Trust in Health Technologies

Author(s):  
Enid Montague ◽  
John Lee
Keyword(s):  
2020 ◽  
Vol 1 (4) ◽  
pp. 119-125
Author(s):  
A. R. SKRIPNIK ◽  

The article defines the relevance of clinical and economic research in assessing health technologies in Russia. Publications based on the results of clinical and economic research are analyzed. The main methods used in analyzing the feasibility of implementing technology in the health care system are identified. Identified shortcomings of current studies, their methodological quality and of the current normative-legal acts.


Impact ◽  
2017 ◽  
Vol 2017 (6) ◽  
pp. 34-35
Author(s):  
Jamie Bay Nishi

Author(s):  
Emily G. Lattie ◽  
Rachel Kornfield ◽  
Kathryn E. Ringland ◽  
Renwen Zhang ◽  
Nathan Winquist ◽  
...  

Author(s):  
Kudakwashe Dube ◽  
Scott McLachlan ◽  
Ngonidzashe Zanamwe ◽  
Evangelia Kyrimi ◽  
Jasmine S Thomson ◽  
...  

2021 ◽  
Vol 2021 (8) ◽  
Author(s):  
Marah Elfghi ◽  
Denise Dunne ◽  
Jennifer Jones ◽  
Irene Gibson ◽  
Gerard Flaherty ◽  
...  

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Davide Piaggio ◽  
Rossana Castaldo ◽  
Marco Cinelli ◽  
Sara Cinelli ◽  
Alessia Maccaro ◽  
...  

Abstract Background To date (April 2021), medical device (MD) design approaches have failed to consider the contexts where MDs can be operationalised. Although most of the global population lives and is treated in Low- and Middle-Income Countries (LMCIs), over 80% of the MD market share is in high-resource settings, which set de facto standards that cannot be taken for granted in lower resource settings. Using a MD designed for high-resource settings in LMICs may hinder its safe and efficient operationalisation. In the literature, many criteria for frameworks to support resilient MD design were presented. However, since the available criteria (as of 2021) are far from being consensual and comprehensive, the aim of this study is to raise awareness about such challenges and to scope experts’ consensus regarding the essentiality of MD design criteria. Results This paper presents a novel application of Delphi study and Multiple Criteria Decision Analysis (MCDA) to develop a framework comprising 26 essential criteria, which were evaluated and chosen by international experts coming from different parts of the world. This framework was validated by analysing some MDs presented in the WHO Compendium of innovative health technologies for low-resource settings. Conclusions This novel holistic framework takes into account some domains that are usually underestimated by MDs designers. For this reason, it can be used by experts designing MDs resilient to low-resource settings and it can also assist policymakers and non-governmental organisations in shaping the future of global healthcare.


Author(s):  
Pedro Galvan ◽  
José Ortellado ◽  
Ronald Rivas ◽  
Juan Portillo ◽  
Julio Mazzoleni ◽  
...  

IntroductionInnovative health technologies, like telemedicine, offer advantageous telediagnostic apps that can improve the health care of populations in remote regions. However, evidence on how these developments can enhance universal coverage for electrocardiographic (ECG) diagnosis to support a cardiovascular disease prevention program is limited. The utility of telemedicine for attaining universal coverage for ECG diagnosis according to the national cardiovascular disease prevention program in Paraguay was investigated.MethodsThis cross-sectional survey included adults (aged 19 to 80 years) and children (aged 1 to 18 years) with a medical prescription. The study was carried out by the Telemedicine Unit to evaluate the utility of a telemedicine net for a countrywide detection and prevention program for cardiovascular disease. The results obtained by the tele-ECG net, which was implemented in sixty public hospitals countrywide, were analyzed and used to verify adherence to the cardiovascular prevention program.ResultsBetween 2014 and 2019, 331,418 remote ECG diagnoses were performed. Of these, eighty-two percent (n = 270,539) were in adults and eighteen percent (n = 60,879) were in children. Among the adult diagnoses, the majority (52%) were pathological and included sinus bradycardia (13%), right bundle branch block (6%), left ventricular hypertrophy (5%), and ventricle repolarization disorder (5%). Among the children, only twenty percent of diagnoses pathological and included sinus bradycardia (11%) and sinus tachycardia (4%). The mean rate of adherence to the prevention program was 38.2 per 1,000 diagnoses performed.ConclusionsThe results showed that telemedicine can significantly enhance coverage for universal ECG diagnosis to support cardiovascular disease prevention and health programs. However, before carrying out the systematic implementation of such a program contextualization using the regional epidemiological profile must be performed.


