Healthcare Providers' Adherence to COVID-19 Prevention and Control Practices in Health Records and Information Management, Ghana.

Background: The impact of contracting coronavirus on healthcare providers (HCPs) affects their ability to combat the infection. The virus can be transmitted through droplets from sneezing, coughing, and yelling, making it essential for HCPs to plan ahead when dealing with patients with respiratory symptoms. The need to assess healthcare providers' perceived adherence to COVID-19 Prevention and Control Practices (PCP) in Health Records and Information Management is vital for optimizing healthcare operations and ensuring the safety of both patients and providers. This study assesses healthcare providers' perceived adherence to COVID-19 PCP in Health Records and Information Management. Subjects and Method. A cross-sectional survey was conducted to collect data from 1268 HCPs working in eight randomly selected hospitals across five regions in Ghana. The survey was carried out from May 15, 2022, to August 13, 2022. Simple random sampling was used to choose these eight facilities from a total of 204 hospitals. Within each facility, HCPs from various departments were selected using simple random sampling. The EpiInfo 7 software's StatCalc tool was used to choose a total sample size of 1268 from an estimated 4482 HCP-PR from the eight hospitals. Compliance with COVID-19 PCP was assessed using a 3-point scale, ranging from one (Yes always) to three (No). Cronbach's alpha reliability coefficient was used to examine the statistical reliability of the variables in the dataset. Cronbach's alpha was 0.73 overall, suggesting strong reliability. Bartlett's test for equal variances was used for comparative analysis of health facility and overall mean COVID-19 PCP in different areas of health facilities. IBM SPSS (version 23) statistical software was used for the data analysis process. Results: A total of 1268 HCP-PR participated in the survey, resulting in a 99.6% response rate. Findings reveal that 760 healthcare professionals who handle patients' records (HCP-PR), constituting 60%, consistently followed COVID-19 protocols in the registration and clinic preparation zones. Another 390 individuals (30.7%) adhered to these protocols occasionally, while 119 (9.4%) failed to comply. Similarly, in the filing area, 739 respondents (58.3%) consistently adhered to COVID-19 protocols, 358 (28.3%) occasionally did so, and 170 (13.4%) did not follow the protocols at all. Regarding handling health records cautiously, 540 participants (42.5%) always did, 448 (35.3%) did so sometimes, and 280 (22.2%) neglected these precautions. Additionally, 520 respondents (41.0%) consistently followed COVID-19 precautions when handling computers and other equipment, 393 (31.0%) did so occasionally, and 355 (28.0%) did not adhere to these precautions. Conclusion: The majority of respondents showed good compliance with COVID-19 protocol in the registration and clinic preparation areas. However, in the filing area, just over four out of every seven respondents consistently adhered to COVID-19 PCP. Additionally, four out of every seven participants did not comply with COVID-19 PCP when handling patients' records. Analysis reveals diverse adherence to COVID-19 PCP, and statistical tests show variable performance, highlighting standout health facilities.

Healthcare providers' perception towards utilization of health information applications and its associated factors in healthcare delivery in health facilities in Cape Coast Metropolis, Ghana.

BACKGROUND: Information and communication technology (ICT) has significantly advanced global healthcare, with electronic health (e-Health) applications improving health records and delivery. These innovations, including electronic health records, strengthen healthcare systems. The study investigates healthcare professionals' perceptions of health information applications and their associated factors in the Cape Coast Metropolis of Ghana's health facilities. METHODS: We used a descriptive cross-sectional study design to collect data from 632 healthcare professionals (HCPs), in the three purposively selected health facilities in the Cape Coast municipality of Ghana, in July 2022. Shapiro-Wilk test was used to check the normality of dependent variables. Descriptive statistics were used to report means with corresponding standard deviations for continuous variables. Proportions were also reported for categorical variables. Bivariate regression analysis was conducted to determine the factors influencing the Benefits of Information Technology (BoIT); Barriers to Information Technology Use (BITU); and Motives of Information Technology Use (MoITU) in healthcare delivery. Stata SE version 15 was used for the analysis. A p-value of less than 0.05 served as the basis for considering a statistically significant accepting hypothesis. RESULTS: Healthcare professionals (HCPs) generally perceived moderate benefits (Mean score (M) = 5.67) from information technology (IT) in healthcare. However, they slightly agreed that barriers like insufficient computers (M = 5.11), frequent system downtime (M = 5.09), low system performance (M = 5.04), and inadequate staff training (M = 4.88) hindered IT utilization. Respondents slightly agreed that training (M = 5.56), technical support (M = 5.46), and changes in work procedures (M = 5.10) motivated their IT use. Bivariate regression analysis revealed significant influences of education, working experience, healthcare profession, and IT training on attitudes towards IT utilization in healthcare delivery (BoIT, BITU, and MoITU). Additionally, the age of healthcare providers, education, and working experience significantly influenced BITU. Ultimately, age, education, working experience, healthcare profession, and IT training significantly influenced MoITU in healthcare delivery. CONCLUSIONS: Healthcare professionals acknowledge moderate benefits of IT in healthcare but encounter barriers like inadequate resources and training. Motives for IT use include staff training and support. Bivariate regression analysis shows education, working experience, profession, and IT training significantly influence attitudes towards IT adoption. Targeted interventions and policies can enhance IT utilization in the Cape Coast Metropolis, Ghana.

