Indicator Manual 1 MATERNAL HEALTH INDICATORS Indicator MH 1: Antenatal care first visit coverage rate A: ANC – First Visit B: ANC First Visit in first trimester C: ANC registered under JSY Definition Percentage of pregnant women who used Antenatal Care (ANC) provided by skilled health personnel, for reasons related to pregnancy, registered in first trimester of pregnancy N.B - This indicator is also known as “ Any Antenatal care visit” Numerator: A: New Registered/first ANC visit of a pregnant woman B: Pregnant women registered within first trimester C: New women registered under JSY Denominator A:Total expected pregnancies B,C: Total number of ANC registered Rationale • This first visit should be a "registration" visit where all initial procedures relating to assessing/preparing a woman for pregnancy and delivery. This should include history, examination, initial blood tests and immunisation. • Antenatal care coverage is an indicator of access and use of health care during pregnancy. All women should have at least three antenatal visits during a pregnancy. • ANC should start as early in pregnancy as possible. • % ANC registration in first trimester shows early care and level of awareness • % of women registered under JSY shows: number of women entitled to benefits under JSY. This is include : a) all women in EAG and NE states b) only BPL & SC/ST women in HPS states • % of pregnant women receiving any ANC is a sensitive indicator of outreach Data Source • Antenatal / pregnancy registers; Maternal health cards • Household surveys • Population data - an estimate of the number of pregnant women is close to the number of children born (2.2-3.2% of population) Suggested level of use National, state, district/ block and sub-centre Other Useful • Risk and continuity indicators are important in ANC
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Indicator Manual
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MATERNAL HEALTH INDICATORS
Indicator MH 1: Antenatal care first visit coverage rate
A: ANC – First Visit
B: ANC First Visit in first trimester
C: ANC registered under JSY
Definition Percentage of pregnant women who used Antenatal
Care (ANC) provided by skilled health personnel, for
reasons related to pregnancy, registered in first trimester of
pregnancy
N.B - This indicator is also known as “ Any Antenatal care
visit”
Numerator: A: New Registered/first ANC visit of a pregnant woman
B: Pregnant women registered within first trimester
C: New women registered under JSY
Denominator A:Total expected pregnancies
B,C: Total number of ANC registered
Rationale • This first visit should be a "registration" visit where all initial procedures relating to assessing/preparing a woman for
pregnancy and delivery. This should include history,
examination, initial blood tests and immunisation.
• Antenatal care coverage is an indicator of access and use of health care during pregnancy. All women should
have at least three antenatal visits during a pregnancy.
• ANC should start as early in pregnancy as possible.
• % ANC registration in first trimester shows early care and
level of awareness
• % of women registered under JSY shows: number of
women entitled to benefits under JSY. This is include : a)
all women in EAG and NE states b) only BPL & SC/ST
women in HPS states
• % of pregnant women receiving any ANC is a sensitive
indicator of outreach
Data Source • Antenatal / pregnancy registers; Maternal health cards
• Household surveys • Population data - an estimate of the number of
pregnant women is close to the number of children born
(2.2-3.2% of population)
Suggested
level of use
National, state, district/ block and sub-centre
Other Useful • Risk and continuity indicators are important in ANC
Indicator Manual
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Indicators • VDRL (syphilis) and HIV testing coverage shows quality of care. This should be done in first ANC visit
• Haemoglobin testing and anaemia management rates
• ANC referrals shows risk detection (and transport
availability).
• % women getting third ANC shows continuity of care,
which is often related to perceived quality.
Common
Problems
• Attendance for pregnancy test or simple registration
without history and examination do NOT constitute
antenatal care.
