The development and evaluation of a five-language multi-perspective standardised measure: clinical decision-making involvement and satisfaction (CDIS)

The therapeutic relationship in community mental health services: a systematic review of the literature

PURPOSE

This systematic review aimed to investigate the therapeutic relationship (TR) between mental health professionals (MHPs) and their patients in community mental health services (CMHS).

METHODS

PubMed (Medline), PsycINFO, CINAHL, CENTRAL, and Web of Science were searched for studies that assessed TR in CMHS using quantitative measures developed specifically for this setting (i.e., Helping Alliance Scale [HAS] and the Scale to Assess the Therapeutic Relationship [STAR]). Studies were included if they considered adult patients with a psychiatric disorder and/or any MHP working in CMHS. Meta-analysis and narrative synthesis assessed the association between patients' and MHPs' ratings and identified predictors of TR.

RESULTS

Of 1934 studies, 15 were included in the review, including 3004 patients. A total of 1127 patients and 963 MHPs were considered in the meta-analysis. The heterogeneity of the studies was high, and there was no significant difference between the patients' and MHPs' TR ratings in the random-effects model (standardized mean difference [SMD]: - 0.39 [95% CI: - 1.03; 0.24]). In the multivariable meta-regression, only duration of illness was significantly associated with TR ratings (unstandardized regression coefficient [B]: 0.388 [95% CI: 0.217; 0.558]). A recovery-oriented service, shared decision-making, and the recognition of patient needs contributed to more positive TR ratings.

CONCLUSION

Patients and MHPs converged in their TR ratings, although patients gave lower ratings. Routine assessment of TR in CMHS can inform reflective practice and service development, as TR can be assessed easily and early in the treatment process. Future research should focus on developing and testing interventions to improve TR in CMHS.

How do decision making and fairness mediate the relationship between involuntary hospitalisation and perceived coercion among psychiatric inpatients?

BACKGROUND

Coercion perceived by psychiatric inpatients is not exclusively determined by formal measures such as involuntary admissions, seclusion or restraint, but is also associated with patients' characteristics and professionals' attitude.

AIMS

This study examined how inpatients' involvement in the decision making process, the respect of their decision making preference, and their feeling of having been treated fairly mediate the relationship between involuntary hospitalisation and perceived coercion both at admission and during hospital stay.

METHODS

Mediation analysis were performed in order to study the relationship between involuntary hospitalisation and perceived coercion among 230 patients, voluntarily and involuntarily admitted in six psychiatric hospitals.

RESULTS

32.2% of the participants were involuntarily hospitalised. Taken individually, stronger participants' involvement in decision making process, better respect for their decision making preference and higher level of perceived fairness partially mediated the relationship between involuntary hospitalisation and perceived coercion by reducing the level of the latter both at admission and during the hospitalisation. In multiple mediator models, only involvement and respect played an important role at admission. During the hospitalisation, perceived fairness was the most relevant mediator, followed by involvement in decision making.

CONCLUSIONS

During psychiatric hospitalisation patients' involvement in decision making, respect of their decision making preference and perceived fairness determined the relationship between involuntary hospitalisation and perceived coercion, but not in the same way at admission and during the stay. Involving patients in decision making and treating them fairly may be more relevant than taking account of their decision making preference in order to reduce perceived coercion.

Shared decision-making interventions for people with mental health conditions

BACKGROUND

One person in every four will suffer from a diagnosable mental health condition during their life. Such conditions can have a devastating impact on the lives of the individual and their family, as well as society.  International healthcare policy makers have increasingly advocated and enshrined partnership models of mental health care. Shared decision-making (SDM) is one such partnership approach. Shared decision-making is a form of service user-provider communication where both parties are acknowledged to bring expertise to the process and work in partnership to make a decision.  This review assesses whether SDM interventions improve a range of outcomes. This is the first update of this Cochrane Review, first published in 2010.

