Health Policy and Technology最新文献

{"title":"Vaccination and non-pharmaceutical interventions during COVID-19: Impact on health and non-health outcomes in the US","authors":"Asmita P. Khatiwada ,&nbsp;Mesfin G. Genie ,&nbsp;Aregawi G. Gebremariam ,&nbsp;Tim C. Lai ,&nbsp;Nabin Poudel ,&nbsp;Surachat Ngorsuraches","doi":"10.1016/j.hlpt.2023.100792","DOIUrl":"10.1016/j.hlpt.2023.100792","url":null,"abstract":"<div><h3>Objective</h3><p>Little is known about the relative effectiveness of COVID-19 vaccination and its interaction with non-pharmaceutical interventions (NPIs) in reducing infections, deaths, COVID-19 reproduction rate, and job losses. This study examined the relative effectiveness of vaccination and NPIs on COVID-19 infection, deaths, reproduction rate, and unemployment rate in the US.</p></div><div><h3>Methods</h3><p>Retrospective US data at the national level were obtained from the Oxford COVID-19 Government Response Tracker (OxCGRT dataset). Unemployment rate data were obtained from the US Bureau of Labor Statistics. Time-trend analyses of the policy variables and epidemiological outcomes were performed. A regression discontinuity in time was used to investigate the effects of policy variables on health outcomes and unemployment rate.</p></div><div><h3>Results</h3><p>Based on time-trend analyses, the number of people vaccinated increased starting in March 2021, while the stringency index had steadily declined since early January 2021. A decrease in new COVID-19 cases and deaths was observed during this period. However, despite higher vaccination coverage, new COVID-19 cases and deaths peaked in late 2021 and early 2022. We found that the interaction between treatment effects (vaccinations) and stringency measures was negatively associated with total COVID-19 cases and deaths, implying that some restrictions might be required to reduce rising infections during vaccination campaigns. We also found a negative association between vaccinations and the unemployment rate.</p></div><div><h3>Conclusion</h3><p>The study findings suggested that vaccinations alone were insufficient to reduce virus spread and deaths, and that some NPIs might be required during the vaccination campaigns.</p></div>","PeriodicalId":48672,"journal":{"name":"Health Policy and Technology","volume":"13 1","pages":"Article 100792"},"PeriodicalIF":6.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2211883723000680/pdfft?md5=692402b6a561e3282d83f2f039f7c768&pid=1-s2.0-S2211883723000680-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49564409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The interplay between global health policy and vaccination strategies in the shift towards COVID-19 endemicity","authors":"Marcello Antonini ,&nbsp;Ayman Fouda ,&nbsp;Madeleine Hinwood ,&nbsp;Adrian Melia ,&nbsp;Francesco Paolucci","doi":"10.1016/j.hlpt.2024.100854","DOIUrl":"10.1016/j.hlpt.2024.100854","url":null,"abstract":"","PeriodicalId":48672,"journal":{"name":"Health Policy and Technology","volume":"13 1","pages":"Article 100854"},"PeriodicalIF":6.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2211883724000170/pdfft?md5=4fcbe34afc1cf0ab64a3f366cd71fc01&pid=1-s2.0-S2211883724000170-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139883744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"COVID-19 in the Netherlands: A three-phase analysis","authors":"Anouk van Amerongen ,&nbsp;Claudia Zoller ,&nbsp;Ayman Fouda","doi":"10.1016/j.hlpt.2023.100783","DOIUrl":"10.1016/j.hlpt.2023.100783","url":null,"abstract":"<div><h3>Introduction</h3><p>The COVID-19 pandemic has presented global challenges in the health, economy, society, and political sector for the past three years. For the Netherlands, the dynamic nature of the pandemic can be divided into three phases. The initial phase exclusively relied on non-pharmaceutical interventions (NPIs). The second phase was characterized by the introduction of vaccines alongside the continuation of stringent NPIs. Finally, the third phase marks the post-vaccine and booster stage, characterized by minimal or absent NPIs. This paper examines the interplay between the mitigation policies, the vaccination rollout, health outcomes, and economic indicators in the Netherlands in these three phases.</p></div><div><h3>Methods</h3><p>This analysis used national real-time data on COVID-19-related health outcomes, health service utilization, vaccination rollout, and economic indicators. Our descriptive analysis applied the “Categorising Policy &amp; Technology Interventions (CPTI)” framework.