Knowledge, attitude, and practice of preconception care and associated factors among obstetric care providers working in public health facilities of West Shoa Zone, Ethiopia: A cross-sectional study

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Study Justification:
The study aimed to assess the knowledge, attitude, and practice of preconception care (PCC) among obstetric care providers in West Shoa Zone, Ethiopia. This study was justified by the reported poor knowledge and practice of PCC among health care providers in Ethiopia. By understanding the current situation, the study aimed to identify factors associated with knowledge and practice of PCC, which can inform interventions to improve preconception care services.
Highlights:
– The study found that more than half of the obstetric care providers had poor knowledge of preconception care, while two-thirds had a favorable attitude towards it.
– Midwives and providers with training on HIV testing had higher odds of good knowledge about preconception care.
– The presence of a library and internet access in the working health facility was associated with higher odds of good knowledge about preconception care.
– Degree and above holders had higher odds of good preconception knowledge compared to diploma holders.
– Health care providers who did screening for reproductive life plans, worked in maternity and child health units, and perceived that all health facilities and providers should provide preconception care had higher odds of good practice of preconception care.
Recommendations:
– Provision of training: Training programs should be developed and implemented to improve the knowledge and practice of preconception care among obstetric care providers. This can include specific training on topics such as HIV testing and reproductive life plans.
– Career development: Opportunities for career development should be provided to obstetric care providers to enhance their knowledge and skills in preconception care.
– Installation of internet and library services: Health facilities should prioritize the installation of internet and library services to improve access to information and resources related to preconception care.
Key Role Players:
– Ministry of Health: The Ministry of Health should play a key role in developing and implementing training programs for obstetric care providers and ensuring the availability of resources for preconception care.
– Health facility administrators: Administrators of health facilities should prioritize the installation of internet and library services to support the knowledge and practice of preconception care.
– Professional associations: Professional associations of obstetric care providers can play a role in advocating for the importance of preconception care and providing guidance on best practices.
Cost Items for Planning Recommendations:
– Training programs: Budget should be allocated for the development and implementation of training programs for obstetric care providers. This can include costs for curriculum development, training materials, and trainers’ fees.
– Career development: Resources should be allocated for career development opportunities, such as workshops, conferences, and continuing education programs.
– Installation of internet and library services: Budget should be allocated for the installation and maintenance of internet and library services in health facilities. This can include costs for equipment, internet subscriptions, and library resources.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is based on a cross-sectional study conducted among 359 obstetric care providers in West Shoa Zone, Ethiopia. The study used a stratified, simple random sampling technique and collected data using pretested and structured questionnaires. Bivariate and multivariate logistic regressions were employed to identify associations between independent predictors and outcome variables. The study found that more than half of the obstetric care providers had poor knowledge, favorable attitude, and poor practice of preconception care. The evidence is based on a relatively large sample size and statistical analysis, which adds to its strength. However, the study design is cross-sectional, which limits the ability to establish causality. To improve the evidence, future research could consider using a longitudinal design to assess changes in knowledge, attitude, and practice over time. Additionally, qualitative methods could be incorporated to gain a deeper understanding of the factors influencing preconception care among obstetric care providers.

