Dataset Information

Assessing Preference Shift and Effects on Patient Knowledge and Decisional Conflict: Cross-Sectional Study of an Interactive Prostate-Specific Antigen Test Patient Decision Aid.

ABSTRACT: BACKGROUND:Randomized trials of Web-based decision aids for prostate-specific antigen (PSA) testing indicate that these interventions improve knowledge and reduce decisional conflict. However, we do not know about these tools' impact on people who spontaneously use a PSA testing patient decision aid on the internet. OBJECTIVE:The objectives of this study were to (1) determine the impact of the Web-based PSA Option Grid patient decision aid on preference shift, knowledge, and decisional conflict; (2) identify which frequently asked questions (FAQs) are associated with preference shift; and (3) explore the possible relationships between these outcomes. METHODS:Data were collected between January 1, 2016, and December 30, 2017. Users who accessed the Web-based, interactive PSA Option Grid were provided with 3 options: have a PSA test, no PSA test, or unsure. Users first declared their initial preference and then completed 5 knowledge questions and a 4-item (yes or no) validated decisional conflict scale (Sure of myself, Understand information, Risk-benefit ratio, Encouragement; SURE). Next, users were presented with 10 FAQs and asked to identify their preference for each question based on the information provided. At the end, users declared their final preference and completed the same knowledge and decisional conflict questions. Paired sample t tests were employed to compare before and after knowledge and decisional conflict scores. A multinomial regression analysis was performed to determine which FAQs were associated with a shift in screening preference. RESULTS:Of all the people who accessed the PSA Option Grid, 39.8% (186/467) completed the interactive journey and associated surveys. After excluding 22 female users, we analyzed 164 responses. At completion, users shifted their preference to "not having the PSA test" (43/164, 26.2%, vs 117/164, 71.3%; P<.001), had higher levels of knowledge (112/164, 68.3%, vs 146/164, 89.0%; P<.001), and lower decisional conflict (94/164, 57.3%, vs 18/164, 11.0%; P<.001). There were 3 FAQs associated with preference shift: "What does the test involve?" "If my PSA level is high, what are the chances that I have prostate cancer?" and "What are the risks?" We did not find any relationship between knowledge, decisional conflict, and preference shift. CONCLUSIONS:Unprompted use of the interactive PSA Option Grid leads to preference shift, increased knowledge, and reduced decisional conflict, which confirms the ability of these tools to influence decision making, even when used outside clinical encounters.

SUBMITTER: Scalia P

PROVIDER: S-EPMC6282011 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature

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Assessing Preference Shift and Effects on Patient Knowledge and Decisional Conflict: Cross-Sectional Study of an Interactive Prostate-Specific Antigen Test Patient Decision Aid.

Scalia Peter P Elwyn Glyn G Kremer Jan J Faber Marjan M Durand Marie-Anne MA

JMIR cancer 20181121 2

<h4>Background</h4>Randomized trials of Web-based decision aids for prostate-specific antigen (PSA) testing indicate that these interventions improve knowledge and reduce decisional conflict. However, we do not know about these tools' impact on people who spontaneously use a PSA testing patient decision aid on the internet.<h4>Objective</h4>The objectives of this study were to (1) determine the impact of the Web-based PSA Option Grid patient decision aid on preference shift, knowledge, and decis ...[more]

PMID: 30463840

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Project description:BackgroundA comprehensive model of the relationships among different shared decision-making related constructs and their effects on patient-relevant outcomes is largely missing. Objective of our study was the development of a model linking decision-making in medical encounters to an intermediate and a long-term endpoint. The following hypotheses were tested: physicians are more likely to involve patients who have a preference for participation and are willing to take responsibility in the medical decision-making process, increased patient involvement decreases decisional conflict, and lower decisional conflict favourably influences patient satisfaction with the physician.MethodsThis model was tested in a German primary care sample (N?=?1,913). Psychometrically tested instruments were administered to assess the following: patients' preference for being involved in medical decision-making, patients' experienced involvement in medical decision-making, decisional conflict, and satisfaction with the primary care provider. Structural equation modelling was used to explore multiple associations. The model was tested and adjusted in a development sub-sample and cross-validated in a confirmatory sample. Demographic and clinical characteristics were accounted for as possible confounders.ResultsLocal and global indexes suggested an acceptable fit between the theoretical model and the data. Increased patient involvement was strongly associated with decreased decisional conflict (standardised regression coefficient ??=?-.73). Both high experienced involvement (??=?.34) and low decisional conflict (B?=?-.28) predicted higher satisfaction with the physician. Patients' preference for involvement was negatively associated with the experienced involvement (B?=?-.24).ConclusionAltogether, our model could be largely corroborated by the collected empirical data except the unexpected negative association between preference for involvement and experienced involvement. Future research on the associations among different SDM-related constructs should incorporate longitudinal studies in order to strengthen the hypothesis of causal associations.

