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Journal articles on the topic 'Evaluation of health systems'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

KHURSHEED, JWAN F., and AHMED H. ALI. "Evaluation of Management Information Systems in Health Organizations Case Study (Kirkuk Health Directorate)." Journal of Research on the Lepidoptera 51, no. 1 (2020): 30–47. http://dx.doi.org/10.36872/lepi/v51i1/301004.

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Tan, Xiaodong, Jing Qiu, Guanjun Liu, and Kehong Lv. "Health‐state evaluation for aerospace systems." Aircraft Engineering and Aerospace Technology 85, no. 2 (2013): 115–25. http://dx.doi.org/10.1108/00022661311302724.

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3

Nøhr, C. "Evaluation of Electronic Health Record Systems." Yearbook of Medical Informatics 15, no. 01 (2006): 107–13. http://dx.doi.org/10.1055/s-0038-1638481.

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SummaryThe objective of this article is to present an overview of the various considerations to be made prior to evaluating electronic health record (EHR) systems.From the methodological literature, a number of themes for decisions are presented and related to the contemporary EHR situation. Special attention is paid to a number of important methodological themes.Definitive checklists for evaluation of EHR systems can not be recommended, but seven key steps are listed to guide the design of evaluation projects.It is concluded that the issues presented are not completely exhausted and the seven

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Bréant, C. "Health Information Systems." Yearbook of Medical Informatics 21, no. 01 (2012): 79–82. http://dx.doi.org/10.1055/s-0038-1639435.

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SummarySummarize excellent current research in the field of Health Information Systems.Synopsis of the articles selected for the IMIA Yearbook 2012.Three papers from international peer reviewed journals have been selected for the section on health information systems.The selected articles illustrate current research regarding health IT impacts and evaluation and the latest developments in health information exchange.

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Cuggia, M., and L. Toubiana. "Health Information Systems." Yearbook of Medical Informatics 22, no. 01 (2013): 114–16. http://dx.doi.org/10.1055/s-0038-1638841.

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Summary Objectives: Summarize excellent current research in the field of Health Information Systems. Method: Synopsis of the articles selected for the IMIA Yearbook 2013. Results: Five papers from international peer reviewed journals have been selected for the section on health information systems. Conclusions: The selected articles illustrate current research regarding health information technology (IT) impacts and evaluation and the latest developments in health information exchange.

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6

Shelowi, Haila AL. "Health Policy and Planning in Health Management System." Journal of Medical Science And clinical Research 11, no. 11 (2023): 89–93. http://dx.doi.org/10.18535/jmscr/v11i11.12.

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Health policy and planning play pivotal roles in the effective management of healthcare systems. These aspects encompass the formulation, implementation, and evaluation of strategies and regulations to optimize healthcare delivery. Robust health policies ensure equitable access, quality care, and cost-effectiveness, while planning entails resource allocation, infrastructure development, and workforce distribution. Successful health management systems hinge on evidence-based policies, stakeholder engagement, and adaptability to evolving health challenges. This abstract highlights the critical i

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Meadows, Susan. "Human Factors Applications to Health Care Systems." Proceedings of the Human Factors Society Annual Meeting 33, no. 17 (1989): 1167. http://dx.doi.org/10.1518/107118189786757923.

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This demonstration program shows how human factors design and evaluation principles can be applied to the area of medical device and healthcare systems. The objective is to provide examples of evaluations and new designs for healthcare products which reduce human error and improve medical devices and instructional materials. International performance and design standards incorporating human factors principles are gaining more attention because of the efforts of the European medical device industry to standardize products.

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8

Kim, Sejin, Sangmi T. Lee, Danbi Lee, and Bo Young Yoon. "Instructional Design for Systems Thinking Education in Health Systems Science." Korean Medical Education Review 25, no. 3 (2023): 212–28. http://dx.doi.org/10.17496/kmer.23.023.

