Community health workers can improve child growth of antenatally-depressed, South African mothers: A cluster randomized controlled trial

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Study Justification:
– Maternal antenatal depression has long-term consequences for children’s health.
– The study aimed to examine if home visits by community health workers (CHW) can improve growth outcomes for children of mothers who are antenatally depressed.
Highlights:
– The study was a cluster randomized controlled trial conducted in Cape Town, South Africa.
– Almost all pregnant women (98%) were recruited and assessed during pregnancy, two weeks post-birth (92%), and 6 months post-birth (88%).
– Pregnant women were randomized to either standard care or an intervention program called The Philani Intervention Program (PIP), which included home visits by CHWs.
– The infants of depressed pregnant women in the PIP group were similar in height to the children of non-depressed mothers in both the PIP and standard care conditions, but significantly taller at 6 months of age than the infants of pregnant depressed mothers in the standard care condition.
– The intervention did not moderate children’s growth.
– A generalist, CHW-delivered home visiting program improved infant growth, even when mothers’ depression was not reduced.
– Focusing on maternal caretaking of infants, even when mothers are depressed, is critical in future interventions.
Recommendations:
– Implement home visiting programs delivered by community health workers to improve infant growth outcomes, especially for mothers who are antenatally depressed.
– Focus on maternal caretaking of infants as a key component of interventions, regardless of maternal depression status.
Key Role Players:
– Community health workers (CHWs) trained as generalists to conduct home visits and provide support and education to pregnant women and new mothers.
– Non-governmental organizations (NGOs) like Philani that have experience and expertise in operating in the community and delivering maternal and child health interventions.
– Local health care providers and clinics to collaborate with CHWs and provide necessary support and resources.
Cost Items for Planning Recommendations:
– Training and supervision of community health workers.
– Transportation for participants to assessment sites.
– Mobile phones and data collection tools.
– Resources for maternal and child health interventions, such as educational materials and nutritional supplements.
– Staffing and administrative costs for implementing and managing the intervention program.
– Monitoring and evaluation of the program’s effectiveness and impact.

The strength of evidence for this abstract is 8 out of 10.
The evidence in the abstract is strong because it is based on a cluster randomized controlled trial with a large sample size (N = 1238) and high recruitment and assessment rates. The study was approved by multiple Institutional Review Boards and conducted by independent teams. The abstract provides clear results and conclusions. To improve the evidence, it would be helpful to include more details about the randomization process, blinding procedures, and statistical analyses.

Background: Maternal antenatal depression has long-term consequences for children’s health. We examined if home visits by community health workers (CHW) can improve growth outcomes for children of mothers who are antenatally depressed. Methods: A cluster randomized controlled trial of all pregnant, neighbourhood women in Cape Town, South Africa. Almost all pregnant women (98 %, N = 1238) were recruited and assessed during pregnancy, two weeks post-birth (92 %) and 6 months post-birth (88 %). Pregnant women were randomized to either: 1) Standard Care (SC), which provided routine antenatal care; or 2) an intervention, The Philani Intervention Program (PIP), which included SC and home visits by CHW trained as generalists (M = 11 visits). Child standardized weight, length, and weight by length over 6 months based on maternal antenatal depression and intervention condition. Results: Depressed mood was similar across the PIP and SC conditions both antenatally (16.5 % rate) and at 6 months (16.7 %). The infants of depressed pregnant women in the PIP group were similar in height (height-for-age Z scores) to the children of non-depressed mothers in both the PIP and the SC conditions, but significantly taller at 6 months of age than the infants of pregnant depressed mothers in the SC condition. The intervention did not moderate children’s growth. Depressed SC mothers tended to have infants less than two standard deviations in height on the World Health Organization’s norms at two weeks post-birth compared to infants of depressed PIP mothers and non-depressed mothers in both conditions. Conclusions: A generalist, CHW-delivered home visiting program improved infant growth, even when mothers’ depression was not reduced. Focusing on maternal caretaking of infants, even when mothers are depressed, is critical in future interventions. Trial registration: ClinicalTrials.gov registration # NCT00996528. October 15, 2009

