Assessing Innovations in Malaria Control Service Delivery: Impact Evaluation under India's National Vector Borne Disease Control Program - Endline Survey 2010-2011
India, 2010 - 2011
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Reference ID
IND_2010_NVBDCP_v01_M_PUF
Producer(s)
Jed Friedman, Ministry of Health and Family Welfare
Collection(s)
Created on
Mar 27, 2013
Last modified
Sep 26, 2013
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Identification
Survey ID Number
IND_2010_NVBDCP_v01_M_PUF
Title
Assessing Innovations in Malaria Control Service Delivery: Impact Evaluation under India's National Vector Borne Disease Control Program - Endline Survey 2010-2011
Country/Economy
| Name | Country code |
|---|---|
| India | IND |
Study type
Other Household Survey [hh/oth]
Abstract
Malaria is a serious health threat to the Indian population. The World Bank, through the National Vector Borne Disease Control Program, is assisting the government of India to develop a new national response strategy.
This impact evaluation study was undertaken to test the effectiveness of the new strategies of malaria control in India. These strategies included community-based management of fever and malaria with rapid diagnostic tests and artemisinin-combination therapy, and introduction of long lasting insecticidal treated bed nets. The impact evaluation was conducted in 120 villages in two high endemic districts in Orissa state. It was a three-arm randomized design with one intervention arm receiving supportive supervision of community health workers along with community mobilization, the second intervention arm with only community mobilization, and a third control arm without any intervention.
The baseline data collection was carried out in Dec. 2008 - Jan. 2009, and the endline data collection - in Nov. 2010 - Feb. 2011. Data from endline household questionnaires, the malaria service providers questionnaire and the community questionnaire is documented here.
This impact evaluation study was undertaken to test the effectiveness of the new strategies of malaria control in India. These strategies included community-based management of fever and malaria with rapid diagnostic tests and artemisinin-combination therapy, and introduction of long lasting insecticidal treated bed nets. The impact evaluation was conducted in 120 villages in two high endemic districts in Orissa state. It was a three-arm randomized design with one intervention arm receiving supportive supervision of community health workers along with community mobilization, the second intervention arm with only community mobilization, and a third control arm without any intervention.
The baseline data collection was carried out in Dec. 2008 - Jan. 2009, and the endline data collection - in Nov. 2010 - Feb. 2011. Data from endline household questionnaires, the malaria service providers questionnaire and the community questionnaire is documented here.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
- households (all family members living together with a common kitchen are defined as a household);
- village-level malaria service providers;
- community leaders and activists.
- village-level malaria service providers;
- community leaders and activists.
Version
Version Description
v01, public use files.
Scope
Notes
The scope of the study includes:
1) Households:
- demographic characteristics of household members;
- use of mosquito nets and indoor residual spraying (IRS);
- socio-economic status;
- malaria-related knowledge, attitude and practice (KAP);
- malaria prevention during pregnancy;
- fever in last two weeks;
- health status;
- savings and credit activity;
- biometrics;
- anemia and malaria tests (Rapid Diagnostic Test (RDT)).
2) Village-level malaria service providers:
- background, training;
- malaria-related knowledge, attitude and practice (KAP);
- RDT and slide collection;
- treatment;
- documentation;
- community participation and acceptance;
- incentives and workload;
- motivation, work satisfaction and self-efficacy;
- supportive supervision.
3) Community:
- access to basic services;
- community characteristics;
- social capital;
- economic activities.
1) Households:
- demographic characteristics of household members;
- use of mosquito nets and indoor residual spraying (IRS);
- socio-economic status;
- malaria-related knowledge, attitude and practice (KAP);
- malaria prevention during pregnancy;
- fever in last two weeks;
- health status;
- savings and credit activity;
- biometrics;
- anemia and malaria tests (Rapid Diagnostic Test (RDT)).