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Systems thinking, a linking domain of health systems science (HSS), is an approach that investigates specific problems from a holistic perspective. It supports improving patients’ health, fulfilling their health needs, and anticipating issues that threaten patient safety within the healthcare system. It also helps solve problems through critical thinking and reflection. This study aimed to develop an curriculum on systems thinking, explore the effectiveness of the course, and investigate the applicability of HSS education at individual universities. In this study, the ADDIE (Analysis, Design,

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De Croon, Robin, Leen Van Houdt, Nyi Nyi Htun, Gregor Štiglic, Vero Vanden Abeele, and Katrien Verbert. "Health Recommender Systems: Systematic Review." Journal of Medical Internet Research 23, no. 6 (2021): e18035. http://dx.doi.org/10.2196/18035.

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Background Health recommender systems (HRSs) offer the potential to motivate and engage users to change their behavior by sharing better choices and actionable knowledge based on observed user behavior. Objective We aim to review HRSs targeting nonmedical professionals (laypersons) to better understand the current state of the art and identify both the main trends and the gaps with respect to current implementations. Methods We conducted a systematic literature review according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and synthesized the res

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10

Win, Khin Than. "Web-based personal health record systems evaluation." International Journal of Healthcare Technology and Management 7, no. 3/4 (2006): 208. http://dx.doi.org/10.1504/ijhtm.2006.008432.

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11

Hejduková, Pavlína, and Lucie Kureková. "National Health Systems’ Performance: Evaluation WHO Indicators." Procedia - Social and Behavioral Sciences 230 (September 2016): 240–48. http://dx.doi.org/10.1016/j.sbspro.2016.09.031.

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Yusof, Maryati Mohd, Anastasia Papazafeiropoulou, Ray J. Paul, and Lampros K. Stergioulas. "Investigating evaluation frameworks for health information systems." International Journal of Medical Informatics 77, no. 6 (2008): 377–85. http://dx.doi.org/10.1016/j.ijmedinf.2007.08.004.

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Häfner, Heinz, and Wolfram an der Heiden. "The Evaluation of Mental Health Care Systems." British Journal of Psychiatry 155, no. 1 (1989): 12–17. http://dx.doi.org/10.1192/bjp.155.1.12.

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While the demand for deinstitutionalisation, strongly supported by the economic aspect of the issue, has resulted in a steep decline in the number of psychiatric beds in many Western countries, the evaluation of extramural psychiatric care has several difficulties, including that of proving effectiveness without experimental control of confounding influences. For a cohort of schizophrenic patients we investigated the impact of outpatient psychiatric treatment on length of stay in hospital and length of stay in the community. Outpatient care had a significant influence on read mission, but no e

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14

Checinski, Ken, and Kim Goddard. "The evaluation of mental health care systems." British Journal of Psychiatry 156, no. 1 (1990): 129–30. http://dx.doi.org/10.1192/bjp.156.1.129b.

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15

Baghbanian, Abdolvahab, and Ghazal Torkfar. "Economics and resourcing of complex healthcare systems." Australian Health Review 36, no. 4 (2012): 394. http://dx.doi.org/10.1071/ah11041.

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With rapid increases in healthcare spending over recent years, health economic evaluation might be thought to be increasing in importance to decision-makers. Such evaluations are designed to inform the efficient management of healthcare resources. However, research into health policy decisions often report, at best, moderate use of economic evaluation information, especially at the local level of administration. Little attention seems to have been given to the question of why economic evaluations have been underused and why they may yield different results in different contexts. There are many

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DREWE, J. A., L. J. HOINVILLE, A. J. C. COOK, T. FLOYD, and K. D. C. STÄRK. "Evaluation of animal and public health surveillance systems: a systematic review." Epidemiology and Infection 140, no. 4 (2011): 575–90. http://dx.doi.org/10.1017/s0950268811002160.

