1
|
Göcking B, Gloeckler S, Ferrario A, Brandi G, Glässel A, Biller-Andorno N. A case for preference-sensitive decision timelines to aid shared decision-making in intensive care: need and possible application. Front Digit Health 2023; 5:1274717. [PMID: 37881363 PMCID: PMC10595152 DOI: 10.3389/fdgth.2023.1274717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 09/28/2023] [Indexed: 10/27/2023] Open
Abstract
In the intensive care unit, it can be challenging to determine which interventions align with the patients' preferences since patients are often incapacitated and other sources, such as advance directives and surrogate input, are integral. Managing treatment decisions in this context requires a process of shared decision-making and a keen awareness of the preference-sensitive instances over the course of treatment. The present paper examines the need for the development of preference-sensitive decision timelines, and, taking aneurysmal subarachnoid hemorrhage as a use case, proposes a model of one such timeline to illustrate their potential form and value. First, the paper draws on an overview of relevant literature to demonstrate the need for better guidance to (a) aid clinicians in determining when to elicit patient preference, (b) support the drafting of advance directives, and (c) prepare surrogates for their role representing the will of an incapacitated patient in clinical decision-making. This first section emphasizes that highlighting when patient (or surrogate) input is necessary can contribute valuably to shared decision-making, especially in the context of intensive care, and can support advance care planning. As an illustration, the paper offers a model preference-sensitive decision timeline-whose generation was informed by existing guidelines and a series of interviews with patients, surrogates, and neuro-intensive care clinicians-for a use case of aneurysmal subarachnoid hemorrhage. In the last section, the paper offers reflections on how such timelines could be integrated into digital tools to aid shared decision-making.
Collapse
Affiliation(s)
- Beatrix Göcking
- Institute of Biomedical Ethics and History of Medicine, University of Zurich, Zurich, Switzerland
| | - Sophie Gloeckler
- Institute of Biomedical Ethics and History of Medicine, University of Zurich, Zurich, Switzerland
| | - Andrea Ferrario
- Department of Management, Technology, and Economics, Swiss Federal Institute of Technology in Zurich, Zurich, Switzerland
- Mobiliar Lab for Analytics at ETH, Zurich, Switzerland
| | - Giovanna Brandi
- Institute of Intensive Care Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Andrea Glässel
- Institute of Biomedical Ethics and History of Medicine, University of Zurich, Zurich, Switzerland
- School of Health Sciences, Institute of Public Health, Zurich University of Applied Sciences, Winterthur, Switzerland
| | - Nikola Biller-Andorno
- Institute of Biomedical Ethics and History of Medicine, University of Zurich, Zurich, Switzerland
| |
Collapse
|
2
|
Babac A, von Friedrichs V, Litzkendorf S, Zeidler J, Damm K, Graf von der Schulenburg JM. Integrating patient perspectives in medical decision-making: a qualitative interview study examining potentials within the rare disease information exchange process in practice. BMC Med Inform Decis Mak 2019; 19:188. [PMID: 31533712 PMCID: PMC6751820 DOI: 10.1186/s12911-019-0911-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Accepted: 09/09/2019] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Many European countries have recently implemented national rare disease plans. Although the network is strengthening, especially on the macro and meso levels, patients still go a long way through healthcare systems, with many health professionals involved and scarce evidence to gather. Specifically, patient involvement in the form of shared decision-making can offer further potential to increase healthcare systems' efficiency on a micro level. Therefore, we examine the implementation of the shared decision-making concept thus far, and explore whether efficiency potentials exist-which are particularly relevant within the rare disease field-and how they can be triggered. METHODS Our empirical evidence comes from 101 interviews conducted from March to September 2014 in Germany; 55 patients, 13 family members, and 33 health professionals participated in a qualitative interview study. Transcripts were analyzed using a directed qualitative content analysis. RESULTS The interviews indicate that the decision-making process is increasingly relevant in practice. In comparison, however, the shared decision-making agreement itself was rarely reported. A majority of interactions are dominated by individual, informed decision-making, followed by paternalistic approaches. The patient-physician relationship was characterized by a distorted trust-building process, which is affected by not only dependencies due to the diseases' severity and chronic course, but an often-reported stigmatization of patients as stimulants. Moreover, participation was high due to a pronounced engagement of those affected, diminishing as patients' strength vanish during their odyssey through health care systems. The particular roles of "expert patients" or "lay experts" in the rare disease field were revealed, with further potential in integrating the gathered information. CONCLUSIONS The study reveals the named efficiency potentials, which are unique for rare diseases and make the further integration of shared decision-making very attractive, facilitating diagnostics and disease management. It is noteworthy that integrating shared decision-making in the rare disease field does not only require strengthening the position of patients but also that of physicians. Efforts can be made to further integrate the concept within political frameworks to trigger the identified potential and assess the health-economic impact.