</p></div><div><h3>Results</h3><p>The number of daily deaths, hospital admission and ICU admission experienced the highest peak in the first phase, while the number of daily cases first spiked in the third phase. The containment measures reached a very significant level twice, resulting in a full lockdown twice. In the first two phases, the peak in stringency of the CPTI containment category was parallel with the peaks in health outcomes. Conversely, in the third phase, the containment measures were scaled down prior to the peak in daily cases.</p></div><div><h3>Conclusions</h3><p>Our findings suggest that the Dutch three-phased COVID-19 mitigation strategy managed to fulfil its aim and protect vulnerable individuals, prevent healthcare institutions from overload, and move from the pandemic to the endemic phase.</p></div>","PeriodicalId":48672,"journal":{"name":"Health Policy and Technology","volume":"13 1","pages":"Article 100783"},"PeriodicalIF":6.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S221188372300059X/pdfft?md5=5bda2b559d9531a5cbdb9d7cbaab7ac1&pid=1-s2.0-S221188372300059X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47607647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Navigating economic turmoil: Chilean businesses during COVID-19 lockdowns and vaccine rollouts","authors":"Julio A. Pertuze ,&nbsp;José Pablo Montégu ,&nbsp;Cecilia González ,&nbsp;Rafael Araos ,&nbsp;Paula Daza","doi":"10.1016/j.hlpt.2023.100813","DOIUrl":"10.1016/j.hlpt.2023.100813","url":null,"abstract":"<div><h3>Objectives</h3><p>This study evaluates the effects of COVID-19 lockdowns, differentiated by their stringency, on the sales of Chilean businesses across various size categories and industries throughout 2020 and 2021. It also explores the role of the vaccination campaign and the implementation of the Mobility Pass in mitigating the negative economic effects of stringent containment measures.</p></div><div><h3>Methods</h3><p>The study uses administrative data from the Chilean Internal Revenue Service (SII), examining sales across different business sizes and industries, from March 2020 to December 2021. Through an econometric analysis, we estimate the effects of lockdowns on business sales during two distinct periods: initial reliance on dynamic non-pharmaceutical interventions (NPIs) pre-vaccine, and a subsequent stage characterized by high vaccine uptake and reduced NPI stringency.</p></div><div><h3>Results</h3><p>Lockdowns significantly reduced sales across all business sizes and most industries during the first period, with microenterprises and certain service sectors experiencing the highest decline. The national vaccination campaign and the introduction of the Mobility Pass in the second period appears to have mitigated the negative effects of lockdowns, primarily benefiting micro and small firms.</p></div><div><h3>Conclusions</h3><p>The study highlights the trade-offs between health and economic outcomes during the pandemic, stressing the importance to alleviate mobility restrictions post-vaccine rollout to ease the economic strain on businesses. The findings call for targeted support measures for MSMEs and vulnerable industries affected by NPIs.</p></div>","PeriodicalId":48672,"journal":{"name":"Health Policy and Technology","volume":"13 1","pages":"Article 100813"},"PeriodicalIF":6.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2211883723000898/pdfft?md5=f9c5f0284ed129531c147f26758177de&pid=1-s2.0-S2211883723000898-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134995166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to ‘Towards a universal patient-centric health record sharing platform’ [Health Policy and Technology 12 (2023) 100819]","authors":"Mana Azarm ,&nbsp;Rebecca Meehan ,&nbsp;Craig Kuziemsky","doi":"10.1016/j.hlpt.2023.100821","DOIUrl":"https://doi.org/10.1016/j.hlpt.2023.100821","url":null,"abstract":"<div><p>Abstract</p></div>","PeriodicalId":48672,"journal":{"name":"Health Policy and Technology","volume":"12 4","pages":"Article 100821"},"PeriodicalIF":6.0,"publicationDate":"2023-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2211883723000977/pdfft?md5=0b347d243a5a26d272b0236c8b84f9e6&pid=1-s2.0-S2211883723000977-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138453984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to ‘Machine learning prediction of hospital patient need for post-acute care using an admission mobility measure is robust across patient diagnoses’ [Health Policy and Technology 12 (2023) 100,754]","authors":"Daniel L. Young ,&nbsp;Rebecca Engels ,&nbsp;Elizabeth Colantuoni ,&nbsp;Lisa Aronson Friedman ,&nbsp;Erik H. Hoyer","doi":"10.1016/j.hlpt.2023.100825","DOIUrl":"https://doi.org/10.1016/j.hlpt.2023.100825","url":null,"abstract":"<div><p>None</p></div>","PeriodicalId":48672,"journal":{"name":"Health Policy and Technology","volume":"12 4","pages":"Article 