• Women who have started ANC elsewhere, but who
come to your facility for follow up should be counted as
follow up ANC and not first ANC
Actions to
Consider
Low coverage means either the strategy for providing
ANC needs to be reviewed to increase access, or the
community should be approached to increase
awareness through ASHA,VHSC,BCC etc
Indicator MH 2: ANC third visit coverage rate
Definition Percentage of women who used antenatal care
provided by skilled health personnel for reasons related to
pregnancy at least 3 times during pregnancy
Numerator ANC third visit
Denominator A. Expected pregnancies B. ANC any visit
Rationale • Antenatal care third coverage is an indicator of continuity and use of health care during pregnancy
and also of access
• Poor quality ANC could also be a reason that women
come once and then stop
Data Source ANC Register maintained by health workers
Other Useful
Indicators
• Drop-out rate first to third ANC
• Comparison of third ANC to delivery rates
• %ANC with full blood tests (Hb, HIV, VDRL)
Suggested
level of use
State, District, Block and sub-centre
Common
Problems
• When ANC has been done in different facilities
• High coverage may mean problems with your choice
of denominator, or double counting
Actions to
Consider
• Low coverage means either the strategy for providing
ANC needs to be reviewed to increase access, or the
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community should be approached to increase
awareness through ASHA,VHSC,BCC
• Improved quality of care in earlier visits
• Ensure that first ANC are not done through sporadic
camps or MMU approaches
Indicator MH 3:
a. % ANC TT-1 coverage rate
b. % ANC TT2 and TT booster coverage rate
c. ANC 100 IFA coverage rate
Definition Percentage of pregnant women who used antenatal
care and were given TT1,TT2 or TT booster vaccine
Numerator A Antenatal care given TT-1
B. Antenatal care given TT2 or TT booster
C. Antenatal care given 100 IFA Tablets
Denominator Total ANC registered (ANC first visit)
Rationale • Antenatal care 100 IFA coverage is an indicator of
quality of ANC
• Antenatal care TT-1, TT-2 / Booster coverage is an
indicator of quality of ANC
• It is also an indicator for availability of the basic
immunisation of ANC
• All pregnant women are recommended 100 IFA Tablets
• Woman in her First pregnancy needs TWO TT
immunisations; subsequent pregnancies she needs only
a booster
Data Source Registers maintained by health workers; Household
surveys
Other Useful
Indicators
• TT protected at birth rate measures % of newborns
protected from tetanus by their mother being fully
immunised for TT
• Neonatal Tetanus rate measures cases of Neonatal
tetanus- a failure of our ANC TT immunisation program
• Anaemia rate
Suggested
level of use
State, District, Block, sub centre
Common
Problems
• IFA tablets given may not be consumed
Actions to
Consider
• Addresses supply side issues • Ensure quality of ANC
Staff not focused on task of persuading mother /family
Collection of data from ASHAs could be a problem if
ASHA
programme is not designed to deliver this.
Actions to
Consider
Formative research to understand the issue and design
BCC programmes to promote immediate breastfeeding
Ensure registers re modified to include immediate
breastfeeding
Include in support protocols for home based care givers
like ASHAs
Indicator CH 2: Neonatal referral rate
Definition
Percentage of neonates (upto 28days old) with complications
referred for
institutional care
Numerator
Neonates seen in a PHC or CHC or higher facility because it is sick
or low birth
weight or has a complication- whether it was referred from the
home, or
presented on its own in the institution, or whether it was diagnosed
in the
institution.
Denominato
r Live births( as recorded)
Rationale
This data should be collected by institutions to identify the
proportion of
neonates with complications referred for specialised care
Data Source Neonatal registers at institutions
Other Useful
Indicators
•% of newborn referrals against estimated live births – this needs no
new data element- and is most useful where private sector is also
reporting.
• % of low birth weights and severe low birth weight
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• % Newborn referrals successfully treated( if appropriate data
element is added)
Suggested
level
District
of use
Common • The number of families advised a referral is NOT being taken as it
is difficult to estimate how seriously referral advice was taken up by
Problems
family. Therefore only those referral that were received by
institution are measured, even
if some are self-referred.
• Referrals to Private hospitals will not be picked up and this may
account for the majority
• No specific place of recording
in facility registers
• Skills to detect a sick new born lacking amongst health workers
and
hence both referral from below and identification in the
institution could
be poor.
Best calculated with at least
3000 births.
Actions to • If rate is low find out whether it is due to lack of newborn visits
and newborn referrals or due to poor transport or due to poor care
and credibility at the facility. To Build up credibility and quality of
care giving institutions
Consider
• Ensure private sector also
reports
Indicator CH 3: Sex ratio at birth
Definition Number of females born per 1000 males born in a give time period
Numerator Live Births females x 1000
Denominat
or Live Births males
Rationale
Declining sex ratio is an important public health concerns and sex
ratio at births
is one of most precise indicators of this. Note that the usual sex ratio
at birth where there is no active discrimination is about 950 females
per 1000 males( this is due to a slightly greater loss of male fetuses).
