NITI Aayog, National Institution for Transforming India, Government of India

Health


Executive Summary Complete Report Guidebook

Despite significant economic growth over the past decades in India, our achievements in population health have not been commensurate. The National Development Agenda, unanimously agreed to by all the State Chief Ministers and Lieutenant Governors of Union Territories in 2015, had, inter alia, identified Health, Nutrition, Education, Women and Children as priority sectors. In order to achieve the National Development Agenda, it is imperative to make rapid improvement in these sectors. While the responsibility in this regard is shared between the Centre and the States, Health being a State subject, implementation is largely done by the States.

India along with other countries has committed to the adoption of Sustainable Development Goals (SDGs) to end poverty, protect the planet, and ensure prosperity for all as part of a new global sustainable development agenda to be achieved by 2030. There is renewed commitment in India, to accelerate the pace of achievement of the SDGs including Goal 3 related to ensuring healthy lives and promoting well-being for all at all ages.

In this regard, in order to rapidly bring about transformative action in achieving the desirable outcomes, a priority for NITI Aayog and Ministry of Health & Family Welfare is to prompt States towards improvements in outcomes in the coming years.In this context, NITI Aayog and MoH&FW are spearheading the Health Index initiative, to measure change in performance over the years.

It is anticipated that this framework will assist in State level monitoring of performance and improvement in health outcomes and will thereby meet the citizens’ expectations.
Final Health Index


S. No

Indicator

Definition

Data Source

Base Year (BY) & Reference Year (RY)

Remarks

DOMAIN 1 – HEALTH OUTCOMES

SUB-DOMAIN 1.1 - KEY OUTCOMES (Weight - Larger States – 500, Smaller States & UTs – 100)

1.1.1

Neonatal Mortality Rate
(NMR)

Number of infant deaths of less than 29 days per thousand live births during a specific year.

Sample Registration System [Pre-filled]

BY:2014
RY:2015

Indicators 1.1.1, 1.1.2, 1.1.3, and 1.1.5 are not applicable for category of Smaller States and UTs

1.1.2

Under-five Mortality Rate (U5MR)

Number of child deaths of less than 5 years per thousand live births during a specific year.

Sample Registration System [Pre-filled]

BY:2014
RY:2015

1.1.3

Total Fertility Rate (TFR)

Average number of children that would be born to a woman if she experiences the current fertility pattern throughout her reproductive span (15-49 years), during a specific year.

Sample Registration System [Pre-filled]

BY:2014
RY:2015

1.1.4

Proportion of Low Birth Weight among newborns
(LBW among infants)

Proportion of low birth weight (<=2.5 kg) newborns out of the total number of newborns weighed during a specific year born in a public health facility.

Health Management Information Systems (HMIS)

BY:2014-15
RY:2015-16

1.1.5

Sex Ratio at Birth
(SRB)

The number of girls born for every 1,000 boys born during a specific year.

Sample Registration System [Pre-filled]

BY:2012-14
RY:2013-15

SUB-DOMAIN 1.2 - INTERMEDIATE OUTCOMES (Weight: Larger & Smaller States – 300, UTs – 250)

1.2.1

Full immunization coverage (%)

Proportion of infants 9-11 months old who have received BCG, 3 doses of DPT, 3 doses of OPV and one dose of measles against estimated number of infants during a specific year.

HMIS

BY:2014-15
RY:2015-16

 

1.2.2

Proportion of institutional deliveries

Proportion of deliveries conducted in public and private health facilities against the number of estimated deliveries during a specific year.

HMIS

BY:2014-15
RY:2015-16

1.2.3

Total Case Notification Rate of TB

Number of new and relapsed TB cases notified (public + private) per 100,000 population during a specific year.

Revised National Tuberculosis Control Programme (RNTCP) MIS, MoHFW
[Pre-filled]

BY:2015
RY:2016

1.2.4

Treatment success rate of new microbiologically confirmed tuberculosis (TB) cases

Proportion of new cured and their treatment completed against the total number of new microbiologically confirmed tuberculosis cases registered during a specific year.

RNTCP MIS, MoHFW
[Pre-filled]

BY:2014
RY:2015

1.2.5

Proportion of people living with HIV (PLHIV) on antiretroviral therapy (ART)

Proportion of PLHIVs receiving ART treatment against the number of estimated PLHIVs who needed ART treatment for the specific year

Central MoHFW Data
[Pre-filled]

BY:2014-15
RY:2015-16

Indicator not applicable for category of UTs.

1.2.6

Out of pocket expenditure per delivery in public health facility (in INR).

Average out of pocket expenditure per delivery in public health facility (in Rupees).

NFHS – 4
[Pre-filled]

RY: 2015-16

Indicator applicable only for reference year ranking. Not considered for incremental ranking.

DOMAIN 2 – GOVERNANCE AND INFORMATION

SUB-DOMAIN 2.1 – HEALTH MONITORING AND DATA INTEGRITY (Weight: 70)

2.1.1

Data Integrity Measure:

a. Institutional deliveries

b. ANC registered within first trimester

Percentage deviation of reported data from standard survey data to assess the quality/integrity of reported data for a specific period.

HMIS and NFHS-4

BY &RY: 2015-16 (NFHS)

BY &RY: 2011-12 to 2015-16 (HMIS)

The NFHS data were available only for Reference Year and the data for this was repeated for the Base Year and Reference Year.

SUB-DOMAIN 2.2 – GOVERNANCE (Weight – 60)

2.2.1

Average occupancy of an officer (in months), combined for following three posts at State level for last three years
1. Principal Secretary
2. Mission Director (NHM)
3. Director- Health Services

Average occupancy of an officer (in months), combined for following posts in last three years:
1. Principal Secretary
2. Mission Director (NHM)
3. Director- Health Services

State report

BY: April 1, 2012-March 31 March 2015

RY: April 1, 2013-March 31, 2016

 

2.2.2

Average occupancy of a full-time officer (in months) in last three years for all Districts- District Chief Medical Officers (CMOs) or equivalent post (Heading District Health Services)

 

 

Average occupancy (in months) of a CMO in last three years for all the Districts

State report

BY: April 1, 2012- March 31, 2015

RY: April 1, 2013-March 31, 2016

DOMAIN 3 – KEY INPUTS / PROCESSES

SUB DOMAIN 3.1 – HEALTH SYSTEMS / SERVICE DELIVERY (Weight – 200)

3.1.1

Proportion of vacant health care provider positions (Regular + Contractual) in public health facilities

Vacant healthcare provider positions in public health facilities against total sanctioned health care provider positions for following cadres (Separately for each cadre) during a specific year:

a. ANMs at Sub-Centres (SCs)
b. Staff nurse at Primary Health Centres and Community Health Centres (PHCs & CHCs)
c. MOs at PHCs
d. Specialists at DH (Medicine, Surgery, Obstetric and Gynae, Pediatrics, Anesthesia, Ophthalmology, Radiology, Pathology, ENT, Dental, Psychiatry)

State report

BY: As on March 31, 2015

RY: As on March 31, 2016

 

3.1.2

Proportion of total staff (regular + contractual) for whom an e-pay slip can be generated in the IT enabled Human Resource Management Information System (HRMIS).

Availability of a functional IT enabled HRMIS measured by the Proportion of staff (Regular + Contractual) for whom an e-pay slip can be generated in the IT enabled HRMIS against total number of staff (Regular + Contractual) during a specific year.

State Report

BY: As on March 31, 2015

RY: As on March 31, 2016

3.1.3

a.  Proportion of specified type of facilities functioning as First Referral Units (FRUs)

Proportion of public sector facilities conducting specified number of C-sections* per year (FRUs) against the norm of 1 FRU per 500,000 population during a specific year

HMIS

BY:2014-15
RY:2015-16

Indicator definition modified

 

b. Proportion of functional 24x7 PHCs

Proportion of PHCs providing all stipulated healthcare services** round the clock against the norm of one 24x7 PHC per 100,000 population during a specific year

State Report

BY:2014-15
RY:2015-16

3.1.4

Proportion of Districts with Functional Cardiac Care Units (CCU)

Proportion of Districts with functional CCU [with desired equipment (ventilator, monitor, defibrillator, CCUs bed, portable ECG machine, pulse oxymeter etc.), drugs, diagnostics and desired staff as per programme guidelines] against total number of districts

State Report

BY: As on March 31, 2015

RY: As on March 31, 2016

3.1.5

Proportion of ANC registered within first trimester against total registrations

Proportion of pregnant women registered for ANC within 12 weeks of pregnancy during a specific year.

