Integrating water treatment into antenatal care: Impact on use of maternal health services and household water treatment by mothers-rural Uganda, 2013

listen audio

Study Justification:
The study aimed to evaluate the impact of integrating water treatment into antenatal care on the use of maternal health services and household water treatment by mothers in rural Uganda. This was done by providing free water treatment kits and sachet refills to women during antenatal care visits. The study was conducted to assess whether this intervention would increase the use of maternal health services and improve household water treatment practices.
Highlights:
– The study included 226 women in the intervention group (who received the water treatment kits) and 207 women in the comparison group (who received antenatal care before the intervention).
– There was no significant difference in the percentage of women with ≥ 4 antenatal care visits between the intervention and comparison groups.
– However, a higher percentage of women in the intervention group reported treating their drinking water and had free chlorine residual in stored water compared to the comparison group.
– The intervention did not appear to motivate increased maternal health service use, but it did demonstrate improvements in household water treatment.
Recommendations:
Based on the study findings, the following recommendations can be made:
1. Continue integrating water treatment into antenatal care to improve household water treatment practices.
2. Explore additional strategies to motivate increased maternal health service use, as the intervention did not have a significant impact in this area.
Key Role Players:
To address the recommendations, the following key role players are needed:
1. Health facility staff: They play a crucial role in implementing the integration of water treatment into antenatal care and providing the necessary support and education to women.
2. Village health teams: They can assist in identifying eligible women for the intervention and providing support in the community.
3. Research assistants: They are responsible for conducting surveys and collecting data for evaluation purposes.
Cost Items:
The following cost items should be included in planning the recommendations (not actual cost but budget items):
1. Water treatment kits: Budget for the procurement and distribution of free water treatment kits to women during antenatal care visits.
2. Sachet refills: Budget for the procurement and distribution of free sachet refills to women at follow-up antenatal care visits, delivery, and postnatal visits.
3. Training and education materials: Budget for the development and dissemination of training materials for health facility staff and educational materials for women.
4. Monitoring and evaluation: Budget for data collection, analysis, and reporting to assess the impact of the intervention.
5. Staffing and logistics: Budget for the personnel involved in implementing the intervention, as well as transportation and other logistical needs.
Please note that the above cost items are general categories and the actual cost will depend on the specific context and implementation plan.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is rated 7 because it provides specific details about the study design, sample size calculation, data collection methods, and statistical analysis. However, it does not provide information about potential limitations or biases in the study. To improve the evidence, the abstract could include a discussion of any limitations or biases that may have affected the results, such as selection bias or confounding variables. Additionally, the abstract could provide more information about the generalizability of the findings and potential implications for future research or interventions.

To increase maternal health service use and household water treatment (HWT), free water treatment kits were provided at first antenatal care (ANC) visits and free water treatment sachet refills were provided at follow-up ANC visits, delivery, and postnatal visits in 46 health facilities in rural Uganda. We evaluated the impact by surveying 226 women in the initiative (intervention group) and 207 women who received ANC before the initiative began (comparison group). There was no differences in the percentages of intervention and comparison group women with ≥ 4 ANC visits; however, a higher percentage of intervention group women reported treating their drinking water (31.7% versus 19.7%, P = 0.01), and had free chlorine residual in stored water (13.5% versus 3.4%, P = 0.02) than comparison group women. The intervention did not appear to motivate increased maternal health service use, but demonstrated improvements in HWT.