Deleted: .
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Due to a slightly greater mortality of male children in next five
years, it becomes an equal or female preponderant ratio for sex
ratio in the 0 to 6 age group. However with optimum care these
slightly increased loss before and after birth may decline. Therefore
figures in this 950 range need to be interpreted with caution. Below
this figure there a gender discrimination factor becomes likely.
Data
Source
Line listing of births maintained by health workers; delivery registers
Other Useful • Sex ratio in 0-5 age group
Indicators
• Sex ratio in population
Suggested
level National and below, particularly district as there is no other source
of data at district level.
of use
Calculate only when you have at least 3,000 births, otherwise
fluctuations will
be too high.
Common • Completeness of birth reporting is an issue
Problems
Actions to • Strengthen implementation of PNDT act
Consider
• Social mobilisation to combat “son preference”
Indicator CH 3A: Recorded Birth rate
Definition • Live births per 1000 population
Numerator:
• All recorded live births in that facility’s service
area/block/district in the last 12 months
Denominator: • Population of that facility’s service area/ block/district
Rationale
• This is the crude indicator of fertility in that population. Also by
comparing the recorded birth rate with the estimated birth rate
or external survey based birth rates one can arrive at a picture
of how many children in that area are being missed out and
this is useful to keep in mind while reading and interpreting all
other child health indicators.
Data Source •
Birth and death register
Maternity registers of Sub-Centres, PHC and CHCs.
• Household surveys
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Other useful • Total fertility rate
indicators •
Normal
Ranges
•
The states birth rate is available from the SRS. The goal is to
reach a birth rate of less than 21 per 1000 population.
Normally it should be 100%
Common
•
Many births that take place in private sector or at home get
missed. Since much of the reporting could be based on
hearsay- there is loss of accuracy. There could be double
counting
Problems
The indicator is an estimate. For many reasons the
denominator could be wrong or the birth rate could be
more or less that expected.
The numerator should be for a full year. This means adding
the livebirths of the last 12 months- and then plotting this
indicator on a graph so as to see trends. Monthly use of this
indicator has little role. Also take a unit which has more than
3000 births in that period ( a number of areas taken
together, or a number of months taken together ) to be able
to cast a meaningful indicator.
•
If the indicator is low, check whether all births are being
recorded or some areas are getting missed out/ poor quality
of recording or whether it is because there has been a
change in the denominator or due to declining fertility.
Actions to •
If indicator is higher than expected and sustained it may be
a major movement of the population in or increase of fertility
rates
consider •
•
Indicator CH 4: Low birth weight rate
Definition
• Percentage of live born infants with a Birth weight under
2,500 grams
Numerator: • Live births with a birth weight < 2500g.
Denominator: • Live births weighed
Rationale
• At the population level, the low birth weight (LBW) rate is an
indicator
of a multifaceted public-health problem that includes long-
term
maternal malnutrition, ill health, hard work and poor health
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care in
pregnancy.
• On an individual basis, low birth weight is an important
predictor of
newborn health and survival
• Live babies with weight of <2,500 grams indicate poor
nutritional
status of mothers or maternal illness, but may be influenced
by other
factors such as smoking, alcohol abuse, other illness such as
TB, HIV
or chronic lung or heart disease.
Data Source • Maternity registers of Sub-Centres, PHC and CHCs.
• Household surveys
Other useful •
% children weighed- the denominator would be recorded
live births.
indicators •
% live births with severe LBW- that is a weight below 1.8 kg
and below 1.6 kg. Below 1.6 kg hosipitalisation is mandatory
and even below 1.8 it is desirable. Children between 1.8 kg
and 2.5 kg can be managed at home if there is no other
complication.
Normal
Ranges
•
Less than 10% of all birth should be under 2,500 grams,
though many
states have up to 30% LBW
Common •
Many children are not weighed at birth, particularly those
delivered at
Problems
home. If the child is weighed after 24 hours, there is normally
some further weight loss which picks up again at about a
week and then steadily increases. Hence the insistence on
taking only the first days’ weighing as accurate.