HMIS

BY:2014-15
RY:2015-16

3.1.6

Level of registration of births (%)

Proportion of births registered under Civil Registration System (CRS) against the estimated number of births during a specific year.

Civil Registration System (CRS)
[Pre-filled]

BY:2013
RY:2014

3.1.7

Completeness of IDSP reporting of P and L form (%)

Proportion of Reporting Units (RU) reporting in stipulated time period against total Reporting Units, for P and L forms during a specific year.

Central IDSP, MoHFW Data
[Pre-filled]

BY:2014
RY:2015

3.1.8

Proportion of CHCs with grading above 3 points

Proportion of CHCs that are graded above 3 points against total number of CHCs during a specific year.

HMIS

BY:2014-15
RY:2015-16

3.1.9

Proportion of public health facilities with accreditation certificates by a standard quality assurance programme (NQAS /NABH/ISO/AHPI)

Proportion of specified type of public health facilities with accreditation certificates by a standard quality assurance programme against the total number of following specified type of facilities during a specific year.

1. DH-SDH
2. CHC-Block PHC

State Report

BY: As on March 31, 2015

RY: As on March 31, 2016

3.1.10

Average number of days for transfer of Central NHM fund from State Treasury to implementation agency (Department/Society) based on all tranches of the last financial year

Average time taken (in number of days) by the State Treasury to transfer funds to implementation agencies during a specific year.

Centre NHM Finance Data#
[Pre-filled]

BY:2014-15
RY:2015-16

*Criteria for fully operational FRUs: SDHs/CHCs - conducting minimum 60 C-sections per year (36 C-sections per year for hilly and North-East States except Assam); DHs - conducting minimum 120 C-sections per year (72 C-sections per year for hilly and North-East States except Assam).

**Criteria for functional 24x7 PHCs: 10 deliveries per month (5 deliveries per month for hilly and North-East States except Assam)

#Centre NHM Finance data includes the RCH Flexi pool and NHM-Health System Strengthening Flexi pool data (representing a substantial portion of the NHM funds) for calculating delay in transfer of funds.

Executive Summary Complete Report Guidebook

Despite significant economic growth over the past decades in India, our achievements in population health have not been commensurate. The National Development Agenda, unanimously agreed to by all the State Chief Ministers and Lieutenant Governors of Union Territories in 2015, had, inter alia, identified Health, Nutrition, Education, Women and Children as priority sectors. In order to achieve the National Development Agenda, it is imperative to make rapid improvement in these sectors. While the responsibility in this regard is shared between the Centre and the States, Health being a State subject, implementation is largely done by the States.

India along with other countries has committed to the adoption of Sustainable Development Goals (SDGs) to end poverty, protect the planet, and ensure prosperity for all as part of a new global sustainable development agenda to be achieved by 2030. There is renewed commitment in India, to accelerate the pace of achievement of the SDGs including Goal 3 related to ensuring healthy lives and promoting well-being for all at all ages.

In this regard, in order to rapidly bring about transformative action in achieving the desirable outcomes, a priority for NITI Aayog and Ministry of Health & Family Welfare is to prompt States towards improvements in outcomes in the coming years.In this context, NITI Aayog and MoH&FW are spearheading the Health Index initiative, to measure change in performance over the years.

It is anticipated that this framework will assist in State level monitoring of performance and improvement in health outcomes and will thereby meet the citizens’ expectations.
Final Health Index


S. No

Indicator

Definition

Data Source

Base Year (BY) & Reference Year (RY)

Remarks

DOMAIN 1 – HEALTH OUTCOMES

SUB-DOMAIN 1.1 - KEY OUTCOMES (Weight - Larger States – 500, Smaller States & UTs – 100)

1.1.1

Neonatal Mortality Rate
(NMR)

Number of infant deaths of less than 29 days per thousand live births during a specific year.

Sample Registration System [Pre-filled]

BY:2014
RY:2015

Indicators 1.1.1, 1.1.2, 1.1.3, and 1.1.5 are not applicable for category of Smaller States and UTs

1.1.2

Under-five Mortality Rate (U5MR)

Number of child deaths of less than 5 years per thousand live births during a specific year.

Sample Registration System [Pre-filled]

BY:2014
RY:2015

1.1.3

Total Fertility Rate (TFR)

Average number of children that would be born to a woman if she experiences the current fertility pattern throughout her reproductive span (15-49 years), during a specific year.

Sample Registration System [Pre-filled]

BY:2014
RY:2015

1.1.4

Proportion of Low Birth Weight among newborns
(LBW among infants)

Proportion of low birth weight (<=2.5 kg) newborns out of the total number of newborns weighed during a specific year born in a public health facility.

Health Management Information Systems (HMIS)

BY:2014-15
RY:2015-16

1.1.5

Sex Ratio at Birth
(SRB)

The number of girls born for every 1,000 boys born during a specific year.

Sample Registration System [Pre-filled]

BY:2012-14
RY:2013-15

SUB-DOMAIN 1.2 - INTERMEDIATE OUTCOMES (Weight: Larger & Smaller States – 300, UTs – 250)

1.2.1

Full immunization coverage (%)

Proportion of infants 9-11 months old who have received BCG, 3 doses of DPT, 3 doses of OPV and one dose of measles against estimated number of infants during a specific year.

HMIS

BY:2014-15
RY:2015-16

 

1.2.2

Proportion of institutional deliveries

Proportion of deliveries conducted in public and private health facilities against the number of estimated deliveries during a specific year.

HMIS

BY:2014-15
RY:2015-16

1.2.3

Total Case Notification Rate of TB

Number of new and relapsed TB cases notified (public + private) per 100,000 population during a specific year.

Revised National Tuberculosis Control Programme (RNTCP) MIS, MoHFW
[Pre-filled]

BY:2015
RY:2016

1.2.4

Treatment success rate of new microbiologically confirmed tuberculosis (TB) cases

Proportion of new cured and their treatment completed against the total number of new microbiologically confirmed tuberculosis cases registered during a specific year.

RNTCP MIS, MoHFW
[Pre-filled]

BY:2014
RY:2015

1.2.5

Proportion of people living with HIV (PLHIV) on antiretroviral therapy (ART)

Proportion of PLHIVs receiving ART treatment against the number of estimated PLHIVs who needed ART treatment for the specific year

Central MoHFW Data
[Pre-filled]

BY:2014-15
RY:2015-16

Indicator not applicable for category of UTs.

1.2.6

Out of pocket expenditure per delivery in public health facility (in INR).

Average out of pocket expenditure per delivery in public health facility (in Rupees).

NFHS – 4
[Pre-filled]

RY: 2015-16

Indicator applicable only for reference year ranking. Not considered for incremental ranking.

DOMAIN 2 – GOVERNANCE AND INFORMATION

SUB-DOMAIN 2.1 – HEALTH MONITORING AND DATA INTEGRITY (Weight: 70)

2.1.1

Data Integrity Measure:

a. Institutional deliveries

b. ANC registered within first trimester

Percentage deviation of reported data from standard survey data to assess the quality/integrity of reported data for a specific period.

HMIS and NFHS-4

BY &RY: 2015-16 (NFHS)

BY &RY: 2011-12 to 2015-16 (HMIS)

The NFHS data were available only for Reference Year and the data for this was repeated for the Base Year and Reference Year.

