17 research outputs found

    Determinants of safety climate at primary care level in Ghana, Malawi and Uganda: a cross-sectional study across 138 selected primary healthcare facilities

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    Background Safety climate is an essential component of achieving Universal Health Coverage, with several organisational, unit or team-level, and individual health worker factors identified as influencing safety climate. Few studies however, have investigated how these factors contribute to safety climate within health care settings in low- and middle-income countries (LMICs). The current study examines the relationship between key organisational, unit and individual-level factors and safety climate across primary health care centres in Ghana, Malawi and Uganda. Methods A cross-sectional, self-administered survey was conducted across 138 primary health care facilities in nine districts across Uganda, Ghana and Malawi. In total, 760 primary health workers completed the questionnaire. The relationships between individual (sex, job satisfaction), unit (teamwork climate, supportive supervision), organisational-level (district managerial support) and safety climate were tested using structural equation modelling (SEM) procedures. Post hoc analyses were also carried out to explore these relationships within each country. Results Our model including all countries explained 55% of the variance in safety climate. In this model, safety climate was most strongly associated with teamwork (β = 0.56, p < 0.001), supportive supervision (β = 0.34, p < 0.001), and district managerial support (β = 0.29, p < 0.001). In Ghana, safety climate was positively associated with job satisfaction (β = 0.30, p < 0.05), teamwork (β = 0.46, p < 0.001), and supportive supervision (β = 0.21, p < 0.05), whereby the model explained 43% of the variance in safety climate. In Uganda, the total variance explained by the model was 64%, with teamwork (β = 0.56, p < 0.001), supportive supervision (β = 0.43, p < 0.001), and perceived district managerial support (β = 0.35, p < 0.001) all found to be positively associated with climate. In Malawi, the total variance explained by the model was 63%, with teamwork (β = 0.39, p = 0.005) and supportive supervision (β = 0.27, p = 0.023) significantly and positively associated with safety climate. Discussion/conclusions Our findings highlight the importance of unit-level factors—and in specific, teamwork and supportive supervision—as particularly important contributors to perceptions of safety climate among primary health workers in LMICs. Implications for practice are discussed

    Evaluating a streamlined clinical tool and educational outreach intervention for health care workers in Malawi: the PALM PLUS case study

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    <p>Abstract</p> <p>Background</p> <p>Nearly 3 million people in resource-poor countries receive antiretrovirals for the treatment of HIV/AIDS, yet millions more require treatment. Key barriers to treatment scale up are shortages of trained health care workers, and challenges integrating HIV/AIDS care with primary care.</p> <p>The research</p> <p>PALM PLUS (Practical Approach to Lung Health and HIV/AIDS in Malawi) is an intervention designed to simplify and integrate existing Malawian national guidelines into a single, simple, user-friendly guideline for mid-level health care workers. Training utilizes a peer-to-peer educational outreach approach. Research is being undertaken to evaluate this intervention to generate evidence that will guide future decision-making for consideration of roll out in Malawi. The research consists of a cluster randomized trial in 30 public health centres in Zomba District that measures the effect of the intervention on staff satisfaction and retention, quality of patient care, and costs through quantitative, qualitative and health economics methods.</p> <p>Results and outcomes</p> <p>In the first phase of qualitative inquiry respondents from intervention sites demonstrated in-depth knowledge of PALM PLUS compared to those from control sites. Participants in intervention sites felt that the PALM PLUS tool empowered them to provide better health services to patients. Interim staff retention data shows that there were, on average, 3 to 4 staff departing from the control and intervention sites per month. Additional qualitative, quantitative and economic analyses are planned.</p> <p>The partnership</p> <p>Dignitas International and the Knowledge Translation Unit at the University of Cape Town Lung Institute have led the adaptation and development of the PALM PLUS intervention, using experience gained through the implementation of the South African precursor, PALSA PLUS. The Malawian partners, REACH Trust and the Research Unit at the Ministry of Health, have led the qualitative and economic evaluations. Dignitas and Ministry of Health have facilitated interaction with implementers and policy-makers.</p> <p>Challenges and successes</p> <p>This initiative is an example of South-South knowledge translation between South Africa and Malawi, mediated by a Canadian academic-NGO hybrid. Our success in developing and rolling out PALM PLUS in Malawi suggests that it is possible to adapt and implement this intervention for use in other resource-limited settings.</p

    Access to tuberculosis services for individuals with disability in rural Malawi, a qualitative study.

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    Tuberculosis occurs in all populations, but with higher prevalence in poor contexts. Vulnerable groups, including individuals with disability, run a particular risk due to poorer access to information and health services. Studying access to tuberculosis services for vulnerable groups in poor contexts may provide useful insight into the quality of such services in low-income contexts. This article aims to present a contextual understanding of access to tuberculosis services for people with disabilities in one district in southern Malawi. A qualitative method with semi-structured interviews and site observations was applied. In all, 89 participants were interviewed: 47 persons with disability, 11 parents/guardians of youths with disability, and the remaining 31 comprising eight health workers, four community rehabilitation assistants and volunteers, and 19 leaders in the community.Our main findings are that lack of information and knowledge, and considerable confusion related to tuberculosis, its cause and how to protect oneself, are major barrier to accessing services. Disease awareness and personal risk perception are key factors in this regard. Further findings concerns the pathways to tuberculosis related health services, in particular having a test and completing the treatment. The combination of lack of knowledge and barriers in accessing tests implies substantial availability and access problems.It is of importance to understand the combined impact of individual, social, contextual, and systems barriers to fully address the complexity of accessing tuberculosis services for vulnerable groups in poor populations. Lack of disability specific strategies in the local health services may be part of the reason why individuals with disability to not access such services

