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Exploring the relationship between patients' information preference style and knowledge acquisition process in a computerized patient decision aid randomized controlled trial.

ABSTRACT: BACKGROUND:We have shown in a randomized controlled trial that a computerized patient decision aid (P-DA) improves medical knowledge and reduces decisional conflict, in early stage papillary thyroid cancer patients considering adjuvant radioactive iodine treatment. Our objectives were to examine the relationship between participants' baseline information preference style and the following: 1) quantity of detailed information obtained within the P-DA, and 2) medical knowledge. METHODS:We randomized participants to exposure to a one-time viewing of a computerized P-DA (with usual care) or usual care alone. In pre-planned secondary analyses, we examined the relationship between information preference style (Miller Behavioural Style Scale, including respective monitoring [information seeking preference] and blunting [information avoidance preference] subscale scores) and the following: 1) the quantity of detailed information obtained from the P-DA (number of supplemental information clicks), and 2) medical knowledge. Spearman correlation values were calculated to quantify relationships, in the entire study population and respective study arms. RESULTS:In the 37 P-DA users, high monitoring information preference was moderately positively correlated with higher frequency of detailed information acquisition in the P-DA (r = 0.414, p = 0.011). The monitoring subscale score weakly correlated with increased medical knowledge in the entire study population (r = 0.268, p = 0.021, N = 74), but not in the respective study arms. There were no significant associations with the blunting subscale score. CONCLUSIONS:Individual variability in information preferences may affect the process of information acquisition from computerized P-DA's. More research is needed to understand how individual information preferences may impact medical knowledge acquisition and decision-making.

SUBMITTER: Sawka AM

PROVIDER: S-EPMC4474358 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature

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Exploring the relationship between patients' information preference style and knowledge acquisition process in a computerized patient decision aid randomized controlled trial.

Sawka Anna M AM Straus Sharon S Rodin Gary G Tsang Richard W RW Brierley James D JD Rotstein Lorne L Segal Phillip P Gafni Amiram A Ezzat Shereen S Goldstein David P DP

BMC medical informatics and decision making 20150619

<h4>Background</h4>We have shown in a randomized controlled trial that a computerized patient decision aid (P-DA) improves medical knowledge and reduces decisional conflict, in early stage papillary thyroid cancer patients considering adjuvant radioactive iodine treatment. Our objectives were to examine the relationship between participants' baseline information preference style and the following: 1) quantity of detailed information obtained within the P-DA, and 2) medical knowledge.<h4>Methods< ...[more]

PMID: 26088605

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Project description:BackgroundRisk information in patient decision aids (PDAs) is often difficult for older patients to process. Providing audiovisual and narrative information may enhance the understanding and use of health-related information. We studied the effects on patients' information processing and use of audiovisual and narrative information of an early-stage non-small-cell lung cancer treatment decision aid explaining surgery and stereotactic ablative radiotherapy. We further investigated differences between older and younger patients.MethodsWe conducted a 2 (modality: textual v. audiovisual) × 2 (narration style: factual v. narrative) online experiment among cancer patients and survivors (N = 305; Mage = 62.42, SD = 11.68 y). Age was included as a potential modifier: younger (<65 y) versus older (≥65 y) age. We assessed 1) perceived cognitive load, 2) satisfaction with information, 3) comprehension, 4) information recall, and 5) decisional conflict. Analysis of variance was used for data analysis.ResultsIrrespective of patient age, audiovisual information (compared with textual information) led to lower perceived cognitive load, higher satisfaction with information, and lower decisional conflict (subscale Effective Decision). Narrative information (compared with factual information) led to reduced decisional conflict (subscale Uncertainty) but only in younger patients. Combining audiovisual information with factual information also resulted in lower perceived cognitive load in younger patients as compared with older patients.LimitationsPatients who actually face the decision, especially older patients, might be more motivated to process our decision-aid information than the present study participants who responded to a hypothetical situation online.ConclusionsProviding participants with audiovisual information, irrespective of their age, improved their processing and use of information in a decision aid. Narratives did not clearly benefit information processing.