The evaluation included three components: 1) a cross-sectional household survey of an intervention group of women exposed to the Water for Health intervention in 2013 and a comparison group who received ANC in 2012, 2) abstraction of data from 2012 and 2013 ANC and maternity registries, and 3) a health-care provider survey. The 46 HF where Water for Health was implemented ranged from level II with catchment areas of 5,000 people to district hospitals with catchment areas of 500,000. All women who received ANC in these HF in 2012 and all women who received ANC and the water treatment kit in the same HFs in 2013 were eligible to participate. We based our sample size calculation on sachet use, a principal objective of the implementing organization and the donor. To determine the cross-sectional survey sample size, we assumed that the comparison group would have a 5% usage of sachets, which were available in shops in Uganda before the study began, and that the intervention group would report an increase in sachet use to 15%. To assure an adequate sample size, the estimated baseline use of sachets was higher than typically seen16 and the expected increase in use of free product was modest. A sample of 150 women in each group would provide 90% power to detect the difference in sachet use at an α = 0.05. We chose to include all HFs in the evaluation for several reasons. First, increasing the number of HFs enrolled would reduce the impact of a single HF on results and provide analytical options should some facilities provide influential or distinct results. Second, we minimized the potential impact of the design effect on the variance estimates by maximizing the number of HFs enrolled and selecting a smaller sample of women from each facility. Finally, we aimed for as many HFs as available so that HF variance could be statistically addressed, if needed. To ensure that women from each HF were adequately represented in the sample, a minimum of six women per HF was selected, which resulted in a substantial increase in sample size. We stratified our sample across the 37 eligible HFs and aimed to enroll six intervention and six comparison group women per HF, with one exception of a large hospital in which we targeted 10 intervention and 10 comparison group women for enrollment. Eligible women were selected for interview by random number generation from lists of women whose first ANC visit was recorded in ANC registries in March–April of 2012 for the comparison group and March–April of 2013 for the intervention group. This time frame was chosen to ensure that intervention group women had ample time for four ANC visits and would have delivered before the November 2013 evaluation. This was the primary sampling procedure, but because not all women identified by the registry could be located in a village (a common problem in rural Uganda) we used an alternate enrollment procedure in an attempt to reach the desired sample size. In this case, village health teams generated a list of women who attended at least one ANC visit, and delivered between 1 and 2 years previously (for the comparison group) or delivered less than 3 months previously (for the intervention group). Women were randomly selected, using a random number generator, from the list developed by the village health teams. For both primary and alternate enrollment selection methods, women selected for the comparison group were excluded if they were pregnant and received ANC in 2013. Trained research assistants fluent in two or more local languages used a standardized questionnaire to interview women about demographic and socioeconomic characteristics, pregnancy history, use of maternal health services, HWT practices, knowledge about sachets, and receipt and use of water treatment kits and sachet refills. Observations of data recorded in the maternal passport (a document maintained at home by the women, and updated by health-care providers at each visit to a maternal health clinic) and of home environmental characteristics were also made. Stored drinking water was tested for free chlorine residual using the N,N-diethyl-p-phenylenediamine colorimetric method (LaMotte Co., Chestertown, MD) as an objective measure of HWT. Data abstracted from ANC and maternity registries included monthly totals for first ANC, ≥ 4 ANC, total ANC visits, HF deliveries, PN visits for 2012 and 2013, and, for 2013 only, the number of water treatment kits and sachet refills distributed. The outcomes of ≥ 4 ANC, HF deliveries, and PN visits were divided by first ANC, a proxy for the total number of women since > 95% of women attend at least one ANC visit, to further compare across years. To improve our understanding of the Water for Health implementation process, we interviewed one health-care provider from each HF in March 2014. Data from the cross-sectional survey were entered into a Microsoft Access 2010 (Microsoft Corp., Redmond, WA) database, whereas registry data and health provider survey data were managed in Microsoft Excel (Redmond, WA); analysis was done using SAS version 9.3 (SAS Institute, Cary, NC). We tested the hypothesis that exposure to an offer of free water treatment kits and sachet refills at HF-based maternal health services would increase the percentages of mothers with ≥ 4 ANC visits, HF deliveries, PN visits, reported HWT, and confirmed HWT (positive chlorine residuals in stored household drinking water). Intervention and comparison group data were compared using Rao-Scott χ2 test, adjusting for any potential correlation within HF respondents. The design effect ranged from 0.01 to 1.62 with all but one being < 1.00. We report when the design effect exceeded 1.00 indicating some correlation. We report design-adjusted χ2 results to describe associations, as the intent and study were not powered for describing effect sizes and performing multivariable modeling. The protocol was approved by Institutional Review Boards at the Joint Clinical Research Center in Uganda and CDC (protocol 6482). Informed consent was obtained from all mothers.