OBJECTIVES

To assess the effects of SDM interventions for people of all ages with mental health conditions, directed at people with mental health conditions, carers, or healthcare professionals, on a range of outcomes including: clinical outcomes, participation/involvement in decision-making process (observations on the process of SDM; user-reported, SDM-specific outcomes of encounters), recovery, satisfaction, knowledge, treatment/medication continuation, health service outcomes, and adverse outcomes.

SEARCH METHODS

We ran searches in January 2020 in CENTRAL, MEDLINE, Embase, and PsycINFO (2009 to January 2020). We also searched trial registers and the bibliographies of relevant papers, and contacted authors of included studies.  We updated the searches in February 2022. When we identified studies as potentially relevant, we labelled these as studies awaiting classification.

SELECTION CRITERIA

Randomised controlled trials (RCTs), including cluster-randomised controlled trials, of SDM interventions in people with mental health conditions (by Diagnostic and Statistical Manual of Mental Disorders (DSM) or International Classification of Diseases (ICD) criteria).

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures expected by Cochrane. Two review authors independently screened citations for inclusion, extracted data, and assessed risk of bias. We used GRADE to assess the certainty of the evidence.

MAIN RESULTS

This updated review included 13 new studies, for a total of 15 RCTs. Most participants were adults with severe mental illnesses such as schizophrenia, depression, and bipolar disorder, in higher-income countries. None of the studies included children or adolescents.  Primary outcomes We are uncertain whether SDM interventions improve clinical outcomes, such as psychiatric symptoms, depression, anxiety, and readmission, compared with control due to very low-certainty evidence. For readmission, we conducted subgroup analysis between studies that used usual care and those that used cognitive training in the control group. There were no subgroup differences. Regarding participation (by the person with the mental health condition) or level of involvement in the decision-making process, we are uncertain if SDM interventions improve observations on the process of SDM compared with no intervention due to very low-certainty evidence. On the other hand, SDM interventions may improve SDM-specific user-reported outcomes from encounters immediately after intervention compared with no intervention (standardised mean difference (SMD) 0.63, 95% confidence interval (CI) 0.26 to 1.01; 3 studies, 534 participants; low-certainty evidence). However, there was insufficient evidence for sustained participation or involvement in the decision-making processes. Secondary outcomes We are uncertain whether SDM interventions improve recovery compared with no intervention due to very low-certainty evidence. We are uncertain if SDM interventions improve users' overall satisfaction. However, one study (241 participants) showed that SDM interventions probably improve some aspects of users' satisfaction with received information compared with no intervention: information given was rated as helpful (risk ratio (RR) 1.33, 95% CI 1.08 to 1.65); participants expressed a strong desire to receive information this way for other treatment decisions (RR 1.35, 95% CI 1.08 to 1.68); and strongly recommended the information be shared with others in this way (RR 1.32, 95% CI 1.11 to 1.58). The evidence was of moderate certainty for these outcomes. However, this same study reported there may be little or no effect on amount or clarity of information, while another small study reported there may be little or no change in carer satisfaction with the SDM intervention. The effects of healthcare professional satisfaction were mixed: SDM interventions may have little or no effect on healthcare professional satisfaction when measured continuously, but probably improve healthcare professional satisfaction when assessed categorically. We are uncertain whether SDM interventions improve knowledge, treatment continuation assessed through clinic visits, medication continuation, carer participation, and the relationship between users and healthcare professionals because of very low-certainty evidence. Regarding length of consultation, SDM interventions probably have little or no effect compared with no intervention (SDM 0.09, 95% CI -0.24 to 0.41; 2 studies, 282 participants; moderate-certainty evidence). On the other hand, we are uncertain whether SDM interventions improve length of hospital stay due to very low-certainty evidence. There were no adverse effects on health outcomes and no other adverse events reported.

