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Metadata for Indicators to Monitor the Malaria Control Program Last updated on August 08, 2016 Republic of the Philippines Department of Health REGIONAL OFFICE XI

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Page 1: Metadata for Indicators to Monitor the Malaria Control Programro11.doh.gov.ph/dashboard/docs/Malaria Metadata_8Aug2016.pdf · List of Indicators of Malaria Control Program Indicator

Metadata for Indicators

to Monitor the Malaria

Control Program

Last updated on August 08, 2016

Republic of the Philippines

Department of Health

REGIONAL OFFICE XI

Page 2: Metadata for Indicators to Monitor the Malaria Control Programro11.doh.gov.ph/dashboard/docs/Malaria Metadata_8Aug2016.pdf · List of Indicators of Malaria Control Program Indicator

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List of Indicators of Malaria Control Program

Indicator

code Indicator M&E level

Health Workforce Capacity

MCP-001 Proportion of diagnostic facilities with health personnel

oriented on the revised 2015 malaria manual of operations

(MOP)

Input and

process

Vector Control

MCP-002 Proportion of indoor residual sprays that met the required

number of trained spray men

Input and

process

MCP-003 Proportion of indoor residual sprays that met the required

number of spray squad leaders

Input and

process

MCP-004 Proportion of indoor residual sprays that met the required

number of insecticide sachets

Input and

process

MCP-005 Proportion of indoor residual sprays that met the required

number of spray cans

Input and

process

MCP-006 Proportion of indoor residual sprays that met the required

number of personal protective equipment (PPE) sets

Input and

process

Malaria Diagnosis and Treatment

MCP-007 Proportion of diagnostic facilities without stock-outs of key

malaria commodities (RDT kits, laboratory supplies, and

antimalarial drugs)

Input and

process

Vector Control

MCP-008 Proportion of indoor residual sprays (IRS) conducted Output

MCP-009 Proportion of indoor residual sprays (IRS) that meet the

quality IRS requirements

Output

Malaria Diagnosis and Treatment

MCP-010 Proportion of provinces/cities have at least one diagnostic

facility participating in quality assurance system (QAS)

Output

Case Surveillance and Response System

MCP-011 Proportion of provinces/cities with vector mapping

completed/updated

Output

Vector Control

MCP-012 Proportion of population-at-risk potentially covered by long-

lasting insecticide nets (LLIN) distributed at a ratio of 1 net

per 2 persons

Outcome

MCP-013 Proportion of population-at-risk reporting having slept under a

long-lasting insecticide nets (LLIN) the previous night

Outcome

MCP-014 Proportion of households in targeted areas that received

quality-assured indoor residual spraying (IRS) during the

reporting period

Outcome

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Indicator

code Indicator M&E level

Malaria Diagnosis and Treatment

MCP-015 Proportion of suspected malaria cases that received a

parasitological test (microscopy or RDT)

Outcome

MCP-016 Proportion of parasitologically confirmed malaria cases that

received first-line antimalarial treatment according to national

guidelines

Outcome

MCP-017 Proportion of suspected malaria cases seeking diagnosis and

treatment within 48 hours of onset of symptoms

Outcome

Case Surveillance and Response System

MCP-018 Proportion of active breeding sites that were provided with

vector control intervention

Outcome

Morbidity

MCP-019 Malaria morbidity rate Impact

Risk Measure

MCP-020 Annual parasite incidence Impact

MCP-021 Number of municipalities or cities with annual parasite

incidence of ≥5.0 per 1000 population

Impact

MCP-022 Number of municipalities or cities with annual parasite

incidence of ≥1.0 to <5.0 per 1000 population

Impact

MCP-023 Number of municipalities or cities with annual parasite

incidence of ≥0.1 to <1.0 per 1000 population

Impact

MCP-024 Number of municipalities or cities with annual parasite

incidence of <0.1 per 1000 population

Impact

Mortality

MCP-025 Malaria mortality rate Impact

Transition/Movement of Provinces

MCP-026 Number of malaria-free provinces/municipalities/cities Impact

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Proportion of diagnostic facilities with health personnel oriented on the revised 2015

malaria manual of operations (MOP)

Indicator code MCP-001

Indicator name Proportion of diagnostic facilities with health personnel oriented

on the revised 2015 malaria manual of operations (MOP)

Abbreviated name Diagnostic facilities with health personnel oriented on the revised

malaria MOP

International name

Topic Health Workforce Capacity

M&E Framework Input and process

Rationale The National Malaria Control and Elimination Program has shifted

from control to elimination status. Thus, there is a need to orient

the health personnel on the updated procedures for the basic

interventions required to eliminate malaria.

Definition This refers to the proportion of diagnostic facilities with health

personnel oriented on the revised 2015 malaria MOP. For each

facility, all the following health personnel must receive the MOP

orientation:

1. BHS: midwife, barangay microscopist and RDT volunteer (if

available)

2. RHU: municipal or city health officer, malaria coordinator and

medical technologist

3. Public hospital: chief of hospitals or clinics and at least 1

medical technologist

Data type Percentage

Unit of measurement

Numerator Number of diagnostic facilities with health personnel oriented on

the revised 2015 malaria MOP

Denominator Total number of diagnostic facilities

Disaggregation By municipality/city, province

Data source Training Completion Report

Frequency of collection Quarterly

Limitations/ Comments

Links and references 1. National Strategic Plan for Malaria Control and Elimination

Program 2014-2020

(https://www.dropbox.com/s/i2irjn3nb563bl1/National%20Str

ategic%20Plan%20for%20Control%20and%20%20Elimination

%20of%20Malaria%20in%20the%20Philippines%2C%202014

-20.pdf?dl=0)

2. Philippine National Malaria Monitoring, Evaluation, and

Monitoring Plan 2014-2020

(https://www.dropbox.com/s/cj37alvrok0xqua/Philippine%20

National%20Malaria%20Monitoring%2C%20Evaluation%2C%2

0and%20Monitoring%20Plan%202014-2020.pdf?dl=0)

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Proportion of indoor residual sprays that met the required number of trained spray

men

Indicator code MCP-002

Indicator name Proportion of indoor residual sprays that met the required number

of trained spray men

Abbreviated name

International name

Topic Vector Control

M&E Framework Input and process

Rationale This indicator will provide information on readiness to conduct a

quality IRS as a vector control measure in stable and unstable

transmission areas and during outbreaks or epidemics.