    The effect of engaging unpaid informal providers on case detection and treatment initiation rates for TB and HIV in rural Malawi (Triage Plus): A cluster randomised health system intervention trial

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    Background The poor face barriers in accessing services for tuberculosis (TB) and Human Immuno-deficiency Virus (HIV) disease. A cluster randomised trial was conducted to investigate the effectiveness of engaging unpaid informal providers (IPs) to promote access in a rural district. The intervention consisted of training unpaid IPs in TB and HIV disease recognition, sputum specimen collection, appropriate referrals, and raising community awareness. Methods In total, six clusters were defined in the study areas. Through a pair-matched cluster randomization process, three clusters (average cluster population = 200,714) were allocated to receive the intervention in the Early arm. Eleven months later the intervention was rolled out to the remaining three clusters (average cluster population = 209,564)—the Delayed arm. Treatment initiation rates for TB and Anti-Retroviral Therapy (ART) were the primary outcome measures. Secondary outcome measures included testing rates for TB and HIV. We report the results of the comparisons between the Early and Delayed arms over the 23 month trial period. Data were obtained from patient registers. Poisson regression models with robust standard errors were used to express the effectiveness of the intervention as incidence rate ratios (IRR). Results The Early and Delayed clusters were well matched in terms of baseline monthly mean counts and incidence rate ratios for TB and ART treatment initiation. However there were fewer testing and treatment initiation facilities in the Early clusters (TB treatment n = 2, TB testing n = 7, ART initiation n = 3, HIV testing n = 20) than in the Delayed clusters (TB treatment n = 4, TB testing n = 9, ART initiation n = 6, HIV testing n = 18). Overall there were more HIV testing and treatment centres than TB testing and treatment centres. The IRR was 1.18 (95% CI: 0.903–1.533; p = 0.112) for TB treatment initiation and 1.347 (CI:1.00–1.694; p = 0.049) for ART initiation in the first 12 months and the IRR were 0.552 (95% CI:0.397–0.767; p<0.001) and 0.924 (95% CI: 0.369–2.309, p = 0.863) for TB and ART treatment initiations respectively for the last 11 months. The IRR were 1.152 (95% CI:1.009–1.359, p = 0.003) and 1.61 (95% CI:1.385–1.869, p<0.001) for TB and HIV testing uptake respectively in the first 12 months. The IRR was 0.659 (95% CI:0.441–0.983; p = 0.023) for TB testing uptake for the last 11 months. Conclusions We conclude that engagement of unpaid IPs increased TB and HIV testing rates and also increased ART initiation. However, for these providers to be effective in promoting TB treatment initiation, numbers of sites offering TB testing and treatment initiation in rural areas should be increased. Trial registration ClinicalTrials.gov NCT02127983

    A household perspective on access to health care in the context of HIV and disability : a qualitative case study from Malawi

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    CITATION: Braathen, S. H. et al. 2016. A household perspective on access to health care in the context of HIV and disability: A qualitative case study from Malawi. BMC International Health and Human Rights, 16:12, doi:10.1186/s12914-016-0087-x.The original publication is available at http://bmcinthealthhumrights.biomedcentral.com/Background: Equitable access to health care is a challenge in many low-income countries. The most vulnerable segments of any population face increased challenges, as their vulnerability amplifies problems of the general population. This implies a heavy burden on informal care-givers in their immediate and extended households. However, research falls short of explaining the particular challenges experienced by these individuals and households. To build an evidence base from the ground, we present a single case study to explore and understand the individual experience, to honour what is distinctive about the story, but also to use the individual story to raise questions about the larger context. Methods: We use a single qualitative case study approach to provide an in-depth, contextual and household perspective on barriers, facilitators, and consequences of care provided to persons with disability and HIV. Results: The results from this study emphasise the burden that caring for an HIV positive and disabled family member places on an already impoverished household, and the need for support, not just for the HIV positive and disabled person, but for the entire household. Conclusions: Disability and HIV do not only affect the individual, but the whole household, immediate and extended. It is crucial to consider the interconnectedness of the challenges faced by an individual and a household. Issues of health (physical and mental), disability, employment, education, infrastructure (transport/terrain) and poverty are all related and interconnected, and should be addressed as a whole in order to secure equity in health.Publishers' Versio

    Monthly and cumulative HIV testing rates per 1,000 adults: Results in individuals aged 12 years and above over the first 11 months of the study before the scale up of the Delayed intervention arm are shown.

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    <p>The line graphs represent the cumulative HIV testing rates. The green triangle line graph indicates the Early Intervention arm and the purple cubed line graph indicates the Delayed Intervention arm. The solid bar graphs represent the monthly HIV testing rates per 1,000 adults for every month over the 11 months of the study. The blue bars represent the Early Intervention Arm while the grey bars represent the Delayed Intervention Arm.</p

    Monthly and cumulative ART treatment initiations rates per 10,000 adults: Results in individuals aged 12 years and above over the 23 months of the study before the scale up of the Delayed intervention arm are shown.

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    <p>The line graphs represent the cumulative ART initiation rates. The green triangle line graph indicates the Early Intervention arm and the purple cubed line graph indicates the Delayed Intervention arm. The solid bar graphs represent the monthly ART initiation rates per 1,000 adults for every month over the 23 months of the study. The blue bars represent the Early Intervention Arm while the grey bars represent the Delayed Intervention Arm.</p

    Triage Plus study design: Phased, pair-matched, parallel cluster design used to randomise study clusters to Early and Delayed arms.

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    <p>The blue colour represents the baseline period and the dark pink represents when the intervention package was implemented in the respective arms and the light pink represents study period when no intervention was implemented in the Delayed arm.</p
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