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Applying Experienced-Based Co-Design principles to improve digital health demand management processes in a large metropolitan multi-hospital health system Health Policy Tech. (IF 3.4) Pub Date : 2024-08-30 Alofi S Black, Sundresan Naicker, Amina Tariq, Phuong Le, Raelene Donovan, Matthew Jones, Stephen Canaris, Richard Warne, Cameron Ballantine, Steven M McPhail
This study describes the application of Experienced-Based Co-Design (EBCD) principles with an embedded implementation technology framework for improving digital health and informatics demand management processes in a multi-hospital healthcare system. The study identified barriers and enablers within the existing demand management system, proposed interventions to address these challenges and engaged
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A nationwide digital maturity assessment of hospitals – Results from the German DigitalRadar Health Policy Tech. (IF 3.4) Pub Date : 2024-08-30 Alexander Geissler, Johannes Hollenbach, Malte Haring, Volker Eric Amelung, Sylvia Thun, Alexander Haering
In 2019, the German government established the Hospital Future Fund, allocating 4.3 billion Euros, to support investments in the digital infrastructure of hospitals. The DigitalRadar consortium was commissioned by the German Ministry of Health in 2020 to develop a holistic digital maturity model and evaluate the current state of digitalization and the impact of the funding program. To date, the nationwide
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Trends in Medicare Charges, Reimbursements, and Utilization for Ophthalmic Versus Non-Ophthalmic Procedures: Medicare Charges in Ophthalmic Procedures Health Policy Tech. (IF 3.4) Pub Date : 2024-08-25 Zane Z. Yu, John C. Lin, Jung Ho Gong, Ingrid U. Scott, Paul B. Greenberg
To investigate trends in Medicare charges, reimbursements, and utilization for ophthalmic and non-ophthalmic procedures. We examined all ophthalmic, non-ophthalmic, and the 15 most performed ophthalmic medical/surgical procedures in Medicare Provider Utilization and Payment Data from 2013 to 2019. Monetary values were adjusted for inflation based on the 2019 United States (US) dollar using the Bureau
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Radiology outpatients’ awareness of their out-of-pocket estimates and hospital price estimator tools in the United States Health Policy Tech. (IF 3.4) Pub Date : 2024-08-19 Jasmine Kaur Dhillon, Desiree Anderson, Thuan Gia-Nhat Tran, Arham Aijaz, Ruth C. Carlos, Gelareh Sadigh
Price transparency mandates by the Centers for Medicare and Medicaid Services (CMS) were implemented in 2021 for hospitals and 2023 for health plans. We assessed U.S. patients’ awareness of their estimated out-of-pocket cost (OOPC) and hospital price-estimator tool among outpatients undergoing advanced imaging. English-, Spanish-, and Vietnamese-speaking adults receiving a CT, PET/CT, or MRI at a tertiary
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Digital national waiting time information system - View of Finnish public oral healthcare managers Health Policy Tech. (IF 3.4) Pub Date : 2024-08-16 Riitta Söderlund
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Adoption of contact tracing app during pandemic: Users’ resistance behavior Health Policy Tech. (IF 3.4) Pub Date : 2024-08-15 Yogesh Bhatt, Karminder Ghuman, Safiya Mukhtar Alshibani, Usama Awan
The study investigates the key issues influencing different barriers resulting in user resistance toward adopting contact tracing smartphone apps launched to track COVID-19 infections. Indian users’ experiences regarding the Aarogya Setu app for preventing the spread of COVID-19 were examined in two phases. In Phase I, online users’ comments available at the Google Play Store were qualitatively analyzed
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A decade of HTA in Indonesia: Methodological challenges in conducting economic evaluation Health Policy Tech. (IF 3.4) Pub Date : 2024-08-15 Septiara Putri, Lusiana Siti Masytoh
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The beauty premium: Physicians’ facial expressions and patients’ selection and evaluation behavior in online health communities Health Policy Tech. (IF 3.4) Pub Date : 2024-08-13 Yanbin Yang, Chengyu Ma, Haopeng Liu
With the development of information technology, online health communities (OHCs) are becoming an increasingly popular source of health information. While the impact of beauty has been extensively studied in various research fields, its role in OHCs has received little attention. This study aims to evaluate the effect of physicians’ appearance, smile, and positive emotions on patients’ selection and