Definition This indicator refers to the proportion of indoor residual sprays

that met the required number of trained spray men.

Spray man must be trained within 3 months prior to scheduled

indoor residual spray, with ratio of 1 trained spray man per 8

households

Data type Percentage

Unit of measurement

Numerator Number of indoor residual sprays that met the required number of

trained spray men

Denominator Total number of indoor residual sprays conducted

Disaggregation By barangay, municipality/city, province

Data source Numerator: Malaria Program Coordinator using the Malaria

Training Completion Report

Denominator: Indoor Residual Spray reports from LGUs

Frequency of collection Quarterly

Limitations/ Comments Spraying checklist/tool to be developed and to be accomplished

prior to spray.

Links and references

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Proportion of indoor residual sprays that met the required number of spray squad

leaders

Indicator code MCP-003

Indicator name Proportion of indoor residual sprays that met the required number

of spray squad leaders

Abbreviated name

International name

Topic Vector Control

M&E Framework Input and process

Rationale This indicator will provide information on readiness to conduct a

quality IRS as a vector control measure in stable and unstable

transmission areas and during outbreaks or epidemics.

Definition This indicator refers to the proportion of indoor residual sprays

that met the required number of spray squad leaders.

There must be one (1) squad leader (or spray supervisor) for every

3-4 trained spray men.

Data type Percentage

Unit of measurement

Numerator Number of indoor residual sprays that met the required number of

spray squad leaders.

Denominator Total number of indoor residual sprays conducted

Disaggregation By barangay, municipality/city, province

Data source Numerator: Malaria Program Coordinator using the Malaria

Training Completion Report

Denominator: Indoor Residual Spray reports from LGUs

Frequency of collection Quarterly

Limitations/ Comments Spraying checklist/tool to be developed and to be accomplished

prior to spray.

Links and references

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Proportion of indoor residual sprays that met the required number of insecticide

sachets

Indicator code MCP-004

Indicator name Proportion of indoor residual sprays that met the required number

of insecticide sachets

Abbreviated name

International name

Topic Vector Control

M&E Framework Input and process

Rationale This indicator will provide information on readiness to conduct a

quality IRS as a vector control measure in stable and unstable

transmission areas and during outbreaks or epidemics.

Definition This indicator refers to the proportion of indoor residual sprays

that met the required number of insecticide sachets.

There must be one (1) insecticide sachet for every household.

Data type Percentage

Unit of measurement

Numerator Number of indoor residual sprays that met the required number of

insecticide sachets.

Denominator Total number of indoor residual sprays conducted

Disaggregation By barangay, municipality/city, province

Data source Numerator: Malaria Program Coordinator using the Malaria

Training Completion Report

Denominator: Indoor Residual Spray reports from LGUs

Frequency of collection Quarterly

Limitations/ Comments Spraying checklist/tool to be developed and to be accomplished

prior to spray.

Links and references

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Proportion of indoor residual sprays that met the required number of spray cans

Indicator code MCP-005

Indicator name Proportion of indoor residual sprays that met the required number

of spray cans

Abbreviated name

International name

Topic Vector Control

M&E Framework Input and process

Rationale This indicator will provide information on readiness to conduct a

quality IRS as a vector control measure in stable and unstable

transmission areas and during outbreaks or epidemics.

Definition This indicator refers to the proportion of indoor residual sprays

that met the required number of spray cans.

There must be one (1) spray can for every spray man.

Data type Percentage

Unit of measurement

Numerator Number of indoor residual sprays that met the required number of

spray cans.

Denominator Total number of indoor residual sprays conducted

Disaggregation By barangay, municipality/city, province

Data source Numerator: Malaria Program Coordinator using the Malaria

Training Completion Report

Denominator: Indoor Residual Spray reports from LGUs

Frequency of collection Quarterly

Limitations/ Comments Spraying checklist/tool to be developed and to be accomplished

prior to spray.

Links and references

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Proportion of indoor residual sprays that met the required number of personal

protective equipment (PPE) sets

Indicator code MCP-006

Indicator name Proportion of indoor residual sprays that met the required number

of personal protective equipment (PPE) sets

Abbreviated name

International name

Topic Vector Control

M&E Framework Input and process

Rationale This indicator will provide information on readiness to conduct a

quality IRS as a vector control measure in stable and unstable

transmission areas and during outbreaks or epidemics.

Definition This indicator refers to the proportion of indoor residual sprays

that met the required number of PPE sets.