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SUMMARYDisease surveillance programmes ought to be evaluated regularly to ensure they provide valuable information in an efficient manner. Evaluation of human and animal health surveillance programmes around the world is currently not standardized and therefore inconsistent. The aim of this systematic review was to review surveillance system attributes and the methods used for their assessment, together with the strengths and weaknesses of existing frameworks for evaluating surveillance in animal health, public health and allied disciplines. Information from 99 articles describing the evaluati

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17

Rüegg, Simon R., Liza Rosenbaum Nielsen, Sandra C. Buttigieg, et al. "A Systems Approach to Evaluate One Health Initiatives." Frontiers in Veterinary Science 5 (June 12, 2018): 23. https://doi.org/10.5281/zenodo.13410409.

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(Uploaded by Plazi for the Bat Literature Project) Challenges calling for integrated approaches to health, such as the One Health (OH) approach, typically arise from the intertwined spheres of humans, animals, and ecosystems constituting their environment. Initiatives addressing such wicked problems commonly consist of complex structures and dynamics. As a result of the EU COST Action (TD 1404) "Network for Evaluation of One Health" (NEOH), we propose an evaluation framework anchored in systems theory to address the intrinsic complexity of OH initiatives and regard them as subsystems of the co

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Rüegg, Simon R., Liza Rosenbaum Nielsen, Sandra C. Buttigieg, et al. "A Systems Approach to Evaluate One Health Initiatives." Frontiers in Veterinary Science 5 (June 7, 2018): 23. https://doi.org/10.5281/zenodo.13410409.

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(Uploaded by Plazi for the Bat Literature Project) Challenges calling for integrated approaches to health, such as the One Health (OH) approach, typically arise from the intertwined spheres of humans, animals, and ecosystems constituting their environment. Initiatives addressing such wicked problems commonly consist of complex structures and dynamics. As a result of the EU COST Action (TD 1404) "Network for Evaluation of One Health" (NEOH), we propose an evaluation framework anchored in systems theory to address the intrinsic complexity of OH initiatives and regard them as subsystems of the co

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Rüegg, Simon R., Liza Rosenbaum Nielsen, Sandra C. Buttigieg, et al. "A Systems Approach to Evaluate One Health Initiatives." Frontiers in Veterinary Science 5 (June 19, 2018): 23. https://doi.org/10.5281/zenodo.13410409.

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(Uploaded by Plazi for the Bat Literature Project) Challenges calling for integrated approaches to health, such as the One Health (OH) approach, typically arise from the intertwined spheres of humans, animals, and ecosystems constituting their environment. Initiatives addressing such wicked problems commonly consist of complex structures and dynamics. As a result of the EU COST Action (TD 1404) "Network for Evaluation of One Health" (NEOH), we propose an evaluation framework anchored in systems theory to address the intrinsic complexity of OH initiatives and regard them as subsystems of the co

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Rüegg, Simon R., Liza Rosenbaum Nielsen, Sandra C. Buttigieg, et al. "A Systems Approach to Evaluate One Health Initiatives." Frontiers in Veterinary Science 5 (July 3, 2018): 23. https://doi.org/10.5281/zenodo.13410409.

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(Uploaded by Plazi for the Bat Literature Project) Challenges calling for integrated approaches to health, such as the One Health (OH) approach, typically arise from the intertwined spheres of humans, animals, and ecosystems constituting their environment. Initiatives addressing such wicked problems commonly consist of complex structures and dynamics. As a result of the EU COST Action (TD 1404) "Network for Evaluation of One Health" (NEOH), we propose an evaluation framework anchored in systems theory to address the intrinsic complexity of OH initiatives and regard them as subsystems of the co

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21

Rüegg, Simon R., Liza Rosenbaum Nielsen, Sandra C. Buttigieg, et al. "A Systems Approach to Evaluate One Health Initiatives." Frontiers in Veterinary Science 5 (July 10, 2018): 23. https://doi.org/10.5281/zenodo.13410409.