AUTHORS' CONCLUSIONS

This review update suggests that people exposed to SDM interventions may perceive greater levels of involvement immediately after an encounter compared with those in control groups. Moreover, SDM interventions probably have little or no effect on the length of consultations.  Overall we found that most evidence was of low or very low certainty, meaning there is a generally low level of certainty about the effects of SDM interventions based on the studies assembled thus far. There is a need for further research in this area.

Impact of clinical decision-making participation and satisfaction on outcomes in mental health practice: results from the CEDAR European longitudinal study

The present study aimed to assess: (1) whether a more active involvement of patients is associated with an improvement of clinical symptoms, global functioning, and quality-of-life; and (2) how patients' satisfaction with clinical decisions can lead to better outcome after 1 year. Data were collected as part of the study 'Clinical decision-making and outcome in routine care for people with severe mental illness (CEDAR)', a longitudinal observational study, funded by the European Commission and carried out in six European countries. Patients' inclusion criteria were: (a) aged between 18 and 60 years; (b) diagnosis of a severe mental illness of any kind according to the Threshold Assessment Grid (TAG) ≥ 5 and duration of illness ≥ 2 years; (c) expected contact with the local mental health service during the 12-month observation period; (d) adequate skills in the language of the host countries; and (e) the ability to provide written informed consent. The clinical decision-making styles of clinicians and the patient satisfaction with decisions were assessed using the Clinical Decision Making Style and the Clinical Decision Making Involvement and Satisfaction scales, respectively. Patients were assessed at baseline and 1 year after the recruitment. The sample consisted of 588 patients with severe mental illness, mainly female, with a mean age of 41.69 (±10.74) and a mean duration of illness of 12.5 (±9.27) years. The majority of patients were diagnosed with psychotic (45.75%) or affective disorders (34.01%). At baseline, a shared CDM style was preferred by 70.6% of clinicians and about 40% of patients indicated a high level of satisfaction with the decision and 31% a medium level of satisfaction. Higher participation in clinical decisions was associated with improved social functioning and quality-of-life, and reduced interpersonal conflicts, sense of loneliness, feelings of inadequacy, and withdrawal in friendships after 1 year (p < 0.05). Moreover, a higher satisfaction with decisions was associated with a better quality-of-life (p < 0.0001), reduced symptom severity (p < 0.0001), and a significantly lower illness burden associated with symptoms of distress (p < 0.0001), interpersonal difficulties (p < 0.0001), and problems in social roles (p < 0.05). Our findings clearly show that a higher involvement in and satisfaction of patients with clinical decision-making was associated with better outcomes. More efforts have to be made to increase the involvement of patients in clinical decision-making in routine care settings.

Patient Participation and the Environment: A Scoping Review of Instruments

Patient participation and the environment are critical factors in achieving qualitative healthcare. We conducted a systematic scoping review using Arksey and O'Malley's framework to identify instruments intended to measure patient participation. We assessed those instruments' characteristics, which areas of the healthcare continuum they target, and whether environmental factors are considered. Instruments were considered eligible if they represented the patient perspective and measured patient participation in healthcare. The search was limited to articles written in English and published in the last 10 years. We extracted concepts (i.e., patient empowerment, patient participation, and patient-centeredness) based on the framework developed by Castro et al. and outcomes of significance regarding the review questions and specific objectives. The search was conducted in PsycINFO, CINHAL/EBSCO, and PubMed in September 2019 and July 2020. Of 4802 potential titles, 67 studies reported on a total of 45 instruments that met the inclusion criteria for this review. The concept of patient participation was represented most often in these studies. Although some considered the social environment, no instrument was found to incorporate and address the physical environment. Thirteen instruments were generic and the remaining instruments were intended for specific diagnoses or healthcare contexts. Our work is the first to study instruments from this perspective, and we conclude that there is a lack of instruments that measure aspects of the social and physical environment coherently as part of patient participation.