SUB-DOMAIN 2.2 – GOVERNANCE (Weight – 60)

2.2.1

Average occupancy of an officer (in months), combined for following three posts at State level for last three years
1. Principal Secretary
2. Mission Director (NHM)
3. Director- Health Services

Average occupancy of an officer (in months), combined for following posts in last three years:
1. Principal Secretary
2. Mission Director (NHM)
3. Director- Health Services

State report

BY: April 1, 2012-March 31 March 2015

RY: April 1, 2013-March 31, 2016

 

2.2.2

Average occupancy of a full-time officer (in months) in last three years for all Districts- District Chief Medical Officers (CMOs) or equivalent post (Heading District Health Services)

 

 

Average occupancy (in months) of a CMO in last three years for all the Districts

State report

BY: April 1, 2012- March 31, 2015

RY: April 1, 2013-March 31, 2016

DOMAIN 3 – KEY INPUTS / PROCESSES

SUB DOMAIN 3.1 – HEALTH SYSTEMS / SERVICE DELIVERY (Weight – 200)

3.1.1

Proportion of vacant health care provider positions (Regular + Contractual) in public health facilities

Vacant healthcare provider positions in public health facilities against total sanctioned health care provider positions for following cadres (Separately for each cadre) during a specific year:

a. ANMs at Sub-Centres (SCs)
b. Staff nurse at Primary Health Centres and Community Health Centres (PHCs & CHCs)
c. MOs at PHCs
d. Specialists at DH (Medicine, Surgery, Obstetric and Gynae, Pediatrics, Anesthesia, Ophthalmology, Radiology, Pathology, ENT, Dental, Psychiatry)

State report

BY: As on March 31, 2015

RY: As on March 31, 2016

 

3.1.2

Proportion of total staff (regular + contractual) for whom an e-pay slip can be generated in the IT enabled Human Resource Management Information System (HRMIS).

Availability of a functional IT enabled HRMIS measured by the Proportion of staff (Regular + Contractual) for whom an e-pay slip can be generated in the IT enabled HRMIS against total number of staff (Regular + Contractual) during a specific year.

State Report

BY: As on March 31, 2015

RY: As on March 31, 2016

3.1.3

a.  Proportion of specified type of facilities functioning as First Referral Units (FRUs)

Proportion of public sector facilities conducting specified number of C-sections* per year (FRUs) against the norm of 1 FRU per 500,000 population during a specific year

HMIS

BY:2014-15
RY:2015-16

Indicator definition modified

 

b. Proportion of functional 24x7 PHCs

Proportion of PHCs providing all stipulated healthcare services** round the clock against the norm of one 24x7 PHC per 100,000 population during a specific year

State Report

BY:2014-15
RY:2015-16

3.1.4

Proportion of Districts with Functional Cardiac Care Units (CCU)

Proportion of Districts with functional CCU [with desired equipment (ventilator, monitor, defibrillator, CCUs bed, portable ECG machine, pulse oxymeter etc.), drugs, diagnostics and desired staff as per programme guidelines] against total number of districts

State Report

BY: As on March 31, 2015

RY: As on March 31, 2016

3.1.5

Proportion of ANC registered within first trimester against total registrations

Proportion of pregnant women registered for ANC within 12 weeks of pregnancy during a specific year.

HMIS

BY:2014-15
RY:2015-16

3.1.6

Level of registration of births (%)

Proportion of births registered under Civil Registration System (CRS) against the estimated number of births during a specific year.

Civil Registration System (CRS)
[Pre-filled]

BY:2013
RY:2014

3.1.7

Completeness of IDSP reporting of P and L form (%)

Proportion of Reporting Units (RU) reporting in stipulated time period against total Reporting Units, for P and L forms during a specific year.

Central IDSP, MoHFW Data
[Pre-filled]

BY:2014
RY:2015

3.1.8

Proportion of CHCs with grading above 3 points

Proportion of CHCs that are graded above 3 points against total number of CHCs during a specific year.

HMIS

BY:2014-15
RY:2015-16

3.1.9

Proportion of public health facilities with accreditation certificates by a standard quality assurance programme (NQAS /NABH/ISO/AHPI)

Proportion of specified type of public health facilities with accreditation certificates by a standard quality assurance programme against the total number of following specified type of facilities during a specific year.

1. DH-SDH
2. CHC-Block PHC

State Report

BY: As on March 31, 2015

RY: As on March 31, 2016

3.1.10

Average number of days for transfer of Central NHM fund from State Treasury to implementation agency (Department/Society) based on all tranches of the last financial year

Average time taken (in number of days) by the State Treasury to transfer funds to implementation agencies during a specific year.

Centre NHM Finance Data#
[Pre-filled]

BY:2014-15
RY:2015-16

*Criteria for fully operational FRUs: SDHs/CHCs - conducting minimum 60 C-sections per year (36 C-sections per year for hilly and North-East States except Assam); DHs - conducting minimum 120 C-sections per year (72 C-sections per year for hilly and North-East States except Assam).

**Criteria for functional 24x7 PHCs: 10 deliveries per month (5 deliveries per month for hilly and North-East States except Assam)

#Centre NHM Finance data includes the RCH Flexi pool and NHM-Health System Strengthening Flexi pool data (representing a substantial portion of the NHM funds) for calculating delay in transfer of funds.

Executive Summary Complete Report Guidebook

Despite significant economic growth over the past decades in India, our achievements in population health have not been commensurate. The National Development Agenda, unanimously agreed to by all the State Chief Ministers and Lieutenant Governors of Union Territories in 2015, had, inter alia, identified Health, Nutrition, Education, Women and Children as priority sectors. In order to achieve the National Development Agenda, it is imperative to make rapid improvement in these sectors. While the responsibility in this regard is shared between the Centre and the States, Health being a State subject, implementation is largely done by the States.

India along with other countries has committed to the adoption of Sustainable Development Goals (SDGs) to end poverty, protect the planet, and ensure prosperity for all as part of a new global sustainable development agenda to be achieved by 2030. There is renewed commitment in India, to accelerate the pace of achievement of the SDGs including Goal 3 related to ensuring healthy lives and promoting well-being for all at all ages.

In this regard, in order to rapidly bring about transformative action in achieving the desirable outcomes, a priority for NITI Aayog and Ministry of Health & Family Welfare is to prompt States towards improvements in outcomes in the coming years.In this context, NITI Aayog and MoH&FW are spearheading the Health Index initiative, to measure change in performance over the years.

It is anticipated that this framework will assist in State level monitoring of performance and improvement in health outcomes and will thereby meet the citizens’ expectations.
Final Health Index


S. No

Indicator

Definition

Data Source

Base Year (BY) & Reference Year (RY)

Base Year (BY) data available for computing Incremental Performance (Yes/No)

Remarks

DOMAIN 1 – HEALTH OUTCOMES

SUB-DOMAIN 1.1 - KEY OUTCOMES (Weight - Larger States – 300, Smaller States & UTs – 0)

1.1.1

Neonatal Mortality Rate
(NMR)

Number of infant deaths of less than 29 days per thousand live births during a specific year.

Sample Registration System [Pre-filled]

BY:2017
RY:2018

Yes

Indicators 1.1.1, 1.1.2 and 1.1.3 are not applicable for category of Smaller States and UTs

1.1.2

Under-five Mortality Rate (U5MR)

Number of child deaths of less than 5 years per thousand live births during a specific year.

Sample Registration System [Pre-filled]

BY:2017
RY:2018

Yes

1.1.3

Sex Ratio at Birth(SRB)*

The number of girls born for every 1,000 boys born during a specific year.

Sample Registration System [Pre-filled]

BY:2017
RY:2018

Yes

SUB-DOMAIN 1.2 - INTERMEDIATE OUTCOMES (Weight: Larger & Smaller States – 350, UTs – 300)

1.2.1

Modern Contraceptive Prevalence

Percentage of women of reproductive age who are using (or whose partner is using) a modern contraceptive method at a specific point in time.

Family Planning Division, MOHFW
[pre-entered]

BY:2017
(As on 31st December 2017)
RY:2018
(As on 31st December 2018)

Yes

1.2.1 and 1.2.7 are not applicable for category of UTs

1.2.2

Full immunization coverage (%)

Proportion of infants 9-11 months old who have received BCG, 3 doses of DPT, 3 doses of OPV and one dose of measles against estimated number of infants during a specific year.