2) Village-level malaria service providers:
- background, training;
- malaria-related knowledge, attitude and practice (KAP);
- RDT and slide collection;
- treatment;
- documentation;
- community participation and acceptance;
- incentives and workload;
- motivation, work satisfaction and self-efficacy;
- supportive supervision.
3) Community:
- access to basic services;
- community characteristics;
- social capital;
- economic activities.
Coverage
Geographic Coverage
Sundargarh and Mayurbhanj districts in Orissa State
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Jed Friedman | World Bank |
| Ministry of Health and Family Welfare | Government of India |
Funding Agency/Sponsor
| Name |
|---|
| World Bank |
Sampling
Sampling Procedure
The following information is taken from "Impact Evaluation under India’s National Vector Borne Disease Control Program Summary Note", available in Technical Documents.
"The interventions involving the contracting of local NGOs will be implemented in two districts purposively sampled from the 50 PF endemic districts selected in the first year of the National Vector-Borne Disease Control Program. The two selected districts are Sundargarh and Mayurbhanj in Orissa State. In each of the two districts, the intervention will be implemented in a random selection of villages from two administrative blocks each.
Five to six of the villages in each study block will receive one of the two interventions and six observed control villages will receive the standard government program. This creates a study area of roughly 32 villages in the case management treatment arm, 32 in the prevention treatment arm, and 32 control villages in 6 endemic blocks in the three districts.
In each study village, 20 households will be interviewed and, after a village listing of all recent fever cases (fever within the last 2 weeks), up to 20 recent fever cases (from a second household sample) will also be interviewed. An additional, second, control group from blocks not involved in the study will also be interviewed in order to identify whether any local spill-overs or other externalities from treatment activities affect the outcomes of control villages in the same block as the intervention. This second control group will derive from randomly selected additional endemic blocks in the same districts but not participating in the study and will constitute another 48 villages in total.
These power calculations focus on two main outcomes of interest: the percentage of households correctly utilizing at least one long-lasting insecticidal net (LLIN) - for the prevention intervention - and the percentage of fever cases tested for Pf malaria within 24 hours - for the treatment intervention."
"The interventions involving the contracting of local NGOs will be implemented in two districts purposively sampled from the 50 PF endemic districts selected in the first year of the National Vector-Borne Disease Control Program. The two selected districts are Sundargarh and Mayurbhanj in Orissa State. In each of the two districts, the intervention will be implemented in a random selection of villages from two administrative blocks each.
Five to six of the villages in each study block will receive one of the two interventions and six observed control villages will receive the standard government program. This creates a study area of roughly 32 villages in the case management treatment arm, 32 in the prevention treatment arm, and 32 control villages in 6 endemic blocks in the three districts.
In each study village, 20 households will be interviewed and, after a village listing of all recent fever cases (fever within the last 2 weeks), up to 20 recent fever cases (from a second household sample) will also be interviewed. An additional, second, control group from blocks not involved in the study will also be interviewed in order to identify whether any local spill-overs or other externalities from treatment activities affect the outcomes of control villages in the same block as the intervention. This second control group will derive from randomly selected additional endemic blocks in the same districts but not participating in the study and will constitute another 48 villages in total.
These power calculations focus on two main outcomes of interest: the percentage of households correctly utilizing at least one long-lasting insecticidal net (LLIN) - for the prevention intervention - and the percentage of fever cases tested for Pf malaria within 24 hours - for the treatment intervention."
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2010-11 | 2011-02 |
Data Collection Mode
Face-to-face [f2f]
Data Collectors
| Name |
|---|
| Prelude Novel Ventures Private Limited |
Questionnaires
Questionnaires
Questionnaires were administered to households, village-level malaria service providers, and community leaders.