Project description:BackgroundBoth patients and surrogate decision-makers experience decisional conflict when making a major medical treatment decision with life or death implications. The relationship between health literacy and decisional conflict while making a major medical treatment decision is not understood.ObjectiveTo identify the prevalence of individuals making major medical treatment decisions for themselves or someone else and to explore the relationships between decisional conflict and circumstances of the decision as well as the decision-maker.DesignTwo-phase survey study: in phase 1, we screened for who made a major treatment decision; in phase 2, we asked eligible respondents about their experience making the decision.ParticipantsAddress-based random sample of 4000 Wisconsin residents; 1072 completed phase 1 and 464 completed phase 2.Main measuresWe asked respondents about types of decisions made, the most difficult decision made, and characteristics of the decision-maker and the decision. We included the Decisional Conflict Scale and four domains of the Health Literacy Questionnaire. Open-ended questions also allowed respondents to describe their experiences.Key resultsAbout 43% of respondents reported making a major medical treatment decision. Decisions about major surgery and life support were regarded as the most difficult decisions. Respondents who made the decision for a spouse/partner (β = 6.65, p = 0.012), parent (β = 9.27, p < 0.001), or someone else (β = 10.7, p < 0.001) had higher decisional conflict. Respondents who reported higher ability to actively engage with healthcare providers (β = - 5.24, p = 0.002) and to understand health information well enough to know what to do (β = - 6.12, p = 0.001) had lower decisional conflict.ConclusionsThe need to make major treatment decisions is likely to increase and making decisions on someone else's behalf appeared to be especially difficult. Improving communication to encourage patient and family engagement in the decision-making conversation, particularly for individuals with limited health literacy, may be helpful.

Project description:Competing health concerns present real obstacles to people living with diabetes and other chronic diseases as well as to their primary care providers. Guideline implementation interventions rarely acknowledge this, leaving both patients and providers feeling overwhelmed by the volume of recommended actions. Interprofessional (IP) shared decision-making (SDM) with the use of decision aids may help to set treatment priorities. We developed an evidence-based SDM intervention for patients with diabetes and other conditions that was framed by the IP-SDM model and followed a user-centered approach. Our objective in the present study is to pilot an IP-SDM and goal-setting toolkit following the Knowledge-to-Action Framework to assess (1) intervention fidelity and the feasibility of conducting a larger trial and (2) impact on decisional conflict, diabetes distress, health-related quality of life and patient assessment of chronic illness care.A two-step, parallel-group, clustered randomized controlled trial (RCT) will be conducted, with the primary goal being to assess intervention fidelity and the feasibility of conducting a larger RCT. The first step is a provider-directed implementation only; the second (after a 6-month delay) involves both provider- and patient-directed implementation. Half of the clusters will be assigned to receive the IP-SDM toolkit, and the other will be assigned to be mailed a diabetes guidelines summary. Individual interviews with patients, their family members and health care providers will be conducted upon trial completion to explore toolkit use. A secondary purpose of this trial is to gather estimates of the toolkit's impact on decisional conflict. Secondary outcomes include diabetes distress, quality of life and chronic illness care, which will be assessed on the basis of patient-completed questionnaires of validated scales at baseline and at 6 and 12 months. Multilevel hierarchical regression models will be used to account for the clustered nature of the data.An individualized approach to patients with multiple chronic conditions using SDM and goal setting is a desirable strategy for achieving guideline-concordant treatment in a patient-centered fashion. Our pilot trial will provide insights regarding strategies for the routine implementation of such interventions in clinical practice, and it will offer an assessment of the impact of this approach.Clinicaltrials.gov Identifier: NCT02379078. Date of Registration: 11 February 2015.

Dataset Information

Assessing Preference Shift and Effects on Patient Knowledge and Decisional Conflict: Cross-Sectional Study of an Interactive Prostate-Specific Antigen Test Patient Decision Aid.

Publications

Assessing Preference Shift and Effects on Patient Knowledge and Decisional Conflict: Cross-Sectional Study of an Interactive Prostate-Specific Antigen Test Patient Decision Aid.

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