There must be:

1. One (1) spray mask per spray man per spray day

2. One (1) set of PPE per spray man (hard hat, gloves, over-all and

boots)

Data type Percentage

Unit of measurement

Numerator Number of indoor residual sprays that met the required number of

PPE sets

Denominator Total number of indoor residual sprays conducted

Disaggregation By province, municipality, city and barangay

Data source Numerator: Malaria Program Coordinator using the Malaria

Training Completion Report

Denominator: Indoor Residual Spray reports from LGUs

Frequency of collection Quarterly

Limitations/ Comments Spraying checklist/tool to be developed and to be accomplished

prior to spray

Links and references

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Proportion of diagnostic facilities without stock-outs of key commodities (RDT kits,

laboratory supplies, and antimalarial drugs)

Indicator code MCP-007

Indicator name Proportion of diagnostic facilities without stock-outs of key malaria

commodities (RDT kits, laboratory supplies, and antimalarial

drugs)

Abbreviated name Stock-outs of malaria commodities

International name

Topic Malaria Diagnosis and Treatment

M&E Framework Input and process

Rationale To prevent stock-outs and ensure continuous availability of

commodities, systems of logistics management must be

functional for forecasting, procurement and allocation of malaria

commodities.

Definition This refers to the proportion of diagnostic facilities without stock-

outs of any of the key malaria commodities for more than 1 week

duration during the reporting period. These commodities include:

1. Malaria rapid diagnostic test (RDT) kit

2. Laboratory supplies: cotton, alcohol, glass slides, blood lancet

3. Antimalarial drugs: artemether lumefantrine, primaquine,

phosphate, quinine sulphate, and doxycycline.

Data type Percentage

Unit of measurement

Numerator Number of diagnostic facilities without stock-outs of any of the key

malaria commodities (RDT kits, laboratory supplies, and

antimalarial drugs) for more than 1 week duration during the

reporting period

Denominator Total number of government health facilities providing malaria

services

Disaggregation By commodity type

By facility type (hospital, RHU and BHS)

By municipality/city, province

Data source PhilMIS (Philippine Malaria Information System) reports

Frequency of collection Quarterly

Limitations/ Comments

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Links and references 1. National Strategic Plan for Malaria Control and Elimination

Program 2014-2020

(https://www.dropbox.com/s/i2irjn3nb563bl1/National%20Str

ategic%20Plan%20for%20Control%20and%20%20Elimination

%20of%20Malaria%20in%20the%20Philippines%2C%202014

-20.pdf?dl=0)

2. Philippine National Malaria Monitoring, Evaluation, and

Monitoring Plan 2014-2020

(https://www.dropbox.com/s/cj37alvrok0xqua/Philippine%20

National%20Malaria%20Monitoring%2C%20Evaluation%2C%2

0and%20Monitoring%20Plan%202014-2020.pdf?dl=0)

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Proportion of indoor residual sprays (IRS) conducted

Indicator code MCP-008

Indicator name Proportion of indoor residual sprays (IRS) conducted

Abbreviated name

International name

Topic Vector Control

M&E Framework Output

Rationale This indicator will provide information on conduct of IRS as a

vector control measure in stable and unstable transmission areas

and during outbreaks or epidemics.

Definition This indicator refers to the proportion of planned IRS that were

conducted.

Data type Percentage

Unit of measurement

Numerator Number of indoor residual sprays conducted

Denominator Total number of indoor residual sprays planned

Disaggregation By province, municipality, city and barangay

Data source Indoor Residual Spray plans and reports from LGUs

Frequency of collection Quarterly

Limitations/ Comments

Links and references

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Proportion of indoor residual sprays (IRS) that met the IRS quality requirements

Indicator code MCP-009

Indicator name Proportion of indoor residual sprays (IRS) that meet the quality IRS

requirements

Abbreviated name

International name

Topic Vector Control

M&E Framework Output

Rationale This indicator will provide information on readiness to provide

quality IRS as a vector control measure in stable and unstable

transmission areas and during outbreaks or epidemics.

Definition This indicator refers to the proportion of IRS that met all the

quality requirements, as follows:

1. Spray man trained within 3 months prior to scheduled indoor

residual spray, with ratio of 1 trained spray man per 8 households

2. One (1) squad leader (or spray supervisor) for every 3-4 trained

spray men

3. One (1) sachet of insecticide per spray load, with ratio of 1

sachet per household

4. One (1) spray can per spray man

5. One (1) spray mask per spray man per spray day

6. One (1) set of personal protective equipment per spray man

(hard hat, gloves, over-all and boots)

Data type Percentage

Unit of measurement

Numerator Number of indoor residual sprays that met all the quality IRS

requirements

Denominator Total number of indoor residual sprays conducted

Disaggregation By barangay, municipality/city, province

Data source Numerator: Malaria Program Coordinator using the Malaria

Training Completion Report

Denominator: Indoor Residual Spray reports from LGUs

Frequency of collection Quarterly

Limitations/ Comments Spraying checklist/tool to be developed and to be accomplished

prior to spray.

Links and references

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Proportion of provinces/cities have at least one diagnostic facility participating in

quality assurance system (QAS)

Indicator code MCP-010

Indicator name Proportion of provinces/cities have at least one diagnostic facility

participating in quality assurance system (QAS)

Abbreviated name Provinces/cities with a diagnostic facility participating in QAS

International name

Topic Malaria Diagnosis and Treatment

M&E Framework Output

Rationale Quality diagnostic services and the management and treatment of

malaria cases are core to the effective elimination of the disease.

Given the limited number of medical technologists among service

providers and validators, facilities providing malaria diagnostic

and treatment services should be subjected to QAS procedures to

ensure quality of services and adherence to DOH standards.

Definition This refers to the proportion of provinces/cities have at least one

diagnostic facility participating in quality assurance system (QAS).

A facility is said to be participating if they have the required

trained staff, equipment and laboratory supplies, are regularly

submitting blood smears for malaria parasites to and receive

feedback from the interregional collaborating center for malaria

and other vector-borne diseases.

