Correction: Analyzing data from the digital healthcare exchange platform for surveillance of antibiotic prescriptions in primary care in urban Kenya: A mixed-methods study.

[This corrects the article DOI: 10.1371/journal.pone.0222651.].

Analyzing data from the digital healthcare exchange platform for surveillance of antibiotic prescriptions in primary care in urban Kenya: A mixed-methods study.

BACKGROUND: Knowledge of antibiotic prescription practices in low- and middle-income countries is limited due to a lack of adequate surveillance systems. OBJECTIVE: To assess the prescription of antibiotics for the treatment of acute respiratory tract infections (ARIs) in primary care. METHOD: An explanatory sequential mixed-methods study was conducted in 4 private not-for-profit outreach clinics located in slum areas in Nairobi, Kenya. Claims data of patients who received healthcare between April 1 and December 27, 2016 were collected in real-time through a mobile telephone-based healthcare data and payment exchange platform (branded as M-TIBA). These data were used to calculate the percentage of ARIs for which antibiotics were prescribed. In-depth interviews were conducted among 12 clinicians and 17 patients to explain the quantitative results. RESULTS: A total of 49,098 individuals were registered onto the platform, which allowed them to access healthcare at the study clinics through M-TIBA. For 36,210 clinic visits by 21,913 patients, 45,706 diagnoses and 85,484 medication prescriptions were recorded. ARIs were the most common diagnoses (17,739; 38.8%), and antibiotics were the most frequently prescribed medications (21,870; 25.6%). For 78.5% (95% CI: 77.9%, 79.1%) of ARI diagnoses, antibiotics were prescribed, most commonly amoxicillin (45%; 95% CI: 44.1%, 45.8%). These relatively high levels of prescription were explained by high patient load, clinician and patient perceptions that clinicians should prescribe, lack of access to laboratory tests, offloading near-expiry drugs, absence of policy and surveillance, and the use of treatment guidelines that are not up-to-date. Clinicians in contrast reported to strictly follow the Kenyan treatment guidelines. CONCLUSION: This study showed successful quantification of antibiotic prescription and the prescribing pattern using real-world data collected through M-TIBA in private not-for-profit clinics in Nairobi.

Health insurance and social capital in Ghana: a cluster randomised controlled trial.

BACKGROUND: The National Health Insurance Scheme (NHIS) was introduced in Ghana in 2003, enrolment is still far from the desired target of universal coverage. Low community engagement in the design and management of the system was identified as one of the main barriers. The aim of the current study was to explore the role of social capital in NHIS enrolment in two regions of Ghana, Western and Greater Accra. METHODS: The study involved a cluster-randomised controlled trial of 3246 clients of 64 healthcare facilities who completed both a baseline and a follow-up survey. Thirty-two facilities were randomly selected to receive two types of intervention. The remaining facilities served as control. The interventions were co-designed with stakeholders. Baseline and follow up surveys included measures of different types of social capital, as well as enrolment in the health insurance scheme. RESULTS: The study found that the interventions encouraged NHIS enrolment (from 40.29 to 49.39% (intervention group) versus 36.49 to 36.75% (control group)). Secondly, certain types of social capital are associated with increased enrolment (log-odds ratios (p-values) of three types of vertical social capital are 0.127 (< 0.01), 0.0952 (< 0.1) and 0.15 (< 0.01)). Effectiveness of the interventions was found dependent on initial levels of social capital: respondents with lowest measured level of interpersonal trust in the intervention group were about 25% more likely to be insured than similar respondents in the control group. Among highly trusting respondents this difference was insignificant. There was however no evidence that the interventions effect social capital. Limitations of the study are discussed. CONCLUSION: We showed that the interventions helped to increase enrolment but that the positive effect was not realized by changes in social capital that we hypothesised based on result of the first phase of our study. Future research should aim to identify other community factors that are part of the enrolment process, whether other interventions to improve the quality of services could help to increase enrolment and, as a result, could provide community benefits in terms of social capital.Our findings can guide the NHIS in Ghana and other health organizations to enhance enrolment. TRIAL REGISTRATION: Ethical Clearance by Ghana Health Service Ethical Committee No. GHS-ERC 08.5.11.

Effect of Community Engagement Interventions on Patient Safety and Risk Reduction Efforts in Primary Health Facilities: Evidence from Ghana.