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(Uploaded by Plazi for the Bat Literature Project) Challenges calling for integrated approaches to health, such as the One Health (OH) approach, typically arise from the intertwined spheres of humans, animals, and ecosystems constituting their environment. Initiatives addressing such wicked problems commonly consist of complex structures and dynamics. As a result of the EU COST Action (TD 1404) "Network for Evaluation of One Health" (NEOH), we propose an evaluation framework anchored in systems theory to address the intrinsic complexity of OH initiatives and regard them as subsystems of the co

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22

Rüegg, Simon R., Liza Rosenbaum Nielsen, Sandra C. Buttigieg, et al. "A Systems Approach to Evaluate One Health Initiatives." Frontiers in Veterinary Science 5 (July 17, 2018): 23. https://doi.org/10.5281/zenodo.13410409.

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(Uploaded by Plazi for the Bat Literature Project) Challenges calling for integrated approaches to health, such as the One Health (OH) approach, typically arise from the intertwined spheres of humans, animals, and ecosystems constituting their environment. Initiatives addressing such wicked problems commonly consist of complex structures and dynamics. As a result of the EU COST Action (TD 1404) "Network for Evaluation of One Health" (NEOH), we propose an evaluation framework anchored in systems theory to address the intrinsic complexity of OH initiatives and regard them as subsystems of the co

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23

Kern, Josipa. "Evaluation of teleconsultation systems." International Journal of Medical Informatics 75, no. 3-4 (2006): 330–34. http://dx.doi.org/10.1016/j.ijmedinf.2005.08.001.

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24

Sherwood, Clive S. "Needleguard systems: an evaluation." Journal of the Royal Society for the Promotion of Health 127, no. 6 (2007): 280–86. http://dx.doi.org/10.1177/1466424007084065.

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25

Ananthakrishnan, Ananya, Madison Milne-Ives, Rohit Shankar, and Edward Meinert. "Evaluation of health recommender systems: a scoping review protocol." BMJ Open 14, no. 10 (2024): e083359. http://dx.doi.org/10.1136/bmjopen-2023-083359.

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BackgroundPeople increasingly rely on online health information for their health-related decision-making. Given the overwhelming amount of information available, the risk of misinformation is high. Health recommender systems, which recommend personalised health-related information or interventions using intelligent algorithms, have the potential to address this issue. Many such systems have been developed and evaluated individually, but there is a need to synthesise the evaluation findings to identify gaps and ensure that future recommender systems are designed to have a positive impact on hea

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26

Yusof, Maryati, and Mohamad Norzamani Sahroni. "Investigating health information systems-induced errors." International Journal of Health Care Quality Assurance 31, no. 8 (2018): 1014–29. http://dx.doi.org/10.1108/ijhcqa-07-2017-0125.

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Purpose The purpose of this paper is to present a review of health information system (HIS)-induced errors and its management. This paper concludes that the occurrence of errors is inevitable but it can be minimised with preventive measures. The review of classifications can be used to evaluate medical errors related to HISs using a socio-technical approach. The evaluation could provide an understanding of errors as a learning process in managing medical errors. Design/methodology/approach A literature review was performed on issues, sources, management and approaches to HISs-induced errors. A

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27

Zhang, Tai Fa, Ya Jiang Zhang, and Ming Juan Song. "Analysis and Evaluation of the Health Care Systems." Advanced Materials Research 798-799 (September 2013): 1105–8. http://dx.doi.org/10.4028/www.scientific.net/amr.798-799.1105.

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According to the definition, objectives, and functions of the health care system, the paper assesses the performance of this system, describes several metrics which can evaluate the effectiveness of a countrys health care system, and constructs synthetic model by synthesized osculating value method and fuzzy comprehensive evaluation method to evaluate the effectiveness of a countrys health care system. Firstly, the paper evaluates degrees of these metrics, and gets the result that infant mortality per 1000 births is the most important metric while obesity rate is the least important one. Secon

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Rathwell, Tom. "Book Review: The Evaluation of National Health Systems." Health Services Management Research 5, no. 1 (1992): 79–80. http://dx.doi.org/10.1177/095148489200500111.

