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| Name | Class |
|---|---|
| Abdul Latif Jameel Poverty Action Lab | OTHER |
| Kenya Medical Research Institute | OTHER |
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Guaranteeing access to safe drinking water is still a challenge in rural households in developing countries, and unsafe water sources are responsible for millions of deaths each year around the world. Coupons for free dilute chlorine solution are a cost-effective and effective way of ameliorating child health and reducing diarrhea incidence. It is still an empirical challenge, however, to see if the positive health effects will be maintained when the program is implemented at scale. In this study, investigators conduct a randomized controlled trial (RCT) at scale to study the impacts of a chlorine coupon program implemented at health clinics on child health, including self-reported diarrhea, fever, and cough incidence in the previous two weeks. Investigators further investigate the pathway of the impact, such as self-reported and objectively measured use of chlorine and frequency of visits to health clinics.
Guaranteeing access to safe drinking water is still a challenge in rural households in developing countries, and unsafe water sources are responsible for millions of deaths each year around the world. Coupons for free dilute chlorine solution are (i) a cost-effective solution to targeting water treatment for households that need it and will use it and (ii) an effective way of ameliorating child health and reducing diarrhea incidence. It is still an empirical challenge, however, to see if the positive health effects will be maintained when the program is implemented at scale. In this study, investigators conduct a randomized controlled trial (RCT) at scale to study the impacts of a chlorine coupon program implemented at health clinics on child health, including self-reported diarrhea, fever, and cough incidence in the previous two weeks. Investigators further study the pathway of the impact, such as self-reported and objectively measured use of chlorine and frequency of visits to health clinics. Investigators monitor the program's impact at Health and Demographic Surveillance Systems (HDSS) sites in collaboration with the Kenya Medical Research Institute (KEMRI). Data collection includes child mortality, as well as verbal autopsies for deceased children. Data on mortality will be useful for future meta-analyses that pool data from multiple studies in order to estimate the mortality impact of free chlorine distribution schemes.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Treatment Arm | Experimental | After enrollment over a phone call, they receive a SMS text message with an ID number to receive their coupons at the health facility. Those coupons can be used to redeem WaterGuard 150mL dilute chlorine. Participants in this group will receive a packet of coupons that ensure a monthly supply of a150ml bottle of dilute chlorine solution for at least the next 12 months. These coupons are redeemable in health facilities and other sites registered for the study. |
|
| Control Arm | Experimental | After enrollment over a phone call, they will not be contacted. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Coupons for safe water program: Treatment | Other | Randomly selected women in the treatment group will receive coupons for free chlorine solutions to be redeemed at the health facility each month. |
| Measure | Description | Time Frame |
|---|---|---|
| Verified chlorine usage - 6 months | Presence of free chlorine residual in the drinking water, as observed through water testing using chlorine test strips. Households with a non-zero concentration of residual chlorine are considered to have treated their water. | The study will measure the presence of free chlorine residual in drinking water 6 months after the program launch. |
| Verified chlorine usage - 12 months | Presence of free chlorine residual in the drinking water, as observed through water testing using chlorine test strips. Households with a non-zero concentration of residual chlorine are considered to have treated their water. | The study will measure the presence of free chlorine residual in drinking water 12 months after the program launch. |
| Verified chlorine usage - 18 months | Presence of free chlorine residual in the drinking water, as observed through water testing using chlorine test strips. Households with a non-zero concentration of residual chlorine are considered to have treated their water. | The study will measure the presence of free chlorine residual in drinking water 18 months after the program launch. |
| Verified chlorine usage - 24 months | Presence of free chlorine residual in the drinking water, as observed through water testing using chlorine test strips. Households with a non-zero concentration of residual chlorine are considered to have treated their water. | The study will measure the presence of free chlorine residual in drinking water 24 months after the program launch. |
| Verified chlorine usage - 30 months | Presence of free chlorine residual in the drinking water, as observed through water testing using chlorine test strips. Households with a non-zero concentration of residual chlorine are considered to have treated their water. |
| Measure | Description | Time Frame |
|---|---|---|
| Child morbidity - 6 months | Child morbidity will include caregiver-reported diarrhea, fever, and cough incidents and cost related to sickness in the previous two weeks. This study will be underpowered to detect impacts on mortality, but investigators will collect data on mortality in any case as this study will contribute to a meta-analysis conducted in the future. | The study assesses child morbidity 6 months after the program launch. |
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Inclusion Criteria:
Exclusion Criteria:
- Women who do not consent.
The recruitment takes place at health facility targeting women visiting health facilities for antenatal care, postnatal care, and other reasons. This study recruits currently pregnant women.
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Akito Kamei, PhD | Contact | +12172006188 | akamei@uchicago.edu | |
| Elisa M Maffioli, PhD | Contact | elisamaf@umich.edu |
| Name | Affiliation | Role |
|---|---|---|
| Michael Kremer, PhD | University of Chicago | Principal Investigator |
| Pascaline Dupas, PhD | Stanford University | Principal Investigator |
| Elisa M Maffioli, PhD |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Health and Demographic Surveillance System (HDSS sites) | Recruiting | Kisumu | Kenya |
Once the analysis is complete, the de-identified data will be deposited in the public server for replicability of the research analysis.