• Many health facilities do not have accurate scales (10gm
accuracy
needed) and health staff often do not use existing scales
well, resulting
in further errors.
When percentage of births which have been weighed is
low, or live births recorded is a small part of expected live
births, this indicator has to be used with caution as it is the
most vulnerable section that tends to get left out of
coverage
Efforts to increase percentage of children weighed- by
Indicator Manual
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studying who is getting missed out and why.
• Improved quality of ANC
Actions to •
BCC regarding nutrition, smoking and drinking during
pregnancy
consider • Attention to adolescent anaemia and malnutrition
• Assistance to secure food entitlements during maternity
Improve institutional new born care and referral
arrangement where severe low birth weight is high
Indicator CH 5: Neonatal mortality rate
Definition
Neonatal mortality rate (NNMR) measures the number of live-born
babies
dying within 28 completed days of life per 1,000 live births.
Numerator Deaths in first 28 days
Denominat
or 1000 live births
Rationale
Neonatal mortality (particularly early mortality) is affected by
quality of care
for the neonate. This is a significant proportion of IMR
Direct Causes are asphyxia , sepsis, hypothermia and neonatal
tetanus. Indirect
causes are low birth weight, prematurity, birth injuries and
congenital anomalies
Data
Source
Line listing in the birth and death register and Institutional records
Registrar of births and deaths- compulsory registration system,
Household surveys
Other Useful • NNMR can be divided into early (0-7 days) and late (8-28 days).
This information is potentially available in the line list- but currently
not being aggregated.
Indicators
• NNMR can be disaggregated by gender
Suggested
level State and district. Calculate only when you have at least 3,000
births, otherwise
of use
fluctuations will be too high.If we are plotting the monthly trend
that either it is for a large area or we are taking the cumulative
total of a a number of months or even a year.
Common
Problems
• Underreporting and misclassifications ( as still births )are
common, particularly for deaths. Cultural reluctance to reporting
early neonatal deaths- which only good training and supervision
Indicator Manual
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and community dialogue can overcomes
occurring early in life (particularly first hour).
Actions to • Staff training and health facility equipment for a functional
newborn care
Consider
unit
• Appropriate home based neonatal health care providers to be
trained
Indicator CH 6: Infant Mortality rate
Definition
Infant Mortality rate (IMR) measures the number of deaths of
infants under
one year of age per 1,000 live births
Numerator
Deaths infants less than one year old (Neonatal death plus
deaths in 1-12 months)
Denominat
or 1,000 Live births
Rationale
This MDG indicator is a good measure of the socio-economic,
nutritional
and environmental health status of a given population.
Common causes of death after the neonatal period are
diarrhoea, acute respiratory infection, malaria,
malnutrition, vaccine preventable
diseases, especially measles
A significant proportion of the IMR is related to neonatal care
Infant deaths should be reported monthly and IMR calculated
semi-
annually. One needs to ensure that in this period of calculation there has been at least 3000 live births in that area.At a local level – block or lower- this information is actionable even without making it into an indicator.
Data Source
Routine: Line listing of deaths; Institutional records
Others: Registrar of births and deaths, Population-based surveys, especially Sample Registration Surveys
Other Useful
Indicators
• IMR by gender gives insight into poor care for the female child and
Indicator Manual
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female infanticide
• Perinatal and neonatal death rates measure quality of care
at birth
• Disease specific death rates due to diarrhoea, malaria, ARI
etc provide clues for immediate action
• IMR can be disaggregated by social class, residence,
income etc
• Underweight rate under one year measures nutritional status.
This acts as a risk factor, increasing the likelihood of death from
any of the above causes. Suggested level of
National, state and district. Below
district even the data element by
itself provides actionable
information.
use
Common
Problems
• IMR from routine data can be inaccurate because of
unreported deaths
occurring in the home, particularly amongst poor and
disadvantaged
communities not reached by health services. Cultural reluctance to report neonatal deaths.
• Tendency to underreport due to threat of reprimand from
above
Deaths before the first birthday are all included in this.
Actions to
Consider
• Improved notification through line listing by health workers,
• Community notification of deaths- to VHSCs, PRIs, NGOs etc - a form of community monitoring to uncover unreported deaths.
