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Qualitative analysis of clinicians' perspectives on the use of a computerized decision aid in the treatment of psychotic disorders.

ABSTRACT: BACKGROUND:Clinical decision aids are used in various medical fields to support patients and clinicians when making healthcare decisions. Few attempts have been made to implement such tools in psychiatry. We developed Treatment E-Assist (TREAT); a routine outcome monitoring based computerized clinical decision aid, which generates personalized treatment recommendations in the care of people with psychotic disorders. The aim of this study is to investigate how TREAT is used and evaluated by clinicians and how this tool can be improved. METHODS:Clinicians working with TREAT during a clinical trial were asked to participate in semi-structured interviews. The Unified Theory of Acceptance and Use of Technology (UTAUT) was used as a sensitizing theory to structure a part of the interview questions. The transcripts were analyzed using inductive thematic analysis to uncover the main themes. RESULTS:Thirteen clinicians (mean age: 49) of which eight psychiatrists and five nurse practitioners, participated in this study. Eight clinicians experienced TREAT as beneficial, whereas five experienced no additional benefits. Thematic analysis revealed five themes surrounding usage and evaluation of TREAT, views on TREAT's graphic representation of routine outcome monitoring results, guideline based treatment recommendations, contextual factors, effects on patients and effects on shared decision-making. Performance and effort expectancy were perceived as high by clinicians. The facilitating conditions were optimal and perceived social influence was low. CONCLUSION:This article presents a qualitative evaluation by clinicians of a computerized clinical decision aid in psychosis care. TREAT was viewed by most clinicians as beneficial during their consultations. The graphic representation of routine outcome monitoring results was well-appreciated and provided input to discuss treatment planning with patients. The treatment recommendations did not change most treatment decisions but supported clinical reasoning. However, some clinicians were unconvinced about TREAT's benefits. The delivery, applicability and the availability of resources require improvement to increase TREAT's efficacy. Not all patients responded well to TREAT but the observed facilitation of shared decision-making is promising. All four predictors of the Unified Theory of Acceptance and Use of Technology were positively evaluated by the majority of clinicians.

SUBMITTER: Roebroek LO

PROVIDER: S-EPMC7499839 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Qualitative analysis of clinicians' perspectives on the use of a computerized decision aid in the treatment of psychotic disorders.

Roebroek Lukas O LO Bruins Jojanneke J Delespaul Philippe P Boonstra Albert A Castelein Stynke S

BMC medical informatics and decision making 20200917 1

<h4>Background</h4>Clinical decision aids are used in various medical fields to support patients and clinicians when making healthcare decisions. Few attempts have been made to implement such tools in psychiatry. We developed Treatment E-Assist (TREAT); a routine outcome monitoring based computerized clinical decision aid, which generates personalized treatment recommendations in the care of people with psychotic disorders. The aim of this study is to investigate how TREAT is used and evaluated ...[more]

PMID: 32943027

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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.

Project description:ImportanceDevelopmental delays and disabilities are common in children. Research has indicated that intervention during the early years of a child's life has a positive effect on cognitive development, social skills and behavior, and subsequent school performance.ObjectiveTo determine whether a computerized clinical decision support system is an effective approach to improve standardized developmental surveillance and screening (DSS) within primary care practices.Design, setting, and participantsIn this cluster randomized clinical trial performed in 4 pediatric clinics from June 1, 2010, through December 31, 2012, children younger than 66 months seen for primary care were studied.InterventionsWe compared surveillance and screening practices after adding a DSS module to an existing computer decision support system.Main outcomes and measuresThe rates at which children were screened for developmental delay.ResultsMedical records were reviewed for 360 children (180 each in the intervention and control groups) to compare rates of developmental screening at the 9-, 18-, or 30-month well-child care visits. The DSS module led to a significant increase in the percentage of patients screened with a standardized screening tool (85.0% vs 24.4%, P < .001). An additional 120 records (60 each in the intervention and control groups) were reviewed to examine surveillance rates at visits outside the screening windows. The DSS module led to a significant increase in the percentage of patients whose parents were assessed for concerns about their child's development (71.7% vs 41.7%, P = .04).Conclusions and relevanceUsing a computerized clinical decision support system to automate the screening of children for developmental delay significantly increased the numbers of children screened at 9, 18, and 30 months of age. It also significantly improved surveillance at other visits. Moreover, it increased the number of children who ultimately were diagnosed as having developmental delay and who were referred for timely services at an earlier age.Trial registrationclinicaltrials.gov Identifier: NCT01351077.