Proportionate translation of study materials and measures in a multinational global health trial: methodology development and implementation

OBJECTIVES

Current translation guidelines do not include sufficiently flexible translation approaches for different study materials. We aimed to develop a proportionate methodology to inform translation of all types of study materials in global health trials.

DESIGN

The design included three stages: (1) categorisation of study materials, (2) integration of existing translation frameworks and (3) methodology implementation (Germany, India, Israel, Tanzania and Uganda) and refinement.

PARTICIPANTS

The study population comprised 27 mental health service users and 27 mental health workers who were fluent in the local language in stage 7 (pretesting), and 54 bilingual mental health service users, aged 18 years or over, and able to give consent as judged by a clinician for step 9 (psychometric evaluation).

SETTING

The study took place in preparation for the Using Peer Support in Developing Empowering Mental Health Services (UPSIDES) randomised controlled trial (ISRCTN26008944).

PRIMARY OUTCOME MEASURE

The primary outcome measure was the Social Inclusion Scale (SIS).

RESULTS

The typology identifies four categories of study materials: local text, study-generated text, secondary measures and primary measure. The UPSIDES Proportionate Translation Methodology comprises ten steps: preparation, forward translation, reconciliation, back translation, review, harmonisation, pretesting, finalisation, psychometric evaluation and dissemination. The translated primary outcome measure for the UPSIDES Trial (SIS) demonstrated adequate content validity (49.3 vs 48.5, p=0.08), convergent validity and internal consistency (0.73), with minimal floor/ceiling effects.

CONCLUSION

This methodology can be recommended for translating, cross-culturally adapting and validating all study materials, including standardised measures, in future multisite global trials. The methodology is particularly applicable to multi-national studies involving sites with differing resource levels. The robustness of the psychometric findings is limited by the sample sizes for each site. However, making this limitation explicit is preferable to the typical practice of not reporting adequate details about measure translation and validation.

TRAIL REGISTRATION NUMBER

ISRCTN26008944.

Clinical decision-making style preferences of European psychiatrists: Results from the Ambassadors survey in 38 countries

Background

While shared clinical decision-making (SDM) is the preferred approach to decision-making in mental health care, its implementation in everyday clinical practice is still insufficient. The European Psychiatric Association undertook a study aiming to gather data on the clinical decision-making style preferences of psychiatrists working in Europe.

Methods

We conducted a cross-sectional online survey involving a sample of 751 psychiatrists and psychiatry specialist trainees from 38 European countries in 2021, using the Clinical Decision-Making Style – Staff questionnaire and a set of questions regarding clinicians’ expertise, training, and practice.

Results

SDM was the preferred decision-making style across all European regions ([central and eastern Europe, CEE], northern and western Europe [NWE], and southern Europe [SE]), with an average of 73% of clinical decisions being rated as SDM. However, we found significant differences in non-SDM decision-making styles: participants working in NWE countries more often prefer shared and active decision-making styles rather than passive styles when compared to other European regions, especially to the CEE. Additionally, psychiatry specialist trainees (compared to psychiatrists), those working mainly with outpatients (compared to those working mainly with inpatients) and those working in community mental health services/public services (compared to mixed and private settings) have a significantly lower preference for passive decision-making style.

Conclusions

The preferences for SDM styles among European psychiatrists are generally similar. However, the identified differences in the preferences for non-SDM styles across the regions call for more dialogue and educational efforts to harmonize practice across Europe.