Data type Percentage

Unit of measurement

Numerator Number of provinces and cities with at least one diagnostic facility

participating in the malaria quality assurance system (QAS)

Denominator Total number of province and cities

Disaggregation By municipality/city, province

Data source Malaria Quality Assurance reports

Frequency of collection Quarterly

Limitations/ Comments

Links and references 1. National Strategic Plan for Malaria Control and Elimination

Program 2014-2020

(https://www.dropbox.com/s/i2irjn3nb563bl1/National%20Str

ategic%20Plan%20for%20Control%20and%20%20Elimination

%20of%20Malaria%20in%20the%20Philippines%2C%202014

-20.pdf?dl=0)

2. Philippine National Malaria Monitoring, Evaluation, and

Monitoring Plan 2014-2020

(https://www.dropbox.com/s/cj37alvrok0xqua/Philippine%20

National%20Malaria%20Monitoring%2C%20Evaluation%2C%2

0and%20Monitoring%20Plan%202014-2020.pdf?dl=0)

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Proportion of provinces/cities with vector mapping completed/updated

Indicator code MCP-011

Indicator name Proportion of provinces/cities with vector mapping

completed/updated

Abbreviated name Completed/updated vector mapping

International name

Topic Case Surveillance and Response System

M&E Framework Output

Rationale This measures trend of malaria morbidity and highlights location

and quantity of ongoing transmission. This indicator is the most

important measure of progress and management in low-incidence

areas.

Mapping of active breeding sites has to be undertaken, including

the collection of larva/adult species to identify presence of vectors

and based on these studies, appropriate vector control measures

can be instituted.

Definition This refers to the proportion of provinces/cities that have been

visited by the Regional Entomological Team and have completed

or updated identification of all active vector breeding sites.

An active breeding site may be a slow flowing partly-shaded

stream or semi-stagnant body of water open to sunlight with the

presence of Anopheles mosquitoes or larvae.

Data type Percentage

Unit of measurement

Numerator Number of provinces/cities with vector mapping

completed/updated

Denominator Total number of provinces/cities

Disaggregation By municipality/city, province

Data source Vector Mapping Report Form

Frequency of collection Annual

Limitations/ Comments

Links and references

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Proportion of population-at-risk potentially covered by long-lasting insecticide nets

(LLIN) distributed at a ratio of 1 net per 2 persons

Indicator code MCP-012

Indicator name Proportion of population-at-risk potentially covered by long-lasting

insecticide nets (LLIN) distributed at a ratio of 1 net per 2 persons

Abbreviated name Population-at-risk covered by LLIN

International name

Topic Vector Control

M&E Framework Outcome

Rationale This attempts to measure the extent of LLIN coverage as a means

of preventing malaria among at risk population. This indicator

shows the potential coverage of at-risk population given the

assumption that 1 LLIN covers 2 persons.

Definition This refers to proportion of population-at-risk potentially covered

by long-lasting insecticide nets (LLIN) distributed at a ratio of 1 net

per 2 persons.

Population-at-risk potentially covered by long-lasting insecticide

nets (LLIN) is estimated by adding:

1. At-risk population potentially covered by LLIN distributed during

the reporting period; and

2. The population covered in the past 2 years minus attrition rate

of 10% per year

To calculate (Item 1) at-risk population potentially covered by LLIN

distributed during the reporting period: Multiply the number of

LLIN distributed by 2 persons per LLIN

Population at-risk refers to population living in areas with stable,

unstable, sporadic, and malaria-prone transmission.

Stable – continuous presence of at least one indigenous malaria

case in a month for 6 months or more at any time during the past

three years;

Unstable – continuous presence of at least one indigenous

malaria case in a month for less than 6 months at any time during

the past three years;

Sporadic - presence of at least one indigenous malaria case at any

time in the past 5 years; and

Malaria-Prone Area(MPA) - Zero indigenous case for the past five

years

Data type Percentage

Unit of measurement

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Numerator Population-at-risk potentially covered by long-lasting insecticide

nets (LLIN)

Denominator Total population at risk for malaria

Disaggregation By barangay, municipality/city, province

Data source PhilMIS (Philippine Malaria Information System) reports

Frequency of collection Quarterly

Limitations/ Comments This indicator captures potential coverage of LLIN, not the actual

coverage.

Links and references 1. National Strategic Plan for Malaria Control and Elimination

Program 2014-2020

(https://www.dropbox.com/s/i2irjn3nb563bl1/National%20Str

ategic%20Plan%20for%20Control%20and%20%20Elimination

%20of%20Malaria%20in%20the%20Philippines%2C%202014

-20.pdf?dl=0)

2. Philippine National Malaria Monitoring, Evaluation, and

Monitoring Plan 2014-2020

(https://www.dropbox.com/s/cj37alvrok0xqua/Philippine%20

National%20Malaria%20Monitoring%2C%20Evaluation%2C%2

0and%20Monitoring%20Plan%202014-2020.pdf?dl=0)

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Proportion of population-at-risk reporting having slept under a long-lasting insecticide

nets (LLIN) the previous night

Indicator code MCP-013

Indicator name Proportion of population-at-risk reporting having slept under a

long-lasting insecticide nets (LLIN) the previous night

Abbreviated name Population-at-risk reporting having slept under LLIN the previous

night

International name

Topic Vector Control

M&E Framework Outcome

Rationale This indicator attempts to measure the extent of utilization of LLIN

among at-risk population given LLIN.

Definition This refers to the proportion of population who reported to have

slept under LLIN the previous night.

Population-at-risk refers to population living in areas with stable,

unstable, sporadic, and malaria-prone transmission.