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Introduction of novel complex integrated care models supported by digital health interventions in European primary settings: a scoping review Health Policy Tech. (IF 3.4) Pub Date : 2024-08-12 E. Mezzalira, F. Canzan, G. Marini, J. Longhini, C Leardini, L. Saiani, E. Ambrosi
There remains the need to develop comprehensive organisational care models supported by digital health interventions (DHIs) to manage chronic conditions in primary healthcare. this review aimed to identify and map methods, interventions and outcomes investigated regarding the introduction of novel complex integrated care models supported by DHIs in the European primary care setting, as well as the
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Identifying the risk factors of patient safety in internet hospitals: A mixed methods study Health Policy Tech. (IF 3.4) Pub Date : 2024-08-12 Sha Liu, Yinhuan Hu, Xiaoyue Wu, Gang Li, Liuming Wang, Yeyan Zhang, Jinghan Zhou
The purpose of this study was to identify key risk factors and their interrelationships for patient safety in internet hospitals from a system perspective, using mixed methods of qualitative and quantitative analysis. This study constructed a comprehensive indicator system of patient safety risk factors in internet hospitals by qualitative analysis using the Patient Safety Systems (SEIPS) model as
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A qualitative study on pharmacists’ perceptions about service innovation Health Policy Tech. (IF 3.4) Pub Date : 2024-08-10 Artemisa R. Dores, Miguel Peixoto, Irene P. Carvalho, Maria Castro, António Marques
Expanded services provided at pharmacies show numerous improvements in health outcomes. However, attempts at implementing new services in pharmacies are met with several barriers, among which is the failure to update the pharmacist's role. This study aimed to explore pharmacists’ perceptions about the role of pharmacies and the effects of, and barriers to, service expansion. Four focus groups were
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Guide for the efficient and safe delivery of Telepharmacy Health Policy Tech. (IF 3.4) Pub Date : 2024-08-10 R. Collado-Borell, M. Gomis-Pastor, MA. Rodríguez-Cabezas, A. Parro-Martín, A. Linares-Alarcón, E. Gutiérrez, E. González-Corominas, A. Fernández-Polo, M. Domínguez-Cantero, A. Arrondo-Velasco, R. Morillo-Verdugo
This study aims to develop a guide establishing the requirements for developing and implementing telepharmacy in Hospital Pharmacy Services (HPS). A secondary objective is providing a reference frame to promote and allocate the necessary resources. The project was developed in 5 phases from May-October 2021: (1) constitution of a working team; (2) literature review; (3) semi-structured interviews using
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'Where have my patients gone?': A simulation study on real-world data processing in Clinical Data Warehouses Health Policy Tech. (IF 3.4) Pub Date : 2024-08-02 Sonia Priou, Emmanuelle Kempf, Rémi Flicoteaux, Marija Jankovic, Gilles Chatellier, Christophe Tournigand, Christel Daniel, Guillaume Lamé
To access Electronic Health Record (EHR) data, hospitals have implemented Clinical Data Warehouses (CDWs) using Extract Transform and Load (ETL) processes. While ETL performances are typically evaluated individually, our study examines the cumulative impact of ETLs on data availability. Using a real multi-hospital CDW as a case study, we modeled EHR data processing from the software sources to the
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Defining change: Exploring expert views about the regulatory challenges in adaptive artificial intelligence for healthcare Health Policy Tech. (IF 3.4) Pub Date : 2024-07-15 Yves Saint James Aquino, Wendy A. Rogers, Susannah Louise Sage Jacobson, Bernadette Richards, Nehmat Houssami, Maame Esi Woode, Helen Frazer, Stacy M. Carter
Continuously learning or adaptive artificial intelligence (AI) applications for screening, diagnostic and other clinical services are yet to be widely deployed. This is partly due to existing device regulation mechanisms that are not fit for purpose regarding the adaptive features of AI. This study aims to identify the challenges in and opportunities for the regulation of adaptive features of AI. We