Development and evaluation of a consumer information resource, including Patient Decision Aid, for lung cancer screening: a quasi-experimental study

Lung cancer screening of high-risk individuals with computed tomography is a promising intervention to reduce lung cancer mortality. Patient Decision Aids (PtDAs) may assist eligible individuals assess the risks and benefits associated with screening. Screening preference is high among lower-risk, screening-ineligible individuals and strategies are needed to reduce screening demand among this group. We developed and evaluated a resource comprising a recruitment pamphlet combined with either a PtDA for screening-eligible individuals or an education pamphlet for screening-ineligible individuals. Quasi-experimental pre-post pamphlet exposure design. Ever-smokers aged 55-80 years attending hospital outpatient clinics were invited. Among screening-eligible participants, the assessed outcome was change in score on the Decisional Conflict Scale (DCS). Among screening-ineligible participants, the assessed outcomes were change in screening preference. In the study 51% (55/107) of invited individuals participated, with mean ± standard deviation age 66.9 ± 6.4 years, 53% (29/55) male, and 65% (36/55) eligible for screening. Median (interquartile range) DCS among screening-eligible participants reduced from 28.9 (22.7-45.3) pre-PtDA to 25 (1.6-29.7) post-PtDA (p < .001), but there was no significant change in the proportion that reached the accepted threshold for decisional certainty (DCS < 25, 10/36 [28%] pre-exposure vs. 14/36 [39%] post-exposure, p = .1). Screening preference among screening-ineligible individuals reduced after viewing the screening-ineligible brochure (pre-exposure median of "Prefer" to post-exposure median of "Unsure," p = .001). Our consumer information pamphlets about lung cancer screening may reduce decisional conflict and improve alignment of screening preference with eligibility.

Multiperspective and Multimethod Evaluation of Flexible and Integrative Psychiatric Care Models in Germany: Study Protocol of a Prospective, Controlled Multicenter Observational Study (PsychCare)

Background: New cross-sectoral mental health care models have been initiated in Germany to overcome the fragmentation of the German health care system. Starting in 2013, flexible and integrative psychiatric care model projects according to §64b SGB V German Social Law (FIT64b) have been implemented. The study "PsychCare" combines quantitative and qualitative primary data with routine health insurance data for the evaluation of these models. Effects, costs and cost-effectiveness from the perspectives of patients, relatives and care providers are compared with standard care. Additionally, quality indicators for a modern, flexible and integrated care are developed. This article describes the rationale, design and methods of the project. Methods: "PsychCare" is built on a multiperspective and multimethod design. A controlled prospective multicenter cohort study is conducted with three data collection points (baseline assessment, follow-up after 9 and 15 months). A total of 18 hospitals (10 FIT64b model and 8 matched control hospitals) have consecutively recruited in- and outpatients with pre-specified common and/or severe psychiatric disorders. Primary endpoints are differences in change of health-related quality of life and treatment satisfaction. Sociodemographic and service receipt data of the primary data collection are linked with routine health insurance data. A cost-effectiveness analysis, a mixed method, participatory process evaluation by means of qualitative surveys and the development of quality indicators are further elements of "PsychCare." Discussion and Practical Implications: The results based on data from different methodological approaches will provide essential conclusions for the improvement of hospital based mental health care in Germany. This should result in the identification of key FIT64b elements that can be efficiently implemented into standard care in Germany and re-structure the care strongly aligned to patient needs. Clinical Trial Registration: German Clinical Trial Register, identifier DRKS 00022535.

Measuring the Patient Experience of Mental Health Care: A Systematic and Critical Review of Patient-Reported Experience Measures

BACKGROUND

There is growing concern about measuring patient experience with mental health care. There are currently numerous patient-reported experience measures (PREMs) available for mental health care, but there is little guidance for selecting the most suitable instruments. The objective of this systematic review was to provide an overview of the psychometric properties and the content of available PREMs.

METHODS

A comprehensive review following the preferred reporting items for systematic reviews and meta-analysis (PRISMA) guidelines was conducted using the MEDLINE database with no date restrictions. The content of PREMs was analyzed using an inductive qualitative approach, and the methodological quality was assessed according to Pesudovs quality criteria.

