Investigating patients' and general practitioners' views of
computerised decision support software for the assessment and
management of cardiovascular risk

Wilson, Anne; Duszynski, A.; Turnbull, Deborah; Beilby, Justin

doi:10.14236/jhi.v15i1.642

Cited by 5 publications

(20 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…16 Some studies suggest less decisional conflict and improved satisfaction with decision making as a result. 8 Whether use of a decision aid impacts on the actual decisions made by patients is, however, less evident. 16 Assessment of patients' responsiveness to a decision support tool for primary prevention of CVDs has been investigated.…”

Section: Advantages For Patientsmentioning

confidence: 99%

“…van Steenkiste and Wilson both found that decision support is welcomed by patients who enjoyed sharing information with a professional on a personal cardiovascular risk management plan. 8,17 Barriers to adoption…”

Section: Advantages For Patientsmentioning

confidence: 99%

“…20 Concerns over the potential impact of time using a system in a consultation was also identified as a barrier. 8 …”

Section: Advantages For Patientsmentioning

confidence: 99%

“…by providing easy access to appropriate and accurate information, including educational material 8 . by assisting in diagnosing or alerting the practitioner and patient to a probable outcome 2 and .…”

Section: Introductionmentioning

confidence: 99%

“…by engaging and involving patients in decision making regarding their own health care. 2,8 A range of clinical decision tools to assist providers to perform cardiovascular assessment have been developed, validated, and even adapted to hand-held computers to increase their portability. Some cardiovascular decision tools, such as those developed by the New Zealand National Prescribing Service, 9 American College of Physicians (ACP) and American College of Cardiology/American Heart Association (ACC/ AHA), are algorithmic approaches that make direct recommendations about whether to pursue cardiac testing.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Identifying barriers to implementing a cardiovascular computerised decision support system (CDSS): a Delphi survey

Wilson¹,

Opolski²

2009

Journal of Innovation in Health Informatics

Self Cite

View full text Add to dashboard Cite

IntroductionIn a technological age, the use of electronic means to assist health professionals in their work appears to have achieved limited adoption. In the USA, for example, it is reported that during 2005, approximately 23.9% of physicians used electronic health records (EHRs) in the ambulatory setting, while only 5% of hospitals used computerised physician order entry systems. Likewise, in the UK, which has an extensive computerised primary healthcare sector, the use of computerised decision support systems (CDSS) is not commonplace. 2 Investigating primary care physicians' use of electronic patient records in Norway, Christensen et al concluded that their full potential had not been reached and that problems of integration and functionality needed to be addressed to achieve this.3 Computerised decision support systems are one type of electronic interface designed to assist clinicians in decision making and risk management and to facilitate shared decision making between health professional and patient. Achieving maximum adoption and usage by primary care professionals requires a comprehensive understanding of which professionals find it attractive and why.This paper -a report of research that obtained health professionals' and industry representatives' opinions on the most effective approach or approaches to the dissemination of an electronic decision support ABSTRACTPurpose This paper reports an evaluation of stakeholders' perspectives and recommendations for the dissemination of a cardiovascular computerised decision support system (CDSS) program. Methods A literature review of dissemination models for health information and decision support aids was undertaken to develop a semi-structured interview protocol outlining a range of dissemination models for distribution. A cross section of eight health professionals and three corporate managers were interviewed to provide as broad a view as possible of eight dissemination models. Data were collected via two questionnaires incorporating the Delphi technique. Perspectives from the corporate managers were collected by telephone interview. Results Financial incentive was the most highly rated dissemination method, followed by joint promotion with a professional body and undergraduate medical education. The lowest average rating was for dividing the program into separate components. Participants provided five other suggestions for dissemination. Suggestions for further exploration include the development of a multi-professional model comprising two or more approaches that is piloted and evaluated. Conclusion Our results provide beneficial information on the potential dissemination of computer decision support systems to health professionals whose uptake of CDSS has not previously been explored. Whether use of a shared decision aid impacts on the decisions made by health professionals working in a team is, however, less evident.

show abstract

Section: Advantages For Patientsmentioning

confidence: 99%

Section: Advantages For Patientsmentioning

confidence: 99%

“…20 Concerns over the potential impact of time using a system in a consultation was also identified as a barrier. 8 …”

Section: Advantages For Patientsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Identifying barriers to implementing a cardiovascular computerised decision support system (CDSS): a Delphi survey

Wilson¹,

Opolski²

2009

Journal of Innovation in Health Informatics

Self Cite

View full text Add to dashboard Cite

show abstract

Perceptions of primary care patients on the use of electronic clinical decision support tools to facilitate health care: A systematic review.

He,

Chima,

Emery

et al. 2024

Patient Education and Counseling

View full text Add to dashboard Cite

Making sense of a new technology in clinical practice: a qualitative study of patient and physician perspectives

Pals

Hansen

Johansen

et al. 2015

BMC Health Serv Res

View full text Add to dashboard Cite

BackgroundThe number of new technologies for risk assessment available in health care is increasing. These technologies are intended to contribute to both improved care practices and improved patient outcomes. To do so however, there is a need to study how new technologies are understood and interpreted by users in clinical practice. The objective of this study was to explore patient and physician perspectives on the usefulness of a new technology to detect Cardiovascular Autonomic Neuropathy (CAN) in a specialist diabetes clinic. The technology is a handheld device that measures resting heart rate and conducts three cardiac autonomic reflex tests to evaluate heart rate variability.MethodsThe study relied on three sources of data: observations of medical consultations where results of the CAN test were reported (n = 8); interviews with patients who had received the CAN test (n = 19); and interviews with physicians who reported results of the CAN test (n = 9). Data were collected at the specialist diabetes clinic between November 2013 and January 2014. Data were analysed using the concept of technological frames which is used to assess how physicians and patients understand and interpret the new technology.ResultsPhysicians generally found it difficult to communicate test results to patients in terms that patients could understand and to translate results into meaningful implications for the treatment of patients. Results of the study indicate that patients did not recall having done the CAN test nor recall receiving the results. Furthermore, patients were generally unsure about the purpose of the CAN test and the implications of the results.DiscussionInvolving patients and physicians is essential when a new technology is introduced in clinical practice. This particularly includes the interpretation and communication processes related to its use.ConclusionsThe integration of a new risk assessment technology into clinical practice can be accompanied by several challenges. It is suggested that more information about the CAN test be provided to patients and that a dialogue-based approach be used when communicating test results to patients in order to best support the use of the technology in clinical practice.

show abstract

Investigating patients' and general practitioners' views of computerised decision support software for the assessment and management of cardiovascular risk

Cited by 5 publications

References 17 publications

Identifying barriers to implementing a cardiovascular computerised decision support system (CDSS): a Delphi survey

Identifying barriers to implementing a cardiovascular computerised decision support system (CDSS): a Delphi survey

Perceptions of primary care patients on the use of electronic clinical decision support tools to facilitate health care: A systematic review.

Making sense of a new technology in clinical practice: a qualitative study of patient and physician perspectives

Contact Info

Product

Resources

About