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Recommended exercises for lower back pain on YouTube videos; Are they useful or harmful? Health Policy Tech. (IF 3.4) Pub Date : 2024-07-14 Rabia Aydogan Baykara, Nevsun Pıhtılı Taş
Low back pain (LBP), a common public health problem affecting nearly 80 % of the population, causes disability and work absence, while exercise is recommended as an adjuvant treatment. YouTube is one of the most frequently used source of information, especially by patients. The aim of the study was to analyze clinically the reliability, feasibility and the content quality of exercises videos recommended
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Health technology assessments of new specialized therapies: A typology of key challenges and potential policy solutions Health Policy Tech. (IF 3.4) Pub Date : 2024-07-14 Sarah Wadmann, Malene S. Sørensen, Betina Højgaard
Current transformations in the pharmaceutical sector raise pressing questions about what is considered acceptable evidence for the effects of new therapies. This article aims to identifying key challenges in clinical effectiveness evaluation of new therapies and discuss possible policy responses to these challenges. The study builds on a systematic review of the 41 appraisals issued in 2019 by the
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The status of the AI medical industry in China: A database and statistical analysis Health Policy Tech. (IF 3.4) Pub Date : 2024-07-14 Siwen Zhang, Zhe Huang, Guihong Feng, Xiaowen Yuan, Qi Zhang, Zicheng Wang, Yuwen Chen
Artificial intelligence (AI) technology has developed rapidly in recent years, leading to exponential growth in the AI medical industry. However, a comprehensive investigation of approved medical devices in China is needed. We utilized a web crawler to collect data on all medical devices from the China National Medical Products Administration website since 2018. Through natural language processing
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The impact of the COVID-19 pandemic on satisfaction with healthcare services in Türkiye Health Policy Tech. (IF 3.4) Pub Date : 2024-07-10 Zeynep B. Uğur, Aysenur Durak
This study aims at evaluating whether the healthcare system in Turkey performed well or not from the perspective of patients during the COVID-19 pandemic. For this purpose, we compare the satisfaction with healthcare services pre-pandemic and during the pandemic. We utilize the Life Satisfaction Survey conducted by Turkish Statistical Institute (TurkStat) between 2013 and 2021 and employ probit regression
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Senior employment technology: Leveraging opportunities in population ageing Health Policy Tech. (IF 3.4) Pub Date : 2024-06-12 Zhaohui Su, Barry L. Bentley, Dean McDonnell, Tumaresi Alimu, Wenjie Dai, Jianlin Jiang, Yifan Liu, Xin Yu, Yujuan Feng, Ya Diao, Dawadanzeng, Xinxin Wu, Sajidai Kadier, Patiguli Milawuti, Ali Cheshmehzangi, Xiao Zhang, Claudimar Pereira da Veiga, Yu-Tao Xiang
Rapid population ageing, compounded by declines in the younger workforce that could offer timely caregiving assistance, is undermining society's ability to effectively and sufficiently protect people's health and quality of life as they grow old. This paper explores the promise of senior employment technology, a group of technological innovations that have the potential to alleviate or even eliminate
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Estimating a cost-effectiveness threshold for healthcare decision-making in the Greek NHS Health Policy Tech. (IF 3.4) Pub Date : 2024-06-12 Kostas Athanasakis, Giannis Agorastos, Ilias Kyriopoulos
The introduction of new health technologies improves quality of life and longevity, but also imposes additional strains in the scarce resources of the health system. Consequently, decisions on the adoption of new technologies are typically based, among other criteria, on the difference between costs and outcomes among competing alternatives. This paper aims to estimate a cost-effectiveness threshold
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Evaluating dyNamic myocardial blood flow qUantitation as a Cost-effective care modeL for diabEtic patients with coronary artery diSease (NUCLEuS): A randomized controlled trial – Rationale and Design Health Policy Tech. (IF 3.4) Pub Date : 2024-06-12 Jie Jun Wong, Louis LY Teo, Fei Gao, Liang Zhong, Weimin Huang, Nicholas Graves, Ru-San Tan, Terrance SJ Chua, Felix JY Keng, Angela S. Koh