• Ensure that truthful reporting of higher deaths that expected is not met with reprimands but with assistance.
Indicator CH 7: Under 5 mortality rate
Definition Under-five mortality rate measures the number of children who
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die before their
fifth birthday per 1000 children under five years
Numerator Deaths Neonatal + Deaths infant + Deaths 1-5 years
Denominator 1,000 children under five years
Rationale
Under-five mortality rate is a general indicator of the level of
child health,
It measures more the socio-economic, environmental and
nutrition status of
children, rather than direct health care delivery.
Data Source Line listing of deaths at Sub Centre; Institutional records
Vital registration- registrar of births and deaths; Population census; Population-based surveys, such as DHS.
Other Useful • U5MR can be disaggregated by gender, social class,
residence, income etc
Indicators • See infant mortality rate indicators
Suggested
level of National and below. Calculate only when you have at least
3,000 births,
use
otherwise fluctuations will be too
high.
Common
Problems
• Poor reporting of child deaths, particularly in hard-to-reach
and poor
communities
Actions to
Consider
• Improved notification through line listing by health workers,
• Community notification of
deaths- improve recording of
unreported deaths and increases
community action to prevent
deaths
•
Improved quality of care for children through health workers
at home
Definition Peri-natal deaths comprise still births (gestation over 228 weeks / >1000 grams
weight) plus early neonatal deaths (infants dying within 7 days). Numerator Deaths Peri-natal (still births plus early neonatal in first week)
Denomin
at 1000 live Births.
Indicator Manual
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or
Rationale
PNMR directly reflects maternal health, quality of prenatal, intra-
partum and
neonatal care
Peri-natal deaths comprise up to 40% of infant deaths and their
reduction is the
most important way health services contribute to reducing IMR. PNMR
gives an
indication of the quality of maternal and child health services.
This indicator includes still births, which are as numerous as first week
deaths. Any pregnancy outcome other than a live birth after the
pregnancy has achieved 28 weeks would get included in this. The
criteria of weight above 1000 gms may have to be ignored if weight
of the still-birth/aborted fetus is not available.
All peri-natal deaths should be audited according to national
guidelines to identify
preventable deaths and improve neonatal care.
Data Registers from Delivery and neonatal wards; Line listing by ANMs; Vital
Source registration; Population census; Population-based surveys, such as DHS.
Still birth rate- this is what can be calculated from the current data
elements available. Still birth estimation has a reciprocal relationship
with both abortion at one end and neonatal mortality at the other.
For calculating perinatal mortality rate as defined above-one needs
to be collecting neonatal deaths in the first week as distinct from any
neonatal death. However this information is potentially available in
the line list.
Abortion rates- this also closely correlates with the above rates.
Abortion data elements have to be crossed with the pregnancy
tracking to ensure that stillbirths are not misclassified as abortions
which at around 28 weeks could be a problem.
Other A perinatal audit can provide useful additional information on quality
of care
Useful
PNMR at different type and level of Institutions, public and private Indicator
s
PNMR by type of birth assistant (SBA, Non-SBA)
PNMR by gender
Compare with NNMR Suggested
level of National and below. Calculate and make predictive trend analysis only when you
Indicator Manual
25
use
have at least 3,000 births, otherwise fluctuations will be too high.
Common Comparisons between different rates may be hampered by varying definitions,
Problems
registration bias, and differences in the underlying risks of the
populations.
Reporting of still births is also problematic Actions to Institutions with high PNMR need additional support to identify the
causes of the
Consider
deaths, and will normally need training on neonatal care techniques.
By comparing PNMR with other rates, one can arrive at conclusions
about which
areas of child care require prioritisation. 2 Some authorities state 22 weeks or 500 grams but in India neonates of this age are not viable, Other authorities use 32 weeks: hence 28 weeks or start of 3rd
trimester is taken as cut-off.
Indicator Manual
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IMMUNISATION INDICATORS
Indicator CH IMM 1: Vaccine Specific Immunisation coverage under one year A BCG B OPV (1,2,3) C DPT (1,2,3) D Measles E Hep B (1,2,3) where used
Definition Vaccine specific immunisation coverage is the percentage of children under a year who
have received particular doses of a specific vaccine
Numerator
Children under 12 months( which is same as saying children 0 to 11
months old) given the specific vaccines
BCG,
OPV, (1,2,3)
DPT,(1,2,3)
Measles,
Hep B (1,2,3) where used
Denominator
a. Total recorded live births : b. Expected number of children under 12 months, based on mid
year estimates.