Stable – continuous presence of at least one indigenous malaria

case in a month for 6 months or more at any time during the past

three years;

Unstable – continuous presence of at least one indigenous

malaria case in a month for less than 6 months at any time during

the past three years;

Sporadic - presence of at least one indigenous malaria case at any

time in the past 5 years; and

Malaria-prone area (MPA) - zero indigenous case for the past five

years

Data type Percentage

Unit of measurement

Numerator Number of interviewed persons who reported to have slept under

a LLIN the previous night

Denominator Total number of people interviewed and were given LLIN

Disaggregation By sex

By age group

By risk group

Data source Bed net utilization survey

Frequency of collection Every 2 years

Limitations/ Comments

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Links and references 1. National Strategic Plan for Malaria Control and Elimination

Program 2014-2020

(https://www.dropbox.com/s/i2irjn3nb563bl1/National%20Str

ategic%20Plan%20for%20Control%20and%20%20Elimination

%20of%20Malaria%20in%20the%20Philippines%2C%202014

-20.pdf?dl=0)

2. Philippine National Malaria Monitoring, Evaluation, and

Monitoring Plan 2014-2020

(https://www.dropbox.com/s/cj37alvrok0xqua/Philippine%20

National%20Malaria%20Monitoring%2C%20Evaluation%2C%2

0and%20Monitoring%20Plan%202014-2020.pdf?dl=0)

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Proportion of households in targeted areas that received quality-assured indoor

residual spraying (IRS) during the reporting period

Indicator code MCP-014

Indicator name Proportion of households in targeted areas that received quality-

assured indoor residual spraying (IRS) during the reporting period

Abbreviated name Households that received quality IRS

International name

Topic Vector Control

M&E Framework Output

Rationale This indicator attempts to assess IRS coverage. High coverage of

quality-assured IRS indicates protection through IRS at the

household level.

Definition This refers to the proportion of households in targeted areas that

received quality-assured IRS. Quality IRS requires that three cycles

of spraying in a year by a trained spray man.

Data type Percentage

Unit of measurement

Numerator Number of houses in targeted areas that received quality-assured

IRS

Denominator Total number of targeted houses for IRS

Disaggregation By barangay, municipality/city, province

Data source Malaria Indoor Residual Spray report forms

Frequency of collection Annual

Limitations/ Comments House materials should be assessed whether or not these are

amenable to the retention of sprayed insecticides.

Links and references 1. National Strategic Plan for Malaria Control and Elimination

Program 2014-2020

(https://www.dropbox.com/s/i2irjn3nb563bl1/National%20Str

ategic%20Plan%20for%20Control%20and%20%20Elimination

%20of%20Malaria%20in%20the%20Philippines%2C%202014

-20.pdf?dl=0)

2. Philippine National Malaria Monitoring, Evaluation, and

Monitoring Plan 2014-2020

(https://www.dropbox.com/s/cj37alvrok0xqua/Philippine%20

National%20Malaria%20Monitoring%2C%20Evaluation%2C%2

0and%20Monitoring%20Plan%202014-2020.pdf?dl=0)

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Proportion of suspected malaria cases that received a parasitological test

(microscopy or RDT)

Indicator code MCP-015

Indicator name Proportion of suspected malaria cases that received a

parasitological test (microscopy or RDT)

Abbreviated name Malaria parasitological testing

International name

Topic Malaria Diagnosis and Treatment

M&E Framework Outcome

Rationale This attempts to measure the accessibility of diagnostic services

for malaria.

Definition This indicator records the proportion of suspected malaria cases

that received microscopy or RDT tests. Suspected malaria case is

defined as patient who presents a history of fever and other

symptoms or signs such as headache, chills and sweating in the

previous two weeks with any of the following history: (a) living in

malaria endemic area; (b) history of travel to a malarious area; (c)

history of anti-malarial drug therapy within 3 days and; (d) history

of blood transfusion in the previous month(s).

Data type Percentage

Unit of measurement

Numerator Number of suspected malaria cases that received microscopy or

RDT tests

Denominator Total number of suspected malaria cases recorded in BHS, RDT

centers, RHUs, and government hospitals

Disaggregation By sex

By age

By barangay, municipality/city, province

Data source PhilMIS (Philippine Malaria Information System) reports

Frequency of collection Quarterly

Limitations/ Comments

Links and references 1. National Strategic Plan for Malaria Control and Elimination

Program 2014-2020

(https://www.dropbox.com/s/i2irjn3nb563bl1/National%20Str

ategic%20Plan%20for%20Control%20and%20%20Elimination

%20of%20Malaria%20in%20the%20Philippines%2C%202014

-20.pdf?dl=0)

2. Philippine National Malaria Monitoring, Evaluation, and

Monitoring Plan 2014-2020

(https://www.dropbox.com/s/cj37alvrok0xqua/Philippine%20

National%20Malaria%20Monitoring%2C%20Evaluation%2C%2

0and%20Monitoring%20Plan%202014-2020.pdf?dl=0)

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Proportion of parasitologically confirmed malaria cases that received first-line

antimalarial treatment according to national guidelines

Indicator code MCP-016

Indicator name Proportion of parasitologically confirmed malaria cases that

received first-line antimalarial treatment according to national

guidelines

Abbreviated name First-line antimalarial treatment

International name

Topic Malaria Diagnosis and Treatment

M&E Framework Outcome

Rationale Universal access to reliable diagnosis and treatment according to

national guidelines. This indicator determines the availability and

accessibility of antimalarial treatment in a facility. Non-

achievement of the target may reflect poor access or non-

availability of treatment services.

Definition This indicator refers to the proportion of parasitologically

confirmed malaria cases that received first-line antimalarial

treatment according to national guidelines.