Recent advancements in quantifying myocardial blood flow (MBF) and coronary flow reserve using dynamic SPECT MPI have demonstrated comparable hemodynamic correlations with invasive angiography and PET. Implementation into routine practice, however, imposes attendant demands on resources. Diabetes mellitus is a rising pandemic associated with accelerated atherosclerosis, yet there is potential for under-detection
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Digital lifestyle interventions for cardiovascular risk reduction: A systematic review and network meta-analysis Health Policy Tech. (IF 3.4) Pub Date : 2024-06-06 Teketo Kassaw Tegegne, Desalegn Markos Shifti, Jonathan Charles Rawstorn, Paul Jansons, Yuxin Zhang, Reza Daryabeygikhotbehsara, Sheikh Mohammed Shariful Islam, Ralph Maddison
To compare the relative effectiveness of different digital lifestyle interventions in improving cardiovascular risk factors. A comprehensive systematic review and network meta-analysis (NMA) of randomized controlled trials (RCTs) was conducted. Seven electronic databases were searched from 1990 to April 4, 2024. The certainty of evidence was evaluated using the Grading of Recommendations, Assessment
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“Following the data”: Perceptions of and willingness to use clinical decision support tools to inform HIV care among Haitian clinicians Health Policy Tech. (IF 3.4) Pub Date : 2024-06-05 Andrew M. Secor, John Justafort, Chenet Torrilus, Jean Guy Honoré, Sharon Kiche, Tracy K. Sandifer, Kristin Beima-Sofie, Anjuli D. Wagner, Jillian Pintye, Nancy Puttkammer
Clinical decision support (CDS) tools can support HIV care, including through case tracking, treatment and medication monitoring, and promoting provider compliance with care guidelines. There has been limited research into the technical, organizational, and behavioral factors that impact perceptions of and willingness to use CDS tools at scale in resource-limited settings, including in Haiti. Our sample
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How do self-motivation and social motivation contribute to consumers’ acceptance of m-health services? Health Policy Tech. (IF 3.4) Pub Date : 2024-06-05 Da Tao, Kaifeng Liu
The study aimed to propose a unified model integrating the technology acceptance model (TAM), social-determination theory (SDT), and social motivation to examine the roles of self-motivation (i.e., autonomy, relatedness, and competency) and social motivation (i.e., social influence and social recognition) in consumer acceptance of m-health services. In addition, the study aimed to explore whether relationships
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COVID-19 in Polish-language social media - misinformation vs government information Health Policy Tech. (IF 3.4) Pub Date : 2024-05-15 Przemysław Waszak, Ewelina Łuszczak, Paweł Zagożdżon
During the COVID-19 pandemic, a surge of conspiracy theories and misinformation proliferated across social media platforms. Recognizing the severity of the issue, medical associations began to regard it as a significant threat to public health systems. The objective of this study was to quantify the proportion of COVID-19 misinformation and official government information within the most frequently
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Societal preferences for granting orphan drugs special status in reimbursement decisions Health Policy Tech. (IF 3.4) Pub Date : 2024-05-12 Vivian Reckers-Droog, Lucas Goossens, Job van Exel, Werner Brouwer
Orphan drugs, for patients with a rare disease, are increasingly available but often do not meet standard cost-effectiveness criteria for reimbursement. Consequently, policymakers regularly face the dilemma whether to relax these criteria for reimbursing orphan drugs. We examined whether—and why—there would be societal support for such differential treatment of orphan drugs. We conducted a labelled
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Acceptability of Chinese Medicine Information Sharing in electronic Health Record Sharing System (eHRSS) in Chinese medicine practitioners: A mixed-method study Health Policy Tech. (IF 3.4) Pub Date : 2024-05-07 Junjie Huang, Sze Chai Chan, Fung Yu Mak, Yuet Yan Wong, Corey Lam, Kam Fung Chung, Luva Lui, Clement SK Cheung, Wing Nam Wong, Ngai Tseung Cheung, Martin CS Wong
The Stage Two Development of eHRSS aimed to broaden the scope of sharable data and advance technical capability for sharing of Chinese Medicine (CM) information. This study aims to evaluate the adoption level and perceived difficulties of Chinese medicine practitioners (CMPs) towards EC Connect, and its impact on CM services.