Assessment of health staff's proficiency and quality of key malaria indicators in rural district of Ghana.

BACKGROUND: Routine Health Information Systems (RHIS) are important for not just sure enough control of malaria, but its elimination as well. If these systems are working, they can extensively provide accurate data on reported malaria cases instead of presenting modelled approximations of malaria burden. Queries are raised on both the quality and use of generated malaria data. Some issues of concern include inaccurate reporting of malaria cases as well as treatment plans, wrongly categorizing malaria cases in registers used to collate data and misplacing data or registers for reporting. This study analyses data quality concerning health staff's proficiency, timeliness, availability and data accuracy in the Sissala East Municipal Health Directorate (MHD). METHODS: A cross-sectional design was used to collect data from 15 facilities and 50 health staff members who offered clinical related care for malaria cases in the Sissala East MHD from 24th August 2020 to 17th September 2020. Fifteen health facilities were randomly selected from the 56 health facilities in the municipality that were implementing the malarial control programme, and they were included in the study. RESULTS: On the question of when did staff receive any training on malaria-related health information management in the past six months prior to the survey, as minimal as 13 out of 50(26%) claimed to have been trained, whereas the majority 37 out of 50 (74%) had no training. In terms of proficiency in malaria indicators (MI), the majority (68% - 82%) of the respondents could not demonstrate the correct calculations of the indicators. Nevertheless, the MHD recorded monthly average timeliness of the 5th day [range: 4.7-5.7] within the reporting year. However, the MHD had a worse average performance of 5.4th and 5.7th days in July and September respectively. Furthermore, results indicated that 14 out of 15(93.3%) facilities exceeded the target to accomplish report availability (> = 90%) and data completeness (> = 90%). However, the verification factor (VF) of the overall malaria indicator showed that the MHD neither over-reported nor under-reported actual cases, with the corresponding level of data quality as Good (+/-5%). CONCLUSIONS: The Majority of staff had not received any training on malaria-related RHIS. Some staff members did not know the correct definitions of some of MI used in the malaria programme, while the majority of them could not demonstrate the correct calculations of MI. Timeliness of reporting was below the target, nevertheless, copies of data that were submitted were available and completed. There should be training, supervision and monitoring to enhance staff proficiency and improve the quality of MI.

Can a standards-based approach improve access to and quality of primary health care? Findings from an end-of-project evaluation in Ghana.

BACKGROUND: Jhpiego implemented a 5-year project to strengthen the Community-Based Health Planning and Services (CHPS) model in six coastal districts of Ghana's Western Region. The project utilized a quality improvement approach (Standards-Based Management and Recognition [SBM-R]) to strengthen implementation fidelity of the CHPS model. This article presents findings from an end-of-project evaluation comparing quality, access to care, and experience of care in intervention and comparison CHPS zones. METHODS: A non-equivalent, posttest-only, end-of-project evaluation compared 12 randomly selected intervention zones with 12 matched comparison zones. Data from standards-based assessments measured provision of care in three categories: community engagement, clinical services, and facility readiness and management. Access to and experience of care were assessed using a household survey of 426 randomly selected community members from the selected CHPS zones. Bivariate and multivariate analyses were conducted to compare performance on these measures between intervention and comparison CHPS zones. RESULTS: Overall, intervention zones outperformed comparison zones on achievement of standards (83.6% vs 58.8%) across all three assessment categories, with strongest results in community engagement (85.7% vs. 41.4%). Respondents in intervention zones were more than twice as likely to have received a home visit from a community health officer, three times as likely to have a home visit from a community health volunteer, and more likely to have attended a health talk (41.9% vs. 27.0%). Client experiences of care were reported as positive in both study arms. CONCLUSIONS: The evaluation demonstrated improved access to quality care; however, there were very few differences in client experience of care between intervention and comparison zones. As Ghana and other countries are committed to scaling up universal health care, a pragmatic approach such as SBM-R could prove useful to engage both facility- and community-based service providers, as well as community members, to improve provision of care.