Data type Percentage

Unit of measurement

Numerator Number of parasitologically confirmed malaria cases that received

first-line antimalarial treatment according to national guidelines

Denominator Total number of parasitologically confirmed malaria cases

Disaggregation By sex

By age

By municipality/city, province

Data source PhilMIS (Philippine Malaria Information System) reports

Frequency of collection Monthly, Quarterly

Limitations/ Comments This indicator does not capture probable malaria cases that

received treatment. This data are incorporated in to the Davao

Regional Health Information System (RHIS).

Links and references 1. National Strategic Plan for Malaria Control and Elimination

Program 2014-2020

(https://www.dropbox.com/s/i2irjn3nb563bl1/National%20Str

ategic%20Plan%20for%20Control%20and%20%20Elimination

%20of%20Malaria%20in%20the%20Philippines%2C%202014

-20.pdf?dl=0)

2. Philippine National Malaria Monitoring, Evaluation, and

Monitoring Plan 2014-2020

(https://www.dropbox.com/s/cj37alvrok0xqua/Philippine%20

National%20Malaria%20Monitoring%2C%20Evaluation%2C%2

0and%20Monitoring%20Plan%202014-2020.pdf?dl=0)

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Proportion of suspected malaria cases seeking diagnosis and treatment within 48

hours of onset of symptoms

Indicator code MCP-017

Indicator name Proportion of suspected malaria cases seeking diagnosis and

treatment within 48 hours of onset of symptoms

Abbreviated name Malaria cases seeking diagnosis and treatment

International name

Topic Malaria Diagnosis and Treatment

M&E Framework Outcome

Rationale This indicator aims to measure demand for early diagnosis,

prompt case management and treatment among the at-risk

population.

The strategy intends to measure and aims to improve knowledge

and awareness of community members about malaria and

malaria risk, improve their behaviors in seeking prompt and timely

services from appropriate sources, comply with diagnosis and

treatment protocols, and apply appropriate personal practices to

prevent them from getting infected in the first place and from

further transmitting the infection via mosquito vectors to other

community members.

Definition This refers to the proportion of suspected malaria cases who

sought diagnosis and treatment within 48 hours from the onset of

symptoms.

Data type Percentage

Unit of measurement

Numerator Number of suspected malaria cases who sought diagnosis and

treatment within 48 hours of onset of symptoms

Denominator Total number of suspected malaria cases

Disaggregation By geographical location

Data source PhilMIS (Philippine Malaria Information System) reports, Malaria

Registry

Frequency of collection Monthly, Quarterly

Limitations/ Comments The indicator does not capture asymptomatic patients.

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Links and references 1. National Strategic Plan for Malaria Control and Elimination

Program 2014-2020

(https://www.dropbox.com/s/i2irjn3nb563bl1/National%20Str

ategic%20Plan%20for%20Control%20and%20%20Elimination

%20of%20Malaria%20in%20the%20Philippines%2C%202014

-20.pdf?dl=0)

2. Philippine National Malaria Monitoring, Evaluation, and

Monitoring Plan 2014-2020

(https://www.dropbox.com/s/cj37alvrok0xqua/Philippine%20

National%20Malaria%20Monitoring%2C%20Evaluation%2C%2

0and%20Monitoring%20Plan%202014-2020.pdf?dl=0)

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Proportion of active breeding sites that were provided with vector control intervention

Indicator code MCP-018

Indicator name Proportion of active breeding sites that were provided with vector

control intervention

Abbreviated name

International name

Topic Case Surveillance and Response System

M&E Framework Outcome

Rationale This measures intervention made to stop ongoing transmission by

applying vector control interventions to active malaria vector

breeding sites.

Definition This refers to the proportion of active breeding sites that were

provided with vector control intervention.

An active breeding site may be a slow flowing partly-shaded

stream or semi-stagnant body of water open to sunlight with the

presence of Anopheles mosquitoes or larvae.

These interventions may include permanent exposure of the body

of water to sunlight, seeding with larvivorous species and

application of larvicides.

Data type Percentage

Unit of measurement

Numerator Total number of active breeding sites that were provided with

vector control intervention.

Denominator Total number of active breeding sites

Disaggregation By type of vector control intervention

By municipality/city, province

Data source Malaria Program Coordinator

Frequency of collection Annual

Limitations/ Comments Monitoring tool to be developed by the Malaria Program.

Links and references

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Malaria morbidity rate

Indicator code MCP-019

Indicator name Malaria morbidity rate

Abbreviated name

International name

Topic Morbidity

M&E Framework Impact

Rationale This measures trend of malaria morbidity and highlights location

and quantity of ongoing transmission. This indicator is the most

important measure of progress and management.

Definition This refers to the number of confirmed indigenous cases per

100,000 population.

Data type Rate

Unit of measurement Cases per 100,000 population

Numerator Number of confirmed new indigenous malaria cases

Denominator Total population

Disaggregation By sex

By age

By municipality/city, province

Data source PhilMIS (Philippine Malaria Information System) reports

Frequency of collection Monthly

Limitations/ Comments This data are incorporated in to the Davao Regional Health

Information System (RHIS).

Links and references 1. National Strategic Plan for Malaria Control and Elimination

Program 2014-2020

(https://www.dropbox.com/s/i2irjn3nb563bl1/National%20Str

ategic%20Plan%20for%20Control%20and%20%20Elimination

%20of%20Malaria%20in%20the%20Philippines%2C%202014

-20.pdf?dl=0)

2. Philippine National Malaria Monitoring, Evaluation, and

Monitoring Plan 2014-2020

(https://www.dropbox.com/s/cj37alvrok0xqua/Philippine%20

National%20Malaria%20Monitoring%2C%20Evaluation%2C%2

0and%20Monitoring%20Plan%202014-2020.pdf?dl=0)

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Annual parasite incidence

Indicator code MCP-020

Indicator name Annual parasite incidence

Abbreviated name API

International name

Topic Risk Measure

M&E Framework Impact

Rationale This tracks the burden from malaria.