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Broadening the HTA of medical AI: A review of the literature to inform a tailored approach Health Policy Tech. (IF 3.4) Pub Date : 2024-05-04 Bart-Jan Boverhof, W. Ken Redekop, Jacob J. Visser, Carin A. Uyl-de Groot, Maureen P.M.H. Rutten-van Mölken
As current health technology assessment (HTA) frameworks do not provide specific guidance on the assessment of medical artificial intelligence (AI), this study aimed to propose a conceptual framework for a broad HTA of medical AI. A systematic literature review and a targeted search of policy documents was conducted to distill the relevant medical AI assessment elements. Three exemplary cases were
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Access and use of mobile health applications among Medicaid-insured pregnant and postpartum individuals Health Policy Tech. (IF 3.4) Pub Date : 2024-04-26 Naleef Fareed, Shirley Dong, Jiqiang Wu, Anastasia Matthews, Anna Bartholomew, Courtney D. Lynch, William A Grobman, Kartik K Venkatesh
Mobile health applications can address health disparities in prenatal care due to adverse social determinants of health We assessed the uptake and use of, preferences for, and barriers to mobile health applications among Medicaid-insured pregnant and postpartum individuals enrolled in prenatal care from March to May 2021. Medicaid-insured pregnant and postpartum individuals frequently used (56 %) and
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Are telephone-triage services less safe and efficient for managing unplanned care needs of older adults? Health Policy Tech. (IF 3.4) Pub Date : 2024-04-04 Farah Islam, Pieter Heeren, Marc Sabbe, Koen Milisen
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Payments to healthcare organisations reported by the medical device industry in Europe from 2017 to 2019: An observational study Health Policy Tech. (IF 3.4) Pub Date : 2024-03-24 James Larkin, Shai Mulinari, Piotr Ozieranski, Kevin Lynch, Tom Fahey, Akihiko Ozaki, Frank Moriarty
Medical device industry payments to healthcare organisations (HCOs) can create conflicts of interest which can undermine patient care. One way of addressing this concern is by enhancing transparency of industry financial support to HCOs. , a medical device trade body, operate a system of disclosure of education payments to European HCOs. This study aimed to characterise payments reported in this database
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The relationship between treatment burden and the use of telehealth technologies among patients with chronic conditions: A scoping review Health Policy Tech. (IF 3.4) Pub Date : 2024-02-23 Farah Tahsin, Tamara Bahr, James Shaw, Aviv Shachak, Carolyn Steele Gray
Patients managing chronic conditions often face significant treatment burdens due to the long-term nature of their care. Treatment burden refers to the workload associated with the self-management of chronic conditions. While telehealth is commonly used to support these patients, there is a growing concern about its impact on marginalized patient populations. Specifically, we lack a comprehensive overview
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Novel data visualization method to measure alert efficiency in computerized physician order entry (CPOE) system Health Policy Tech. (IF 3.4) Pub Date : 2024-02-20 Shuo-Chen Chien, Chia-Hui Chien, Chun-You Chen, Yen-Po (Harvey) Chin, Po-Han Chien, Chun-Kung Hsu, Hsuan-Chia Yang, Yu-Chuan (Jack) Li
To introduce a novel visualization technique for evaluating the efficacy of clinical decision support system (CDSS) alerts as perceived by physicians and to differentiate between various alert categories for optimization. We developed a visualization method, which segments into four distinct zones: Appropriate (+/+), Over-frequent yet Effective (−/+), Potentially Problematic (−/−), and Less Effective
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Bias due to re-used databases: Coding in hospital for extremely vulnerable patients Health Policy Tech. (IF 3.4) Pub Date : 2024-02-17 Carine Milcent
This paper interrogates bias caused by heterogeneity in coding processes through an analysis of electronic medical records EMR databases in France. In general, researchers and professionals often apply data not only for its primary function but also for multiple alternative purposes. However, how they code information might be inconsistent with alternative purposes that exploit existing databases.
