Effect of guided counseling on nutritional status of pregnant women in West Gojjam zone, Ethiopia: A cluster-randomized controlled trial

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Study Justification:
– Undernutrition during pregnancy negatively affects birth outcomes.
– Despite nutrition counseling, maternal undernutrition is still high in Ethiopia.
– This study aimed to assess the effect of guided counseling on the nutritional status of pregnant women.
Highlights:
– Two-arm parallel cluster-randomized controlled trial conducted in West Gojjam Zone, Ethiopia.
– 694 pregnant women recruited from intervention and control clusters.
– Guided counseling using the health belief model and theory of planned behavior was provided to the intervention group.
– Control group received routine nutrition education from the healthcare system.
– Nutritional status assessed using mid-upper arm circumference (MUAC).
– After the intervention, the prevalence of undernutrition was 16.7% lower in the intervention group compared to the control group.
– Women in the intervention group showed significant improvement in nutritional status compared to the control group.
Recommendations:
– Design model and theory-based nutrition counseling guidelines.
– Implement guided counseling using the health belief model and theory of planned behavior for pregnant women.
– Incorporate counseling sessions into routine antenatal care services.
Key Role Players:
– BSc nurses and MSc nutritionists as counselors and supervisors.
– Principal investigator for overall coordination and supervision.
– Data collectors for structured questionnaires.
– Counseling supervisors for monitoring and evaluation.
Cost Items for Planning Recommendations:
– Training of counselors and supervisors.
– Development and printing of counseling materials (leaflets).
– Transportation for counselors and data collectors.
– Data collection tools and equipment (MUAC tape).
– Monitoring and evaluation activities.
– Administrative and logistical support.

The strength of evidence for this abstract is 8 out of 10.
The evidence in the abstract is strong, but there are some areas for improvement. The study design is a cluster-randomized controlled trial, which is a robust design for evaluating interventions. The sample size calculation was based on power analysis and the study followed ethical guidelines. The intervention was well-described, and data collection procedures were detailed. The statistical analysis used appropriate methods to assess the intervention effect. However, the abstract could be improved by providing more information on the characteristics of the study population, such as age, education, and socioeconomic status. Additionally, it would be helpful to include the effect size and confidence intervals for the intervention effect. Finally, the abstract could mention any limitations or potential biases in the study.

Background: Undernutrition during pregnancy affects birth outcomes adversely. In Ethiopia, despite nutrition counseling on the maternal diet being given by the health workers during pregnancy, maternal undernutrition is still high in the country. Hence, this study aimed to assess the effect of guided counseling using the health belief model and the theory of planned behavior on the nutritional status of pregnant women. Methods: A two-arm parallel cluster randomized controlled community trial was conducted in West Gojjam Zone, Ethiopia, from May 1, 2018, to April 30, 2019. The nutritional status of the women was assessed using mid-upper arm circumference. A total of 694 pregnant women were recruited from the intervention (n=346) and control (n=348) clusters. Of which endline data were collected from 313 and 332 pregnant women in the intervention and control clusters, respectively. The intervention was started before 16 weeks of gestation and pregnant women in the intervention group attended 4 counseling sessions. Counseling was given at the participants’ homes using a counseling guide with the core contents of the intervention. Leaflets with appropriate pictures and the core messages were given for women in the intervention arm. Women in the control group got the routine nutrition education given by the health care system. Data were collected using interviewer administered structured questionnaires and mid-upper arm circumference was measured using an adult MUAC tape. Descriptive statistics and linear mixed-effects model were used to assess the intervention effect after adjusting for potential confounders. Results: After the intervention, the prevalence of undernutrition was 16.7% lower in the intervention group compared with the control arm (30.6% Vs 47.3%, P = < 0.001). Women in the intervention group showed significant improvement in nutritional status at the end of the trial than the control group (β = 0.615, p =  = 23 cm were considered normal nourished whereas participants with MUAC  17 food insecurity indicators were considered as food secure, mildly, moderately and severely food insecure households, respectively. The attitude, knowledge, subjective norms, intention, perceived susceptibility, severity, benefit, and barriers were assessed using the sum of their respective composite questions. The full description of data collation, measurements, the study area and participants described elsewhere [28]. Descriptive statistics were used to summarize the baseline socio-demographic characteristics of the women by group status. A chi-square test was performed to compare the baseline characteristics of the intervention and control groups. Comparisons of MUAC between and within the intervention and control groups were done using independent samples and paired sample t-tests, respectively. A per-protocol analysis was performed in this study. The per-protocol analysis includes all the study participants who adhered to the predetermined guideline. Therefore, in this study, women who attended four education sessions and gave endline data were included in the analysis. A linear mixed-effects model was used to determine the impacts of the intervention on changes in the nutritional status of pregnant women over time. This model enables to accommodate the correlation of observations due to the repeated measures (pre- and post-intervention) and the clustering of individuals within the 22 randomly selected clusters. During fitting the model, participants and clusters were analyzed as random effects. This model also enables to control the effects of potential confounding factors (food security, latrine utilization, education, family size, source of drinking water and age). The intercept-only model estimates the variance of the cluster-level residual errors as 0.0035 (variability of the average nutritional status across all clusters was 0.0035 and which wasn’t statistically significant (p = 0.90). The intra-cluster correlation coefficient was closer to zero (0.001) which showed that no need for fitting a third-level model. Therefore, the two-level model was fitted to account for time-invariant variables at the individual level. The effect of the intervention was evaluated by testing the interaction term between time and treatment allocation. All statistical analyses were performed using the SPSS package version 23.