HMIS for number of infants fully immunized and MOHFW for estimated number of infants

BY:2017-18
RY:2018-19

Yes

1.2.3

Proportion of Antenatal Care (ANC) registered within first trimester against total registrations

Proportion of pregnant women registered for ANC within 12 weeks of pregnancy during a specific year.

HMIS

BY:2017-18
RY:2018-19

Yes

1.2.4

Proportion of institutional deliveries

Proportion of deliveries conducted in public and private health facilities against the number of estimated deliveries during a specific year.

HMIS for number of institutional deliveries and MOHFW for estimated number of deliveries

BY:2017-18
RY:2018-19

Yes

1.2.5

Total Case Notification of TB

Proportion of new and previously treated TB cases notified (public + private) against the target of TB cases to be notified during a specific year.

Revised National Tuberculosis Control Programme (RNTCP) MIS, MoHFW [pre-entered]

BY:2017-18
RY:2018-19

Yes

1.2.6

TB Treatment Success Rate

Proportion of total TB notified cases (public) with successful treatment outcome (cured + treatment completed) out of the TB cases notified prior to the specific reporting year.

RNTCP MIS, MoHFW [pre-entered]

BY:2017-18
RY:2018-19

Yes

1.2.7

Proportion of people living with HIV (PLHIV) on antiretroviral therapy (ART)+

Proportion of PLHIVs receiving ART treatment against the number of estimated PLHIVs who needed ART treatment for the specific year.

NACO, MoHFW [pre-entered]

BY:2017-18
RY:2018-19

Yes

DOMAIN 2 – GOVERNANCE AND INFORMATION

SUB-DOMAIN 2.1 – HEALTH MONITORING AND DATA INTEGRITY (Weight: 100)

2.1.1

Data Integrity Measure:

a. Institutional deliveries

b. ANC registered within first trimester

Percentage deviation of reported data from standard survey data to assess the quality/integrity of reported data for a specific period.

HMIS and National Family Health Survey (NFHS)-4

BY &RY: 2015-16 (NFHS)

BY &RY: 2011-12 to 2015-16 (HMIS)

Yes. Data repeated for the BY and RY..

SUB-DOMAIN 2.2 – GOVERNANCE (Weight – 90)

2.2.1

Average occupancy of an officer (in months), combined for three key posts at State level for last three years

Average occupancy of an officer (in months), combined for following posts in last three years:
1. Principal Secretary
2. Mission Director (NHM)
3. Director- Health Services

State report

BY: April 1, 2015-March 31, 2018

RY: April 1, 2016-March 2019

Yes

2.2.2

Average occupancy of a full-time officer (in months) in last three years for all Districts-District CMOs or equivalent post (heading District Health Services)

 

 

Average occupancy (in months) of a CMO in last three years for all the Districts

State report

BY: April 1, 2015- March 31, 2018

RY: April 1, 2016-March 31, 2019

Yes

2.2.3

Number of days for transfer of Central NHM fund from the State treasury to the implementation agency (Department / Society) based on largest tranche of the last financial year +

 

 

Average time taken (in number of days) by the State Treasury to transfer funds to implementation agencies during a specific year.

Centre NHM Finance Data [pre-entered]

BY:2017-18 RY:2018-19

Yes

2.2.3 not applicable for category of UTs.

DOMAIN 3 – KEY INPUTS / PROCESSES

SUB DOMAIN 3.1 – HEALTH SYSTEMS / SERVICE DELIVERY (Weight Larger States: 200, Smaller States & UTs: 180)

3.1.1

Proportion of shortfall of health care providers (regular + contractual) against required number of health care providers in public health facilities

Proportion of shortfall of healthcare provider positions in public health facilities against total number of required health care providers (essential number as per IPHS 2012) for each of the following cadres during a specific year:

a. Auxiliary Nurse Mid-wife (ANM) at Sub-Centres (SCs)
b. Staff nurse at PHCs and CHCs
c. Medical Officer (MOs) at PHCs
d. Specialists at District Hospitals (Medicine, Surgery, Obstetrics and Gynaecology, Paediatrics, Anaesthesia, Ophthalmology, Orthopaedics, Radiology, Pathology, ENT, Dental, Psychiatry)

State report

RY: As on March
31,2019

No

3.1.10 not applicable for category of Smaller States and UTs

3.1.2

Proportion of total staff (regular + contractual) covered under a functional IT enabled integrated Human Resources Management Information System (HRMIS)

Proportion of staff (regular + contractual) for whom pay-slip and transfer / postings are generated in the IT enabled HRMIS against total number of staff (regular + contractual) during a specific year.

State Report

RY: As on March 31, 2019

No

3.1.3

a.  Proportion of specified type of facilities functioning as First Referral Units (FRUs)

Proportion of public sector facilities conducting specified number of C-sections# per year (FRUs) against the norm of 1 FRU per 500,000 population during a specific year

State Report on number of functional FRUs, MoHFW data on required number of FRUs (Pre-entered)

BY:2017-18
RY:2018-19

Yes

b. Proportion of public health facilities with Kayakalp score >70% against total number of public health facilities

Proportion of public health facilities (district hospitals, sub- district hospitals, CHCs, PHCs and UPHCs) with Kayakalp score of >70% against total number of public health facilities (district and sub- district hospitals, CHCs, PHCs and UPHCs).

MoHFW data (pre-entered)

RY: 2018-19

No

3.1.4

Proportion of functional Health and Wellness Centres

Proportion of sub-centres, PHCs and UPHCs functional as Health and Wellness Centres at the end of specific year against the total number of sub-centres, PHCs, and UPHCs.

MoHFW data (pre-entered)

RY: As on March 31, 2019

No

3.1.5

Proportion of District Hospitals with Functional Cardiac Care Units (CCUs)

Proportion of district hospitals with functional CCUs [with ventilator, monitor, defibrillator, CCU beds, portable ECG machine, pulse oxymeter etc.), drugs, diagnostics and desired staff as per programme guidelines] against total number of district hospitals.

State Report

RY: As on March 31, 2019

No

3.1.6

Level of registration of births (%)

Proportion of births registered under Civil Registration System (CRS) against the estimated number of births during a specific year.

CRS
[pre-entered]

BY:2017
RY:2018

Yes

3.1.7

Completeness of IDSP reporting of P and L form (%)

Proportion of Reporting Units (RU) reporting in stipulated time period against total Reporting Units, for P and L forms during a specific year.

Central IDSP, MoHFW Data
[Pre-filled]

BY:2017
RY:2018

Yes

3.1.8

Proportion of CHCs/SDH with grading of 4 points or above

Proportion of CHCs/SDH that are graded 4 points or above against total number of CHCs/SDH during a specific year.

HMIS

BY:2017-18
RY:2018-19

Yes

3.1.9

a. Proportion of public health facilities with accreditation certificates by a standard quality assurance programme (NQAS/NABH)

Proportion of specified type of public health facilities with accreditation certificates by a standard quality assurance programme against the total number of following during a specific year.
1. District hospital (DH)/Sub- district hospital (SDH)
2. CHC/Block PHC

State Report

BY: As on March 31, 2018

RY: As on March 31, 2019

Yes

b. Proportion of DH and CHC certified under LaQshya

Proportion of facilities (DH and CHCs) certified under LaQshya separately for labour room and maternity OT) against total number of DH and CHCs.

MoHFW data [pre-entered]

RY: As on March 31, 2019

No

3.1.10

Proportion of State Government Health Expenditure to Total State Expenditure*

Proportion of State government health expenditure to total State expenditure, during the specific year.

National Health Profile/ National Health Accounts Cell MoHFW [pre-entered]

BY:2015-16
RY:2016-17

Yes

* Applicable for Larger States only;

+ Applicable for Larger and Smaller States only; not applicable for UTs;

# Criteria for fully operational FRUs: SDHs/CHCs - conducting minimum 60 C-sections per year (36 C-sections per year for hilly and north-eastern states except for Assam); DHs - conducting minimum 120 C-sections per year (72 C-sections per year for hilly and north-eastern states except Assam).

$ The delay is computed by considering the maximum amount released under NHM instead of number of tranches.