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Provider perspectives on healthcare provision via telemedicine to persons with HIV living in an urban community Health Policy Tech. (IF 3.4) Pub Date : 2024-02-16 Reetu Grewal, Ross Jones, Fern Webb, Selena Webster-Bass, Jessica Peters, Carmen Smotherman, Deborah Gelaude
Engaging in HIV care is key to maintaining successful health outcomes for persons with HIV (PWH). Barriers to care affect engagement and can include access to transportation. Telemedicine has been used to overcome geographical barriers in rural settings, and PWH in urban areas without public transportation can also benefit from this strategy. The aim of this research is to explore the attitudes of
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The interplay between global health policy and vaccination strategies in the shift towards COVID-19 endemicity Health Policy Tech. (IF 3.4) Pub Date : 2024-02-13 Marcello Antonini, Ayman Fouda, Madeleine Hinwood, Adrian Melia, Francesco Paolucci
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Working with epistemic uncertainties: Emerging entanglements within conditional reimbursement practices Health Policy Tech. (IF 3.4) Pub Date : 2024-02-13 Rik Wehrens, Bert de Graaff
HTA agencies are experimenting with conditional reimbursement approaches allowing greater flexibility to cope with epistemic uncertainties generated by new health technologies and pharmaceuticals lacking evidence. While some research into promises and effects of conditional reimbursement is conducted, little empirical research investigates how such policies play out in practice. In this paper, we analyze
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Public preferences for vaccination campaigns in the COVID-19 endemic phase: insights from the VaxPref database Health Policy Tech. (IF 3.4) Pub Date : 2024-02-08 Marcello Antonini, Mesfin G. Genie, Arthur E. Attema, Katie Attwell, Zsolt J. Balogh, Daiga Behmane, Chiara Berardi, Shuli Brammli-Greenberg, Andrew Greenland, Terje P. Hagen, Madeleine Hinwood, Carole James, Adrian Kellner, Brian Kelly, Liubovė Murauskienė, Neil McGregor, Alessia Melegaro, Naomi Moy, Ana Rita Sequeira, Renu Singh, Aleksandra Torbica, Jeremy K. Ward, Dongyue Yang, Francesco Paolucci
Despite widespread perceptions that SARS-CoV-2 (COVID-19) is no longer a significant threat, the virus continues to loom, and new variants may require renewed efforts to control its spread. Understanding how individual preferences and attitudes influence vaccination behaviour and policy compliance in light of the endemic phase is crucial in preparation for this scenario. This paper presents descriptive
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Public database on pharmaceutical ties in Japan: Traffic and user attitudes on industry-professional relationships Health Policy Tech. (IF 3.4) Pub Date : 2024-02-02 Yosuke Suzuki, Anju Murayama, Akihiko Ozaki, Hiroaki Saito, Toyoaki Sawano, Erika Yamashita, Tetsuya Tanimoto
It is imperative to understand the specific details of the usage of the databases documenting financial ties between pharmaceutical companies and the healthcare sector and the attitudes of such database in evaluating how the citizens would recognize this issue. This study aimed to elucidate usage patterns and user attitudes regarding value transfers by analyzing data from the Yen For Docs Database
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Apps don't work for patients who don't use them: Towards frameworks for digital therapeutics adherence Health Policy Tech. (IF 3.4) Pub Date : 2024-02-01 David G. Schwartz, Sivan Spitzer, Michael Khalemsky, Arturo Heyner Cano-Bejar, Soumya Ray, Jeng-Yuan Chiou, Rizan Sakhnini, Raya Lanin, Menachem M. Meir, Ming-Che Tsai
Digital therapeutics such as mobile health applications (mHealth apps) are becoming part of patients’ treatment programs. Ensuring patients actually use (adhere to) an app as prescribed, effectively measuring and interpreting usage, and detecting clinical non-compliance are fundamental to effective treatment. Clinicians are not currently prepared to deal with issues of patients’ adherence to digital
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The social media Infodemic of health-related misinformation and technical solutions Health Policy Tech. (IF 3.4) Pub Date : 2024-01-30 Flinta Rodrigues, Richard Newell, Giridhara Rathnaiah Babu, Tulika Chatterjee, Nimrat Kaur Sandhu, Latika Gupta
This paper discusses the role of social media algorithms in the spread of misinformation during the COVID-19 pandemic. It aims to propose solutions to combat misinformation and promote accurate, evidence-based public health information.