The study mentioned in the description is titled “Effect of guided counseling on nutritional status of pregnant women in West Gojjam zone, Ethiopia: A cluster-randomized controlled trial.” It aimed to assess the effect of guided counseling using the health belief model and the theory of planned behavior on the nutritional status of pregnant women in Ethiopia. The study found that guided counseling was effective in improving the nutritional status of pregnant women, with a 16.7% lower prevalence of undernutrition in the intervention group compared to the control group.

Some key innovations used in this study to improve access to maternal health include:

1. Guided Counseling: The study implemented a counseling intervention using the health belief model and the theory of planned behavior. Pregnant women in the intervention group attended four counseling sessions, which focused on various aspects of nutrition during pregnancy.

2. Home-Based Counseling: The counseling sessions were conducted at the participants’ homes, making it more convenient and accessible for pregnant women. This approach eliminates the need for women to travel to healthcare facilities, which can be a barrier to accessing maternal health services in rural areas.

3. Counseling Guide and Leaflets: A counseling guide with core contents of the intervention was used during the counseling sessions. Additionally, leaflets with appropriate pictures and core messages were given to women in the intervention group. These materials served as visual aids and reminders for the women, reinforcing the counseling messages.

4. Cluster-Randomized Controlled Trial: The study used a cluster-randomized controlled trial design, where clusters (kebeles) were randomly assigned to either the intervention or control group. This design helps to minimize bias and ensures that the intervention is implemented and evaluated at the community level.

5. Fidelity Assessment: The study implemented a fidelity assessment to ensure that the intervention was delivered as intended. Criteria were established to assess intervention design, training of counselors, counseling process, receipt of intervention, and enactment of skills gained from the intervention. This assessment helps to maintain the quality and consistency of the intervention.

These innovations contribute to improving access to maternal health by providing targeted and personalized counseling to pregnant women in their own homes. By addressing the nutritional needs of pregnant women, this intervention can help improve birth outcomes and reduce the prevalence of undernutrition during pregnancy.
AI Innovations Description
The study titled “Effect of guided counseling on nutritional status of pregnant women in West Gojjam zone, Ethiopia: A cluster-randomized controlled trial” aimed to assess the impact of guided counseling using the health belief model and the theory of planned behavior on the nutritional status of pregnant women.

The study was conducted in West Gojjam Zone, Ethiopia, from May 1, 2018, to April 30, 2019. A total of 694 pregnant women were recruited from intervention and control clusters. The intervention group received guided counseling sessions, while the control group received routine nutrition education provided by the healthcare system. The nutritional status of the women was assessed using mid-upper arm circumference (MUAC).

The results of the study showed that the prevalence of undernutrition was 16.7% lower in the intervention group compared to the control group. Women in the intervention group demonstrated significant improvement in nutritional status at the end of the trial. The study concluded that guided counseling using the health belief model and the theory of planned behavior was effective in improving the nutritional status of pregnant women.

Based on these findings, the study recommends the design of model and theory-based nutrition counseling guidelines to improve access to maternal health. The use of guided counseling sessions, tailored to the specific needs of pregnant women, can help address undernutrition during pregnancy and improve birth outcomes. This approach can be implemented by healthcare providers and integrated into existing maternal health programs to enhance access to maternal health services and improve the overall well-being of pregnant women.
AI Innovations Methodology
Based on the provided information, the study titled “Effect of guided counseling on nutritional status of pregnant women in West Gojjam zone, Ethiopia: A cluster-randomized controlled trial” aimed to assess the impact of guided counseling using the health belief model and the theory of planned behavior on the nutritional status of pregnant women. The study was conducted in West Gojjam Zone, Ethiopia, from May 1, 2018, to April 30, 2019.

The methodology of the study involved a two-arm parallel cluster randomized controlled community trial. Clusters (kebeles) were taken as a unit of randomization. A total of 694 pregnant women were recruited from the intervention and control clusters. The intervention group received guided counseling sessions, while the control group received routine nutrition education given by the health care system. The nutritional status of the women was assessed using mid-upper arm circumference (MUAC). Data were collected using structured questionnaires and analyzed using descriptive statistics and a linear mixed-effects model.

The results of the study showed that the prevalence of undernutrition was 16.7% lower in the intervention group compared to the control group. Women in the intervention group showed significant improvement in nutritional status at the end of the trial. The study concluded that guided counseling using the health belief model and the theory of planned behavior was effective in improving the nutritional status of pregnant women.

To simulate the impact of these recommendations on improving access to maternal health, a similar methodology can be used. The study can be designed as a cluster-randomized controlled trial, where clusters (such as health facilities or communities) are randomly assigned to either the intervention group or the control group. The intervention can involve guided counseling sessions on maternal health, including topics such as nutrition, prenatal care, and birth preparedness. The control group can receive standard maternal health education provided by the health care system.

Data can be collected using structured questionnaires to assess the impact of the intervention on various outcomes, such as maternal health knowledge, utilization of prenatal care services, and birth outcomes. Descriptive statistics can be used to summarize the baseline characteristics of the participants, and statistical tests (such as chi-square test or t-test) can be used to compare the outcomes between the intervention and control groups.

To assess the impact of the intervention over time, a linear mixed-effects model can be used. This model can account for the correlation of observations due to repeated measures and the clustering of individuals within the clusters. Potential confounding factors can be controlled for in the model to determine the specific effect of the intervention on improving access to maternal health.

Overall, using a cluster-randomized controlled trial and appropriate statistical analysis, the impact of guided counseling or other recommendations on improving access to maternal health can be simulated and evaluated.

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