Women’s perception of support and control during childbirth in the Gambia, a quantitative study on dignified facility-based intrapartum care

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Study Justification:
– The Gambia has a high maternal mortality rate and low percentage of deliveries conducted by skilled birth attendants.
– Poor provider attitude has been identified as a contributing factor to the lack of skilled care during childbirth.
– This study aims to explore women’s perception of support and control during childbirth in The Gambia.
Study Highlights:
– The study used a quantitative, cross-sectional descriptive approach.
– Convenience sampling was used to select participants in two regions in The Gambia.
– A sample size of 200 women was recruited.
– Women’s perceptions of support and control were found to be low.
– Factors such as age, mode of delivery, educational status, and place of delivery significantly predicted women’s perception of support and control.
Study Recommendations:
– Create an environment that promotes women feeling a sense of control and support during childbirth.
– Provide effective training for skilled birth attendants on non-pharmacological pain management.
– Improve communication with clients and promote women’s participation in decision-making regarding their care during childbirth.
Key Role Players:
– Skilled birth attendants
– Government officials
– Healthcare administrators
– Community leaders
– Non-governmental organizations
Cost Items for Planning Recommendations:
– Training programs for skilled birth attendants
– Communication tools and resources
– Community engagement initiatives
– Monitoring and evaluation systems
– Research and data collection tools
– Advocacy and awareness campaigns

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is based on a quantitative, cross-sectional descriptive study design, which provides a moderate level of evidence. The study employed a convenience sampling method, which may introduce bias and limit the generalizability of the findings. To improve the strength of the evidence, future studies could consider using a more rigorous sampling method, such as random sampling, to ensure a representative sample. Additionally, conducting a longitudinal study design could provide more robust evidence by capturing changes in women’s perception of support and control during childbirth over time.

Background: In The Gambia, a woman faces 1 in 24-lifetime risk of maternal death due to pregnancy and childbirth, yet, only 57% of deliveries are conducted by skilled birth attendants. However, poor provider attitude has been identified as one of the contributing factors hampering the efforts of the government in improving access to skilled care during childbirth. This study, therefore, explored women’s perception of support and control during childbirth in The Gambia. Methods: A descriptive cross-sectional study was employed. A convenience sampling method was used to select participants in two regions in The Gambia. A sample size of 200 women who met the eligibility criteria was recruited after informed consent. The demographic-obstetric information sheet and the Support and Control in Birth scale (SCIB) were used to collect data. Data analysis was done using SPSS software version 23.0. Results: Women’s perceptions of support and control were low. External control 1.85 (SD ± 0.43) recorded the least perception compared to internal control 2.41 (SD ± 0.65) and perception of support 2.52 (SD ± 0.61). Participants reported the lowest perceptions in pain control, involvement in decision making, information sharing and the utilization of different position during birth. Women’s age (p <.001) and mode of delivery (p =.01), significantly predicted women's perception of internal control. Educational status (p =.02), mode of delivery (p =.04), place of delivery (p <.001) and perception of support (p <.001) significantly predicted women's perception of external control, whilst birth plan (p =.001), mode of delivery (p =.04), and perception of external control (p <.001) significantly predicted women's perception of support. Conclusion: This study concluded that an environment that promotes women feeling a sense of control and support during childbirth should be created in order to ensure a dignified intrapartum care in The Gambia. This can be achieved through effective training of skilled birth attendants on non-pharmacological pain management, effective communication with clients and promoting women's participation in decision-making regarding their care throughout the process of childbirth.