RESULTS

A total of 86 articles examining 75 PREMs and totaling 1932 items were included. Only four PREMs used statistical methods from item response theory (IRT). The 1932 items covered seven key mental health care domains: interpersonal relationships (22.6%), followed by respect and dignity (19.3%), access and care coordination (14.9%), drug therapy (14.1%), information (9.6%), psychological care (6.8%) and care environment (6.1%). Additionally, a few items focused on patient satisfaction (6.7%) rather than patient experience. No instrument covered the latent trait continuum of patient experience, as defined by the inductive qualitative approach, and the psychometric properties of the instruments were heterogeneous.

CONCLUSION

This work is a critical step in the creation of an item library to measure mental health care patient-reported experience that will be used in France to develop, validate, and standardize item banks and computerized adaptive testing (CAT) based on IRT. It will also provide internationally replicable measures that will allow direct comparisons of mental health care systems.

TRIAL REGISTRATION

NCT02491866.

Translation and psychometric testing of a decision-making scale

WHAT IS KNOWN ABOUT SHARED DECISION-MAKING?: There is increasing investigation of shared decision-making in mental health services. Exploration of shared decision-making and relevant instrument is scant in China. WHAT THIS PAPER ADDS TO EXISTING KNOWLEDGE?: In this study, the Clinical Decision-making Involvement and Satisfaction (CDIS) was translated into Chinese and validated with patients and mental health professionals. The Chinese version of the CDIS is a reliable and valid instrument for measuring perception of involvement and satisfaction with treatment decision for schizophrenia WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Mental health nurses could use the CDIS patient-rated and health professional-rated versions to compare their perceptions of the decision-making process. ABSTRACT: Introduction There is growing interest in shared decision-making in Chinese mental health services. However, few specific instruments are available to measure decision-making satisfaction and involvement. Aim To translate and validate Clinical Decision-making Involvement and Satisfaction (CDIS) in a Chinese population. Methods The translation process was completed based on the Brislin translation method. Convenience sampling of 505 participants including 212 people diagnosed with schizophrenia and 293 mental health professionals for psychometric testing (e.g., content and construct validity, and test-retest reliability). Results The CDIS Chinese version has good internal consistency and temporal stability. Factor analysis determined two factors including satisfaction and involvement subscales, explaining 60.08% of the total variance. The Cronbach's α was 0.70, and the intraclass correlation coefficient ranged from 0.83 to 0.89. The composite reliability value was 0.85, and the average variance extracted was 0.50. Critical Ratio values ranged from 5.28 to 17.95, and item-total correlation values ranged from 0.48 to 0.75. Discussion The CDIS Chinese version is a feasible and reliable instrument.

Perceived Patient Satisfaction and Associated Factors among Psychiatric Patients Who Attend Their Treatment at Outpatient Psychiatry Clinic, Jimma University Medical Center, Southwest Ethiopia, Jimma, 2019

Background

In health care, patient satisfaction is an attitudinal response and a pillar for quality assurance, but there is reluctance to measure it among mentally ill patients. Satisfied patients become more compliant. However, no study was done in this study area before. Therefore, this study was conducted to determine the magnitude of perceived patient satisfaction and associated factor at Jimma University Medical Center, outpatient psychiatry clinic.

Methods

Cross-sectional study design was conducted, and systematic random sampling technique was used to get study participants. The 24-item Mental Health Service Satisfaction Scale (a validated tool in Ethiopia) was used to assess patient satisfaction. Data was entered using Epi-data 3.1 and exported to the Statistical Package for the Social Sciences 22.0 for analysis. Linear regression analysis (P < 0.05) was used to identify the association between the outcome and independent variable.