Rationale
Vaccine specific Immunisation coverage rates are used to monitor
immunisation services,
to guide disease eradication and elimination efforts,
They are an indicator of health system performance.
Measles immunisation coverage is a national and MDG indicator
used as a proxy for full
immunisation coverage.
Data Source
Immunisation registers kept by health workers; Immunisation
coverage cluster surveys;
other household surveys
Normal
range
National target is 100%; states and districts need to set their own
targets
Other Useful Full immunisation coverage
Indicators
Immunisation drop-out rates
Incidence of vaccine preventable diseases
Vaccine utilisation rates
Vaccine availability rates
Indicator Manual
27
Cold Chain function indicators Suggested level
National for Measles; State and district for others
of use
Common No vaccinations given to children over one year should be included in this
Problems Indicator.
Actions to Low immunisation coverage needs urgent action by health services
and
Consider
communities. It may indicate poor planning, supply side problems
e.g. out of
stock or need for vaccine transport
Improve local planning and community involvement
Rates over 100% mean denominator problems or double counting
Indicator CH IMM2: Full Immunisation coverage
Definition
Full Immunisation coverage is the percentage of one-year-old
children who have received
all required vaccines.
Numerator
Number of children 9 to 12 months who completed their
immunisation schedule (BCG, OPV3 and DPT3 and measles) in the
past year
Number of children 12 to 23 months who had already complete immunization or completed their immunization schedule during the past year
Denominator
Expected number of 0 to 12 months children based on mid year estimates. Actual number of 0 to 12 months children based on live births during this year Expected number of 12 to 23 months children based on mid-year estimates Actual number of 12 to 23 months children based on household survey done at year beginning.
Rationale
Full Immunisation coverage is the “pinnacle” indicator for
immunisation coverage and
means that the child should be fully protected against the six
vaccine preventable
diseases, and is a valuable way to reduce
infant mortality.
Data Source
Immunisation registers kept by health workers ;
There needs to be a separate column in this
register where the age of child in months when
given the last immunization needed for full
Indicator Manual
28
immunization status is recorded
EPI cluster surveys; Other household surveys
Other Useful • Full immunisation coverage by gender – male and female
Indicators
•
Vaccine-specific vaccination coverage
rates
• Full immunisation coverage rates from cluster
surveys
• Vaccine preventable disease incidence rates
• Vaccine utilisation and availability rates
• Cold chain function indicators Suggested level
National, State, District, Block
of use
Common • This data is hard to keep accurately routinely with current tools
Problems
• Routine data should be cross-checked by EPI cluster surveys (see
WHO mid level
manager cluster survey manual) and other household surveys such as DHS. Surveys usually use a 12 to 23 month denominator.
Actions to • Children need an immunisation card to track that all doses have been given. The register also needs provision for child tracking.
Consider
• Vaccine register should show children who completed
immunisation
schedule in a separate column
• by comparing full and individual immunisation coverage, catch
up
campaigns to be instituted to provide individual vaccines in specific areas
Under RIMS, three kinds of reaction are identified – Abscess,
Deaths and
Others e.g. allergy, anaphylaxis, hypotensive /hypo responsive
episodes, BCG
lymphadenitis, etc
Data Source
Immunisation registers, facility data collection forms, IDSP death
reports
Other Useful • Drop out rates show perceived quality by the mother Suggested level
State and below
of use
Common • Non-reporting;
Problems
• “Others” is a large category
• Death of the child upto 6 days after the immunization is to
be reported- unless it is due to accident. Many of these
deaths may have other causes- but that is to be validated
by medical officers separately – these deaths are only
presumptively vaccine related- the point is to have a high
index of suspicion so as not to miss cases.
• Delayed reactions are difficult to collect
Actions to
•
Investigate all adverse reactions to identify the cause and
advise peripheral workers to take appropriate action for
abscesses and other complications. Check on supply .For
deaths it needs to be reported to state and national level and
separate report filed with vaccine batch details etc.
