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Daei A, Soleymani MR, Zargham-Boroujeni A, Kelishadi R, Ashrafi-Rizi H. Modelling of physicians' clinical information-seeking behaviour in Iran: a grounded theory study. BMJ Open 2024; 14:e080602. [PMID: 38626973 PMCID: PMC11029460 DOI: 10.1136/bmjopen-2023-080602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 04/03/2024] [Indexed: 04/19/2024] Open
Abstract
OBJECTIVES Exploring clinical information-seeking behaviour (CISB) and its associated factors contributes to its theoretical advancement and offers a valuable framework for addressing physicians' information needs. This study delved into the dimensions, interactions, strategies and determinants of CISB among physicians at the point of care. DESIGN A grounded theory study was developed based on Strauss and Corbin's approach. Data were collected by semistructured interviews and then analysed through open, axial and selective coding. SETTING The study was conducted at academic centres affiliated with Isfahan University of Medical Sciences. PARTICIPANTS This investigation involved recruiting 21 specialists and subspecialists from the academic centres. RESULTS The findings revealed that physicians' CISB encompassed multiple dimensions when addressing clinical inquiries. Seven principal themes emerged from the analysis: 'clinical information needs', 'clinical question characteristics', 'clinical information resources', 'information usability', 'factors influencing information seeking', 'action/interaction encountering clinical questions' and 'consequences of CISB'. The core category identified in this study was 'focused attention'. CONCLUSIONS The theoretical explanation demonstrated that the CISB process was interactive and dynamic. Various stimuli, including causal, contextual and intervening conditions, guide physicians in adopting information-seeking strategies and focusing on resolving clinical challenges. However, insufficient stimuli may hinder physicians' engagement in CISB. Understanding CISB helps managers, policy-makers, clinical librarians and information system designers optimally implement several interventions, such as suitable training methods, reviewing monitoring and evaluating information systems, improving clinical decision support systems, electronic medical records and electronic health records, as well as monitoring and evaluating these systems. Such measures facilitate focused attention on clinical issues and promote CISB among physicians.
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Affiliation(s)
- Azra Daei
- Department of Medical Library and Information Science, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mohammad Reza Soleymani
- Health Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Ali Zargham-Boroujeni
- Nursing and Midwifery Care Research Center, Faculty of Nursing and Midwifery, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Roya Kelishadi
- Department of Pediatrics, Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-communicable Diseases, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Hasan Ashrafi-Rizi
- Health Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
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Mazurenko O, McCord E, McDonnell C, Apathy NC, Sanner L, Adams MCB, Mamlin BW, Vest JR, Hurley RW, Harle CA. Examining primary care provider experiences with using a clinical decision support tool for pain management. JAMIA Open 2023; 6:ooad063. [PMID: 37575955 PMCID: PMC10412405 DOI: 10.1093/jamiaopen/ooad063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 06/22/2023] [Accepted: 07/25/2023] [Indexed: 08/15/2023] Open
Abstract
Objective To evaluate primary care provider (PCP) experiences using a clinical decision support (CDS) tool over 16 months following a user-centered design process and implementation. Materials and Methods We conducted a qualitative evaluation of the Chronic Pain OneSheet (OneSheet), a chronic pain CDS tool. OneSheet provides pain- and opioid-related risks, benefits, and treatment information for patients with chronic pain to PCPs. Using the 5 Rights of CDS framework, we conducted and analyzed semi-structured interviews with 19 PCPs across 2 academic health systems. Results PCPs stated that OneSheet mostly contained the right information required to treat patients with chronic pain and was correctly located in the electronic health record. PCPs used OneSheet for distinct subgroups of patients with chronic pain, including patients prescribed opioids, with poorly controlled pain, or new to a provider or clinic. PCPs reported variable workflow integration and selective use of certain OneSheet features driven by their preferences and patient population. PCPs recommended broadening OneSheet access to clinical staff and patients for data entry to address clinician time constraints. Discussion Differences in patient subpopulations and workflow preferences had an outsized effect on CDS tool use even when the CDS contained the right information identified in a user-centered design process. Conclusions To increase adoption and use, CDS design and implementation processes may benefit from increased tailoring that accommodates variation and dynamics among patients, visits, and providers.
