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Pel-Littel RE, Buurman BM, Minkman MM, Scholte Op Reimer WJM, Twisk JWR, van Weert JCM. The influence of health literacy, anxiety and education on shared decision making and decisional conflict in older adults, and the mediating role of patient participation: A video observational study. PATIENT EDUCATION AND COUNSELING 2024; 124:108274. [PMID: 38547640 DOI: 10.1016/j.pec.2024.108274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 02/23/2024] [Accepted: 03/21/2024] [Indexed: 05/06/2024]
Abstract
OBJECTIVE To explore the relationship between personal characteristics of older adults with multiple chronic conditions (MCCs) and perceived shared decision making (SDM) resp. decisional conflict. METHODS In a video-observational study (N = 213) data were collected on personal characteristics. The main outcomes were perceived level of SDM and decisional conflict. The mediating variable was participation in the SDM process. A twostep mixed effect multilinear regression and a mediation analysis were performed to analyze the data. RESULTS The mean age of the patients was 77.3 years and 56.3% were female. Health literacy (β.01, p < .001) was significantly associated with participation in the SDM process. Education (β = -2.43, p = .05) and anxiety (β = -.26, p = .058) had a marginally significant direct effect on the patients' perceived level of SDM. Education (β = 12.12, p = .002), health literacy (β = -.70, p = .005) and anxiety (β = 1.19, p = .004) had a significant direct effect on decisional conflict. The effect of health literacy on decisional conflict was mediated by participation in SDM. CONCLUSION Health literacy, anxiety and education are associated with decisional conflict. Participation in SDM during consultations plays a mediating role in the relationship between health literacy and decisional conflict. PRACTICE IMPLICATIONS Tailoring SDM communication to health literacy levels is important for high quality SDM.
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Affiliation(s)
- Ruth E Pel-Littel
- Department of Internal Medicine, Section of Geriatric Medicine, Academic Medical Centre, University of Amsterdam, Amsterdam, the Netherlands; Vilans, Centre of expertise for long-term care, Utrecht, the Netherlands.
| | - Bianca M Buurman
- Department of Internal Medicine, Section of Geriatric Medicine, Academic Medical Centre, University of Amsterdam, Amsterdam, the Netherlands; ACHIEVE, Centre of Applied Research, Faculty of Health, Amsterdam University of Applied Sciences, Amsterdam, the Netherlands
| | - Mirella M Minkman
- Vilans, Centre of expertise for long-term care, Utrecht, the Netherlands; TIAS School for Business and Society, Tilburg University, Tilburg, the Netherlands
| | | | - Jos W R Twisk
- Department of Epidemiology and Biostatistics, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Julia C M van Weert
- Amsterdam School of Communication Research/ASCoR, University of Amsterdam, Amsterdam, the Netherlands
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2
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Tauqeer F, Moen A, Myhr K, Wilson CA, Lupattelli A. Assessing decisional conflict and challenges in decision-making among perinatal women using or considering using antidepressants during pregnancy-a mixed-methods study. Arch Womens Ment Health 2023; 26:669-683. [PMID: 37480405 PMCID: PMC10491504 DOI: 10.1007/s00737-023-01341-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 06/17/2023] [Indexed: 07/24/2023]
Abstract
This study aims to investigate decisional conflict and elucidate challenges in decision-making among perinatal women using or considering using antidepressant (AD) during pregnancy. A sequential, mixed-methods study was employed among pregnant and postnatal women in Norway who had been offered ADs in the last 5 years. Quantitative data were obtained through an electronic questionnaire. Decisional conflict in pregnancy was assessed using the Decisional Conflict Scale (DCS) defined as either low (< 25) or moderate-high ( ≥ 25) (evaluated retrospectively for postnatal women). Logistic regression was used to identify factors associated with moderate-high decisional conflict. Qualitative data were collected through focus groups with pregnant and postnatal women, and an inductive approach was used for data analysis. Among 174 pregnant and 102 postnatal women, 67.8% and 69.6%, respectively, reported moderate-high decisional conflict during pregnancy. Unsatisfactory doctor-patient relationship was associated with greater likelihood of having moderate-high decisional conflict in pregnancy, both in pregnant (aOR = 1.20, 95% CI: 1.00-1.44) and postnatal women (aOR = 1.40, 95% CI: 1.08-1.82). Reported barriers to decision-making regarding AD use in pregnancy encompassed five DCS subscales: uninformed knowledge following contradictory research and unfamiliarity with authorised resources, unclear values due to emotional blunting and fear associated with AD use, inadequate support, uncertainty in decisions and ineffective decisions due to difficulty in finding personalised treatment, and diverging recommendations by the healthcare providers (HCPs). The quality of the interaction with the HCP plays a crucial role in managing decisional conflict and supporting informed decisions in the management of perinatal mental illness. This study highlights the need for increased provision of clear, evidence-based information by HCPs to facilitate shared decision-making and create personalised treatments for perinatal women considering AD use during pregnancy.