Result

414 respondents participated in the study with response rate of 98%. The overall percentage of patient satisfaction was 50.3% (95% CI 48.4%-51.2%). Being male (β = -0.651, 95% CI (-0.969, -0.332)), having secondary and above educational status (β = -0.651, 95% CI (-0.969, -0.332)), having secondary and above educational status (β = -0.651, 95% CI (-0.969, -0.332)), having secondary and above educational status (β = -0.651, 95% CI (-0.969, -0.332)), having secondary and above educational status (β = -0.651, 95% CI (-0.969, -0.332)), having secondary and above educational status (β = -0.651, 95% CI (-0.969, -0.332)), having secondary and above educational status (β = -0.651, 95% CI (-0.969, -0.332)), having secondary and above educational status (β = -0.651, 95% CI (-0.969, -0.332)), having secondary and above educational status (β = -0.651, 95% CI (-0.969, -0.332)), having secondary and above educational status (Conclusion and Recommendation. This study found that half of the study participants are satisfied with the service. Distance from the hospital, current substance use, waiting time, and having good social support were identified as modifiable factors that can be improved through working with stakeholders to increase patient satisfaction.

Best practice framework for Patient and Public Involvement (PPI) in collaborative data analysis of qualitative mental health research: methodology development and refinement

BACKGROUND

Patient and Public Involvement (PPI) in mental health research is increasing, especially in early (pre-funding) stages. PPI is less consistent in later stages, including in analysing qualitative data. The aims of this study were to develop a methodology for involving PPI co-researchers in collaboratively analysing qualitative mental health research data with academic researchers, to pilot and refine this methodology, and to create a best practice framework for collaborative data analysis (CDA) of qualitative mental health research.

METHODS

In the context of the RECOLLECT Study of Recovery Colleges, a critical literature review of collaborative data analysis studies was conducted, to identify approaches and recommendations for successful CDA. A CDA methodology was developed and then piloted in RECOLLECT, followed by refinement and development of a best practice framework.

RESULTS

From 10 included publications, four CDA approaches were identified: (1) consultation, (2) development, (3) application and (4) development and application of coding framework. Four characteristics of successful CDA were found: CDA process is co-produced; CDA process is realistic regarding time and resources; demands of the CDA process are manageable for PPI co-researchers; and group expectations and dynamics are effectively managed. A four-meeting CDA process was piloted to co-produce a coding framework based on qualitative data collected in RECOLLECT and to create a mental health service user-defined change model relevant to Recovery Colleges. Formal and informal feedback demonstrated active involvement. The CDA process involved an extra 80 person-days of time (40 from PPI co-researchers, 40 from academic researchers). The process was refined into a best practice framework comprising Preparation, CDA and Application phases.

CONCLUSIONS

This study has developed a typology of approaches to collaborative analysis of qualitative data in mental health research, identified from available evidence the characteristics of successful involvement, and developed, piloted and refined the first best practice framework for collaborative analysis of qualitative data. This framework has the potential to support meaningful PPI in data analysis in the context of qualitative mental health research studies, a previously neglected yet central part of the research cycle.

Efficacy of shared decision-making on treatment adherence of patients with bipolar disorder: a cluster randomized trial (ShareD-BD)

BACKGROUND

Shared decision-making (SDM) is a model of interaction between doctors and patients in which both actors contribute to the medical decision-making process. SDM has raised great interest in mental healthcare over the last decade, as it is considered a fundamental part of patient-centered care. However, there is no research evaluating the efficacy of SDM compared to usual care (CAU), as it relates to quality of care and more specifically treatment adherence, in bipolar disorder (BD).

METHODS/DESIGN

This is a 12-month multi-centre, cluster-randomized controlled trial comparing the efficacy of SDM to CAU. Adult BD patients (n = 300) will be eligible after stabilization for at least 4 weeks following an acute mood episode. The intervention will consist of applying the standardized SDM process as developed by the Ottawa Hospital Research Institute in order to choose the maintenance treatment of BD. A multidisciplinary team developed a decision aid "choose my long-term treatment with my doctor" for BD patients to clarify possible therapeutic options. Primary outcome will assess the patient's level of adherence (based on hetero-evaluation) of ongoing treatment at 12 months. Secondary outcomes will assess the difference between the 2 groups of patients in terms of adherence to maintenance drug therapy based on other measures (self-assessment scale and plasma levels of mood stabilizers). Additionally, other dimensions will be assessed: decisional conflict, satisfaction with care and involvement in decision making, beliefs about treatment, therapeutic relationship, knowledge about information for medical decision and clinical outcomes (depression, mania, functioning and quality of life). The primary endpoint will be analysed without adjustment by comparison of adherence scores between the two groups using Student t-tests or Mann-Whitney tests according to the variable distribution. A set of secondary analyses will be adjusted for covariates of clinical interest using generalized linear mixed regression models.