Preconception care is biomedical, social, and behavioural care provided for a woman or couple before conception occurs or throughout their reproductive year. In Ethiopia, it’s reported that the majority of health care providers had poor knowledge and practice of preconception care. The institution-based cross-sectional study was conducted among 359 obstetric care providers to assess knowledge, attitude, and practice of preconception care in West Shoa Zone, Ethiopia. A stratified, simple random sampling technique selected five hospitals, 46 health centers, and study participants. Pretested and structured questionnaires were used to collect data. Data were entered into Epidata and exported to SPSS for analysis. Bivariate and multivariate logistic regressions were employed to identify an association between the independent predictors and the outcome variables. In this study, 173 (48.2%) and 124(34.5%) of the obstetric care providers had good knowledge and practice of preconception care, respectively. Two-thirds 255(71%) of providers had a favorable attitude toward preconception care. The odds of having good knowledge were higher among Midwives’ providers [AOR: 2.03, 95%CI: 1.09-3.77] and had training on HIV testing [AOR: 3.5, 95%CI: 1.9-6.4]. The presence of a library [AOR: 1.7, 95%CI: 1.04-2.85] and internet access [AOR: 3.4, 95%CI: 2.0-5.8] in working health facility had a higher odds of good knowledge about preconception. Degree and above holders [AOR: 3.1, 95%CI: 1.5-6.1] also had higher odds of good preconception knowledge than diploma holders. Similarly, the odds of having good practice of preconception care were higher among health care providers: who did screening for reproductive life plans [AOR: 3.7, 95%CI:1.8-7.4], worked in maternity and child health unit [AOR:4.2,95%CI:2.0-8.6], perceive all health facilities should give preconception care services [AOR:2.3,95%CI:1.2-4.3], and perceive all health care providers should provide preconception services [AOR:3.0, 95%CI: 1.7-5.5]. This study found that more than half of obstetric care providers’ had poor knowledge, favorable attitude, and poor practice of preconception care. Provision of training, carrier development, and installation of internet and library services should be enhanced.

An institution-based cross-sectional study was conducted in West Shoa Zone, Oromia regional state, from August 1 to September 8, 2021. West Shoa Zone is one of the zones in the Oromia Region of Ethiopia. Its administrative city is Ambo town, located 114 kilometers away from the capital city of Ethiopia, Addis Ababa. The West Shoa Zone has 9 Public Hospitals, 92 health centers, and 529 health posts. About 1,085 obstetric care providers were working in maternity and reproductive care units of the Zone. Among those 11 were Obstetricians and Gynecologists, 21 Integrated Emergency Surgical Officers (IESO), 38 General Practitioners, 426 Midwives, 467 nurses, and 222 Health Officers. About 268 OBCPs worked in hospitals during the data collection period, while 817 worked in Health Centers. All obstetric care providers working in the public health facilities of West Shoa Zone during the study period were considered the source population. In contrast, all obstetric care providers working in West Shoa Zone’s selected public health facilities were considered the study population. In addition to this, all obstetric care providers working in public health facilities of West Shoa Zone during the data collection period were included in the study, and those OBCPs who served for less than six months were excluded from the study. The sample size for the first two specific objectives: to determine knowledge and preconception care practice among obstetrics care providers, was calculated by a single population proportion formula n = (Z α/2)2 P (1-P)/d2 based on the following assumptions: the proportion (P) of knowledge and practice were 31% [11] and 19.2% [15] respectively which was taken from the previous studies, 95% confidence level of Z α/2 = 1.96, 5% of absolute precision. Thus, a 10% non-response rate gave 362 and 262, respectively, and the final sample size became 362. The facilities were stratified into hospitals and health centers. With a simple random sampling technique, 5(N = 157) hospitals and 46(N = 401) health centers were selected. The sample was allocated to each stratum proportionally based on the number of health care providers working at the selected hospitals and health centers, 157/558*362 = 102 OBCPs from hospitals and 401/558*362 = 260 OBCPs from health centers. Then, a simple random sampling technique was used to select study participants. The data were collected using structured self-administered questionnaires. The questionnaire was adapted from a previous study conducted in Ethiopia [11] and had five sections (socio-demographic information, knowledge, attitude and practice, and associated factors of preconception care questions). The knowledge section had 15 knowledge-related questions. A 1 and 0 were given for correct and incorrect answers, respectively. Then, HCPs who scored ≥ 50th percentile were considered good knowledge of PCC. The practice section had 34 questions with three PCC practice components measuring the frequency of practice in the last six months of the period. Each question have an option response of never = 0, rarely = 1, sometimes = 2, often = 3, and always = 4. This gives a minimum score of 34*0 = 0 to the maximum score of 34*4 = 136. In this study, those OBCPs who scored ≥ 50% were considered good PCC practice; otherwise poor. Similarly, the OBCPs’ attitudes were assessed by their level of agreement on nine questions using the Likert scale. Those OBCPs who scored 60% and above the possible maximum score were considered OBCPs with a favorable attitude towards PCC; otherwise, they were considered OBCPs with an unfavorable attitude toward PCC. The questionnaires were disseminated to the OBCPs and facilitated by six trained graduated unemployed nurses and supervised by two senior BSc midwives. To assure quality of the study, data collectors and supervisors were given two days of training about the study materials and data collection procedures. Before actual data collection, the study tool was pre-tested among 18 OBCPs working at Tulu Bolo hospital in South West Shoa Zone, Ethiopia. The tool’s reliability was checked for its internal consistency with a Cronbach’s α test, 0.802 and 0.97 for knowledge and practice, respectively. Moreover, the completeness and consistency of the collected data were reviewed and checked by supervisors and investigators. Obstetric care providers. Certified obstetricians and gynecologists, general practitioners, integrated emergency surgical officers, nurses, midwives, and public health officers working in maternal and reproductive health care units [16]. Knowledge of PCC. Respondents who scored less than the 50th percentile of the knowledge-related items were categorized as HCPs with `poor PCC knowledge.’ In contrast, HCPs who scored ≥ 50th percentile were considered good knowledge of PCC [12]. Attitude towards PCC. Attitude was measured using nine questions with possible five-point Likert scale responses. Those OBCPs who scored 60% and above the possible maximum score [5*9 = 45] were considered OBCPs with a favorable attitude towards PCC; otherwise, they were considered OBCPs with unfavorable attitudes towards PCC. OBCP’s PCC practice. OBCPs who scored < 50% of PCC practice items were classified as practitioners demonstrating poor PCC practice. Those OBCPs who scored ≥ 50% were considered good PCC practice [14]. The collected data were cleaned, coded, and entered into the Epidata version 3.1 and exported to SPSS version 20. Coding was reversed in negative statements. The frequency, proportion, mean, and standard deviation were performed for dependent and independent variables. Binary logistic regression was done to identify candidate variables for multiple logistic regressions. Then those candidate variables were analyzed with multivariate logistic regression, and those variables at a p-value of < 0.05 were considered to have a statistically significant association with the outcome variables. Odds ratios with 95%CI were used to test the strength of association. Multicollinearity assumption was checked by the variance inflation factor (VIF) of < 1.2, which indicated a less likely correlation between independent variables. The models’ goodness of fit was tested using the Hosmer-Lemeshow test, and it was a good fit. The ethical approval was obtained from Ambo University ethical review board. Written Informed consent was obtained from each participant. The participants were assured that participation in the study was voluntary and that they could withdraw during the study. The collected raw data was kept confidential in a secure place, and the names of the participants were not written in the study record. Participants’ rights to anonymity and confidentiality were fully protected. All of the information given by participants was recorded in a manner that did not link the respondents with the data.