100825"},"PeriodicalIF":6.0,"publicationDate":"2023-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2211883723001016/pdfft?md5=127e2af5e8991d39e0edc980c50fad49&pid=1-s2.0-S2211883723001016-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138453983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial intelligence for patient scheduling in the real-world health care setting: A metanarrative review","authors":"Dacre R.T. Knight ,&nbsp;Christopher A. Aakre ,&nbsp;Christopher V. Anstine ,&nbsp;Bala Munipalli ,&nbsp;Parisa Biazar ,&nbsp;Ghada Mitri ,&nbsp;Jose Raul Valery ,&nbsp;Tara Brigham ,&nbsp;Shehzad K. Niazi ,&nbsp;Adam I. Perlman ,&nbsp;John D. Halamka ,&nbsp;Abd Moain Abu Dabrh","doi":"10.1016/j.hlpt.2023.100824","DOIUrl":"10.1016/j.hlpt.2023.100824","url":null,"abstract":"&lt;div&gt;&lt;h3&gt;Objectives&lt;/h3&gt;&lt;p&gt;The application of artificial intelligence (AI) and machine learning (ML) to scheduling in medical practices has considerable implications for most specialties. However, the landscape of AI and ML use in scheduling optimization is unclear. We aimed to systematically summarize up-to-date evidence about application of AI and ML models for scheduling optimization in clinical settings.&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Methods&lt;/h3&gt;&lt;p&gt;&lt;span&gt;We systematically searched multiple databases from inception through August 2020 to identify studies that described real-world application of AI and ML in health care scheduling and reported outcomes. Eligible studies included those conducted in any health care setting using ML or &lt;/span&gt;predictive modeling through AI to optimize patient scheduling processes in real-time, real-world settings. Outcomes of interest included assessing impact on stakeholders (i.e., providers, patients, health systems), including impact on workload, burden, burnout, cost, utilization, patient and provider satisfaction, waste reduction, and quality. Data were extracted and reviewed in duplicates, independently and blindly by two reviewers. The results were synthesized and summarized using a metanarrative approach.&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Results&lt;/h3&gt;&lt;p&gt;The initial search strategy yielded 3,415 citations, of which 11 eligible studies were included. Outcome measures for studies on missed appointments covered patient double-booking volume, missed appointments, service use, and missed appointment risk. Resource allocation outcomes assessed wait time, disease-type matching performance, schedule efficiency revenue, and new patient volume wait time. Other outcomes included visit requests, examination length prediction, and surgical case time.&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Conclusions&lt;/h3&gt;&lt;p&gt;Available evidence shows heterogeneity in the stages of AI and ML development as they apply to patient scheduling. AI and ML applications can be used to decrease the burden on provider time, increase patient satisfaction, and ultimately provide more patient-directed health care and efficiency for medical practices. These findings help identify additional opportunities in which AI platforms can be developed to optimize patient scheduling.&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Public Interest Summary&lt;/h3&gt;&lt;p&gt;&lt;span&gt;Artificial Intelligence (AI) and machine learning (ML) can help many aspects of health care. Patient scheduling has significant implications for the cost benefits of improved technology. The longstanding use of technology in medicine serves as a strong foundation for future AI applications. Here, we present an up-to-date review of the current use of AI and ML for schedule optimization in the health care clinic setting. Current evidence shows a wide variety of stages in the development, function, and application of AI and ML &lt;/span&gt;in patient scheduling. Given the current gaps of knowledge, future studies should address feasibility, effectiveness, generalizability, and risk of A","PeriodicalId":48672,"journal":{"name":"Health Policy and Technology","volume":"12 4","pages":"Article 100824"},"PeriodicalIF":6.0,"publicationDate":"2023-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135713776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A national survey of physicians regarding protection of patient privacy in China","authors":"Zhongzhou Xiao ,&nbsp;Wei Zhai ,&nbsp;Xinwei Peng ,&nbsp;Yun Zhong ,&nbsp;Shuqing Luo ,&nbsp;Ruiyao Chen ,&nbsp;Lu Lu ,&nbsp;Yijue Zhang ,&nbsp;Jie Xu","doi":"10.1016/j.hlpt.2023.100823","DOIUrl":"https://doi.org/10.1016/j.hlpt.2023.100823","url":null,"abstract":"&lt;div&gt;&lt;h3&gt;&lt;strong&gt;Objectives&lt;/strong&gt;&lt;/h3&gt;&lt;p&gt;The significance of safeguarding patient privacy at a population level within public medical institutions remains insufficiently acknowledged despite the potential to enhance the protection awareness of physicians and of hospital management in clinical practice. We herein devised a survey to investigate the current state of patient privacy breaches in China and to ascertain its underlying rationales.