BACKGROUND: Patient safety and quality care remain major challenges to Ghana's healthcare system. Like many health systems in Africa, this is largely because demand for healthcare is outstripping available human and material resource capacity of healthcare facilities and new investment is insufficient. In the light of these demand and supply constraints, systematic community engagement (SCE) in healthcare quality assessment can be a feasible and cost effective option to augment existing quality improvement interventions. SCE entails structured use of existing community groups to assess healthcare quality in health facilities. Identified quality gaps are discussed with healthcare providers, improvements identified and rewards provided if the quality gaps are closed. PURPOSE: This paper evaluates whether or not SCE, through the assessment of health service quality, improves patient safety and risk reduction efforts by staff in healthcare facilities. METHODS: A randomized control trail was conducted in 64 primary healthcare facilities in the Greater Accra and Western regions of Ghana. Patient risk assessments were conducted in 32 randomly assigned intervention and control facilities. Multivariate multiple regression test was used to determine effect of the SCE interventions on staff efforts towards reducing patient risk. Spearman correlation test was used to ascertain associations between types of community groups engaged and risk assessment scores of healthcare facilities. FINDINGS: Clinic staff efforts towards increasing patient safety and reducing risk improved significantly in intervention facilities especially in the areas of leadership/accountability (Coef. = 10.4, p<0.05) and staff competencies (Coef. = 7.1, p<0.05). Improvement in service utilization and health resources could not be attributed to the interventions because these were outside the control of the study and might have been influenced by institutional or national level developments between the baseline and follow-up period. Community groups that were gender balanced, religious/faith-based, and had structured leadership appeared to be better options for effective SCE in healthcare quality assessment. CONCLUSION: Community engagement in healthcare quality assessment is a feasible client-centered quality improvement option that should be discussed for possible scale-up in Ghana and other resource poor countries in Africa.

Social capital and active membership in the Ghana National Health Insurance Scheme - a mixed method study.

BACKGROUND: People's decision to enroll in a health insurance scheme is determined by socio-cultural and socio-economic factors. On request of the National health Insurance Authority (NHIA) in Ghana, our study explores the influence of social relationships on people's perceptions, behavior and decision making to enroll in the National Health Insurance Scheme. This social scheme, initiated in 2003, aims to realize accessible quality healthcare services for the entire population of Ghana. We look at relationships of trust and reciprocity between individuals in the communities (so called horizontal social capital) and between individuals and formal health institutions (called vertical social capital) in order to determine whether these two forms of social capital inhibit or facilitate enrolment of clients in the scheme. Results can support the NHIA in exploiting social capital to reach their objective and strengthen their policy and practice. METHOD: We conducted 20 individual- and seven key-informant interviews, 22 focus group discussions, two stakeholder meetings and a household survey, using a random sample of 1903 households from the catchment area of 64 primary healthcare facilities. The study took place in Greater Accra Region and Western Regions in Ghana between June 2011 and March 2012. RESULTS: While social developments and increased heterogeneity seem to reduce community solidarity in Ghana, social networks remain common in Ghana and are valued for their multiple benefits (i.e. reciprocal trust and support, information sharing, motivation, risk sharing). Trusting relations with healthcare and insurance providers are, according healthcare clients, based on providers' clear communication, attitude, devotion, encouragement and reliability of services. Active membership of the NHIS is positive associated with community trust, trust in healthcare providers and trust in the NHIS (p-values are .009, .000 and .000 respectively). CONCLUSION: Social capital can motivate clients to enroll in health insurance. Fostering social capital through improving information provision to communities and engaging community groups in health care and NHIS services can facilitate peoples' trust in these institutions and their active participation in the scheme.

Association between health worker motivation and healthcare quality efforts in Ghana.

BACKGROUND: Ghana is one of the sub-Saharan African countries making significant progress towards universal access to quality healthcare. However, it remains a challenge to attain the 2015 targets for the health related Millennium Development Goals (MDGs) partly due to health sector human resource challenges including low staff motivation. PURPOSE: This paper addresses indicators of health worker motivation and assesses associations with quality care and patient safety in Ghana. The aim is to identify interventions at the health worker level that contribute to quality improvement in healthcare facilities. METHODS: The study is a baseline survey of health workers (n = 324) in 64 primary healthcare facilities in two regions in Ghana. Data collection involved quality care assessment using the SafeCare Essentials tool, the National Health Insurance Authority (NHIA) accreditation data and structured staff interviews on workplace motivating factors. The Spearman correlation test was conducted to test the hypothesis that the level of health worker motivation is associated with level of effort by primary healthcare facilities to improve quality care and patient safety. RESULTS: The quality care situation in health facilities was generally low, as determined by the SafeCare Essentials tool and NHIA data. The majority of facilities assessed did not have documented evidence of processes for continuous quality improvement and patient safety. Overall, staff motivation appeared low although workers in private facilities perceived better working conditions than workers in public facilities (P <0.05). Significant positive associations were found between staff satisfaction levels with working conditions and the clinic's effort towards quality improvement and patient safety (P <0.05). CONCLUSION: As part of efforts towards attainment of the health related MDGs in Ghana, more comprehensive staff motivation interventions should be integrated into quality improvement strategies especially in government-owned healthcare facilities where working conditions are perceived to be the worst.