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Affiliation(s)
- Fatima Tauqeer
- Pharmacoepidemiology and Drug Safety Research Group, Department of Pharmacy, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway.
| | - Anne Moen
- Faculty of Medicine, Institute for Health and Society, University of Oslo, Oslo, Norway
| | - Kirsten Myhr
- Department of Community Medicine and Global Health, Institute of Health and Society, University of Oslo, Oslo, Norway
| | - Claire A Wilson
- Section of Women's Mental Health, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Angela Lupattelli
- Pharmacoepidemiology and Drug Safety Research Group, Department of Pharmacy, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway
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Thomas EC, Simmons MB, Mathai C, Salzer MS. Peer-Facilitated Decision Making in Mental Health: Promises, Pitfalls, and Recommendations for Research and Practice. Psychiatr Serv 2023; 74:401-406. [PMID: 36164774 PMCID: PMC10405208 DOI: 10.1176/appi.ps.20220086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Recognition has grown that peer support workers serve an important role in facilitating decision making about treatment and recovery among people with mental health conditions. This article provides examples of peer-facilitated decision support interventions in the literature, discusses promises and potential pitfalls associated with peers serving in decision support roles, and offers recommendations for research and practice. Examples were selected from the literature on decision support interventions for people with serious mental illnesses, such as schizophrenia, bipolar disorder, and major depression. Promises, pitfalls, and recommendations were informed by this research and by the literature on lived experience perspectives, the helper-therapy principle, and reported barriers to and facilitators of peers assisting with decision making. According to the included studies, peers may facilitate decision making in several ways (e.g., by asking service users about their goals or preferences, assisting them with using decision support tools, sharing stories, and facilitating access to information and resources). Peer-facilitated decision support may be associated with positive decision making and health outcomes for service users and peer support workers. However, providers need to carefully consider barriers to implementation of this support, such as inadequate resourcing, poor integration, and compromising of peer support values.
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Affiliation(s)
- Elizabeth C. Thomas
- Department of Social and Behavioral Sciences, College of Public Health, Temple University
| | - Magenta B. Simmons
- Orygen, Parkville, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Chacku Mathai
- Chacku Mathai Consulting LLC
- OnTrackNY and Center for Practice Innovations, Columbia University
| | - Mark S. Salzer
- Department of Social and Behavioral Sciences, College of Public Health, Temple University
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Dawson S, Muir-Cochrane E, Simpson A, Lawn S. Community treatment orders and care planning: How is engagement and decision-making enacted? Health Expect 2021; 24:1859-1867. [PMID: 34382300 PMCID: PMC8483198 DOI: 10.1111/hex.13329] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 07/12/2021] [Accepted: 07/16/2021] [Indexed: 01/07/2023] Open
Abstract
Background In many jurisdictions worldwide, individuals with a mental illness may be forced to receive care and treatment in the community. In Australia, legislation states that such care should be driven by a care plan that is recovery‐focussed. Key components in the care planning process include engagement and decision‐making about a person's support needs and care options, with trust being an essential component of care planning relationships. Objective This study examines how these components were enacted during service care contacts for individuals on community treatment orders. Methods The study was located at two community mental health teams in South Australia. Ethnographic observations of care planning discussions between consumers, their carers and clinicians, and interviews with individuals from these groups, were conducted over 18 months. Carspecken's critical ethnography provided a rigorous means for examining the data to identify underlying cultural themes that were informing day‐to‐day care interactions. Results Care planning was not occurring as it was intended, with service culture and structures impeding the development of trusting relationships. Clinicians striving to work collaboratively with consumers had to navigate a service bias and culture that emphasized a hierarchy of ‘knowing’, with consumers assumed to have less knowledge than clinicians. Conclusions Services and clinicians can challenge prejudicial ethical injustice and counter this through testimonial justice and implementation of tools and approaches that support genuine shared decision‐making. Patient or Public Contribution This study included individuals with lived experience of mental illness, their carers and clinicians as participants and researchers.