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Affiliation(s)
- Olena Mazurenko
- Department of Health Policy and Management, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, Indiana, USA
- Clem McDonald Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA
| | - Emma McCord
- Department of Health Policy and Management, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, Indiana, USA
| | - Cara McDonnell
- Anesthesiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Nate C Apathy
- Clem McDonald Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA
- MedStar Health Research Institute
| | - Lindsey Sanner
- Department of Health Policy and Management, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, Indiana, USA
| | - Meredith C B Adams
- Anesthesiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Burke W Mamlin
- Clem McDonald Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA
- School of Medicine, Indiana University, Indianapolis, Indiana, USA
| | - Joshua R Vest
- Department of Health Policy and Management, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, Indiana, USA
- Clem McDonald Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA
| | - Robert W Hurley
- Anesthesiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Christopher A Harle
- Department of Health Policy and Management, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, Indiana, USA
- Clem McDonald Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA
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Kiessling KA, Iott BE, Pater JA, Toscos TR, Wagner SR, Gottlieb LM, Veinot TC. Health informatics interventions to minimize out-of-pocket medication costs for patients: what providers want. JAMIA Open 2022; 5:ooac007. [PMID: 35274083 PMCID: PMC8903137 DOI: 10.1093/jamiaopen/ooac007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 12/13/2021] [Accepted: 01/31/2022] [Indexed: 11/14/2022] Open
Abstract
Objective To explore diverse provider perspectives on: strategies for addressing patient medication cost barriers; patient medication cost information gaps; current medication cost-related informatics tools; and design features for future tool development. Materials and Methods We conducted 38 semistructured interviews with providers (physicians, nurses, pharmacists, social workers, and administrators) in a Midwestern health system in the United States. We used 3 rounds of qualitative coding to identify themes. Results Providers lacked access to information about: patients’ ability to pay for medications; true costs of full medication regimens; and cost impacts of patient insurance changes. Some providers said that while existing cost-related tools were helpful, they contained unclear insurance information and several questioned the information’s quality. Cost-related information was not available to everyone who needed it and was not always available when needed. Fragmentation of information across sources made cost-alleviation information difficult to access. Providers desired future tools to compare medication costs more directly; provide quick references on costs to facilitate clinical conversations; streamline medication resource referrals; and provide centrally accessible visual summaries of patient affordability challenges. Discussion These findings can inform the next generation of informatics tools for minimizing patients’ out-of-pocket costs. Future tools should support the work of a wider range of providers and situations and use cases than current tools do. Such tools would have the potential to improve prescribing decisions and better link patients to resources. Conclusion Results identified opportunities to fill multidisciplinary providers’ information gaps and ways in which new tools could better support medication affordability for patients. Almost a quarter of Americans taking prescription medications have difficulty affording them. We asked 38 healthcare providers what they do to help patients get affordable medications. They try to reduce the number of medications that patients take, choose more affordable medication options, and connect them to free medications or financial help. But it is hard for providers to do these things because they don’t always know which patients have financial challenges, and they may not know how much medications cost patients. Healthcare providers use digital tools like ordering systems to pick medications for patients, but they do not always have clear price information and they do not help outside of healthcare visits with prescribers. It is also hard for healthcare providers to get information about what patients have difficulty affording medications, and about resources to help them. Healthcare providers want new and improved digital tools to help them choose medications, and to be able to compare exact medication price differences. They also want a visual sign for patients with financial challenges, and centralized information about cost reduction resources. Finally, they desire tools to help them talk to patients about mediation prices, and medication price reports for patients themselves.
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Affiliation(s)
| | - Bradley E Iott
- School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
- School of Information, University of Michigan, Ann Arbor, Michigan, USA
| | - Jessica A Pater
- Parkview Mirro Center for Research & Innovation, Parkview Health, Fort Wayne, Indiana, USA
| | - Tammy R Toscos
- Parkview Mirro Center for Research & Innovation, Parkview Health, Fort Wayne, Indiana, USA
| | - Shauna R Wagner
- Parkview Mirro Center for Research & Innovation, Parkview Health, Fort Wayne, Indiana, USA
| | - Laura M Gottlieb
- Social Interventions Research and Evaluation Network, University of California San Francisco, San Francisco, California, USA
| | - Tiffany C Veinot
- School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
- School of Information, University of Michigan, Ann Arbor, Michigan, USA
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Karampli E, Souliotis K, Polyzos N, Chatzaki E. Why do physicians prescribe new antidiabetic drugs? A qualitative study in the Greek healthcare setting. HEALTH POLICY AND TECHNOLOGY 2020. [DOI: 10.1016/j.hlpt.2020.02.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Kerins C, McHugh S, McSharry J, Reardon CM, Hayes C, Perry IJ, Geaney F, Seery S, Kelly C. Barriers and facilitators to implementation of menu labelling interventions from a food service industry perspective: a mixed methods systematic review. Int J Behav Nutr Phys Act 2020; 17:48. [PMID: 32295647 PMCID: PMC7161210 DOI: 10.1186/s12966-020-00948-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Accepted: 03/23/2020] [Indexed: 02/05/2023] Open
Abstract
Background Eating outside the home contributes to poor dietary habits worldwide and is associated with increased body fat and weight gain. Evidence shows menu labelling is effective in promoting healthier food choices; however, implementation issues have arisen. The purpose of this systematic review was to synthesise the evidence on the perceived barriers and facilitators to implementation of menu labelling interventions from the perspective of the food service industry. Methods Peer-reviewed and grey literature were searched using databases, specialised search engines and public health organisation websites. Screening reference lists, citation chaining and contacting authors of all included studies were undertaken. Primary research studies relevant to direct supply-side stakeholders were eligible for inclusion. There were no restrictions on menu labelling scheme or format, study methods, publication year or language. At least two independent reviewers performed study selection, data extraction and quality appraisal. The results were synthesised using the ‘best fit’ framework synthesis approach, with reference to the Consolidated Framework for Implementation Research (CFIR). Results Seventeen studies met the eligibility criteria, with the majority rated as average quality (n = 10). The most frequently cited barriers were coded to the CFIR constructs ‘Consumer Needs & Resources’ (e.g. lack of customer demand for/interest in menu labelling, risk of overwhelmed/confused customers) and ‘Compatibility’ with organisation work processes (e.g. lack of standardised recipes, limited space on menus). Frequently cited facilitators were coded to the CFIR constructs ‘Relative Advantage’ of menu labelling (e.g. improved business image/reputation) and ‘Consumer Needs & Resources’ (e.g. customer demand for/interest in menu labelling, providing nutrition information to customers). An adapted framework consisting of a priori and new constructs was developed, which illustrates the relationships between domains. Conclusion This review generates an adapted CFIR framework for understanding implementation of menu labelling interventions. It highlights that implementation is influenced by multiple interdependent factors, particularly related to the external and internal context of food businesses, and features of the menu labelling intervention. The findings can be used by researchers and practitioners to develop or select strategies to address barriers that impede implementation and to leverage facilitators that assist with implementation effort. Trial registration Systematic review registration: PROSPERO CRD42017083306.