A quantitative, cross-sectional descriptive approach was employed. Due to the limited time available and the lack of funding to conduct this study, convenience sampling was used to select the study areas and recruit participants, between August 2016 and September 2016, at three major health centers in Western and Lower River Regions in The Gambia. Western Region is located in the western part of The Gambia, with nearly 75% of the total population [14] and the highest number of deliveries (approximately 27,200 per year) [15]. Lower River Region which is in the southern part of the country has a population of 82,361 [14] and a number of about 2000 deliveries annually [15]. Based on the two stated objectives to this paper; (1) to assess women’s perception of support and control during childbirth; (2) to identify related factors influencing perceptions of support and control during childbirth, the researchers calculated a sample size that will achieve both the descriptive and inferential statistics needed to analyze the data. The researchers used a 95% confidence level, an estimated number of deliveries of 29,200 per year in Western and Lower River Regions [14, 15], an estimated confidence interval of 10% from a previous study on a similar population [16] and a 10% non-response rate. The minimum sample size required for the descriptive statistics was 165 participants. The G-power 3.1.9.2 was used to calculate the sample size for the inferential statistics using an F test, a linear multiple regression with fixed model and R2 increase, effect size of 0.2, alpha of 0.05, a power (1-β err prob) of 0.95, 9 predictors (all tested), and a 10% non-response rate. A minimum sample size of 140 participants was required. However, we recruited 200 participants in this study to ensure that all statistical analysis for the two research objectives required were achieved. The predictors used in this study included the independent variables (demographic and obstetric characteristics of participants). The operational definitions of these predictors are clearly stated in the research instrument section in this paper. Women between the ages of 18 and 35 years, with no medical or obstetric complication during pregnancy, were eligible to participate. They were also eligible if admitted for at least 3 h in a public major health facility in Western and Lower River Regions prior to delivery. Women with multiple pregnancies and those who delivered before arrival at the health facility were excluded. Ethics approval was obtained from The Gambia government and Medical Research Council ethics committee, reference number R016005. A demographic-obstetric questionnaire (Additional file 1) and the Support and Control in Birth (SCIB) scale (Additional file 2) were used to obtain participants’ information. The structured demographic-obstetric questionnaire was developed by the researcher based on evidence. That is, the variables that were included in the questionnaire such as age, education, place of delivery, marital status, parity, number of antenatal attendance and birth plan were selected based on similar studies [17–22]. Participants in this study were classified as either married or single. The married participant was classified as being in monogamous or polygamous families, and those not married were single, cohabitating, or widowed. Age of participants ranges from 18 to 35 years, participants ages were grouped as 24 years and below and 25 years and above. This age cut-off was based on a previous study by Aitken and colleagues [23]. Educated participants were those with primary education or above, and those uneducated have no formal education. The parity of participants’ ranges from 1 to 4, primiparous were participants who have given birth for the first time and multiparous were those having given birth two or more times. Birth planning is one of the components of antenatal care in The Gambia and in this study, a participant who had a birth plan is one who was educated on a birth preparedness plan and complication readiness in one or more antenatal visits during pregnancy. Participants ethnicities in this study are those found in The Gambia [14]. The Support and Control in Birth (SCIB) scale was developed by Ford et al. [22]. It is a 33-item scale with three subscales, namely; internal control, external control, and support. Internal control subscale assessed participants’ ability to control oneself during childbirth including events such as pain, emotion, behavior, physical functioning and thoughts through their own efforts. The external control subscale assessed participants’ control over events being controlled by external forces such as pain relief (comfort measures or analgesic), information, environment, decisions and procedures, and birth outcome. The support subscale assessed coaching, coping techniques, staff attitude, empathy, understanding and reassurance, encouragement, listening to women’s wishes, informational support, and physical support for pain relief. The SCIB scale is a 5-point Likert scale with responses ranging from completely agree to completely disagree, the middle number (3) representing neither agree nor disagree. The 5-point response scale ranges from 1 to 5, with high scores indicating more support or control, low scores indicating less support or control, and a score of 3 indicating an average support or control. Negative items in the scale were reversed scored. The scale has an overall Cronbach’s alpha coefficient of 0.95, internal subscale (0.86), external subscale (0.93) and the support subscale (0.93) [22]. It was tested by Ford et al. (2009) and the psychometric properties were compared well with other published scale of the same field, notably, the Labour Agentry Scale [22]. Similarly, the scale was used by Inci, Gokce, and Tanhan (2015), to develop and validate a Turkish version of the SCIB scale, which was concluded to be reliable and valid with an internal consistency coefficient of 0.86 [24]. All the variables explained in the subscales are incorporated in the health system of the Gambia as per WHO standard. However, as a result of the difference in demography and culture, the SCIB scale was adapted and it was pretested to ensure consistency. The Cronbach’s alpha for the total scale was 0.78, internal control subscale was 0.78, external control subscale was 0.75 and support subscale was 0.81. The Cronbach’s alpha in this study is lower compared to a study conducted in the United Kingdom, to measure maternal perception of support and control during childbirth [22]. The inter-items correlation indicated an increase in the Cronbach’s Alpha if items such as “I was overcome by the pain” and “I gained control by working with my body” in the internal control subscale and “I could get up and move around as much as I wanted” in the external control subscale, were deleted. There was no irrelevant item in the support subscale. Cultural beliefs and demography of participants may be responsible for the difference in the Cronbach’s Alpha of the two studies. In each health facility, participants admitted more than 3 h post- delivery in the postnatal ward for observation, and who met the eligibility criteria and signed the consent form, were invited to participate. As a result of the low literacy rate among women in The Gambia, the questionnaires were administered to the eligible participants that were in the ward at the time of data collection and are willing to participate using the face-to-face interview. SPSS statistical software version 23.0 was used to analyze the data. Frequency distributions, mean and standard deviation were used to analyze participants’ demographic-obstetric characteristics and perceptions of support and control during childbirth. As a result of the non-normal data, non-parametric tests such as Mann-Whitney U test, Kruskal-Wallis H test and Spearman’s rho correlation were used to compare difference in participants’ demographic-obstetric characteristics and perceptions of support and control during childbirth, and relationship between perceptions of support and control during childbirth. Linear multiple regression was used to analyze participants’ demographic-obstetric characteristics predicting perceptions of support and control during childbirth.