Based on the provided information, here are some potential recommendations to improve access to maternal health:

1. Strengthen training programs: Provide comprehensive training on preconception care for obstetric care providers, with a focus on improving knowledge and practice. This can include training on topics such as HIV testing, reproductive life plans, and the importance of preconception care.

2. Enhance infrastructure: Improve access to information and resources by establishing libraries and internet access in health facilities. This can support obstetric care providers in accessing up-to-date information and guidelines related to preconception care.

3. Promote career development: Encourage obstetric care providers to pursue higher education degrees, such as bachelor’s or master’s degrees, to enhance their knowledge and skills in preconception care. This can be done through scholarship programs or professional development opportunities.

4. Increase awareness and advocacy: Conduct awareness campaigns to promote the importance of preconception care among both healthcare providers and the general population. This can help create a supportive environment and increase demand for preconception care services.

5. Strengthen collaboration: Foster collaboration between different healthcare providers, including obstetricians, gynecologists, general practitioners, midwives, and nurses, to ensure comprehensive and coordinated preconception care services. This can be achieved through regular meetings, joint training programs, and shared protocols and guidelines.

6. Improve access to preconception care services: Ensure that all health facilities, including hospitals and health centers, are equipped to provide preconception care services. This can involve integrating preconception care into existing maternal and child health units and ensuring that all healthcare providers are trained to provide preconception care services.