Executive Summary Complete Report Guidebook

Despite significant economic growth over the past decades in India, our achievements in population health have not been commensurate. The National Development Agenda, unanimously agreed to by all the State Chief Ministers and Lieutenant Governors of Union Territories in 2015, had, inter alia, identified Health, Nutrition, Education, Women and Children as priority sectors. In order to achieve the National Development Agenda, it is imperative to make rapid improvement in these sectors. While the responsibility in this regard is shared between the Centre and the States, Health being a State subject, implementation is largely done by the States.

India along with other countries has committed to the adoption of Sustainable Development Goals (SDGs) to end poverty, protect the planet, and ensure prosperity for all as part of a new global sustainable development agenda to be achieved by 2030. There is renewed commitment in India, to accelerate the pace of achievement of the SDGs including Goal 3 related to ensuring healthy lives and promoting well-being for all at all ages.

In this regard, in order to rapidly bring about transformative action in achieving the desirable outcomes, a priority for NITI Aayog and Ministry of Health & Family Welfare is to prompt States towards improvements in outcomes in the coming years.In this context, NITI Aayog and MoH&FW are spearheading the Health Index initiative, to measure change in performance over the years.

It is anticipated that this framework will assist in State level monitoring of performance and improvement in health outcomes and will thereby meet the citizens’ expectations.
Final Health Index


S. No

Indicator

Definition

Data Source

Base Year (BY) & Reference Year (RY)

Base Year (BY) data available for computing Incremental Performance (Yes/No)

Remarks

DOMAIN 1 – HEALTH OUTCOMES

SUB-DOMAIN 1.1 - KEY OUTCOMES (Weight - Larger States – 400, Smaller States & UTs – Nil)

1.1.1

Neonatal Mortality Rate
(NMR)

Number of infant deaths of less than 29 days per thousand live births during a specific year.

Sample Registration System (SRS) [pre-entered]

BY:2018
RY:2019

Yes

Indicators 1.1.1, 1.1.2, 1.1.3 and 1.1.4 are not applicable for category of Smaller States and UTs

1.1.2

Under-five Mortality Rate (U5MR)

Number of child deaths of less than 5 years per thousand live births during a specific year.

SSample Registration System (SRS) [pre-entered]

BY:2017
RY:2018

Yes

1.1.3

Sex Ratio at Birth(SRB)*

The number of girls born for every 1,000 boys born during a specific year.

Sample Registration System (SRS) [pre-entered]

BY:2016-18
RY:2017-19

Yes

1.1.4

Maternal Mortality Ratio (MMR)

Number of maternal deaths per 100,000 live births during a given time period.

Sample Registration System (SRS)

BY:2016-18
RY:2027-19

Yes

SUB-DOMAIN 1.2 - INTERMEDIATE OUTCOMES (Weight: Larger & Smaller States – 350, UTs – 250)

1.2.1

Modern Contraceptive Prevalence Rate(MCPR)+

The percentage of women of reproductive age who are using (or whose partner is using) a modern contraceptive method at a specific point in time.

FP Division, MOHFW based on Family Planning Estimation Tool[pre-filled]

BY:2018
(As on 31st December 2018)
RY:2019
(As on 31st December 2019)

Yes

1.2.1 and 1.2.7 are not applicable for category of UTs

1.2.2

Full immunization coverage (%)

Proportion of infants 9-11 months old who have received BCG, 3 doses of DPT, 3 doses of OPV and measles against estimated number of infants during a specific year.

Health Management Information System (HMIS)

BY:2018-19 (Apr 2018-Mar 2029)
RY:2019-20 (Apr 2019-Mar 2020)

Yes

1.2.3

a. Proportion of ANCs registered within first trimester against total registrations

Proportion of pregnant women registered for ANC within 12 weeks of pregnancy during a specific year.

HMIS

BY:2018-19 (Apr 2018-Mar 2019)
RY:2019-20 (Apr 20189-Mar 2020)

Yes

b. Proportion of pregnant women received 4 or more ANCs

Proportion of pregnant women received 4 or more ANCs against total number of women registered for ANC during a specific year.

HMIS

BY:2018-19 (Apr 2018-Mar 2019)
RY:2019-20 (Apr 2019-Mar 2020)

Yes

1.2.4

Proportion of institutional deliveries

Proportion of deliveries conducted in public and private health facilities against the number of estimated deliveries during a specific year.

Health Management Information System (HMIS)

BY:2018-19 (Apr 2018-Mar 2019)
RY:2019-20 (Apr 2019-Mar 2020)

Yes

1.2.5

Total Case Notification of tuberculosis (TB)

Proportion of new and previously treated TB cases notified (public + private) against the target of TB cases to be notified during a specific year.

Revised National Tuberculosis Control Programme (RNTCP) MIS, MoHFW, (CTB Divison )

BY:2018 (Jan-Dec 2018)
RY:2019 (Jan-Dec 2019)

Yes

1.2.6

TB Treatment Success Rate

Proportion of total TB notified cases (public + private) with successful Treatment outcome (cured + treatment completed) against TB cases notified a year prior to the specific year.

RNTCP/NTEP MIS, MoHFW [pre-entered]

BY: Numerator: 2018 (Jan-Dec 2018), Denominator: 2017 (Jan-Dec 2017)
RY: Numerator: 2019 (Jan-Dec 2019), Denominator: 2018 (Jan- Dec 2018)

Yes

1.2.7

Proportion of people living with HIV (PLHIV) on antiretroviral therapy (ART)+

Proportion of PLHIVs receiving ART treatment against the number of estimated PLHIVs who needed ART treatment for the specific year.

Central MoHFW Data

BY:2018-19 (Apr 2018-Mar 2019)
RY:2019-20 (Apr 2019-Mar 2020)

Yes

DOMAIN 2 – GOVERNANCE AND INFORMATION

SUB-DOMAIN 2.1 – HEALTH MONITORING AND DATA INTEGRITY ((Weight: Larger States-50), Smaller States and UTs -Nil)

2.1.1

Institutional births- Percentage deviation of between reported HMIS data and SRS data*

Percentage deviation of reported HMIS data from SRS for Institutional Deliveries to assess the quality/integrity of reported data for a specific period.

Health Management Information System (HMIS) and Sample Registration System(SRS) [pre-entered ]

BY &RY: 2018 (SRS), 2018-19 (HMIS)

RY &RY: 2019 (SRS), 2019-20 (HMIS)

Yes. Data repeated for the BY and RY..

In round-III (2018-19), the percentage deviation between NFHS-4 and HMIS data was used as data integrity measure for indicators on „institutional delivery‟ and „first trimester ANC registration‟. In this round, NFHS-5 data were to be used. However, NFHS-5 results are currently available only for 22 States/UTs. An alternative source of data on „institutional deliveries‟ is SRS which is updated annually but is only available for Larger States. Therefore, the percentage deviation between SRS and HMIS data on institutional deliveries will be used as data integrity measure in round-IV (2019-20) of the Health index for Larger States. If NFHS-5 data becomes available before finalization of the validation exercise, then deviation of HMIS data from NFHS-5 data for the indicators „average proportion of institutional deliveries‟ and „ANC registered within first trimester‟ (these indicators to be calculated separately corresponding to the NFHS-5 reference period for these indicators) will be considered for use as data integrity measure. This indicator will then be applicable for all the categories of states/UTs.

SUB-DOMAIN 2.2 – GOVERNANCE (Weight - Larger States and Smaller States - 90, UTs - 60)

2.2.1

Average occupancy of an officer (in months), combined for following three posts at State level for last three years

Average occupancy of an officer (in months), combined for following posts in last three years:
1. Principal Secretary
2. Mission Director (NHM)
3. Director- Health Services

State report

BY: Last 3 years as of March 31, 2019 [Apr 1, 2016-Mar 31, 2019]

RY: Last 3 years as of March 31, 2020 [Apr 1, 2017-Mar 31, 2020]

Yes

The average tenure per officer of all 3 posts needs to be calculated separately by using the.