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29

Ammenwerth, Elske, Stefan Gräber, Gabriele Herrmann, Thomas Bürkle, and Jochem König. "Evaluation of health information systems—problems and challenges." International Journal of Medical Informatics 71, no. 2-3 (2003): 125–35. http://dx.doi.org/10.1016/s1386-5056(03)00131-x.

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Odhiambo-Otieno, George W. "Evaluation of existing District Health Management Information Systems." International Journal of Medical Informatics 74, no. 9 (2005): 733–44. http://dx.doi.org/10.1016/j.ijmedinf.2005.05.007.

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31

Eslami Andargoli, Amirhossein, Helana Scheepers, Diana Rajendran, and Amrik Sohal. "Health information systems evaluation frameworks: A systematic review." International Journal of Medical Informatics 97 (January 2017): 195–209. http://dx.doi.org/10.1016/j.ijmedinf.2016.10.008.

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32

DECHANT, HALLIE K., WALID G. TOHME, SEONG K. MUN, WENDELIN S. HAYES, and KEVIN A. SCHULMAN. "Health Systems Evaluation of Telemedicine: A Staged Approach." Telemedicine Journal 2, no. 4 (1996): 303–12. http://dx.doi.org/10.1089/tmj.1.1996.2.303.

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33

McPake, Barbara. "Economic evaluation is insufficient without health systems analysis." Lancet Global Health 11, no. 8 (2023): e1144-e1145. http://dx.doi.org/10.1016/s2214-109x(23)00269-3.

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34

Yellowlees, Peter. "Practical evaluation of telemedicine systems in the real world." Journal of Telemedicine and Telecare 4, no. 1_suppl (1998): 56–57. http://dx.doi.org/10.1258/1357633981931461.

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There are six key questions that need to be asked before the evaluation of any telemedicine project. These are: who, why, what, when, where and how? Evaluation, and the subsequent communication of the results, is central to the development and implementation of any telemedicine system. As telemedicine technologies and processes gradually mature the extent and breadth of evaluations relevant to these technologies will undoubtedly improve and it is to be hoped that telemedicine systems will prove themselves as clinical tools.

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35

Jayasuriya, Rohan. "Evaluating health information systems: An assessment of frameworks." Australian Health Review 20, no. 3 (1997): 68. http://dx.doi.org/10.1071/ah970068a.

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The rapid increase in investments for computerised systems is a major concern for all health organisations. Questions about these investments arise as information technologyis only one of the areas that are competing for a finite amount of resources. There is also some concern that some of the failures of information technology would have been detected if proper evaluation of information systems were conducted. The state of the art of evaluating information systems shows changes from a very positivist approach tomore comprehensive approaches that would incorporate multiple methods. This paperp

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Sharifi Kia, Ali, Mohammad Beheshti, and Leila Shahmoradi. "Health Information Systems Evaluation Criteria: Overview of Systematic Reviews." Frontiers in Health Informatics 11, no. 1 (2022): 120. http://dx.doi.org/10.30699/fhi.v11i1.376.

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Introduction: Health information systems play an important role in improving the quality of patient care and patient safety. to ensure their effectiveness and efficiency, they need to be evaluated. Although HIS evaluation has been investigated in many studies, there is no consensus on which aspects of HIS to evaluate. The aim of this study is to identify the indicators for the evaluation of health information systems and to provide an overview of the criteria devised and studies conducted.Methods: An umbrella review was performed exploring databases PubMed, Science direct, Web of Science, Scie

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Magrabi, Farah, Elske Ammenwerth, Catherine K. Craven, et al. "Managing Pandemic Responses with Health Informatics – Challenges for Assessing Digital Health Technologies." Yearbook of Medical Informatics 30, no. 01 (2021): 056–60. http://dx.doi.org/10.1055/s-0041-1726490.