7. Monitor and evaluate: Establish a system for monitoring and evaluating the implementation of preconception care services. This can help identify gaps and challenges, and inform future improvements and interventions.

It is important to note that these recommendations are based on the specific findings and context of the study mentioned. Further research and contextual analysis may be needed to tailor these recommendations to specific settings and populations.
AI Innovations Description
Based on the study conducted in West Shoa Zone, Ethiopia, the following recommendations can be made to improve access to maternal health:

1. Enhance knowledge and training: It is important to provide comprehensive training on preconception care to obstetric care providers. This training should cover topics such as the importance of preconception care, screening for reproductive life plans, and HIV testing. Midwives and providers with higher education levels should be prioritized for training.

2. Improve access to information: The presence of a library and internet access in health facilities can significantly contribute to improving knowledge about preconception care. Therefore, efforts should be made to ensure that health facilities have access to up-to-date resources and internet connectivity.

3. Strengthen career development: Investing in the professional development of obstetric care providers can lead to improved knowledge and practice of preconception care. This can be achieved through continuous education programs, workshops, and conferences that focus on maternal health and preconception care.

4. Enhance infrastructure: Health facilities should be equipped with necessary resources and infrastructure to support the provision of preconception care. This includes ensuring that facilities have the necessary equipment, supplies, and trained staff to deliver quality care.

5. Promote a positive attitude: Efforts should be made to promote a favorable attitude towards preconception care among obstetric care providers. This can be achieved through awareness campaigns, workshops, and discussions that highlight the importance of preconception care in improving maternal health outcomes.

6. Strengthen collaboration: Collaboration between different stakeholders, including healthcare providers, policymakers, and community organizations, is crucial for improving access to maternal health. By working together, they can develop and implement strategies that address barriers to accessing preconception care and improve overall maternal health outcomes.

By implementing these recommendations, it is possible to develop innovative approaches that improve access to maternal health and ensure better outcomes for women and their babies.
AI Innovations Methodology
Based on the provided study, here are some potential recommendations for improving access to maternal health:

1. Strengthen training programs: Enhance training programs for obstetric care providers, particularly focusing on preconception care. This can include providing comprehensive knowledge and skills related to preconception care, including screening for reproductive life plans and HIV testing.

2. Improve infrastructure: Increase the availability of resources such as libraries and internet access in health facilities. This can support obstetric care providers in accessing up-to-date information and guidelines on preconception care, thereby improving their knowledge and practice.

3. Promote collaboration: Encourage collaboration between different healthcare providers and units, such as maternity and child health units. This can help ensure that preconception care services are integrated into routine maternal healthcare, leading to improved access and practice.

4. Career development opportunities: Provide opportunities for career development and continuous education for obstetric care providers. This can include workshops, seminars, and conferences focused on preconception care, enabling providers to stay updated with the latest advancements and best practices.

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

1. Baseline data collection: Gather data on the current knowledge, attitude, and practice of preconception care among obstetric care providers in the target population. This can be done through surveys or interviews.

2. Intervention implementation: Implement the recommended interventions, such as training programs, infrastructure improvements, collaboration initiatives, and career development opportunities. Ensure that these interventions are well-documented and monitored.

3. Post-intervention data collection: After a suitable period of time, collect data again on the knowledge, attitude, and practice of preconception care among obstetric care providers. This will provide information on the impact of the interventions.

4. Data analysis: Analyze the pre- and post-intervention data to assess the changes in knowledge, attitude, and practice of preconception care. This can be done using statistical methods such as bivariate and multivariate logistic regressions to identify associations and calculate odds ratios.

5. Evaluation and interpretation: Evaluate the impact of the interventions on improving access to maternal health by comparing the pre- and post-intervention data. Interpret the findings to determine the effectiveness of the recommendations in improving access to maternal health.

6. Recommendations and future steps: Based on the evaluation, make recommendations for further improvements or modifications to the interventions. This can include scaling up successful interventions, addressing any identified gaps or challenges, and planning for future initiatives to sustain and enhance access to maternal health.

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