Based on the information provided, here are some potential innovations that could be used to improve access to maternal health:

1. Mobile Health (mHealth) Applications: Develop mobile applications that provide pregnant women with information and resources related to prenatal care, childbirth, and postnatal care. These apps can also include features such as appointment reminders, medication reminders, and access to telemedicine consultations.

2. Telemedicine: Implement telemedicine services to provide remote consultations and support for pregnant women, especially those in rural or underserved areas. This can help overcome geographical barriers and improve access to skilled care during childbirth.

3. Community Health Workers: Train and deploy community health workers who can provide education, support, and basic prenatal and postnatal care to pregnant women in their communities. These workers can also serve as a bridge between the community and formal healthcare providers.

4. Birth Preparedness and Complication Readiness Programs: Develop and implement programs that educate pregnant women and their families about the importance of birth preparedness and complication readiness. This can include information on creating a birth plan, recognizing danger signs during pregnancy and childbirth, and knowing when and where to seek skilled care.

5. Quality Improvement Initiatives: Implement quality improvement initiatives in healthcare facilities to address poor provider attitudes and ensure a supportive and respectful environment for women during childbirth. This can involve training healthcare providers on effective communication, pain management techniques, and involving women in decision-making.

6. Public-Private Partnerships: Foster collaborations between the government, private sector, and non-profit organizations to improve access to maternal health services. This can involve leveraging private sector resources and expertise to strengthen healthcare infrastructure, increase the availability of skilled birth attendants, and improve the quality of care.

It is important to note that these recommendations are general and may need to be tailored to the specific context and needs of The Gambia.
AI Innovations Description
Based on the study’s findings, the following recommendation can be developed into an innovation to improve access to maternal health:

1. Create an environment that promotes women’s sense of control and support during childbirth: This can be achieved by implementing training programs for skilled birth attendants on non-pharmacological pain management techniques, effective communication with clients, and promoting women’s participation in decision-making regarding their care throughout the process of childbirth.

2. Improve provider attitudes: Addressing poor provider attitudes towards pregnant women can significantly contribute to improving access to skilled care during childbirth. This can be done through sensitization programs, continuous professional development, and regular monitoring and evaluation of provider performance.

3. Enhance pain management strategies: Develop and implement comprehensive pain management strategies that include non-pharmacological approaches, such as relaxation techniques, breathing exercises, and different positions during birth. This can help alleviate women’s pain and improve their overall childbirth experience.

4. Strengthen antenatal care services: Emphasize the importance of birth planning and complication readiness during antenatal care visits. Educate women about the benefits of having a birth plan and involve them in decision-making regarding their care. This can help women feel more prepared and empowered during childbirth.

5. Promote community awareness and engagement: Conduct community outreach programs to raise awareness about the importance of skilled care during childbirth and the rights of women to receive dignified intrapartum care. Engage community leaders, traditional birth attendants, and other stakeholders to promote a supportive and enabling environment for maternal health.

By implementing these recommendations, it is expected that access to maternal health will be improved, leading to a reduction in maternal mortality and morbidity rates in The Gambia.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations to improve access to maternal health:

1. Improve provider attitude: Addressing the issue of poor provider attitude can significantly improve access to skilled care during childbirth. This can be achieved through training programs that focus on improving communication skills, empathy, and understanding towards pregnant women.

2. Enhance non-pharmacological pain management: Effective training of skilled birth attendants on non-pharmacological pain management techniques can help women feel more in control during childbirth. This can include techniques such as breathing exercises, relaxation techniques, and massage.

3. Promote women’s participation in decision-making: Empowering women to actively participate in decision-making regarding their care throughout the process of childbirth can improve their perception of support and control. This can be achieved through education and awareness programs that emphasize the importance of women’s rights and autonomy in healthcare decision-making.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could include the following steps:

1. Define the variables: Clearly define the variables that will be measured, such as women’s perception of support and control during childbirth, provider attitude, non-pharmacological pain management techniques, and women’s participation in decision-making.

2. Collect baseline data: Collect baseline data on the current state of access to maternal health, including women’s perception of support and control, provider attitude, and current practices related to pain management and decision-making.

3. Implement interventions: Implement the recommended interventions, such as training programs for providers, education programs for women, and the introduction of non-pharmacological pain management techniques.

4. Collect post-intervention data: After implementing the interventions, collect data on the impact of these interventions on women’s perception of support and control, provider attitude, and changes in practices related to pain management and decision-making.

5. Analyze the data: Use statistical analysis software, such as SPSS, to analyze the collected data. Compare the baseline data with the post-intervention data to determine the impact of the interventions on improving access to maternal health.

6. Draw conclusions: Based on the analysis of the data, draw conclusions about the effectiveness of the interventions in improving access to maternal health. Identify any limitations or areas for further improvement.

7. Make recommendations: Based on the findings, make recommendations for further interventions or improvements that can be implemented to continue improving access to maternal health.

It is important to note that this methodology is a general framework and may need to be adapted based on the specific context and resources available for the study.

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