The innovation described in the title and description is the integration of water treatment into antenatal care in rural Uganda. This innovation aimed to improve access to maternal health services and household water treatment by providing free water treatment kits and sachet refills to women during their antenatal care visits. The impact of this innovation was evaluated through a cross-sectional household survey, data abstraction from ANC and maternity registries, and a health-care provider survey. The results showed that there was no difference in the percentages of women with ≥4 ANC visits between the intervention and comparison groups. However, a higher percentage of women in the intervention group reported treating their drinking water and had free chlorine residual in stored water compared to the comparison group. This innovation demonstrated improvements in household water treatment but did not appear to motivate increased maternal health service use.
AI Innovations Description
The recommendation to improve access to maternal health in rural Uganda is to integrate water treatment into antenatal care. This recommendation was based on a study conducted in 2013, where free water treatment kits were provided to pregnant women at their first antenatal care (ANC) visit, and free water treatment sachet refills were provided at follow-up ANC visits, delivery, and postnatal visits in 46 health facilities.

The study found that there was no difference in the percentage of women with at least 4 ANC visits between the intervention group (women who received the water treatment kits) and the comparison group (women who received ANC before the initiative began). However, a higher percentage of women in the intervention group reported treating their drinking water and had free chlorine residual in stored water compared to the comparison group.

The evaluation of the intervention included a cross-sectional household survey, abstraction of data from ANC and maternity registries, and a health-care provider survey. The sample size calculation was based on the expected increase in sachet use, with a sample of 150 women in each group providing 90% power to detect the difference.

To ensure adequate representation from each health facility, a minimum of six women per facility were selected for the survey. Women were randomly selected from lists of women who attended ANC visits and delivered within a specific time frame.

The data collected from the survey, registries, and provider interviews were analyzed using statistical methods, including the Rao-Scott chi-square test to compare the intervention and comparison groups.

In conclusion, integrating water treatment into antenatal care can improve access to maternal health services and household water treatment. This innovation can help ensure safe drinking water for pregnant women and their families, leading to improved health outcomes.
AI Innovations Methodology
The study titled “Integrating water treatment into antenatal care: Impact on use of maternal health services and household water treatment by mothers-rural Uganda, 2013” aimed to improve access to maternal health services and household water treatment (HWT) in rural Uganda. The methodology used to simulate the impact of the recommendations on improving access to maternal health included three components:

1. Cross-sectional household survey: The study surveyed 226 women who were exposed to the Water for Health intervention (intervention group) and 207 women who received antenatal care (ANC) before the intervention began (comparison group). The survey collected data on demographic and socioeconomic characteristics, pregnancy history, use of maternal health services, HWT practices, knowledge about sachets, and receipt and use of water treatment kits and sachet refills. Observations of data recorded in the maternal passport and home environmental characteristics were also made.

2. Abstraction of data from ANC and maternity registries: Data from 2012 and 2013 ANC and maternity registries were collected. This included monthly totals for first ANC, ≥ 4 ANC, total ANC visits, health facility (HF) deliveries, postnatal (PN) visits, and the number of water treatment kits and sachet refills distributed in 2013. The outcomes of ≥ 4 ANC, HF deliveries, and PN visits were divided by first ANC to compare across years.

3. Health-care provider survey: One health-care provider from each HF was interviewed to gather information about the Water for Health implementation process.

The collected data were entered into databases and analyzed using statistical software. The hypothesis that exposure to free water treatment kits and sachet refills at HF-based maternal health services would increase the percentages of mothers with ≥ 4 ANC visits, HF deliveries, PN visits, reported HWT, and confirmed HWT was tested using statistical tests, such as the Rao-Scott χ2 test. The design effect was taken into account to adjust for potential correlation within HF respondents.

The study protocol was approved by Institutional Review Boards, and informed consent was obtained from all participating mothers.

Overall, the study found that the intervention did not significantly increase maternal health service use but demonstrated improvements in HWT practices.

Partagez ceci :
Facebook
Twitter
LinkedIn
WhatsApp
Email