&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;&lt;strong&gt;Methods&lt;/strong&gt;&lt;/h3&gt;&lt;p&gt;&lt;span&gt;We conducted a comprehensive nationwide survey of 928 physicians in seven geographic regions of China through convenience and snowball sampling, enrolled physicians defined in the Chinese Health Statistics Yearbook, and measured the incidence of medical data breaches. Physicians’ perceptions and behaviors with respect to patient privacy protection and their attitudes toward hospital management were accessed through descriptive statistics. Multiple &lt;/span&gt;logistic regression analysis was also conducted with different adjustments of covariates for each model.&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;&lt;strong&gt;Results&lt;/strong&gt;&lt;/h3&gt;&lt;p&gt;Of the 937 respondents, 928 physicians were eligible and validated for the analysis. We estimated that 52.2 % (95 %CI, 48.9–55.4) of the physicians reported that they had disclosed their patients’ privacy. Master's (OR, 0.63 [95 %CI, 0.43–0.92]) and Ph.D. (OR, 0.59 [95 %CI, 0.35–1.00]) educational levels, scores on the understanding of patient privacy protection (OR, 0.89 [95 %CI, 0.80–0.99]), the presence of colleagues who had experienced data disclosure (OR, 7.00 [95 %CI, 5.02–9.77]), full-time department supervision (OR, 1.60 [95 %CI, 1.02–2.53]) and corresponding regulations (OR, 0.56 [95 %CI, 0.33–0.97]) for patient privacy protection in the hospital, restricted external equipment for computers (OR, 1.76 [95 %CI, 1.10–2.83]), and access to medical records (OR, 0.62 [95 %CI, 0.41–0.94]) were all associated with privacy breaches by physicians.&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;&lt;strong&gt;Conclusions&lt;/strong&gt;&lt;/h3&gt;&lt;p&gt;In general, patient privacy research and awareness of patient privacy protection are relatively deficient in China, with a remarkably high occurrence of disclosure. We posit that the identification of the factors underlying our results will provide evidence for appropriate hospital management, and that these factors may then be generalizable to other clinical settings.&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;&lt;strong&gt;Public interest summary&lt;/strong&gt;&lt;/h3&gt;&lt;p&gt;Patient privacy breaches seem to be rarely mentioned and addressed regardless of the country, potentially due to its high sensitivity, while this is significant in clinical practice. In this study, we meant to find out the answers to the questions, “What is the situation of privacy disclosure in China public medical institutions?”, “Why does it happen?”, and “Is patient privacy protected enough? If not, how can we do better?”. Through conducting a survey among physicians, their answers were collected for further analysis. Our","PeriodicalId":48672,"journal":{"name":"Health Policy and Technology","volume":"12 4","pages":"Article 100823"},"PeriodicalIF":6.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134656463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Towards a universal patient-centric health record sharing platform","authors":"Mana Azarm ,&nbsp;Rebecca Meehan ,&nbsp;Craig Kuziemsky","doi":"10.1016/j.hlpt.2023.100819","DOIUrl":"https://doi.org/10.1016/j.hlpt.2023.100819","url":null,"abstract":"&lt;div&gt;&lt;h3&gt;Objectives&lt;/h3&gt;&lt;p&gt;This paper provides a practical approach to evaluate health record sharing platforms in terms of their ability to deliver interoperable healthcare of quality at a systems level. We use our previously published interoperability evaluation framework to evaluate our proposed System-level Record Sharing (SLRS) platform against four other common categories of health record sharing platforms in Canada, the United States, and Norway.&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Methods&lt;/h3&gt;&lt;p&gt;In this paper, we compare the SLRS platform architecture that we previously developed against 4 health record sharing platform categories. We conducted this comparative evaluation of 5 categories of healthcare platforms: SLRS, Commercial-Multi (CM), Commercial-Independent (CI), Governmental-Multi (GM), and Governmental-Independent (GI) using our proposed evaluation framework that is built upon quadruple aim, triple aim and Canadian Institute for Health Information (CIHI) health platform evaluation frameworks.