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After the completion of the whole study
The de-identified data will be deposited in the public server
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| ID | Term |
|---|---|
| D003643 | Death |
| D066088 | Infant Death |
| D003967 | Diarrhea |
| D003968 | Diarrhea, Infantile |
| D000069578 | Waterborne Diseases |
| ID | Term |
|---|---|
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D012817 | Signs and Symptoms, Digestive |
| D012816 | Signs and Symptoms |
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This study will conduct individual randomization, assigning half of the women to receive coupons and the other half to the control group as we enroll.
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| Coupons for safe water program: Control | Other | Randomly selected women in the treatment group will not receive coupons for free chlorine solutions after enrollment. |
|
| The study will measure the presence of free chlorine residual in drinking water 30 months after the program launch. |
| Verified chlorine usage - 36 months | Presence of free chlorine residual in the drinking water, as observed through water testing using chlorine test strips. Households with a non-zero concentration of residual chlorine are considered to have treated their water. | The study will measure the presence of free chlorine residual in drinking water 36 months after the program launch. |
| Child morbidity - 12 months | Child morbidity will include caregiver-reported diarrhea, fever, and cough incidents and cost related to sickness in the previous two weeks. This study will be underpowered to detect impacts on mortality, but investigators will collect data on mortality in any case as this study will contribute to a meta-analysis conducted in the future. | The study assesses child morbidity 12 months after the program launch. |
| Child morbidity - 18 months | Child morbidity will include caregiver-reported diarrhea, fever, and cough incidents and cost related to sickness in the previous two weeks. This study will be underpowered to detect impacts on mortality, but investigators will collect data on mortality in any case as this study will contribute to a meta-analysis conducted in the future. | The study assesses child morbidity 18 months after the program launch. |
| Child morbidity - 24 months | Child morbidity will include caregiver-reported diarrhea, fever, and cough incidents and cost related to sickness in the previous two weeks. This study will be underpowered to detect impacts on mortality, but investigators will collect data on mortality in any case as this study will contribute to a meta-analysis conducted in the future. | The study assesses child morbidity 24 months after the program launch. |
| Child morbidity - 30 months | Child morbidity will include caregiver-reported diarrhea, fever, and cough incidents and cost related to sickness in the previous two weeks. This study will be underpowered to detect impacts on mortality, but investigators will collect data on mortality in any case as this study will contribute to a meta-analysis conducted in the future. | The study assesses child morbidity 30 months after the program launch. |
| Child morbidity - 36 months | Child morbidity will include caregiver-reported diarrhea, fever, and cough incidents and cost related to sickness in the previous two weeks. This study will be underpowered to detect impacts on mortality, but investigators will collect data on mortality in any case as this study will contribute to a meta-analysis conducted in the future. | The study assesses child morbidity 36 months after the program launch. |
| Self-reported health facility attendance - 6 months | Participants will be surveyed about recent visits to health facilities. For women who are currently pregnant or delivered a baby in the last 12 months, the study asks the number of antenatal care visits. For women who have children under age 5, we collect data on the number of postnatal care. | The study assesses the self-reported health facility attendance 6 months after the program launch. |
| Self-reported health facility attendance - 12 months | Participants will be surveyed about recent visits to health facilities. For women who are currently pregnant or delivered a baby in the last 12 months, the study asks the number of antenatal care visits. For women who have children under age 5, we collect data on the number of postnatal care. | The study assesses the self-reported health facility attendance 12 months after the program launch. |
| Self-reported health facility attendance - 18 months | Participants will be surveyed about recent visits to health facilities. For women who are currently pregnant or delivered a baby in the last 12 months, the study asks the number of antenatal care visits. For women who have children under age 5, we collect data on the number of postnatal care. | The study assesses the self-reported health facility attendance 18 months after the program launch. |
| Self-reported health facility attendance - 24 months | Participants will be surveyed about recent visits to health facilities. For women who are currently pregnant or delivered a baby in the last 12 months, the study asks the number of antenatal care visits. For women who have children under age 5, we collect data on the number of postnatal care. | The study assesses the self-reported health facility attendance 24 months after the program launch. |
| Self-reported health facility attendance - 30 months | Participants will be surveyed about recent visits to health facilities. For women who are currently pregnant or delivered a baby in the last 12 months, the study asks the number of antenatal care visits. For women who have children under age 5, we collect data on the number of postnatal care. | The study assesses the self-reported health facility attendance 30 months after the program launch. |
| Self-reported health facility attendance - 36 months | Participants will be surveyed about recent visits to health facilities. For women who are currently pregnant or delivered a baby in the last 12 months, the study asks the number of antenatal care visits. For women who have children under age 5, we collect data on the number of postnatal care. | The study assesses the self-reported health facility attendance 36 months after the program launch. |
| University of Michigan |
| Principal Investigator |
| Akito Kamei, PhD | University of Chicago | Principal Investigator |
| Sammy Khagayi, PhD | Kenya Medical Research Institute | Principal Investigator |
| Health and Demographic Surveillance System (HDSS) sites | Recruiting | Siaya | Kenya |
|
| D007239 | Infections |