  • Number of months the post remained filled with full time officer(s) in the specific last three years, and
  • Number of full-time officers that occupied the post in the specific three years

2.2.2

Average occupancy of a full-time officer (in months) for all the districts in last three years - District Chief Medical Officers (CMOs) or equivalent post (heading District Health Services)

 

 

Average occupancy of a full time CMO (in months) for all the districts in last three years

State report

BY: Last 3 years as of March 31, 2019 [Apr 1, 2016-Mar 31, 2019]

RY: Last 3 years as of March 31, 2020 [Apr 1, 2017-Mar 31, 2020]

Yes

The average tenure per officer for all districts needs to be calculated separately by using the

  • Number of months the post remained filled with full time officer(s) in the specific last three years, and
  • Number of full-time officers that occupied the post in the specific three years

2.2.3

Average number of days for transfer of Central NHM fund from State Treasury to implementation agency (Department/ Society) based on the largest tranche of the last financial year+

 

 

Average time taken (in number of days) by the State Treasury to transfer funds to implementation agency for the largest amount tranche during a specific year.

Centre NHM Finance Data [pre-entered]

BY:2018-19 (Apr 2018-Mar 2019)

RY:2019-20 (Apr 2019-Mar 2020)

Yes

Centre NHM Finance data includes the RCH flexi-pool and NHM-Health System Strengthening flexi-pool data (representing a substantial portion of the NHM funds), for calculating delay in transfer of funds.

DOMAIN 3 – KEY INPUTS / PROCESSES

SUB DOMAIN 3.1 – HEALTH SYSTEMS / SERVICE DELIVERY (Weight Larger States: 180, Smaller States & UTs: 160)

3.1.1

Proportion of Shortfall of Health care providers ( regular+ contractual) against required number of Health care providers in Public Health facilities ( IPHS 2012 Essential Criteria)

Proportion of shortfall of healthcare providers in public health facilities against total number of required health care providers (essential number as per IPHS 2012) / NUHM for each of the following cadres during a specific year::

a. Auxiliary Nurse Mid-wife (ANM) at Sub-Centres (SCs), including SC-HWCs
b. Staff nurse at Primary Health Centres (PHCs/UPHCs, including PHCHWCs and UPHC-HWCs) and Community Health Centres (CHCs/UCHCs)
c. Medical Officer (MOs) at PHCs/UPHCs
d. Specialists at District Hospitals (Medicine, Surgery, Obstetrics and Gynaecology, Paediatrics, Anaesthesia, Ophthalmology, Orthopaedics, Radiology, Pathology, ENT, Dental, Psychiatry)

State report

RY: As on March
31,2020
BY: As on March
31,2019

No

IPHS 2012 norms to be used for calculating essential number required for rural health facilities and for Urban Health facilities (UPHCs/UCHCs) norms provided by National Urban Health Mission to be used.

3.1.2

Proportion of total staff (regular + contractual) covered under a functional IT enabled integrated Human Resources Management Information System (HRMIS)

Proportion of staff (regular + contractual) for whom pay-slip and transfer / postings are generated in the IT enabled HRMIS against total number of staff (regular + contractual) during a specific year.

State Report

BY: As on March 31, 2019
RY: As on March 31, 2020

No

3.1.3

a.  Proportion of specified type of facilities functioning as First Referral Units (FRUs) against population norm#

Proportion of public sector facilities conducting specified number of C-sections# per year (FRUs) against the norm of 1 FRU per 500,000 population during a specific year

State Report on number of functional FRUs, MoHFW data on required number of FRUs (Pre-entered)

BY:2018-19 (Apr 2018-Mar 2019)
RY:2019-20 (Apr 2019-Mar 2020)

Yes

  • Criteria for fully operational FRUs:
    - For SDHs/CHCs - conducting minimum 60 C-Sections per year (36 Csections per year for Hilly and North-Eastern States except Assam)
    - For DHs - conducting minimum 120 C-Sections per year (72 C-sections per year for Hilly and North-Eastern States except Assam)

b. Proportion of public health facilities with Kayakalp score >70% against total number of public health facilities

Proportion of public health facilities (district and sub-district hospitals, community health centres and primary health centres) with Kayakalp score of >70% against total number of (district and sub-district hospitals, community health centres and primary health centres.

MoHFW data (pre-entered)

BY: As on 31st March, 2019
RY: As on 31st March, 2020

No

3.1.4

Proportion of functional Health and Wellness Centres(HWCs)

Proportion of sub-centres, PHCs and UPHCs functional as Health and Wellness Centres at the end of specific year against the total number of sub-centres, PHCs, and UPHCs.

MoHFW data (pre-entered)

RY: As on March 31, 2019

No

A validation check of at least 2% of reported Functional HWCs in each state/UT will be conducted by MoHFW through an independent agency. A correction factor will be applied based on MoHFW‟s validation check
The functionality of the Health and Wellness center at Sub-center, PHCs and UPHCs will be defined as per the guidelines of Health and Wellness Centers.

3.1.5

Proportion of District Hospitals with Functional Cardiac Care Units (CCUs)

Proportion of Districts with functional CCUs [with desired equipment (ventilator, monitor, defibrillator, CCU beds, portable ECG machine, pulse oxymeter etc.), drugs, diagnostics and desired staff as per programme guidelines] against total number of districts.

State Report

RY: As on March 31, 2019
RY: As on March 31, 2020

No

3.1.6

a. Level of registration of births

Proportion of births registered under Civil Registration System (CRS) against the estimated number of births during a specific year.

CRS
[pre-entered]

BY:2018 (Jan-Dec 2018)
RY:2019 (Jan-Dec 2019)

Yes

b. Level of registration of deaths

Proportion of deaths registered under Civil Registration System (CRS) against the estimated number of deaths during a specific year.

CRS
[pre-entered]

BY:2018 (Jan-Dec 2018)
RY:2018 (Jan-Dec 2019)

Yes

3.1.7

Completeness of Integrated Disease Surveillance Programme (IDSP) reporting of P and L forms

Proportion of Reporting Units (RUs) reporting in stipulated time period against total RUs for P and L forms during a specific year.

Central IDSP, MoHFW Data
[Pre-filled]

BY:2018 (Jan-Dec 2018)
RY:2018 (Jan-Dec 2019)

Yes

Average scaled value for P and L forms to be calculated based on scaled values of P and L forms

3.1.8

a. Proportion of public health facilities with accreditation certificates by a standard quality assurance programme (NQAS /NABH )

Proportion of specified type of public health facilities with accreditation certificates by a standard quality assurance programme against the total number of following specified type of facilities during a specific year.
1. District hospital (DH) / Sub-district hospital (SDH)
2. CHC
3. PHC-UPHC

State Report

BY:As on March 31, 2019
RY:As on March 31, 2020

Yes

Average scaled value for DH-SDH/CHC,/PHCs-UPHCs to be calculated based on scaled values of above type of facilities

b. Proportion of district hospitals and community health centers certified under LaQshya

Proportion of facilities (DH and CHCs) certified under LaQshya against total number of DH and CHCs

MoHFW data [pre-entered]

BY:2018-19 (Apr 2018-Mar 2019)
RY:2019-20 (Apr 2019-Mar 2020)

Yes

Average scaled values for DH-SDH and CHC-Block PHCs to be calculated based on scaled values of above type of facilities

3.1.9

Proportion of State Government Health Expenditure to Total State Expenditure

Proportion of State government health expenditure to total State expenditure, during the specific year.

National Health Profile/ National Health Accounts Cell MoHFW [pre-entered]

BY: 2016-17 (Apr 2016-Mar 2017)

RY: 2017-18 (Apr 2017-Mar 2018)

Yes

Indicator not applicable for the category of Smaller States and UTs

* Applicable only for Larger States

+ Applicable only for Larger and Smaller States; not applicable for UTs

# one FRU per 500,000 population

Guidebook

Despite significant economic growth over the past decades in India, our achievements in population health have not been commensurate. The National Development Agenda, unanimously agreed to by all the State Chief Ministers and Lieutenant Governors of Union Territories in 2015, had, inter alia, identified Health, Nutrition, Education, Women and Children as priority sectors. In order to achieve the National Development Agenda, it is imperative to make rapid improvement in these sectors. While the responsibility in this regard is shared between the Centre and the States, Health being a State subject, implementation is largely done by the States.