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Affiliation(s)
- Claire Kerins
- Discipline of Health Promotion, School of Health Sciences, National University of Ireland Galway, University Road, Galway, Ireland.
| | - Sheena McHugh
- School of Public Health, University College Cork, College Road, Cork, Ireland
| | - Jenny McSharry
- Health Behaviour Change Research Group, School of Psychology, National University of Ireland Galway, University Road, Galway, Ireland
| | - Caitlin M Reardon
- Ann Arbor VA Center for Clinical Management Research, P.O. Box 130170, Ann Arbor, MI, 48113-0170, USA
| | - Catherine Hayes
- Discipline of Public Health and Primary Care, Institute of Population Health, Trinity College Dublin Russell Centre, Tallaght Cross, Dublin 24, Ireland
| | - Ivan J Perry
- School of Public Health, University College Cork, College Road, Cork, Ireland
| | - Fiona Geaney
- School of Public Health, University College Cork, College Road, Cork, Ireland
| | - Suzanne Seery
- National Institute for Prevention and Cardiovascular Health, Croí Heart and Stroke Centre, Moyola Lane, Newcastle, Galway, Ireland
| | - Colette Kelly
- Discipline of Health Promotion, School of Health Sciences, National University of Ireland Galway, University Road, Galway, Ireland
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Senteio C, Adler-Milstein J, Richardson C, Veinot T. Psychosocial information use for clinical decisions in diabetes care. J Am Med Inform Assoc 2019; 26:813-824. [PMID: 31329894 PMCID: PMC7647218 DOI: 10.1093/jamia/ocz053] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Revised: 03/26/2019] [Accepted: 03/31/2019] [Indexed: 01/13/2023] Open
Abstract
OBJECTIVE There are increasing efforts to capture psychosocial information in outpatient care in order to enhance health equity. To advance clinical decision support systems (CDSS), this study investigated which psychosocial information clinicians value, who values it, and when and how clinicians use this information for clinical decision-making in outpatient type 2 diabetes care. MATERIALS AND METHODS This mixed methods study involved physician interviews (n = 17) and a survey of physicians, nurse practitioners (NPs), and diabetes educators (n = 198). We used the grounded theory approach to analyze interview data and descriptive statistics and tests of difference by clinician type for survey data. RESULTS Participants viewed financial strain, mental health status, and life stressors as most important. NPs and diabetes educators perceived psychosocial information to be more important, and used it significantly more often for 1 decision, than did physicians. While some clinicians always used psychosocial information, others did so when patients were not doing well. Physicians used psychosocial information to judge patient capabilities, understanding, and needs; this informed assessment of the risks and the feasibility of options and patient needs. These assessments influenced 4 key clinical decisions. DISCUSSION Triggers for psychosocially informed CDSS should include psychosocial screening results, new or newly diagnosed patients, and changes in patient status. CDSS should support cost-sensitive medication prescribing, and psychosocially based assessment of hypoglycemia risk. Electronic health records should capture rationales for care that do not conform to guidelines for panel management. NPs and diabetes educators are key stakeholders in psychosocially informed CDSS. CONCLUSION Findings highlight opportunities for psychosocially informed CDSS-a vital next step for improving health equity.
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Affiliation(s)
- Charles Senteio
- Department of Library and Information Science, Rutgers School of Communication and Information, New Brunswick, New Jersey, USA
| | - Julia Adler-Milstein
- Department of Medicine, University of California San Francisco, San Francisco, California USA
| | - Caroline Richardson
- Department of Family Medicine, University of Michigan Medical School, Ann Arbor, Michigan USA
| | - Tiffany Veinot
- School of Information, School of Public Health, University of Michigan, Ann Arbor, Michigan USA
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