On the household level, the questions were asked about:
- demographic characteristics of household members;
- use of mosquito nets/indoor residual spraying;
- socio-economic status (caste, religion, perceived wealth, housing conditions, cattle, non-farm microenterprise, farm enterprise, land ownership, crops that the household produced, assets);
- malaria (knowledge about malaria, Rapid Diagnostic Test (RDK), blood test, malaria treatment, malaria prevention during pregnancy, visits to doctors and ASHA, fever, symptoms of illness, preference of service providers, treatment expenses, use of medicine);
- savings, credits and loans;
- height and weight of children under 5 years old, and women 15 to 49 years old;
- hemoglobin level test, RDT, fever measurement for children under 5, and women 15 to 49 years old.
On malaria service providers level, the questions were asked about:
- background and training;
- Malaria Rapid Diagnostic Test (RDT) and Artemisinin-based Combination Therapy (ACT) usage;
- services provided (blood tests, treatment, educating people about how to prevent malaria, impregnating/distribution of bed nets, helping with insecticide spray);
- malaria-related knowledge, attitude and practices;
- maintenance of records;
- community involvement in malaria treatment and prevention, use of mosquito nets;
- work load, incentives, and supervision.
To community leaders and activists, the questions were asked about:
- community characteristics (roads, body of water, public transportation, flooding);
- active committees and groups;
- temporary migration of workers to and from the community.
On the household level, the questions were asked about:
- demographic characteristics of household members;
- use of mosquito nets/indoor residual spraying;
- socio-economic status (caste, religion, perceived wealth, housing conditions, cattle, non-farm microenterprise, farm enterprise, land ownership, crops that the household produced, assets);
- malaria (knowledge about malaria, Rapid Diagnostic Test (RDK), blood test, malaria treatment, malaria prevention during pregnancy, visits to doctors and ASHA, fever, symptoms of illness, preference of service providers, treatment expenses, use of medicine);
- savings, credits and loans;
- height and weight of children under 5 years old, and women 15 to 49 years old;
- hemoglobin level test, RDT, fever measurement for children under 5, and women 15 to 49 years old.
On malaria service providers level, the questions were asked about:
- background and training;
- Malaria Rapid Diagnostic Test (RDT) and Artemisinin-based Combination Therapy (ACT) usage;
- services provided (blood tests, treatment, educating people about how to prevent malaria, impregnating/distribution of bed nets, helping with insecticide spray);
- malaria-related knowledge, attitude and practices;
- maintenance of records;
- community involvement in malaria treatment and prevention, use of mosquito nets;
- work load, incentives, and supervision.
To community leaders and activists, the questions were asked about:
- community characteristics (roads, body of water, public transportation, flooding);
- active committees and groups;
- temporary migration of workers to and from the community.
Access policy
Contacts
| Name | Affiliation | |
|---|---|---|
| Jed Friedman | World Bank | jfriedman@worldbank.org |
Citation requirements
Use of the datasets must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator;
- the title of the survey (including country, acronym and year of implementation);
- the survey reference number;
- the source and date of download.
Example:
Jed Friedman, World Bank; Ministry of Health and Family Welfare. Assessing Innovations in Malaria Control Service Delivery: Impact Evaluation under India's National Vector Borne Disease Control Program - Endline Survey (NVBDCP) 2010-2011, Ref. IND_2010_NVBDCP_v01_M_PUF. Dataset downloaded from [url] on [date].
- the Identification of the Primary Investigator;
- the title of the survey (including country, acronym and year of implementation);
- the survey reference number;
- the source and date of download.
Example:
Jed Friedman, World Bank; Ministry of Health and Family Welfare. Assessing Innovations in Malaria Control Service Delivery: Impact Evaluation under India's National Vector Borne Disease Control Program - Endline Survey (NVBDCP) 2010-2011, Ref. IND_2010_NVBDCP_v01_M_PUF. Dataset downloaded from [url] on [date].
Disclaimer and copyrights
Disclaimer
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Metadata production
DDI Document ID
DDI_IND_2010_NVBDCP_v01_M_PUF
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Data Group | DECDG | World Bank | Generation of DDI documentation |
Date of Metadata Production
2012-10-02
DDI Document version
v01