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Affiliation(s)
- Suzanne Dawson
- School of Allied Health Science and Practice, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, Australia.,College of Nursing and Health Sciences, Flinders University, Adelaide, Australia.,Mental Health Directorate, Central Adelaide Local Health Network, Adelaide, Australia
| | - Eimear Muir-Cochrane
- College of Nursing and Health Sciences, Flinders University, Adelaide, Australia
| | - Alan Simpson
- Health Service and Population Research Department, Florence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King's College London, Institute of Psychiatry, Psychology & Neuroscience, London, UK
| | - Sharon Lawn
- College of Medicine and Public Health, Flinders University, Adelaide, Australia
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5
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Effectiveness of patient decision aids in women considering psychotropic medication use during pregnancy: a literature review. Arch Womens Ment Health 2021; 24:569-578. [PMID: 33751206 DOI: 10.1007/s00737-021-01118-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2020] [Accepted: 02/26/2021] [Indexed: 10/22/2022]
Abstract
Women face complicated decisions regarding psychotropic medication use during pregnancy. Patient decision aids (PDAs) could be a valuable tool to assist with decision-making. The objective of this review was to evaluate the effectiveness of PDAs in this population. A systematic search of the literature was conducted using PRISMA guidelines. Three major databases were searched to identify articles published between 2006 and June 2020. Studies were included if they evaluated use of a PDA for women considering medication for mental illness during pregnancy. A total of 4629 titles were returned from the search; however, only three studies met inclusion criteria and were selected for analysis. Two were pilot randomised controlled trials in women considering antidepressant use during pregnancy, and one was a non-randomised study in women considering medication for the treatment of opioid use disorder (OUD). The PDAs had good acceptability across all three studies. The randomised trials assessed knowledge, decisional conflict, depression, and anxiety, with non-significant trends towards reduced decisional conflict and anxiety in the PDA groups. PDAs have the potential to assist women with mental illnesses to make decisions regarding medication use during pregnancy; however, current evidence is too limited to evaluate the effectiveness of PDAs for this population.
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6
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Fisher A, Marel C, Teesson M, Mills K. Assessing patient information and decision-support needs in problematic alcohol use and co-occurring depression to inform shared decision-making interventions. Bull Menninger Clin 2021; 85:143-176. [PMID: 34032461 DOI: 10.1521/bumc.2021.85.2.143] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
The authors assessed the informational and decision-support needs of patients, families, and clinicians when deciding on treatment for problematic alcohol use and depression. Patients (n = 56), family members (n = 16), and clinicians (n = 65) with experience deciding on treatment for problematic alcohol use and depression were eligible. Participants completed an online decisional needs assessment survey. Stakeholder groups identified numerous difficult patient-level treatment decisions and elevated decisional conflict. Participants preferred patient-led or shared treatment decision-making (75%-95.4%). Patients (32.6%) reported not being as involved in treatment decision-making as preferred, a higher proportion than reported by clinicians (16.4%; p = .056). More patients (19.6%) than clinicians (3.6%) reported clinician-led treatment decision-making, with little or no patient involvement (p = .022). Stakeholder preferences for future decision-support resources included online information for use outside consultations.
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Affiliation(s)
| | | | | | - Katherine Mills
- Matilda Centre for Research in Mental Health and Substance Use, Sydney School of Medicine, Faculty of Medicine and Health, The University of Sydney, Australia
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Tang H, Wang S, Dong S, Du R, Yang X, Cui P, Liu W, Kou J, Chen C. Surgery decision conflict and its related factors among newly diagnosed early breast cancer patients in China: A cross-sectional study. Nurs Open 2021; 8:2578-2586. [PMID: 33630425 PMCID: PMC8363395 DOI: 10.1002/nop2.791] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 12/14/2020] [Accepted: 01/29/2021] [Indexed: 12/09/2022] Open
Abstract
Aim The aim of this study was to explore surgery decision conflict and its related factors among newly diagnosed early breast cancer patients in China. Design A cross‐sectional survey study was conducted. Methods A total of 262 patients confronted with surgery decision‐making were enrolled. The related factors were assessed with a demographic questionnaire, the Chinese version of the Decision Conflict Scale (DCS‐C‐16) and the Patient Participation Competence Scale (PPCS). Results Patients had a high level of decision conflict that was negatively correlated with the PPCS score. Age, marital status, living environment, education level, family income, cancer stage and the PPCS score were independent factors influencing decision conflict. Marital status, education level, cancer stage and participation competence were significant predictors of decision conflict. Patients who had higher participation competence were married, were well educated and had a lower cancer stage were likely to experience lower decision conflict.