Collapse
Affiliation(s)
- Ana Babac
- Center of Health Economics Research Hannover (CHERH), Leibniz Universität Hanover, Hanover, Germany.
| | - Verena von Friedrichs
- Center of Health Economics Research Hannover (CHERH), Leibniz Universität Hanover, Hanover, Germany
| | - Svenja Litzkendorf
- Center of Health Economics Research Hannover (CHERH), Leibniz Universität Hanover, Hanover, Germany
| | - Jan Zeidler
- Center of Health Economics Research Hannover (CHERH), Leibniz Universität Hanover, Hanover, Germany
| | - Kathrin Damm
- Center of Health Economics Research Hannover (CHERH), Leibniz Universität Hanover, Hanover, Germany
| | | |
Collapse
|
3
|
Turcotte S, Guerrier M, Labrecque M, Robitaille H, Rivest LP, Hess B, Légaré F. Dyadic validity of the Decisional Conflict Scale: common patient/physician measures of patient uncertainty were identified. J Clin Epidemiol 2015; 68:920-7. [PMID: 25958108 DOI: 10.1016/j.jclinepi.2015.03.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2014] [Revised: 01/28/2015] [Accepted: 03/14/2015] [Indexed: 11/17/2022]
Abstract
OBJECTIVES We aimed to assess the dyadic validity of the Decisional Conflict Scale (DCS) for assessing shared decision making in clinical consultations. We applied dyadic criteria, which consider the patient and physician as an interactive dyad instead of as independent individuals, to identify common patient/physician measures of patient uncertainty. STUDY DESIGN AND SETTING Patients and their physicians, participating in a randomized clustered trial, completed separately an adapted version of the DCS with five subscales. We performed factor analysis on the full DCS and each subscale independently. We defined a measure as dyadic when measurement invariance across patients and physicians was supported. RESULTS We analyzed 332 paired responses (physicians with adults or with parents and children) at study entry and 339 at exit. Factor analysis showed that the full DCS is not a valid dyadic measure. However, independent analysis of each subscale showed measurement invariance for values clarity, support, and effective decision (comparative fit index range, 0.93-1; root mean square error of approximation range, 0-0.07; and P-value > 0.05). CONCLUSION Application of our dyadic validation criterion indicated that the full DCS cannot be considered a dyadic measure. However, three of its subscales, values clarity, support and effective decision, are valid dyadic measures.
Collapse
Affiliation(s)
- Stéphane Turcotte
- Research Centre of the Centre Hospitalier Universitaire de Québec, Hôpital St-François d'Assise, 10 rue de l'Espinay, Quebec City, Quebec, G1L 3L5, Canada
| | - Mireille Guerrier
- Research Centre of the Centre Hospitalier Universitaire de Québec, Hôpital St-François d'Assise, 10 rue de l'Espinay, Quebec City, Quebec, G1L 3L5, Canada
| | - Michel Labrecque
- Research Centre of the Centre Hospitalier Universitaire de Québec, Hôpital St-François d'Assise, 10 rue de l'Espinay, Quebec City, Quebec, G1L 3L5, Canada; Department of Family Medicine and Emergency Medicine, Faculty of Medicine, Université Laval, 1050, avenue Ferdinand-Vandry, Quebec City, Quebec, G1V OA6, Canada
| | - Hubert Robitaille
- Research Centre of the Centre Hospitalier Universitaire de Québec, Hôpital St-François d'Assise, 10 rue de l'Espinay, Quebec City, Quebec, G1L 3L5, Canada
| | - Louis-Paul Rivest
- Department of Mathematics and Statistics, Faculty of Sciences and Engineering, Université Laval, 1045, avenue de la Médecine, Quebec City, Quebec, G1V OA6, Canada
| | - Brian Hess
- Hess Consulting, 272 Rue du Replat, St-Nicolas, Quebec, G7A 5E4, Canada
| | - France Légaré
- Research Centre of the Centre Hospitalier Universitaire de Québec, Hôpital St-François d'Assise, 10 rue de l'Espinay, Quebec City, Quebec, G1L 3L5, Canada; Department of Family Medicine and Emergency Medicine, Faculty of Medicine, Université Laval, 1050, avenue Ferdinand-Vandry, Quebec City, Quebec, G1V OA6, Canada.