2021 ◽  
Vol 2 (1) ◽  
Author(s):  
James O. E. Pittman ◽  
Borsika Rabin ◽  
Erin Almklov ◽  
Niloofar Afari ◽  
Elizabeth Floto ◽  
...  

Abstract Background The Veterans Health Administration (VHA) developed a comprehensive mobile screening technology (eScreening) that provides customized and automated self-report health screening via mobile tablet for veterans seen in VHA settings. There is agreement about the value of health technology, but limited knowledge of how best to broadly implement and scale up health technologies. Quality improvement (QI) methods may offer solutions to overcome barriers related to broad scale implementation of technology in health systems. We aimed to develop a process guide for eScreening implementation in VHA clinics to automate self-report screening of mental health symptoms and psychosocial challenges. Methods This was a two-phase, mixed methods implementation project building on an adapted quality improvement method. In phase one, we adapted and conducted an RPIW to develop a generalizable process guide for eScreening implementation (eScreening Playbook). In phase two, we integrated the eScreening Playbook and RPIW with additional strategies of training and facilitation to create a multicomponent implementation strategy (MCIS) for eScreening. We then piloted the MCIS in two VHA sites. Quantitative eScreening pre-implementation survey data and qualitative implementation process “mini interviews” were collected from individuals at each of the two sites who participated in the implementation process. Survey data were characterized using descriptive statistics, and interview data were independently coded using a rapid qualitative analytic approach. Results Pilot data showed overall satisfaction and usefulness of our MCIS approach and identified some challenges, solutions, and potential adaptations across sites. Both sites used the components of the MCIS, but site 2 elected not to include the RPIW. Survey data revealed positive responses related to eScreening from staff at both sites. Interview data exposed implementation challenges related to the technology, support, and education at both sites. Workflow and staffing resource challenges were only reported by site 2. Conclusions Our use of RPIW and other QI methods to both develop a playbook and an implementation strategy for eScreening has created a testable implementation process to employ automated, patient-facing assessment. The efficient collection and communication of patient information have the potential to greatly improve access to and quality of healthcare.


Author(s):  
Marian Sorin Paveliu ◽  
Elena Olariu ◽  
Raluca Caplescu ◽  
Yemi Oluboyede ◽  
Ileana-Gabriela Niculescu-Aron ◽  
...  

Objective: To provide health-related quality of life (HRQoL) data to support health technology assessment (HTA) and reimbursement decisions in Romania, by developing a country-specific value set for the EQ-5D-3L questionnaire. Methods: We used the cTTO method to elicit health state values using a computer-assisted personal interviewing approach. Interviews were standardized following the most recent version of the EQ-VT protocol developed by the EuroQoL Foundation. Thirty EQ-5D-3L health states were randomly assigned to respondents in blocks of three. Econometric modeling was used to estimate values for all 243 states described by the EQ-5D-3L. Results: Data from 1556 non-institutionalized adults aged 18 years and older, selected from a national representative sample, were used to build the value set. All tested models were logically consistent; the final model chosen to generate the value set was an interval regression model. The predicted EQ-5D-3L values ranged from 0.969 to 0.399, and the relative importance of EQ-5D-3L dimensions was in the following order: mobility, pain/discomfort, self-care, anxiety/depression, and usual activities. Conclusions: These results can support reimbursement decisions and allow regional cross-country comparisons between health technologies. This study lays a stepping stone in the development of a health technology assessment process more driven by locally relevant data in Romania.


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