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Affiliation(s)
- Han Tang
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,The School of Nursing and Health, Zhengzhou University, Zhengzhou, China
| | - Shang Wang
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Shiqi Dong
- The School of Nursing and Health, Zhengzhou University, Zhengzhou, China
| | - Ruofei Du
- The School of Nursing and Health, Zhengzhou University, Zhengzhou, China
| | - Xiao Yang
- The School of Nursing, Sun Yat-sen University, Guangzhou, China
| | - Panpan Cui
- The School of Nursing and Health, Zhengzhou University, Zhengzhou, China
| | - Wei Liu
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jie Kou
- Nursing department, Henan Provincial People's Hospital, Zhengzhou, China
| | - Changying Chen
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,The School of Nursing and Health, Zhengzhou University, Zhengzhou, China
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8
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Wu F, Zhuang Y, Chen X, Wen H, Tao W, Lao Y, Zhou H. Decision-making among the substitute decision makers in intensive care units: An investigation of decision control preferences and decisional conflicts. J Adv Nurs 2020; 76:2323-2335. [PMID: 32538477 DOI: 10.1111/jan.14451] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 04/10/2020] [Accepted: 05/22/2020] [Indexed: 01/22/2023]
Abstract
AIMS To explore decision control preferences and decisional conflicts and to analyse their association among the surrogate decision makers in the intensive care unit. DESIGN The study carried out a cross-sectional survey among the surrogates. METHODS The participants were 115 surrogate decision makers of critical patients, from August to September 2019. A Chi-squared test and logistic regression were used to assess decision control preferences and decisional conflicts, and Spearman's rank correlation coefficient was employed to examine their association. RESULTS Of the 115 surrogate decision makers, 51.3% preferred a collaborative role, and 63.48% were somewhat unsure about making decisions. Logistic regression analysis identified decision control preferences was associated with surrogates' age, education level, and personality traits, while decisional conflicts was associated with surrogates' age, education level, character, medical expense burden, and Acute Physiology and Chronic Health Evaluation-II score. Cohen's kappa statistics showed a bad concordance of decision-making expectations and actuality, with kappa values of 0.158 (p < .05). Wherein surrogates who experienced discordance between their preferred and actual roles, have relatively higher decisional conflicts. CONCLUSION This study identified individual differences of surrogate decision makers in decision control preferences and decisional conflicts. These results imply that incorporation of the individual decision preferences and communication styles into care plans is an important first step to develop high quality decision support. IMPACT This research is a contribution to the limited study on decision control preferences and decisional conflicts among surrogate decision makers of critically ill patients. Moreover based on the investigation of understanding the status and related factors of decision preferences and decisional conflicts set the stage for developing effective decision support interventions.
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Affiliation(s)
- Feixia Wu
- School of Nursing, Huzhou University, Huzhou, China
| | - Yiyu Zhuang
- Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiangping Chen
- Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Huan Wen
- School of Nursing, Huzhou University, Huzhou, China
| | - Wenwen Tao
- Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yuewen Lao
- Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Hongchang Zhou
- School of Medicine and Nursing Sciences, Huzhou University, Huzhou Central Hospital, Huzhou, China
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Morán-Sánchez I, Bernal-López MA, Pérez-Cárceles MD. Compulsory admissions and preferences in decision-making in patients with psychotic and bipolar disorders. Soc Psychiatry Psychiatr Epidemiol 2020; 55:571-580. [PMID: 31728560 DOI: 10.1007/s00127-019-01809-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Accepted: 11/09/2019] [Indexed: 10/25/2022]
Abstract
PURPOSE Participation in medical decisions and taking into account patients' values and preferences are especially important for psychiatric patients who may be treated against their will. The increasing rates of coercive measures and the underlying clinical, ethical, and legal issues highlight the need to examine their use in psychiatry. Although limited congruence in decision-making preferences may be on the basis of these coercive practices, this issue has not been adequately addressed. We explore the relationship between compulsory admissions and congruence in decision-making preferences in mental health settings. METHODS Cross-sectional study among 107 outpatients with DSM diagnoses of schizophrenia of bipolar disorder using the Control Preference Scale to assess congruence in decision-making experienced and preferred style. History of compulsory admissions was obtained through review of available records. Descriptive statistics and multivariate analyses were used. RESULTS 70% of patients reported experiencing their preferred style of decision-making and 44% patients had history of compulsory admissions. These patients were more autonomous and preferred to take a more active role. The degree of congruence was lower in patients with previous compulsory admissions. The best predictors of compulsory admissions were not having a regular doctor and the unmatched participation preferences. CONCLUSIONS Patients who experienced a different level of participation in decision-making than desired more frequently had compulsory admissions. We propose to assess participation preferences each time a relevant treatment decision is about to be made and tailor care accordingly. We identified several factors leading to compulsory admissions that can be modified to prevent further coercive measures.