Consider
Indicator CH IMM 4: % of planned immunisation sessions held
Definition Percentage of total planned immunisation sessions held
Indicator Manual
30
Numerator Number of immunisation sessions held
Denominator Total number of immunisation sessions planned
Rationale
For a given population with a known number of health
facilities and staff and outreach points( eg anganwadi
centers)
the number of immunisation sessions to cover the population
is pre-
determined. It is important to see what percentage of this
needed
coverage is achieved.
Immunisation needs careful planning and this indicator
measures
implementation of the plan. Poor planning leads to poor
implementation
of immunisation
Lack of transport is a common reason for cancellation of
sessions; Non availability of the ANM due to sickness or other personal causes, lack of vaccine supplies etc are also other causes. Need to ensure adequate transport for vaccines and transport for the ANM where this is the constraint.
Data Source
Registers maintained by health workers and health facilities
Denominator from district immunisation office Suggested level of
District, Block
use
Common • Reliability of reporting of immunisation sessions held is low because
Problems
worker is directly accountable for the failure.
• Detailed micro planning exercise often not carried out. The
number of sessions planned itself may be faulty.
Actions to • Strengthen planning process and implementation through improved
Consider
supervision
• Involve communities in planning of immunisations at sites
and time
convenient to them and reporting sessions NOT held Indicator CH IMM 5: Vitamin A coverage rate Definition Percentage of children who have received all required vitamin A
Indicator Manual
31
doses. (One
dose for a child under one and five doses for a child under three years)
Numerator
Children who received Vitamin A
A) 1 dose under one year
B) 5 doses under three years
C) 9 doses under 5 years
Denominator Expected number of children based on mid year estimates.
Rationale
• Vitamin A supplements given between six and 72 months is
stated to reduce
mortality by 23%, where vitamin A deficiency exists.
• Vitamin A supplements as part of measles case management
can reduce the case
fatality rate by more than 50%.
Data Source
Immunisation register and Reports of Vitamin A by service
providers
Other Useful • Measles case fatality rates
Indicators
• Vaccine-specific coverage rates to compare to vitamin A
coverage rates Suggested level
State and District
of use
Common • Difficult to report multiple doses at different ages
Problems
No age estimates of 3 year old children available
Unless children have a vitamin A/immunization tracking card which goes upto 5 years- it would be difficult to estimate who has achieved the 5th, dose, 9th dose etc. It is not advised to make bulky registers that list all children upto 5 years and track them all along for each dose.
Actions to • Identify areas with low coverage and ensure supplies and promotion
Consider
Activity. Indicator CH IMM 6: Immunisation drop out rate
Definition
Comparison of the number of children who start receiving
immunisation and
the number who do not receive later doses for full immunisation
Numerator Number of children starting particular dose of antigen MINUS
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number of
children receiving later dose of antigen
Denominator Number of children starting particular dose of antigen
Rationale
This is an indicator of quality of immunisation services and allows
a view of the
trends in coverage for specific vaccines. Useful drop out rates
are
A) BCG to DPT3
B) BCG to Measles
C) DPT1 to DPT3
D) DPT1 to Measles
This is a cohort sample and periodicity should be (semi) annual,
rather than
monthly
Data Source
Facility routine data collection forms; Immunisation Registers;
Other Useful • Vaccine specific and full immunisation coverage rates
Indicators •Vaccine availability
• Vaccine preventable disease incidence
Suggested State and district
level of use
Common • A high drop out rate means that mothers have no faith in the immunisation
Problems
• A negative drop out rate can occur if there is a stock out of
the “early”
vaccines and good supply of the late vaccine
Actions to • Ensure best possible quality of immunisation
Consider
• Ensure child tracking with immunisation card
• BCC to mothers on importance of finishing immunisation
course
•Ensure constant availability of vaccine
FAMILY PLANNING INDICATORS
Indicator FP1: Couple Year Protection Rate
Definition Percentage of eligible couples in the community protected by
"modern" family planning methods for one year .