The Institutional Review Boards of University of California Los Angeles (UCLA), Stellenbosch University, and Emory University approved the study, whose methods have previously been published [34]. Three independent teams conducted the assessment (Stellenbosch), intervention (Philani Maternal, Child Health, and Nutrition Project, hereafter referred to as Philani), and data analyses (UCLA). Cape Town contains five major peri-urban settlements (townships) with formal and informal rudimentary housing. Unemployment in Cape Town townships is estimated at between 25 and 50 % [35]. Most women live within 5 km of a prenatal clinic. In each area, there is formal housing and vast areas of informal houses (shacks). In 2009, 26 township neighborhoods were matched on size (450–600 households), density, public utilities (water, electricity, toilets), distance of primary health care, and the number of alcohol bars. UCLA randomized matched pairs of neighborhoods to either the PIP or SC condition. The minimum number of pregnant women needed per neighbourhood to achieve 80 % power to detect a standardized effect size of 0.40 set the sample size; the original size was 1238. Participant flow through each phase of the study can be seen in Fig. 1. Trial profile A recruiter obtained consent to contact and repeatedly visit all households in all neighbourhoods from May 2009 to September 2010 in order to identify all pregnant women. Only 2 % of pregnant women refused participation. All mothers had relatively easy access to antenatal and postnatal care. Treatment for depression is theoretically possible, but it is highly unlikely that health care providers would identify or refer cases of depression, unless symptoms of active psychosis were detected during a clinic visit. Because the HIV rate in this population is about 26 %, standard clinic care includes HIV testing of virtually all women and extensive treatment for Mothers Living with HIV (MLHIV), including the following: dual therapy for Prevent Mother To Child Transmission (PMTCT), referral to antiretroviral therapy (ART) for women with CD4 counts below 200 or World Health Organization Stage 4 disease, the return of PCR test results for infants by 6 weeks of age, and co-trimoxazole for exposed infants starting at 6 weeks of age [36]. Nutritional supplements were also available from clinics during this study period. Philani is a non-governmental organization (NGO) that has been operating in Cape Town townships for more than 30 years. Local township women with good social skills and who were mothers themselves were recruited and trained as CHW to visit the homes of pregnant women and intervene to reduce alcohol misuse, increase adherence to perinatal HIV regimens, and boost child nutrition. CHW’s were trained in: 1) cognitive-behavioural approaches to establishing healthy routines and to problem-solving around goal setting, choices, triggers, and shaping of desirable behaviours; 2) key information about general maternal and child health, techniques for framing each health issue that is a risk (nutrition, alcohol, and HIV), and strategies for applying the health information in families’ daily lives; and 3) coping with their own life challenges. Trainers actively rehearsed and observed videotapes about how to solve challenging life situations, build engaging relationships, and keep responsibility for change with the mother. CHW were supervised weekly (face-to-face supervision as well as via mobile phones), and randomly observed twice a month. Specific PIP content has been described in more detail elsewhere [34]. A driver transported all participants to a central assessment site, allowing interviewers to be blinded to condition. All women provided written informed consent to participate in data collection. All data were collected using mobile phones [37]. Data collectors were taught methods of assessing infants’ growth, strategies for building rapport and collecting honest answers, and how to interact in a non-judgmental manner. Before going into the field, all data collectors observed five client interviews and practiced interviewing skills. All CHW were certified by supervisors prior to becoming interviewers. Maternal mood was assessed at the baseline recruitment interview during pregnancy and at 6 months post-birth using the Edinburgh Postnatal Depression Scale (EPDS), a 10-item measure, with items rated on a scale of 0–3 for severity [38]. The EPDS is a screening tool and is not used to make a confirmatory diagnosis of clinical depression; however, for the purposes of this study, we used a cut-off score of >18 to indicate the probable presence of depression [23]. Screening tools, by definition, will not have the sensitivity or specificity of a clinically validated tool such as the Standard Clinical Interview [39]. If the goal was to measure prevalence, we would have wanted to maximize sensitivity and accept some degree of false-positives. In this study however, we wanted to maximize specificity to reduce false positives, so we used the highest recommended cut-point to increase the chances that a screen positive was a definite case, likely to represent cases of severe depression [40]. Weight and length was measured at two weeks post birth and at six-months post-birth. Weight was assessed on scales calibrated monthly. Length was measured supine, using a roller meter with infant feet at zero position and bringing the headboard down to the crown of the head. Standardized z-scores (height-for-age, weight-for-age, height-for-weight-for age) were generated using new World Health Organization (WHO) child growth standards for infants under 24 months of age and calculated from WHO Anthro-2005 software. Infants were then categorized as underweight if they had a weight-for-age z-score (WAZ) of < −2 and stunted if they had a length-for-age z-score (HAZ) of 0.9) and, therefore, we only examine the results using the interviewer collected data. Before analyzing infant outcomes, we checked for confounding variables and found no significant differences in baseline demographic characteristics within or across study conditions among the full sample or among mothers depressed antenatally. Using SAS PROC MIXED (version 9°2; SAS Institute Inc., Cary, North Carolina, USA), we modelled infant growth z-scores longitudinally using an unstructured time trend in hierarchical linear regressions that included two random effects: one to model the correlation of repeated measures within a participant and another to model the correlation between participants clustered within the same neighborhood. Explanatory variables included indicators for intervention (PIP; 1 = intervention, 0 = SC) and antenatal depression (DEP; 1 = depressed, 0 = not depressed), time (TIME; 0 = birth, 1 = post-birth, 2 = six months), and the two- and three-way interactions of PIP, DEP, and TIME. Intervention as a moderator of the depression effect on the change in z-score over time (PIP*DEP*TIME) was the effect of interest, and we considered a 2-sided p-value < 0.05 to be significant. Using SAS PROC GLIMMIX, we also modelled the moderating effect of intervention on infant growth (z-score ≥ −2) cross-sectionally at each assessment period using logistic random effects regressions controlling for neighbourhood clustering. Explanatory variables included indicators for intervention (PIP; 1 = intervention, 0 = SC), antenatal depression (DEP; 1 = depressed, 0 = not depressed, and their interaction. Intervention’s moderation of depression’s impact on infant growth (PIP*DEP) was the effect of interest, and we set the criteria for a 2-sided p-value <0.05 to be significant.