| |
Collapse
|
4
|
Tinsel I, Buchholz A, Vach W, Siegel A, Dürk T, Buchholz A, Niebling W, Fischer KG. Shared decision-making in antihypertensive therapy: a cluster randomised controlled trial. BMC FAMILY PRACTICE 2013; 14:135. [PMID: 24024587 PMCID: PMC3847233 DOI: 10.1186/1471-2296-14-135] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/10/2013] [Accepted: 08/20/2013] [Indexed: 11/10/2022]
Abstract
Background Hypertension is one of the key factors causing cardiovascular diseases. A substantial proportion of treated hypertensive patients do not reach recommended target blood pressure values. Shared decision making (SDM) is to enhance the active role of patients. As until now there exists little information on the effects of SDM training in antihypertensive therapy, we tested the effect of an SDM training programme for general practitioners (GPs). Our hypotheses are that this SDM training (1) enhances the participation of patients and (2) leads to an enhanced decrease in blood pressure (BP) values, compared to patients receiving usual care without prior SDM training for GPs. Methods The study was conducted as a cluster randomised controlled trial (cRCT) with GP practices in Southwest Germany. Each GP practice included patients with treated but uncontrolled hypertension and/or with relevant comorbidity. After baseline assessment (T0) GP practices were randomly allocated into an intervention and a control arm. GPs of the intervention group took part in the SDM training. GPs of the control group treated their patients as usual. The intervention was blinded to the patients. Primary endpoints on patient level were (1) change of patients’ perceived participation (SDM-Q-9) and (2) change of systolic BP (24h-mean). Secondary endpoints were changes of (1) diastolic BP (24h-mean), (2) patients’ knowledge about hypertension, (3) adherence (MARS-D), and (4) cardiovascular risk score (CVR). Results In total 1357 patients from 36 general practices were screened for blood pressure control by ambulatory blood pressure monitoring (ABPM). Thereof 1120 patients remained in the study because of uncontrolled (but treated) hypertension and/or a relevant comorbidity. At T0 the intervention group involved 17 GP practices with 552 patients and the control group 19 GP practices with 568 patients. The effectiveness analysis could not demonstrate a significant or relevant effect of the SDM training on any of the endpoints. Conclusion The study hypothesis that the SDM training enhanced patients’ perceived participation and lowered their BP could not be confirmed. Further research is needed to examine the impact of patient participation on the treatment of hypertension in primary care. Trial registration German Clinical Trials Register (DRKS): DRKS00000125
Collapse
Affiliation(s)
- Iris Tinsel
- Department of Medicine, Division of General Practice, University Medical Centre Freiburg, Elsässerstr 2m, Freiburg 79110, Germany.
| | | | | | | | | | | | | | | |
Collapse
|
5
|
Some but not all dyadic measures in shared decision making research have satisfactory psychometric properties. J Clin Epidemiol 2012; 65:1310-20. [PMID: 22981251 DOI: 10.1016/j.jclinepi.2012.06.019] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2012] [Revised: 05/09/2012] [Accepted: 06/08/2012] [Indexed: 11/20/2022]
Abstract
OBJECTIVE To assess the psychometric properties of dyadic measures for shared decision making (SDM) research. STUDY DESIGN AND SETTING We conducted an observational cross-sectional study in 17 primary care clinics with physician-patient dyads. We used seven subscales to measure six elements of SDM: (1) defining the problem, presenting options, and discussing pros and cons; (2) clarifying the patient's values and preferences; (3) discussing the patient's self-efficacy; (4) drawing on the doctor's knowledge; (5) verifying the patient's understanding; and (6) assessing the patient's uncertainty. We assessed the reliability and invariance of the factorial structure and considered a measure to be dyadic if the factorial structure of the patient version was similar to that of the physician version and if there was equality of loading (no significant chi-square). RESULTS We analyzed data for 264 physicians and 269 patients. All measures except one showed adequate reliability (Cronbach alpha, 0.70-0.93) and factorial validity (root mean square error of approximation, 0.000-0.06). However, we found only four measures to be dyadic (P>0.05): the values clarification subscale, perceived behavioral subscale, information-verifying subscale, and uncertainty subscale. CONCLUSION The subscales for values clarification, perceived behavioral control, information verifying, and uncertainty are appropriate dyadic measures for SDM research and can be used to derive dyadic indices.
Collapse
|