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Affiliation(s)
- Inés Morán-Sánchez
- Mental Health Centre, Health Service of Murcia, CSM Cartagena, Calle Real, 8, 30201, Murcia, Spain.
| | - María A Bernal-López
- Mental Health Centre, Health Service of Murcia, CSM Cartagena, Calle Real, 8, 30201, Murcia, Spain
| | - Maria D Pérez-Cárceles
- Department of Legal and Forensic Medicine, Faculty of Medicine, Biomedical Research Institute (IMIB), Regional Campus of International Excellence "Campus Mare Nostrum", University of Murcia, Murcia, Spain
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10
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Coffey M, Hannigan B, Meudell A, Jones M, Hunt J, Fitzsimmons D. Quality of life, recovery and decision-making: a mixed methods study of mental health recovery in social care. Soc Psychiatry Psychiatr Epidemiol 2019; 54:715-723. [PMID: 30470882 DOI: 10.1007/s00127-018-1635-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2018] [Accepted: 11/17/2018] [Indexed: 10/27/2022]
Abstract
PURPOSE Mental health care is a complex system that includes social care organisations providing support for people with continuing needs. The relationship over time between decisional conflict, social support, quality of life and recovery outcomes across two time periods for people experiencing mental health problems in receipt of social care was investigated. METHODS This is a mixed methods study comprised of a quantitative survey at two time points using measures of decisional conflict, social support, recovery and quality of life in a random sample (n = 122) using social care services in Wales, UK. In addition, 16 qualitative case studies were developed from data collected from individuals, a supportive other and a care worker (n = 41) to investigate trajectories of care. Survey responses were statistically analysed using SPSS and case study data were thematically analysed. RESULTS Participants reported increasing decisional conflict and decreasing social support, recovery and quality of life over the two time points. Linear regression indicated that higher recovery scores predict better quality of life ratings and as ratings for social support decline this is associated with lower quality of life. Correlational analysis indicated that lower decisional conflict is associated with higher quality of life. Thematic analysis indicated that 'connectedness and recovery' is a product of 'navigating the system of care' and the experience of 'choice and involvement' achieved by individuals seeking help. CONCLUSIONS These results indicate that quality of life for people experiencing mental health difficulties is positively associated with social support and recovery and negatively associated with decisional delay.
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Affiliation(s)
- Michael Coffey
- Department of Public Health, Policy and Social Sciences, Swansea University, Wales, UK.