India along with other countries has committed to the adoption of Sustainable Development Goals (SDGs) to end poverty, protect the planet, and ensure prosperity for all as part of a new global sustainable development agenda to be achieved by 2030. There is renewed commitment in India, to accelerate the pace of achievement of the SDGs including Goal 3 related to ensuring healthy lives and promoting well-being for all at all ages.

In this regard, in order to rapidly bring about transformative action in achieving the desirable outcomes, a priority for NITI Aayog and Ministry of Health & Family Welfare is to prompt States towards improvements in outcomes in the coming years.In this context, NITI Aayog and MoH&FW are spearheading the Health Index initiative, to measure change in performance over the years.

It is anticipated that this framework will assist in State level monitoring of performance and improvement in health outcomes and will thereby meet the citizens’ expectations.
Final Health Index


S. No

Indicator

Definition

Data Source

Base Year (BY) & Reference Year (RY)

Base Year (BY) data available for computing Incremental Performance (Yes/No)

Remarks

DOMAIN 1 – HEALTH OUTCOMES

SUB-DOMAIN 1.1 - KEY OUTCOMES (Weight - Larger States – 400, Smaller States & UTs – Nil)

1.1.1

Neonatal Mortality Rate
(NMR)

Number of infant deaths of less than 29 days per thousand live births during a specific year.

Sample Registration System (SRS) [pre-entered]

BY:2029 (Jan–Dec 2019)
RY:2020 (Jan–Dec 2020)

Yes

Indicators 1.1.1, 1.1.2, 1.1.3 and 1.1.4 are not applicable for the category of the Smaller States and UTs

1.1.2

Under-five Mortality Rate (U5MR)

Number of child deaths of less than 5 years per thousand live births during a specific year.

SSample Registration System (SRS) [pre-entered]

BY:2029 (Jan–Dec 2019)
RY:2020 (Jan–Dec 2020)

Yes

1.1.3

Sex Ratio at Birth(SRB)*

The number of girls born for every 1,000 boys born during a specific year.

Sample Registration System (SRS) [pre-entered]

BY:2017-19 (Jan-Dec)
RY:2018-20 (Jan- Dec)

Yes

1.1.4

Maternal Mortality Ratio (MMR)

Number of maternal deaths during a given time period per 100,000 live births.

Sample Registration System (SRS) [pre-entered]

BY:2017-19 (Jan-Dec)
RY:2018-20 (Jan- Dec)

Yes

SUB-DOMAIN 1.2 - INTERMEDIATE OUTCOMES (Weight: Larger & Smaller States – 350, UTs – 250)

1.2.1

Modern Contraceptive Prevalence Rate(MCPR)

The percentage of women of reproductive age who are using (or whose partner is using) a modern contraceptive method at a specific point in time.

FP Division, MOHFW based on FP estimation tool [pre-entered], Indicator not applicable for the category of UTs

BY:2019 (As of 31st December 2019)
RY:2020 (As of 31st December 2020)

Yes

1.2.1 and 1.2.7 are not applicable for category of UTs.

Indicator 1.2.1 For States achieving TFR and MCPR, the weight of the indicator is to be distributed to the other indicators for the State.

1.2.2

Full immunization coverage (%)

Proportion of infants 9-11 months old who have received BCG, 3 doses of DPT, 3 doses of OPV and measles against estimated number of infants during a specific year.

Health Management Information System (HMIS)

BY:2019-20 (Apr 2019-Mar 2020)
RY:2020-21 (Apr 2020-Mar 2021)

Yes

1.2.3

a. Proportion of ANCs registered within first trimester against total registrations

Proportion of pregnant women registered for ANC within 12 weeks of pregnancy during a specific year.

HMIS

BY:2019-20 (Apr 2019-Mar 2020)
RY:2020-21 (Apr 2020-Mar 2021)

Yes

b. Proportion of pregnant women received 4 or more ANCs

Proportion of pregnant women received 4 or more ANCs against total number of women registered for ANC during a specific year.

HMIS

BY:2019-20 (Apr 2019-Mar 2020)
RY:2020-21 (Apr 2020-Mar 2021)

Yes

1.2.4

Proportion of institutional deliveries

Proportion of deliveries conducted in public and private health facilities against the number of estimated deliveries during a specific year.

Health Management Information System (HMIS)

BY:2019-20 (Apr 2019-Mar 2020)
RY:2020-21 (Apr 2020-Mar 2021)

Yes

1.2.5

Total Case Notification of tuberculosis (TB)

Proportion of new and previously treated TB cases notified (public + private) against the target of TB cases to be notified during a specific year.

Revised National Tuberculosis Control Programme ( (RNTCP)/NTEP MIS, MoHFW [pre-entered]

BY:2019 (Jan-Dec 2019)
RY:2020 (Jan-Dec 2020)

Yes

1.2.6

TB Treatment Success Rate

Proportion of total TB notified cases (public + private) with successful Treatment outcome (cured + treatment completed) against TB cases notified a year prior to the specific year.

RNTCP/NTEP MIS, MoHFW [pre-entered]

BY: Numerator: 2019 (Jan-Dec 2019), Denominator: 2018 (Jan-Dec 2018)
RY: Numerator: 2020 (Jan-Dec 2020), Denominator: 2019 (Jan- Dec 2019)

Yes

1.2.7

Proportion of people living with HIV (PLHIV) on antiretroviral therapy (ART)

Proportion of PLHIVs receiving ART treatment against the number of estimated PLHIVs who needed ART treatment for the specific year.

Central MoHFW Data [pre-entered]

BY:2019-20 (Apr 2019-Mar 2020)
RY:2020-21 (Apr 2020-Mar 2021)

Yes

DOMAIN 2 – GOVERNANCE AND INFORMATION

SUB-DOMAIN 2.1 – HEALTH MONITORING AND DATA INTEGRITY (Weight: 100 for all States and UTs)

2.1.1

Data Integrity Measure: Institutional deliveries and ANC registered within first trimester

Percentage deviation of reported HMIS data from NFHS for
a)Institutional Deliveries and
b) ANC registered within first trimester data to assess the quality/integrity of reported data for a specific period.

Health Management Information System (HMIS) and National Family Health Survey (NFHS) [pre-entered]

BY &RY: 2019-20 (NFHS), 2016-17 to 2020-21 (HMIS)

RY &RY: 2019-20 (NFHS), 2016-17 to 2020-21 (HMIS)

Yes. Data repeated for the BY and RY..

The NFHS-5 data will be used for the base year and reference year. The average proportion of institutional deliveries and ANC registered within first trimester calculated separately by using the HMIS data for the five year i.e. 2016-17, 2017-18, 2018-19, 2019-20, 2020-21. [Pre-entered]

SUB-DOMAIN 2.2 – GOVERNANCE (Weight – 120 for Larger States, 90 for Smaller States, and 60 for UTs)

2.2.1

Average occupancy of an officer (in months), combined for three key posts at State level for last three years

Average occupancy of an officer (in months), combined for following posts in last three years:
1. Principal Secretary / Secretary (where PS not applicable)
2. Mission Director (NHM)
3. Director- Health Services / DGHS where DHS not applicable

State report

BY: Last 3 years as of March 31, 2020 [Apr 1, 2017-Mar 31, 2020]

RY: Last 3 years as of March 31, 2021 [Apr 1, 2018-Mar 31, 2021]

Yes

The average tenure per officer of all 3 posts needs to be calculated separately by using the.