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Objectives: To highlight the role of technology assessment in the management of the COVID-19 pandemic. Method: An overview of existing research and evaluation approaches along with expert perspectives drawn from the International Medical Informatics Association (IMIA) Working Group on Technology Assessment and Quality Development in Health Informatics and the European Federation for Medical Informatics (EFMI) Working Group for Assessment of Health Information Systems. Results: Evaluation of digital health technologies for COVID-19 should be based on their technical maturity as well as the scal

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Pfaff, Mark S., Amanda Anganes, Ozgur Eris, Aileen Prior, Merry Ward, and Jonathan Nebeker. "Cognitive Usability Evaluation of Electronic Health Record Systems (CUE-E)." Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 8, no. 1 (2019): 13–17. http://dx.doi.org/10.1177/2327857919081003.

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This project’s purpose was to develop cognitively-focused usability evaluation methods for electronic health records (EHRs). This research involved developing a conceptual framework for evaluating EHR usability in terms of clinical cognition and operationalizing the framework in the form of two novel EHR usability evaluation methods. The two evaluation methods - one observational and one lab-based - are described in a suite of protocol materials and recommendations for EHR evaluation and design. This resulting body of work is referred to as CUE-E: Cognitive Usability Evaluation - EHR. This pap

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Anderson, James G., and Carolyn E. Aydin. "Evaluating the Impact of Health Care Information Systems." International Journal of Technology Assessment in Health Care 13, no. 2 (1997): 380–93. http://dx.doi.org/10.1017/s0266462300010436.

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AbstractEvaluating the impact of computer-based medical information systems requires not only an understanding of computer technology but also an understanding of complex social and behavioral processes. This essay discusses the need for evaluation of health care information systems, a set of evaluation questions based on assumptions about the impact of technology on organizations, and recommendations for reducing barriers to the implementation of health care information systems.

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Krause, Marcin, and Szymon Salomon. "Occupational health and safety management systems – analysis of selected requirements for evaluation of occupational health and safety performance." Zarządzanie Innowacyjne w Gospodarce i Biznesie, no. 1/38 (October 17, 2024): 13–23. http://dx.doi.org/10.25312/2391-5129.38/2024_01mkss.

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The publication undertakes the problems of occupational health and safety in the aspect of requirements for occupational health and safety management systems. The aim of the work was analysis of selected aspects of evaluation of occupational health and safety performance according to the ISO 45001:2018 standard. Performance evaluation and improvement are one of the basic requirements, that determine the suitability, adequacy, effectiveness and efficiency of management systems. The essential element of the study was the development of assumptions for evaluation of occupational health and safety

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Lovis, C. "Sustainable Health Care Systems." Yearbook of Medical Informatics 16, no. 01 (2007): 19–21. http://dx.doi.org/10.1055/s-0038-1638524.

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SummaryTo summarize major current trends and research in the field of sustainable health care systems.Synopsis of the articles selected for the IMIA Yearbook 2007.Four excellent articles, four nations and four international peer-reviewed journals representing some important aspects of the research in this field have been selected for the IMIA Yearbook 2007. The first paper focuses on health care spending and use of information technologies in OECD countries; the second paper presents an original model and framework to describe and evaluate the risks and safety of e-health systems; the third pa

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Sinabell, Irina, and Elske Ammenwerth. "Agile, Easily Applicable, and Useful eHealth Usability Evaluations: Systematic Review and Expert-Validation." Applied Clinical Informatics 13, no. 01 (2022): 67–79. http://dx.doi.org/10.1055/s-0041-1740919.

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Abstract Background Electronic health (eHealth) usability evaluations of rapidly developed eHealth systems are difficult to accomplish because traditional usability evaluation methods require substantial time in preparation and implementation. This illustrates the growing need for fast, flexible, and cost-effective methods to evaluate the usability of eHealth systems. To address this demand, the present study systematically identified and expert-validated rapidly deployable eHealth usability evaluation methods. Objective Identification and prioritization of eHealth usability evaluation methods

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Haried, Peter, Craig Claybaugh, and Hua Dai. "Evaluation of health information systems research in information systems research: A meta-analysis." Health Informatics Journal 25, no. 1 (2017): 186–202. http://dx.doi.org/10.1177/1460458217704259.