&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Results&lt;/h3&gt;&lt;p&gt;SLRS and platforms managed by government organizations that provide a technology-independent or compatible platform were the most effective in terms of satisfying data interoperability, providing meaningful and effective information exchange, being compliant with health privacy regulations across a range of contexts, and having many of the costs paid for at a central level. All platforms struggled with context and process interoperability requirements, as well as providing evidence-based information across an entire health system.&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Conclusion&lt;/h3&gt;&lt;p&gt;To optimize health management, both clinicians and patients need sharing of personal health information (PHI) across applications. Our findings indicate that commercial platforms in this study need to improve their governance structure and employ a consistent ontology that can be adopted by all EHR applications across a health system. Our proposed SLRS platform can support the sharing of health data across multiple health care organizations at a system-level, allowing clinicians to access patient health data to inform treatment and care decisions.&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Public interest abstract&lt;/h3&gt;&lt;p&gt;Healthcare organizations face barriers when exchanging information across their boundaries. Many obstacles are caused by varying technical requirements of the EHR applications they have, and their contextual regulations. Most healthcare organizations have a portal in which the patients can view their care history. However, the breadth of the information provided limits to the number of healthcare providers subscribed to that specific platform. Viewing the full history across the entire health system, requires maintaining multiple accounts.&lt;/p&gt;&lt;p&gt;In this paper we refer to a new framework for sharing health information and its prototyped platform (SLRS) that we have previously developed in our lab. In this paper we report on how we evaluated the SLRS platform against four pro","PeriodicalId":48672,"journal":{"name":"Health Policy and Technology","volume":"12 4","pages":"Article 100819"},"PeriodicalIF":6.0,"publicationDate":"2023-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50197905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Telemedicine implementation framework for Malaysia: An integrated SWOT-MCDM approach","authors":"Siti Norida Wahab ,&nbsp;Jagroop Singh ,&nbsp;Nikram Subramaniam","doi":"10.1016/j.hlpt.2023.100818","DOIUrl":"https://doi.org/10.1016/j.hlpt.2023.100818","url":null,"abstract":"<div><h3>Objectives</h3><p>Despite the increase in the utilization of telemedicine worldwide, especially during the pandemic, its implementation in Malaysia's healthcare industry remains scarce. Hence, this study aims to understand the current state of telemedicine utilization by identifying the constraints and establishing the optimum telemedicine implementation strategy.</p></div><div><h3>Methods</h3><p>The study proposes an integrated methodology based on strengths, weaknesses, opportunities, and threats (SWOT) analysis, analytical hierarchy process entropy (AHPE), and fuzzy technique for order performance by similarity to the ideal solution (FTOPSIS). The SWOT analysis is performed for the situational assessment of telemedicine technology in Malaysia. Each element of SWOT was assessed using AHPE to establish priorities, followed by the FTOPSIS approach to provide strategies for its successful adoption.</p></div><div><h3>Results</h3><p>The findings show that continuous government support and encouragement for market acquisition, cost-cutting, profit-maximizing, and Internet of Things (IoT)-based adoption to establish a strong telemedicine network is the most important strategy for telemedicine technology implementation. While using a structured method to improve service quality, the implementation of a knowledge-sharing management program for telemedicine technology is ranked as the least preferred telemedicine technology implementation strategy.</p></div><div><h3>Conclusions</h3><p>The study suggests a systematic way of developing and evaluating telemedicine technology implementation strategies for further improving Malaysian healthcare patient experiences and policy endeavours. This study proposed alternative strategies to expand telemedicine technology implementation. It is hoped that this study could further enhance knowledge and serve as a guide for stakeholders in the healthcare industry to understand their business environment better.</p></div>","PeriodicalId":48672,"journal":{"name":"Health Policy and Technology","volume":"12 4","pages":"Article 100818"},"PeriodicalIF":6.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50197879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}