Background: Family planning involves the use of traditional or modern methods to prevent maternal and infant mortality associated with unintended pregnancies and negative economic outcomes. In sub-Saharan Africa, the unmet need for modern family planning is approximately 66%. However, information on factors affecting utilization of female family planning commodities is limited. Therefore, this research was conducted to bridge this gap. Methods: Health facility-based descriptive cross-sectional research design was conducted and involved the public health facilities offering family planning, targeting respondents who handle the commodities and service providers themselves. A semi-structured questionnaire was used to collect data about availability of the commodities, knowledge of service providers and barriers affecting provision of the service. Data were coded and analyzed via Microsoft Excel 2019 and SPSS version 20. Results: The study showed that shorter term methods were more readily available, 60–75% than the long-term methods, 20–60%. Approximately 60% of the service providers did not comprehensively utilize the recommended World Health Organization Medicine Eligibility Criteria (WHO MEC) during service provision. Stock outs, myths and misconceptions, male interference and culture were the major barriers identified. Conclusion: Provision of family planning commodities in public health facilities in Kajiado county is affected by stock levels at the national program, and provider knowledge on WHO MEC. The key factors affecting provision of family planning were stock outs, myths and misconceptions on the contraceptives, inadequate male involvement and inadequate community engagement on potential benefits of the service. These challenges need to be part of the solutions to bridging the gap identified.
Data were collected from October to December 2021 within selected public health facilities in Kajiado county, located in the southern part of Kenya. It covers an area of approximately 21,900 km2. Administratively, it is subdivided into 5 sub counties with an approximate population of 1,117,840 people as per the 2019 census and a total of 110 public facilities offering family planning services. The study adopted a descriptive cross-sectional design using semi-structured questionnaires to capture the required data. The study population comprised 86 health care workers responsible for family planning commodities in the pharmacy and 85 family planning service providers. The sample size was 86 facilities which were obtained using Yamane’s formula that provides a 95% confidence interval. These facilities were stratified as per the Kenya essential package of health (KEPH). They included dispensaries, health centers, sub county hospitals and referral hospitals. For the female family planning commodities, six products were assessed in each health facility; combined oral contraceptive pills (COCs), progestin only pills (POPs), deoxy medroxyprogesterone acetate (DMPA) injection, etonogestrel implants, levonorgestrel implants and intra-uterine contraceptive devices (IUCDs). All the hospitals were sampled, due to the few numbers in that KEPH level. For the health centers and dispensaries, systematic sampling was done guided by proportions in each tier. Semi-structured questionnaire was used to collect the data. It had several variables categorized as biodata, types of health commodities and duration of stock outs. To assess knowledge, the WHO MEC was used to assess the key steps of family planning provision which also incorporated any challenges that they may be facing as well. The questionnaire was pre-tested and validated to check for reliability before conducting the actual data collection. Research assistants were trained on how to how to ask questions and fill the questionnaire. This was followed by pre-testing of the tool where respondents from nine facilities drawn from the pharmacy, and family planning clinics were involved. Adjustments were done on the questionnaire to make it more comprehensive. The principal investigator printed the revised questionnaire and sent it to the consenting respondents who filled it as appropriate. A physical site visit was then conducted by the researcher and assistants, to access the bin cards for purposes of assessing the stock status and getting the challenges faced during service provision by the respondents. The filled questionnaires were collected concurrently for further processing. Quantitative data were entered, cleaned, and coded using Microsoft excel 2019 prior to the analysis. Descriptive statistics were used to analyze data and data were presented using frequency and percentage using the SPSS version 20.
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