| | | | | | - Mari Jones
- Swansea Centre for Health Economics, Swansea University, Wales, UK
| | - Julian Hunt
- Department of Public Health, Policy and Social Sciences, Swansea University, Wales, UK
| | - Deb Fitzsimmons
- Swansea Centre for Health Economics, Swansea University, Wales, UK
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Shared decision-making in mental health care using routine outcome monitoring: results of a cluster randomised-controlled trial. Soc Psychiatry Psychiatr Epidemiol 2019; 54:209-219. [PMID: 30151651 DOI: 10.1007/s00127-018-1589-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Accepted: 08/20/2018] [Indexed: 10/28/2022]
Abstract
PURPOSE To investigate the effects of Shared Decision-Making (SDM) using Routine Outcome Monitoring (ROM) primary on patients' perception of Decisional Conflict (DC), which measures patients' engagement in and satisfaction with clinical decisions, and secondary on working alliance and treatment outcomes. METHOD Multi-centre two-arm matched-paired cluster randomised-controlled trial in Dutch specialist mental health care. SDM using ROM (SDMR) was compared with Decision-Making As Usual (DMAU). Outcomes were measured at baseline (T0) and 6 months (T1). Multilevel regression and intention-to-treat analyses were used. Post hoc analyses were performed on influence of subgroups and application of SDMR on DC. RESULTS Seven teams were randomised to each arm. T0 was completed by 186 patients (51% intervention; 49% control) and T1 by 158 patients (51% intervention, 49% control). DC, working alliance, and treatment outcomes reported by patients did not differ significantly between two arms. Post hoc analyses revealed that SDMR led to less DC among depressed patients (p = 0.047, d =- 0.69). If SDMR was applied well, patients reported less DC (SDM: p = 0.000, d = - 0.45; ROM: p = 0.021, d = - 0.32), which was associated with better treatment outcomes. CONCLUSION Except for patients with mood disorders, we found no difference between the arms for patient-reported DC. This might be explained by the less than optimal uptake of this generic intervention, which did not support patients directly. Regarding the positive influence of a higher level of applying SDM and ROM on less DC and better treatment outcomes, the results are encouraging for further investments in patient-oriented development and implementation of SDMR.
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12
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Metz M, Elfeddali I, Veerbeek M, de Beurs E, Beekman A, van der Feltz-Cornelis C. Effectiveness of a multi-facetted blended eHealth intervention during intake supporting patients and clinicians in Shared Decision Making: A cluster randomised controlled trial in a specialist mental health outpatient setting. PLoS One 2018; 13:e0199795. [PMID: 29944712 PMCID: PMC6019395 DOI: 10.1371/journal.pone.0199795] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Accepted: 06/12/2018] [Indexed: 11/23/2022] Open
Abstract
OBJECTIVE To investigate the effectiveness of a multi-facetted blended eHealth intervention, called SDM-Digital Intake (SDM-DI), in which patients and clinicians are supported in Shared Decision Making during the intake process. METHODS The study is a two-arm matched-paired cluster Randomised Controlled Trial in a specialist mental health outpatient setting with two conditions: SDM-DI and Intake As Usual (IAU). Four intake teams were allocated to each arm. All patients who followed an intake, were asked to participate if they were capable to complete questionnaires. Decisional Conflict (DC), referring to patients' engagement and satisfaction with clinical decisions, was the primary outcome. Secondary outcomes were patient participation, applying Shared Decision Making (SDM), working alliance, treatment adherence and symptom severity. Effects were measured at two weeks (T1) and two months (T2) after intake. Multilevel regression and intention-to-treat analyses were used. Additionally, the influence of subgroups and intervention adherence on DC were explored. RESULTS At T1, 200 patients participated (47% intervention, 53% control), and at T2 175 patients (47% intervention, 53% control). At T1 and T2, no differences were found between conditions on DC. Subgroup analyses showed that effects of SDM-DI on DC were not modified by primary diagnoses mood, anxiety and personality disorders. Compared to IAU, at T2, patients reported positive effects of SDM-DI on SDM (β 7.553, p = 0.038, 95%CI:0.403-14.703, d = 0.32) and reduction of symptoms (β -7.276, p = 0.0497, 95%CI:-14.544--0.008, d = -0.43). No effects were found on patient participation, working alliance and treatment adherence. Exploratory analyses demonstrated that if SDM was applied well, patients reported less DC (β = -0.457, p = 0.000, 95%CI:-0.518--0.396, d = -1.31), which was associated with better treatment outcomes. CONCLUSION Although, this trial fails to demonstrate that SDM-DI by itself is sufficient to reduce DC, the results are encouraging for further efforts in improving and implementing the SDM intervention.
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Affiliation(s)
- Margot Metz
- GGz Breburg, Tilburg, The Netherlands
- Trimbos Institute, Utrecht, The Netherlands
- VU University, EMGO, Amsterdam, The Netherlands
| | - Iman Elfeddali
- GGz Breburg, Tilburg, The Netherlands
- Tilburg University, Tranzo Department, Tilburg, The Netherlands
| | | | - Edwin de Beurs
- Foundation for Benchmarking Mental Health Care, Bilthoven, The Netherlands
- University of Leiden, Department of Clinical Psychology, Leiden, The Netherlands
| | - Aartjan Beekman
- GGZ inGeest, Amsterdam, The Netherlands
- VU University Medical Centre, Department of Psychiatry, Amsterdam, The Netherlands
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