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Perspectives and use of telemedicine by doctors in India: A cross-sectional study Health Policy Tech. (IF 3.4) Pub Date : 2024-01-26 Vikranth H. Nagaraja, Biswanath Ghosh Dastidar, Shailesh Suri, Anant R. Jani
India has committed to formulating a roadmap for realising a resilient health system, with digital health being an important element. Following the successful implementation of a free telemedicine service, eSanjeevani, India published the Telemedicine Practice Guidelines in 2020 to scale telemedicine use in India. The current study aims to understand the perspective and use of telemedicine by medical
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Increase in the number of female physicians and the geographical maldistribution of physicians in Japan Health Policy Tech. (IF 3.4) Pub Date : 2024-01-14 Kunichika Matsumoto, Kanako Seto, Yosuke Hatakeyama, Ryo Onishi, Koki Hirata, Tomonori Hasegawa
: In recent years, the geographical maldistribution of physicians has become a major problem in Japan, and prefectures are formulating plans to secure additional physicians. During the same period, the percentage of female physicians in Japan has been continuously increasing, and they now account for 40 % of the total enrollment in medical schools. The purpose of this study is to clarify the impact
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Applying artificial intelligence to clinical decision support in mental health: What have we learned? Health Policy Tech. (IF 3.4) Pub Date : 2024-01-12 Grace Golden, Christina Popescu, Sonia Israel, Kelly Perlman, Caitrin Armstrong, Robert Fratila, Myriam Tanguay-Sela, David Benrimoh
Clinical decision support systems (CDSS) augmented with artificial intelligence (AI) models are emerging as potentially valuable tools in healthcare. Despite their promise, the development and implementation of these systems typically encounter several barriers, hindering the potential for widespread adoption. Here we present a case study of a recently developed AI-CDSS, Aifred Health, aimed at supporting
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The Heterogeneous Influences of Online Health Information Seeking on Aspirin Use for Cardiovascular Disease Prevention Health Policy Tech. (IF 3.4) Pub Date : 2024-01-12 Jingrong Zhu, Yunfeng Shi, Yi Cui, Wei Yan
The internet has become an important source of health information for the general population. Previous research has shown that online health information seeking is associated with medication adherence. However, the direction of this relationship is still a matter of dispute. Even less is known about the factors that moderate such a relationship. To investigate the heterogeneous influences of online
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Acceptability of gynecologic e-health modalities by Hispanic/Latina women of reproductive age Health Policy Tech. (IF 3.4) Pub Date : 2024-01-11 Ariana Alvarado, Paola Ramos-Echevarría, Ariana C. Cotto-Vázquez, Stephanie Núñez-González, Cristina I. Nieves-Vázquez, Carlos R. Sierra, Loraine Más-Vayas, Denisse M. Soto-Soto, Astrid Llorens, Chantelle Bell, Anya Roy, Idhaliz Flores
Electronic health (e-Health) modalities effectively address healthcare access limitations; however, there are limited data on their adoption by Hispanic/Latina women who are disproportionally affected by health disparities. We conducted a cross-sectional study by disseminating an anonymous electronic questionnaire via social media to assess the perception of Hispanic/Latina women of reproductive age
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Telemedicine decision-making in primary care during the COVID-19 pandemic: Balancing patient agency and provider expertise Health Policy Tech. (IF 3.4) Pub Date : 2024-01-09 Kimberly A. Muellers, Katerina Andreadis, Rahma S. Mkuu, Jenny J. Lin, Carol R. Horowitz, Rainu Kaushal, Jessica S. Ancker
The COVID-19 pandemic precipitated the expansion of telemedicine use worldwide, introducing a new dimension of healthcare decision-making – choosing a visit format – not previously experienced by most patients or providers. To date, the pandemic's impact on decisions about using telemedicine versus in-person visits in primary care has not been fully explored. The purpose of this study was to examine
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Opportunities and challenges of promoting integrated care through digitalisation–Learning lessons from large-scale national programmes in England Health Policy Tech. (IF 3.4) Pub Date : 2024-01-09 Kathrin Cresswell, Stuart Anderson, Andrey M. Elizondo, Robin Williams
There is a growing global interest in integrating health and care through digitalisation. However, many ambitious digitalisation initiatives in the healthcare sector fail to achieve their intended outcomes. One contributing factor is the failure to apply lessons learned from past endeavours. We here leverage the experiences gained from large-scale digitalisation efforts within the National Health Service