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The innovation described in the study is the use of community health workers (CHWs) to improve child growth outcomes for antenatally-depressed mothers in South Africa. The CHWs were trained as generalists and made home visits to provide support and intervention. The study found that the infants of depressed pregnant women who received the intervention had similar height-for-age scores as the children of non-depressed mothers, and were significantly taller at 6 months compared to infants of depressed mothers who did not receive the intervention. The intervention did not moderate children’s growth, but it did improve infant growth even when mothers’ depression was not reduced. This highlights the importance of focusing on maternal caretaking of infants, even when mothers are depressed.
AI Innovations Description
The recommendation from the study is to implement a community health worker (CHW) program to improve child growth outcomes for antenatally-depressed mothers. The program involves home visits by CHWs who are trained as generalists and make an average of 11 visits. The study found that the infants of depressed pregnant women who received the intervention had similar height-for-age scores as the children of non-depressed mothers, and were significantly taller at 6 months compared to infants of depressed mothers who did not receive the intervention. The intervention did not moderate children’s growth, but it did improve infant growth even when mothers’ depression was not reduced. The study suggests that focusing on maternal caretaking of infants, even when mothers are depressed, is critical in future interventions.
AI Innovations Methodology
The study mentioned in the description focuses on the impact of home visits by community health workers (CHW) on improving growth outcomes for children of antenatally depressed mothers in South Africa. The results showed that the intervention, known as The Philani Intervention Program (PIP), improved infant growth even when mothers’ depression was not reduced.

To simulate the impact of recommendations on improving access to maternal health, a methodology could be developed as follows:

1. Identify the recommendations: Based on the study findings and other relevant research, identify specific recommendations that can improve access to maternal health. For example, one recommendation could be to increase the number of trained community health workers who can provide home visits and support to pregnant women.

2. Define the target population: Determine the specific population that the recommendations aim to benefit. This could include pregnant women in a particular region or community.

3. Collect baseline data: Gather data on the current state of maternal health access in the target population. This could include information on the number of pregnant women receiving prenatal care, rates of antenatal depression, and growth outcomes for infants.

4. Develop a simulation model: Create a simulation model that incorporates the recommendations and their potential impact on improving access to maternal health. This model should consider factors such as the number of community health workers needed, the frequency and duration of home visits, and the expected outcomes for maternal health and infant growth.

5. Input data and run simulations: Input the baseline data into the simulation model and run multiple simulations to assess the potential impact of the recommendations. This could involve varying parameters such as the number of community health workers or the intensity of the intervention to determine the most effective approach.

6. Analyze results: Analyze the results of the simulations to determine the potential impact of the recommendations on improving access to maternal health. This could include assessing changes in the number of pregnant women receiving prenatal care, reductions in antenatal depression rates, and improvements in infant growth outcomes.

7. Refine and validate the model: Refine the simulation model based on the results and feedback from experts in the field. Validate the model by comparing the simulated outcomes with real-world data, if available.

8. Communicate findings: Present the findings of the simulation study to relevant stakeholders, such as policymakers, healthcare providers, and community organizations. Highlight the potential benefits of implementing the recommendations and provide evidence-based support for their implementation.

By following this methodology, researchers and policymakers can gain insights into the potential impact of recommendations on improving access to maternal health and make informed decisions about implementing interventions to address this important issue.

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