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Given the importance of the health-care industry and the promise of health information systems, researchers are encouraged to build on the shoulders of giants as the saying goes. The health information systems field has a unique opportunity to learn from and extend the work that has already been done by the highly correlated information systems field. As a result, this research article presents a past, present and future meta-analysis of health information systems research in information systems journals over the 2000–2015 time period. Our analysis reviewed 126 articles on a variety of topics

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NAKAJIMA, Hisato, and Kouya YANO. "Evaluation of the Performance of Health Systems by Prefecture." Nippon Eiseigaku Zasshi (Japanese Journal of Hygiene) 74 (2019): n/a. http://dx.doi.org/10.1265/jjh.18028.

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Hanmer, Lyn. "Criteria for the evaluation of district health information systems." International Journal of Medical Informatics 56, no. 1-3 (1999): 161–68. http://dx.doi.org/10.1016/s1386-5056(99)00046-5.

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46

Moehr, Jochen R. "Evaluation of health information systems: beyond efficiency and effectiveness." Computers in Biology and Medicine 32, no. 3 (2002): 111–12. http://dx.doi.org/10.1016/s0010-4825(02)00008-2.

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47

Arne, RUCKERT. "HEALTH GOVERNANCE PRINCIPLES FOR AMR SURVEILLANCE." International journal of Education, Humanities & Social Sciences I, no. 4 (2024): 3–11. https://doi.org/10.5281/zenodo.14238231.

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<em>Antimicrobial resistance (AMR) is a pressing global health issue with serious implications for health, food security, and livelihoods. Collective action, from local to global, that draws on the One Health (OH) approach to facilitate collaboration between the human, animal, and environmental sectors is required to inform initiatives to mitigate AMR. For AMR surveillance, this involves applying an intersectoral, multistakeholder perspective to guide the co-creation of knowledge and policy around the collection, analysis, and application of surveillance data to detect, monitor, and prevent AM

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48

Du, Changliang. "Study on Lifestyle Evaluation Systems for the Health of Chinese Elderly." International Journal of Environmental Research and Public Health 16, no. 2 (2019): 284. http://dx.doi.org/10.3390/ijerph16020284.

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Background/Objective: China is now faced with a serious population aging challenge, and the health of the Chinese elderly is becoming an imminent concern. Consequently, it is critical to establish a lifestyle evaluation system for promoting the health of the Chinese elderly. Methods: Interviews with experts and questionnaire surveys were conducted. Factor analysis, analytic hierarchy process, and statistical analyses were also adopted in this study. Results: Besides evaluation metrics and standards, a two-level category system including 50 indices and associated weights from three level 1 cate

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Issak, Edin, and Karimi Stella Silas. "Monitoring and Evaluation Systems on Performance of Community Health Workers Programme in Banadir Region, Somalia." International Journal of Science and Research (IJSR) 12, no. 11 (2023): 105–11. http://dx.doi.org/10.21275/sr231029123759.

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Verguet, Stéphane, Isabelle Feldhaus, Xiaoxiao Jiang Kwete, et al. "Health system modelling research: towards a whole-health-system perspective for identifying good value for money investments in health system strengthening." BMJ Global Health 4, no. 2 (2019): e001311. http://dx.doi.org/10.1136/bmjgh-2018-001311.

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Abstract:

Global health research has typically focused on single diseases, and most economic evaluation research to date has analysed technical health interventions to identify ‘best buys’. New approaches in the conduct of economic evaluations are needed to help policymakers in choosing what may be good value (ie, greater health, distribution of health, or financial risk protection) for money (ie, per budget expenditure) investments for health system strengthening (HSS) that tend to be programmatic. We posit that these economic evaluations of HSS interventions will require developing new analytic models

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