Definition Annual Parasite Incidence (API) is number of confirmed new

malaria cases per 1,000 at-risk population. The API represents the

most broadly applied measure of risk of infection.

Data type Rate

Unit of measurement Cases per 1,000 at-risk population

Numerator Number of confirmed new malaria cases

Denominator Total at-risk population

Disaggregation By API level (≥5.0, ≥1.0 to <5.0, ≥0.1 to <1.0, and <0.1 per 1000

population)

By sex

By barangay, municipality/city, province

Data source Numerator: PhilMIS (Philippine Malaria Information System)

reports

Denominator: Malaria stratification of areas updated by the

program every 3 years

Frequency of collection Annual

Limitations/ Comments This data are incorporated in to the Davao Regional Health

Information System (RHIS).

Links and references 1. National Strategic Plan for Malaria Control and Elimination

Program 2014-2020

(https://www.dropbox.com/s/i2irjn3nb563bl1/National%20Str

ategic%20Plan%20for%20Control%20and%20%20Elimination

%20of%20Malaria%20in%20the%20Philippines%2C%202014

-20.pdf?dl=0)

2. Philippine National Malaria Monitoring, Evaluation, and

Monitoring Plan 2014-2020

(https://www.dropbox.com/s/cj37alvrok0xqua/Philippine%20

National%20Malaria%20Monitoring%2C%20Evaluation%2C%2

0and%20Monitoring%20Plan%202014-2020.pdf?dl=0)

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Number of municipalities or cities with annual parasite incidence of ≥5.0 per 1000

population

Indicator code MCP-021

Indicator name Number of municipalities or cities with annual parasite incidence

of ≥5.0 per 1000 population

Abbreviated name API of ≥5.0 per 1000 population

International name

Topic Risk Measure

M&E Framework Impact

Rationale This tracks the trend and distribution of municipalities in terms of

malaria endemicity.

Definition This refers to the number of municipalities or cities with annual

parasite incidence of ≥5.0 per 1000 population.

The Annual Parasite Incidence (API) is computed as: (total number

of confirmed new malaria cases / total at-risk population) x 1000

Data type Count

Unit of measurement

Numerator Number of municipalities or cities with annual parasite incidence

of ≥5.0 per 1000 population

Denominator N/A

Disaggregation By province

Data source Confirmed new malaria cases: PhilMIS (Philippine Malaria

Information System) reports

Total at-risk population: Malaria stratification of areas updated by

the program every 3 years

Frequency of collection Annual

Limitations/ Comments

Links and references 1. National Strategic Plan for Malaria Control and Elimination

Program 2014-2020

(https://www.dropbox.com/s/i2irjn3nb563bl1/National%20Str

ategic%20Plan%20for%20Control%20and%20%20Elimination

%20of%20Malaria%20in%20the%20Philippines%2C%202014

-20.pdf?dl=0)

2. Philippine National Malaria Monitoring, Evaluation, and

Monitoring Plan 2014-2020

(https://www.dropbox.com/s/cj37alvrok0xqua/Philippine%20

National%20Malaria%20Monitoring%2C%20Evaluation%2C%2

0and%20Monitoring%20Plan%202014-2020.pdf?dl=0)

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Number of municipalities or cities with annual parasite incidence of ≥1.0 to <5.0 per

1000 population

Indicator code MCP-022

Indicator name Number of municipalities or cities with annual parasite incidence of

≥1.0 to <5.0 per 1000 population

Abbreviated name API of ≥1.0 to <5.0 per 1000 population

International name

Topic Risk Measure

M&E Framework Impact

Rationale This tracks the trend and distribution of municipalities in terms of

malaria endemicity.

Definition This refers to the number of municipalities or cities with annual

parasite incidence of ≥1.0 to <5.0 per 1000 population.

The Annual Parasite Incidence (API) is computed as: (total number

of confirmed new malaria cases / total at-risk population) x 1000

Data type Count

Unit of measurement

Numerator Number of municipalities or cities with annual parasite incidence of

≥1.0 to <5.0 per 1000 population

Denominator N/A

Disaggregation By province

Data source Confirmed new malaria cases: PhilMIS (Philippine Malaria

Information System) reports

Total at-risk population: Malaria stratification of areas updated by

the program every 3 years

Frequency of collection Annual

Limitations/ Comments

Links and references 1. National Strategic Plan for Malaria Control and Elimination

Program 2014-2020

(https://www.dropbox.com/s/i2irjn3nb563bl1/National%20Str

ategic%20Plan%20for%20Control%20and%20%20Elimination

%20of%20Malaria%20in%20the%20Philippines%2C%202014-

20.pdf?dl=0)

2. Philippine National Malaria Monitoring, Evaluation, and

Monitoring Plan 2014-2020

(https://www.dropbox.com/s/cj37alvrok0xqua/Philippine%20N

ational%20Malaria%20Monitoring%2C%20Evaluation%2C%20a

nd%20Monitoring%20Plan%202014-2020.pdf?dl=0)

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Number of municipalities or cities with annual parasite incidence of ≥0.1 to <1.0 per

1000 population

Indicator code MCP-023

Indicator name Number of municipalities or cities with annual parasite incidence

of ≥0.1 to <1.0 per 1000 population

Abbreviated name API of ≥0.1 to <1.0 per 1000 population

International name

Topic Risk Measure

M&E Framework Impact

Rationale This tracks the trend and distribution of municipalities in terms of

malaria endemicity.

Definition This refers to the number of municipalities or cities with annual

parasite incidence of ≥0.1 to <1.0 per 1000 population.