  • Number of months the post remained filled with full time officer(s) in the specific last three years, and
  • Number of full-time officers that occupied the post in the specific three years

2.2.2

Average occupancy of a full-time officer (in months) for all the districts in last three years - District Chief Medical Officers (CMOs) or equivalent post (heading District Health Services)

 

 

Average occupancy of a full time CMO (in months) for all the districts in last three years

State report

BY: Last 3 years as of March 31, 2020 [Apr 1, 2017-Mar 31, 2020]

RY: Last 3 years as of March 31, 2021 [Apr 1, 2018-Mar 31, 2021]

Yes

The average tenure per officer for all districts needs to be calculated separately by using the

  • Number of months the post remained filled with full time officer(s) in the specific last three years, and
  • Number of full-time officers that occupied the post in the specific three years

2.2.3

Number of days for transfer of Central National Health Mission (NHM) fund from State Treasury to implementation agency (Department/Society) based on largest tranche of the last financial year

 

 

Time taken (in number of days) by the State Treasury to transfer funds to implementation agency for the largest amount tranche during a specific year.

Centre NHM Finance Data [pre-entered]

BY:2019-20 (Apr 2019-Mar 2020)

RY:2020-21 (Apr 2020-Mar 2021)

Yes

Centre NHM Finance data includes the RCH flexi-pool and NHM-Health System Strengthening flexi-pool data (representing a substantial portion of the NHM funds), for calculating delay in transfer of funds.

2.2.4

Proportion of State Government Health Expenditure to Total State Expenditure

 

 

Proportion of State government health expenditure to total State expenditure, during the specific year.

RBI Reports [pre-entered]

BY:2019-20 (Apr 2019-Mar 2020)

RY:2020-21 (Apr 2020-Mar 2021)

Yes

ndicator not applicable for the category of Smaller States and UTs.

DOMAIN 3 – KEY INPUTS / PROCESSES

SUB DOMAIN 3.1 – HEALTH SYSTEMS / SERVICE DELIVERY ((Weight – 160 for Larger, Smaller States,and UTs)

3.1.1

Proportion of shortfall of health care providers (regular + contractual) against required number of health care providers in public health facilities

Proportion of shortfall of healthcare providers in public health facilities against total number of required health care providers (essential number as per IPHS 2012) / NUHM for each of the following cadres during a specific year::

a. Auxiliary Nurse Mid-wife (ANM) at Sub-Centres (SCs)
b. Staff nurse at Primary Health Centres (PHCs/UPHCs) and Community Health Centres (CHCs/UCHCs)
c. Medical Officer (MOs) at PHCs/UPHCs
d. Specialists at District Hospitals (Medicine, Surgery, Obstetrics and Gynaecology, Paediatrics, Anaesthesia, Ophthalmology, Orthopaedics, Radiology, Pathology, ENT, Dental, Psychiatry)
e. Lab technician at Primary Health Centres (PHCs/UPHCs) and Community Health Centres (CHCs/UCHCs)

State report

RY: As on March
31,2021
BY: As on March
31,2020

No

IPHS 2012 norms to be used for calculating essential number required for rural health facilities and for Urban Health facilities (UPHCs/UCHCs) norms provided by National Urban Health Mission to be used.

3.1.2

Proportion of total staff (regular + contractual) covered under a functional IT enabled integrated Human Resources Management Information System (HRMIS)

Proportion of staff (regular + contractual) for whom pay-slip and transfer / postings are generated in the IT enabled HRMIS against total number of staff (regular + contractual) during a specific year.

State Report. The independent validation agency will verify the following to ascertain the functionality of IT enabled HRMIS: i) Facility wise generation of line listing of HR (regular and contractual), ii) Pay slip generation of all HR, iii) Generation of all transfer / postings and iv) HR numbers in HRMIS match with HMIS (within a variation of 5 percent

BY: As on March 31, 2020
RY: As on March 31, 2021

No

3.1.3

a.  Proportion of specified type of facilities functioning as First Referral Units (FRUs) as against population norm

Proportion of public sector facilities conducting specified number of C-sections per year (FRUs) against the norm of 1 FRU per 500,000 population during a specific year

State Report on number of functional FRUs, MoHFW data on required number of FRUs (Pre-entered)

BY:2019-20 (Apr 2019-Mar 2020)
RY:2020-21 (Apr 2020-Mar 2021)

Yes

  • Criteria for fully operational FRUs:
    - For SDHs/CHCs - conducting minimum 60 C-Sections per year (36 Csections per year for Hilly and North-Eastern States except Assam)
    - For DHs - conducting minimum 120 C-Sections per year (72 C-sections per year for Hilly and North-Eastern States except Assam)

b. Proportion of public health facilities with Kayakalp score >70% against total number of public health facilities

Proportion of public health facilities (district hospitals, sub-district hospitals, community health centres primary health centres and UPHCs) with Kayakalp score of >70% against total number of public health facilities (district hospitals, sub-district hospitals, community health centres, primary health centres and UPHCs).

MoHFW data (pre-entered)

BY: As on 31st March, 2020
RY: As on 31st March, 2021

No

3.1.4

Proportion of functional Health and Wellness Centres(HWCs)

Proportion of sub-centres, PHCs and UPHCs functional as Health and Wellness Centres at the end of specific year against the total number of sub-centres, PHCs, and UPHCs.

MoHFW data (pre-entered)

RY: As on March 31, 2019

No

A validation check of at least 2% of reported Functional HWCs in each state/UT will be conducted by MoHFW through an independent agency. A correction factor will be applied based on MoHFW‟s validation check
The functionality of the Health and Wellness center at Sub-center, PHCs and UPHCs will be defined as per the guidelines of Health and Wellness Centers.

3.1.5

Proportion of District Hospitals with Functional Cardiac Care Units (CCUs)

Proportion of Districts with functional CCUs [with desired equipment (ventilator, monitor, defibrillator, CCU beds, portable ECG machine, pulse oxymeter etc.), drugs, diagnostics and desired staff as per programme guidelines] against total number of districts.

State Report

RY: As on March 31, 2019
RY: As on March 31, 2020

No

3.1.6

a. Level of registration of births

Proportion of births registered under Civil Registration System (CRS) against the estimated number of births during a specific year.

CRS
[pre-entered]

BY:2018 (Jan-Dec 2018)
RY:2019 (Jan-Dec 2019)

Yes

b. Level of registration of deaths

Proportion of deaths registered under Civil Registration System (CRS) against the estimated number of deaths during a specific year.

CRS
[pre-entered]

BY:2018 (Jan-Dec 2018)
RY:2018 (Jan-Dec 2019)

Yes

3.1.7

Completeness of Integrated Disease Surveillance Programme (IDSP) reporting of P and L forms

Proportion of Reporting Units (RUs) reporting in stipulated time period against total RUs for P and L forms during a specific year.

Central IDSP, MoHFW Data
[Pre-filled]

BY:2018 (Jan-Dec 2018)
RY:2018 (Jan-Dec 2019)

Yes

Average scaled value for P and L forms to be calculated based on scaled values of P and L forms

3.1.8

a. Proportion of public health facilities with accreditation certificates by a standard quality assurance programme (NQAS /NABH )

Proportion of specified type of public health facilities with accreditation certificates by a standard quality assurance programme against the total number of following specified type of facilities during a specific year.
1. District hospital (DH) / Sub-district hospital (SDH)
2. CHC
3. PHC-UPHC

State Report

BY:As on March 31, 2019
RY:As on March 31, 2020

Yes

Average scaled value for DH-SDH/CHC,/PHCs-UPHCs to be calculated based on scaled values of above type of facilities

b. Proportion of district hospitals and community health centers certified under LaQshya

Proportion of facilities (DH and CHCs) certified under LaQshya against total number of DH and CHCs

MoHFW data [pre-entered]

BY:2018-19 (Apr 2018-Mar 2019)
RY:2019-20 (Apr 2019-Mar 2020)

Yes

Average scaled values for DH-SDH and CHC-Block PHCs to be calculated based on scaled values of above type of facilities

3.1.9

Proportion of State Government Health Expenditure to Total State Expenditure

Proportion of State government health expenditure to total State expenditure, during the specific year.

National Health Profile/ National Health Accounts Cell MoHFW [pre-entered]

BY: 2016-17 (Apr 2016-Mar 2017)

RY: 2017-18 (Apr 2017-Mar 2018)

Yes

Indicator not applicable for the category of Smaller States and UTs

* Applicable only for Larger States

+ Applicable only for Larger and Smaller States; not applicable for UTs

# one FRU per 500,000 population