Numerator: Number of couples protected by each family planning method
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which is approximated by a formula:: number of cases sterilised in particular month*10+number of pills distributed/13 + number of IUDs inserted*5.5+ no of condom pieces distributed/100
Denominator Number of eligible couples (with fertile age women 15-49 years). The number of eligible couples are approximate 17% of total population. Actually recorded eligible couples is what is used as denominator but this may be compared with estimated couples in the population,
Rationale Each family planning method is effective for different periods - this
is a calculated indicator which measures the contribution of each
method to protection of eligible couples in the community.
Data Source The easiest way to calculate this is from the stock cards and from sterilisation record. Note the total outgoing contraceptives for each type and divide or multiply by the appropriate factor:
Low coverage means that unwanted pregnancies will occur. Increased CYP will occur mainly through health promotion and increases status of women, but will also be increased by:
• increasing availability of contraceptives to teenagers, working women and other high risk groups;
• improving the contraceptive mix to include more effective and longer- term contraceptives such as injectables, IUDs and sterilisations.
Other
Possible
Indicators
• This indicator is best annualised - i.e. the month’s value multiplied by 12 to get a picture of what would happen if this rate continued throughout the year.
• Termination of pregnancy rate is an indicator of failed contraception leading to unwanted pregnancies.
• Method mix is the relative proportion of total CYP provided by each method. It is best visualised as a pie diagram.
• Acceptor rate is number of couples reporting to be using any method as the numerator and total eligible couples as the denominator. a relatively low value indicator for contraceptive effectiveness as it does not measure protection of women, but merely attendance of women at the clinic for a particular service. It could however be used locally to ensure that all couples are reached and improve the programme. The family planning service delivery register and tracking register would help track this- and the figure “% of eligible couples not using any method but wanting to use” is the most important category.
• Contraceptive prevalence rate (MDG) is the CYP equivalent but needs a household survey to know it.
• Total fertility rate shows the impact of family planning . This is
Deleted: .
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got from NHFS and SRS data- but would only have state figures.
• Birth rates- • % of births which were third and above; % of second or further
births which had less than three years gap with earlier birth, % of births in women less than 19 years of age.( registers record the data elements needed- but this is not reported up currently)
Suggested
level of use
National
Common
problems
This is a complicated indicator, most easily calculated using a
computer
Actions to
consider
Indicator FP 2: Family Planning Coverage rate by method
Definition The coverage contribution of each contraceptive method to
the overall family planning program
Numerator Total number of units of each type of contraceptive
distributed
A) Oral Contraceptive cycles
B) Condoms
C) IUD insertion D) Centchroman (weekly) pills
E) Emergency Contraceptive pills
Denominator Eligible couples
Rationale The indicator provides a profile of the relative level of use of
different contraceptive methods. This also suggests that the
population has access to a range of different contraceptive
methods
Data Source Family Planning Registers maintained by health workers and
health facilities; Household surveys
Other Useful
Indicators
Method Mix
Suggested
level of use
District
Common
Problems
Exact number of OCPs or condoms distributed- are difficult to
estimate since these are usually given out by depot holders
and ANMs only know the stock refill they provide to the
depots. Also distribution does not mean use.
Actions to
Consider
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Indicator FP 3: Sterilisation rate
A Males
B Females
Definition Proportion of eligible couples sterilised
A) Males where the family size is 2 or more children and
the wife is under 49 and has not been sterilised
B) Females where the family size is 2 or more children and
the female is between 20 - 49 years and husband has
not been sterilised
Numerator Sterilisations performed this month plus already sterilised
eligible couples
A) Male
B) Female
Denominator Eligible couples
Rationale Sterilisation is a permanent method that contributes 12.5years
to CYP.
Male Sterilisation is indicative of male participation in family
planning and is usually held in camps
Data Source Registers and data collection forms maintained by health
workers and health facilities (including Camp)
Eligible couple registers
Other Useful
Indicators
• Male sterilisation by type –
o conventional and
o NSV
• Female Sterilisation by types
o Mini-laparotomy
o Conventional
o laparoscopic
• Sterilisation rate by place – CHC, hospital, camp, etc
• Sterilisation rate by provider – public/private etc.
• Post-partum sterilisation rates
• Total fertility rate
Suggested
level of use
National and below
Targets 20% of all sterilisations should be males
Common
Problems
Permanent sterilisation is the most commonly used method of
family planning
When used when family size is already large, it does not