Project description:ObjectiveTo evaluate the effectiveness of a contraceptive decision aid in reducing decisional conflict among women seeking reversible contraception.Study designWe conducted a randomized trial of a computer-based decision aid compared to a control group for women presenting for reversible contraception at two clinics affiliated with an academic medical center. The primary outcome was change in decisional conflict, measured before and after the healthcare visit using the validated Decisional Conflict Scale. We hypothesized the decision aid would reduce the decisional conflict score by 10 points on a 100-point scale (0 = no conflict, 100 = high conflict) compared to the control group. Secondary outcomes included contraceptive method chosen and satisfaction with the healthcare visit.ResultsWe enrolled and randomized 253 women, and 241 had complete data for our primary outcome. Overall, pre-visit decisional conflict scores were low, reflecting low levels of decisional conflict in our sample; median score 15 (range 0-80) in the decision aid and 10 (0-85) in the control group (p = 0.45). Both groups had a similar reduction in median decisional conflict after the healthcare visit: -10 (-80 to 25) and -10 (-60 to 5) in the decision aid and control groups respectively (p = 0.99). Choice of contraception (p = 0.23) and satisfaction with healthcare provider (p = 0.79) also did not differ by study group.ConclusionsDecisional conflict around contraception was low in both groups at baseline. Use of a computerized contraceptive decision aid did not reduce decisional conflict, alter method choice, or impact satisfaction compared to the control group among women choosing reversible contraception.ImplicationsUse of a computerized contraceptive decision aid did not reduce decisional conflict or alter method choice compared to the control group among women choosing reversible contraception. Future studies could focus on testing the decision aid in different clinical settings, especially where barriers to providing comprehensive contraceptive counseling exist.

Project description:BackgroundMaking evidence-based decisions often requires comparison of two or more options. Research-based evidence may exist which quantifies how likely the outcomes are for each option. Understanding these numeric estimates improves patients' risk perception and leads to better informed decision making. This paper summarises current "best practices" in communication of evidence-based numeric outcomes for developers of patient decision aids (PtDAs) and other health communication tools.MethodAn expert consensus group of fourteen researchers from North America, Europe, and Australasia identified eleven main issues in risk communication. Two experts for each issue wrote a "state of the art" summary of best evidence, drawing on the PtDA, health, psychological, and broader scientific literature. In addition, commonly used terms were defined and a set of guiding principles and key messages derived from the results.ResultsThe eleven key components of risk communication were: 1) Presenting the chance an event will occur; 2) Presenting changes in numeric outcomes; 3) Outcome estimates for test and screening decisions; 4) Numeric estimates in context and with evaluative labels; 5) Conveying uncertainty; 6) Visual formats; 7) Tailoring estimates; 8) Formats for understanding outcomes over time; 9) Narrative methods for conveying the chance of an event; 10) Important skills for understanding numerical estimates; and 11) Interactive web-based formats. Guiding principles from the evidence summaries advise that risk communication formats should reflect the task required of the user, should always define a relevant reference class (i.e., denominator) over time, should aim to use a consistent format throughout documents, should avoid "1 in x" formats and variable denominators, consider the magnitude of numbers used and the possibility of format bias, and should take into account the numeracy and graph literacy of the audience.ConclusionA substantial and rapidly expanding evidence base exists for risk communication. Developers of tools to facilitate evidence-based decision making should apply these principles to improve the quality of risk communication in practice.

Project description:Routinely monitoring of symptoms and medical needs can improve the diagnostics and treatment of medical problems, including psychiatric. However, several studies show that few clinicians use Routine Outcome Monitoring (ROM) in their daily work. We describe the development and first evaluation of a ROM based computerized clinical decision aid, Treatment-E-Assist (TREAT) for the treatment of psychotic disorders. The goal is to generate personalized treatment recommendations, based on international guidelines combined with outcomes of mental and physical health acquired through ROM. We present a pilot study aimed to assess the feasibility of this computerized clinical decision aid in daily clinical practice by evaluating clinicians' experiences with the system.Clinical decision algorithms were developed based on international schizophrenia treatment guidelines and the input of multidisciplinary expert panels from multiple psychiatric institutes. Yearly obtained diagnostic (ROM) information of patients was presented to treating clinicians combined with treatment suggestions generated by the algorithms of TREAT. In this pilot study 6 clinicians and 16 patients of Lentis Psychiatric Institute used the application. Clinicians were interviewed and asked to fill out self-report questionnaires evaluating their opinions about ROM and the effectiveness of TREAT.Six clinicians and 16 patients with psychotic disorders participated in the pilot study. The clinicians were psychiatrists, physicians and nurse-practitioners which all worked at least 8 years in mental health care of which at least 3 years treating patients with psychotic illnesses. All Clinicians found TREAT easy to use and would like to continue using the application. They reported that TREAT offered support in using diagnostic ROM information when drafting the treatment plans, by creating more awareness of current treatment options.This article presents a pilot study on the implementation of a computerized clinical decision aid linking routine outcome monitoring to clinical guidelines in order to generate personalized treatment advice. TREAT was found to be feasible for daily clinical practice and effective based on this first evaluation by clinicians. However, adjustments have to be made to the system and algorithms of the application. The ultimate goal is to provide appropriate evidence based care for patients with severe mental illnesses.

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Exploring the relationship between patients' information preference style and knowledge acquisition process in a computerized patient decision aid randomized controlled trial.

Publications

Exploring the relationship between patients' information preference style and knowledge acquisition process in a computerized patient decision aid randomized controlled trial.

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