Project description:BackgroundThe American Urological Association White Paper on Implementation of Shared Decision Making (SDM) into Urological Practice suggested SDM represents the state of the art in counseling for patients who are faced with difficult or uncertain medical decisions. The Michigan Urological Surgery Improvement Collaborative (MUSIC) implemented a decision aid, Personal Patient Profile-Prostate (P3P), in 2018 to help newly diagnosed prostate cancer patients make shared decisions with their clinicians. We conducted a qualitative study to assess statewide implementation of P3P throughout MUSIC.MethodsWe recruited urologists and staff from 17 MUSIC practices (8 implementation and 9 comparator practices) to understand how practices engaged patients on treatment discussions and to assess facilitators and barriers to implementing P3P. Interview guides were developed based on the Tailored Interventions for Chronic Disease (TICD) Framework. Interviews were transcribed for analysis and coded independently by two investigators in NVivo, PRO 12. Additionally, quantitative program data were integrated into thematic analyses.ResultsWe interviewed 15 urologists and 11 staff from 16 practices. Thematic analysis of interview transcripts indicated three key themes including the following: (i) P3P is compatible as a SDM tool as over 80% of implementation urologists asked patients to complete the P3P questionnaire routinely and used P3P reports during treatment discussions; (ii) patient receptivity was demonstrated by 370 (50%) of newly diagnosed patients (n = 737) from 8 practices enrolled in P3P with 78% completion rate, which accounts for 39% of all newly diagnosed patients in these practices; and (iii) urologists' attitudes towards SDM varied. Over a third of urologists stated they did not rely on a decision aid. Comparator practices indicated habit, inertia, or concerns about clinic flow as reasons for not adopting P3P and some were unconvinced a decision aid is needed in their practice.ConclusionUrologists and staff affiliated with MUSIC implementation sites indicated that P3P focuses the treatment discussion on items that are important to patients. Experiences of implementation practices indicate that once initiated, there were no negative effects on clinic flow and urologists indicated P3P saves time during patient counseling, as patients were better prepared for focused discussions. Lack of awareness, personal habits, and inertia are reasons for not implementing P3P among the comparator practices.

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:BackgroundShared decision-making (SDM) is a process whereby clinicians and patients work together to select treatments based on both the patient's preferences and clinical evidence. Although patients with psychotic disorders want to participate more in decisions regarding their care, they have limited opportunities to do so because of various barriers. Knowing about health professionals' experiences with SDM is important toward achieving successful implementation. The study aim was to describe and explore health professionals' SDM experiences with patients with psychotic disorders.MethodsThree focus group interviews were conducted, with a total of 18 health professionals who work at one of three Norwegian community mental health centres where patients with psychotic disorders are treated. We applied a descriptive and exploratory approach using qualitative content analysis.ResultsHealth professionals primarily understand the SDM concept to mean giving patients information and presenting them with a choice between different antipsychotic medications. Among the barriers to SDM, they emphasized that patients with psychosis have a limited understanding of their health situation and that time is needed to build trust and alliances. Health professionals mainly understand patients with psychotic disorders as a group with limited abilities to make their own decisions. They also described the concept of SDM with little consideration of presenting different treatment options. Psychological or social interventions were often presented as complementary to antipsychotic medications, rather than as an alternative to them.ConclusionHealth professionals' understanding of SDM is inconsistent with the definition commonly used in the literature. They consider patients with psychotic disorders to have limited abilities to participate in decisions regarding their own treatment. These findings suggest that health professionals need more theoretical and practical training in SDM.

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Qualitative analysis of clinicians' perspectives on the use of a computerized decision aid in the treatment of psychotic disorders.

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Qualitative analysis of clinicians' perspectives on the use of a computerized decision aid in the treatment of psychotic disorders.

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