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Acute care disruptions due to information technology failures in the Netherlands from 2000 to 2020 Health Policy Tech. (IF 3.4) Pub Date : 2024-01-09 Liselotte S. van Boven, Renske W.J. Kusters, Vincent W. Klokman, Christian Dameff, Dennis G. Barten
Healthcare organizations are becoming increasingly dependent on Information technology (IT) for the provision of routine services. IT failures within hospital systems can impact acute patient care, including emergency department (ED) closure operating room (OR) stops.. The aim of this study is to gain insight into the impact of hospital IT failures in the Netherlands on acute care delivery and to provide
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Identification and classification of indicators for evaluating health information systems Health Policy Tech. (IF 3.4) Pub Date : 2023-12-07 Habibeh Norouzi, Mohammad Hossein Mehrolhassani, Sadrieh Hajesmaeel-Gohari, Leila Ahmadian, Mohammad Mehdi Ghaemi, Mehdi Mohammadi, Reza Khajouei
Several evaluation methods are used to determine the advantages and disadvantages of healthcare information systems and their contribution to attaining organizational goals. Despite the existence of many evaluation frameworks, there is no comprehensive set of indicators that evaluate different dimensions of information systems. This study aimed to develop a set of indicators for evaluating health information
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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] Health Policy Tech. (IF 3.4) Pub Date : 2023-11-18 Daniel L. Young, Rebecca Engels, Elizabeth Colantuoni, Lisa Aronson Friedman, Erik H. Hoyer
None
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Corrigendum to ‘Towards a universal patient-centric health record sharing platform’ [Health Policy and Technology 12 (2023) 100819] Health Policy Tech. (IF 3.4) Pub Date : 2023-11-18 Mana Azarm, Rebecca Meehan, Craig Kuziemsky
Abstract
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Challenges and opportunities in establishing a regional biobank center in a developing country: A case from the Philippines Health Policy Tech. (IF 3.4) Pub Date : 2023-11-14 Gerard G. Dumancas, Khalil Frederik K. Smith, Adrienne Marrie Bugayong-Janagap, Pia Regina Fatima C. Zamora, Victor Marco Emmanuel N. Ferriols, Aretha G. Liwag, Joselito F. Villaruz, Ma. Luz Vicenta V. Guanzon, Hans Francis D. Ferraris, Terry Rodney Jr, Romulo de Castro
Biobanking has paved the way for significant biomedical advancements which could be very advantageous for a developing nation like the Philippines. Current challenges faced by the existing biobank in the country suggest the need for satellite biobanks. The main objective of this manuscript was to summarize various important factors to consider in the establishment of a regional biobank in a developing
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Artificial intelligence for patient scheduling in the real-world health care setting: A metanarrative review Health Policy Tech. (IF 3.4) Pub Date : 2023-11-12 Dacre R.T. Knight, Christopher A. Aakre, Christopher V. Anstine, Bala Munipalli, Parisa Biazar, Ghada Mitri, Jose Raul Valery, Tara Brigham, Shehzad K. Niazi, Adam I. Perlman, John D. Halamka, Abd Moain Abu Dabrh
Objectives 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. Methods
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A national survey of physicians regarding protection of patient privacy in China Health Policy Tech. (IF 3.4) Pub Date : 2023-11-10 Zhongzhou Xiao, Wei Zhai, Xinwei Peng, Yun Zhong, Shuqing Luo, Ruiyao Chen, Lu Lu, Yijue Zhang, Jie Xu
Objectives 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
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Vaccine uptake and effectiveness: Why some African countries performed better than the others? Health Policy Tech. (IF 3.4) Pub Date : 2023-10-24 Aregawi G. Gebremariam, Dereje Abegaz, Halefom Y. Nigus, Thomas Lemma Argaw, Mulusew Gerbaba, Mesfin G. Genie, Francesco Paolucci
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Telemedicine implementation framework for Malaysia: An integrated SWOT-MCDM approach Health Policy Tech. (IF 3.4) Pub Date : 2023-10-13 Siti Norida Wahab, Jagroop Singh, Nikram Subramaniam
Objectives 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. Methods The study proposes an integrated
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Towards a universal patient-centric health record sharing platform Health Policy Tech. (IF 3.4) Pub Date : 2023-10-14 Mana Azarm, Rebecca Meehan, Craig Kuziemsky
Objectives 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
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Must the ICMJE and COPE guidelines and/or recommendations be interpreted (and used) as voluntary advice or as mandatory rules? Health Policy Tech. (IF 3.4) Pub Date : 2023-10-12 Jaime A. Teixeira da Silva
Abstract not available