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The Institute for Global Health and Development

Permanent URI for this collectionhttps://eresearch.qmu.ac.uk/handle/20.500.12289/9

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    Users' Perceived Service Quality of National Telemedicine Services During the COVID-19 Pandemic in Bangladesh: Cross-Sectional Study.
    (2024-12-23) Khatun, Fatema; Das, Novel Chandra; Hoque, Md Rakibul; Saqeeb, Kazi Nazmus; Rahman, Monjur; Park, Kyung Ryul; Rasheed, Sabrina; Reidpath, Daniel
    COVID-19 created an opportunity for using teleconsultation as an alternative way of accessing expert medical advice. Bangladesh has seen a 20-fold increase in the use of teleconsultation during the pandemic. The aim of our study was to assess the influence of service quality and user satisfaction on the intention to use teleconsultation in the future among users of national teleconsultation services during the pandemic. A cross-sectional survey was conducted in 2020 among users of the national teleconsultation service-Shastho Batayon for acute respiratory infection. A validated mobile health service quality model based on structural equation modeling and confirmatory factor analysis was used to analyze the data with SmartPLS (version 3.0). Among the 2097 study participants, 1646 (78.5%) were male, 1416 (67.5%) were aged 18-39 years, 1588 (75.7%) were urban residents, 1348 (64.2%) had more than 10 years of schooling, and 1657 (79%) were from middle-income households. From a consumer perspective, the quality of the service platform (β=.946), service interaction (β=.974), and outcome (β=.955) contributed to service quality. Service quality was positively associated with user satisfaction (β=.327; P<.001) and intention to use teleconsultation services (β=.102; P<.001). User satisfaction was positively associated with the intention to use teleconsultation services (β=.311; P<.001). The increase in the use of teleconsultation during the pandemic indicated that such services were potentially used for emergencies. However, the future use of teleconsultation will be dependent on the quality of service and user satisfaction. Our findings are relevant for low-income contexts where teleconsultation services are used to address gaps in service delivery. [Abstract copyright: © Fatema Khatun, Novel Chandra Das, Md Rakibul Hoque, Kazi Nazmus Saqeeb, Monjur Rahman, Kyung Ryul Park, Sabrina Rasheed, Daniel D Reidpath. Originally published in JMIR Human Factors (https://humanfactors.jmir.org).]
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    Health system strengthening—Reflections on its meaning, assessment, and our state of knowledge
    (Wiley, 2019-08-06) Witter, Sophie; Palmer, Natasha; Balabanova, Dina; Mounier-Jack, Sandra; Martineau, Tim; Klicpera, Anna; Jensen, Charity; Pugliese-Garcia, Miguel; Gilson, Lucy
    Comprehensive reviews of health system strengthening (HSS) interventions are rare, partly because of lack of clarity on definitions of the term but also the potentially huge scale of the evidence. We reflect on the process of undertaking such an evidence review recently, drawing out suggestions on definitions of HSS and approaches to assessment, as well as summarising some key conclusions from the current evidence base. The key elements of a clear definition include, in our view, consideration of scope (with effects cutting across building blocks in practice, even if not in intervention design, and also tackling more than one disease), scale (having national reach and cutting across levels of the system), sustainability (effects being sustained over time and addressing systemic blockages), and effects (impacting on health outcomes, equity, financial risk protection, and responsiveness). We also argue that agreeing a framework for design and evaluation of HSS is urgent. Most HSS interventions have theories of change relating to specific system blocks, but more work is needed on capturing their spillover effects and their contribution to meeting overarching health system process goals. We make some initial suggestions about such goals, to reflect the features that characterise a “strong health system.” We highlight that current findings on “what works” are just indicative, given the limitations and biases in what has been studied and how, and argue that there is need to rethink evaluation methods for HSS beyond finite interventions and narrow outcomes. Clearer concepts, frameworks, and methods can support more coherent HSS investment.