The Annual Parasite Incidence (API) is computed as: (total

number of confirmed new malaria cases / total at-risk population)

x 1000

Data type Count

Unit of measurement

Numerator Number of municipalities or cities with annual parasite incidence

of ≥0.1 to <1.0 per 1000 population

Denominator N/A

Disaggregation By province

Data source Confirmed new malaria cases: PhilMIS (Philippine Malaria

Information System) reports

Total at-risk population: Malaria stratification of areas updated by

the program every 3 years

Frequency of collection Annual

Limitations/ Comments

Links and references 1. National Strategic Plan for Malaria Control and Elimination

Program 2014-2020

(https://www.dropbox.com/s/i2irjn3nb563bl1/National%20Str

ategic%20Plan%20for%20Control%20and%20%20Elimination

%20of%20Malaria%20in%20the%20Philippines%2C%202014

-20.pdf?dl=0)

2. Philippine National Malaria Monitoring, Evaluation, and

Monitoring Plan 2014-2020

(https://www.dropbox.com/s/cj37alvrok0xqua/Philippine%20

National%20Malaria%20Monitoring%2C%20Evaluation%2C%2

0and%20Monitoring%20Plan%202014-2020.pdf?dl=0)

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Number of municipalities or cities with annual parasite incidence of <0.1 per 1000

population

Indicator code MCP-024

Indicator name Number of municipalities or cities with annual parasite incidence

of <0.1 per 1000 population

Abbreviated name API of <0.1 per 1000 population

International name

Topic Risk Measure

M&E Framework Impact

Rationale This tracks the trend and distribution of municipalities in terms of

malaria endemicity.

Definition This refers to the number of municipalities or cities with annual

parasite incidence of <0.1 per 1000 population.

The Annual Parasite Incidence (API) is computed as: (total

number of confirmed new malaria cases / total at-risk population)

x 1000

Data type Count

Unit of measurement

Numerator Number of municipalities or cities with annual parasite incidence

of <0.1 per 1000 population

Denominator N/A

Disaggregation By province

Data source Confirmed new malaria cases: PhilMIS (Philippine Malaria

Information System) reports

Total at-risk population: Malaria stratification of areas updated by

the program every 3 years

Frequency of collection Annual

Limitations/ Comments

Links and references 1. National Strategic Plan for Malaria Control and Elimination

Program 2014-2020

(https://www.dropbox.com/s/i2irjn3nb563bl1/National%20Str

ategic%20Plan%20for%20Control%20and%20%20Elimination

%20of%20Malaria%20in%20the%20Philippines%2C%202014

-20.pdf?dl=0)

2. Philippine National Malaria Monitoring, Evaluation, and

Monitoring Plan 2014-2020

(https://www.dropbox.com/s/cj37alvrok0xqua/Philippine%20

National%20Malaria%20Monitoring%2C%20Evaluation%2C%2

0and%20Monitoring%20Plan%202014-2020.pdf?dl=0)

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Malaria mortality rate

Indicator code MCP-025

Indicator name Malaria mortality rate

Abbreviated name

International name

Topic Mortality

M&E Framework Impact

Rationale This monitors the impact of the malaria program on severe

disease and death.

Definition Malaria death rate

Data type Rate

Unit of measurement Deaths per 100,000 population

Numerator Total number of confirmed indigenous malaria deaths

Denominator Total population

Disaggregation By sex

By age

By municipality/city, province

Data source PhilMIS (Philippine Malaria Information System) reports

Frequency of collection Monthly

Limitations/ Comments This data are incorporated in to the Davao Regional Health

Information System (RHIS).

Links and references 1. National Strategic Plan for Malaria Control and Elimination

Program 2014-2020

(https://www.dropbox.com/s/i2irjn3nb563bl1/National%20Str

ategic%20Plan%20for%20Control%20and%20%20Elimination

%20of%20Malaria%20in%20the%20Philippines%2C%202014

-20.pdf?dl=0)

2. Philippine National Malaria Monitoring, Evaluation, and

Monitoring Plan 2014-2020

(https://www.dropbox.com/s/cj37alvrok0xqua/Philippine%20

National%20Malaria%20Monitoring%2C%20Evaluation%2C%2

0and%20Monitoring%20Plan%202014-2020.pdf?dl=0)

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Number of malaria-free provinces/municipalities/cities

Indicator code MCP-026

Indicator name Number of malaria-free provinces/municipalities/cities

Abbreviated name Malaria-free provinces/municipalities/cities

International name

Topic Transition/Movement of Provinces

M&E Framework Impact

Rationale This directly reflects the degree of success of the elimination

campaign. This indicator provides data on how many provinces,

municipalities, and cities are malaria-free.

Definition Malaria-free provinces, municipalities or cities are those areas

having no indigenous malaria case for 5 consecutive years.

Data type Count

Unit of measurement

Numerator Number of provinces, municipalities and cities with no new

confirmed indigenous case

Denominator N/A

Disaggregation By municipality/city, province

Data source Malaria-free assessment tool of DOH

Frequency of collection Annual

Limitations/ Comments

Links and references 1. National Strategic Plan for Malaria Control and Elimination

Program 2014-2020

(https://www.dropbox.com/s/i2irjn3nb563bl1/National%20Str

ategic%20Plan%20for%20Control%20and%20%20Elimination

%20of%20Malaria%20in%20the%20Philippines%2C%202014

-20.pdf?dl=0)

2. Philippine National Malaria Monitoring, Evaluation, and

Monitoring Plan 2014-2020

(https://www.dropbox.com/s/cj37alvrok0xqua/Philippine%20

National%20Malaria%20Monitoring%2C%20Evaluation%2C%2

0and%20Monitoring%20Plan%202014-2020.pdf?dl=0)