DISCUSSION

This will be the first study evaluating the effect of an SDM intervention on patient adherence in BD. This is also an innovative protocol because it proposes the development of an evidence-based tool that should help patients and clinicians to initiate discussions regarding the use of BD treatment.

TRIAL REGISTRATION

The study has been registered with ClinicalTrials.gov as NCT03245593 .

Patients' perceptions of healthcare professionalism-a Romanian experience

Background

The main objective of this cross sectional study was to assess the psychometric properties of a new research instrument. The secondary aim was to analyze patients’ levels of dissatisfaction with the professionalism of medical staff.

Methods

A social survey questionnaire was created and administered online. The instrument consisted of two scales: the 30-item patient dissatisfaction scale and the 10 items institutional scale. In this article, we assessed only the patient dissatisfaction scale. The research population includes 1838 subjects. The statistical procedures used were descriptive statistics, Pearson’s correlation, and factorial analyses with the SPSS.19 software. The internal consistency of the instrument was determined using the Cronbach’s alpha coefficient. We used a principal component analysis to investigate the factorial validity of the scale.

Results

The patients’ scale of dissatisfaction obtained an alpha Cronbach score of 0.81. Three latent factors corresponding to three dimensions of dissatisfaction emerged from the data: medical staff’s ability to communicate, medical staff’s hygiene, as well as sanitary and privacy conditions within the hospital. The first factor explained 43.47% of the variance in patient dissatisfaction, the second factor explained 10.24%, and the third factor explained 7.59%; overall, the three factors explained 61.30% of the total variance.

Conclusion

The Romanian healthcare system has an organization and management structure which has shown few changes since the communist period. Our study indicates that although more than 25 years have passed since the political regime changed in Romania and the introduction of a different system of social care, there have been no corresponding changes in the medical staff’s mentality or in the way that patients are approached. The present assessment of patient dissatisfaction is not a strictly theoretical exercise; it also represents a valuable instrument for healthcare system management.

Electronic supplementary material

The online version of this article (doi:10.1186/s12913-017-2412-z) contains supplementary material, which is available to authorized users.

Recovery and decision-making involvement in people with severe mental illness from six countries: a prospective observational study

BACKGROUND

Clinical decision-making is the vehicle of health care provision, and level of involvement predicts implementation and satisfaction. The aim of this study was to investigate the impact of decision-making experience on recovery.

METHODS

Data derived from an observational cohort study "Clinical decision making and outcome in routine care for people with severe mental illness" (CEDAR). Adults (aged 18-60) meeting standardised criteria for severe mental illness were recruited from caseloads of outpatient and community mental health services in six European countries. After consenting, they were assessed using standardised measures of decision-making, clinical outcome and stage of recovery at baseline and 1 year later. Latent class analysis was used to identify course of recovery, and proportional odds models to investigate predictors of recovery stage and change.

RESULTS

Participants (n = 581) clustered into three stages of recovery at baseline: Moratorium (N = 115; 19.8%), Awareness/Preparation (N = 145; 25.0%) and Rebuilding/Growth (N = 321; 55.2%). Higher stage was cross-sectionally associated with being male, married, living alone or with parents, and having better patient-rated therapeutic alliance and fewer symptoms. The model accounted for 40% of the variance in stage of recovery. An increased chance of worse outcome (change over 1 year to lower stage of recovery) was found for patients with active involvement compared with either shared (OR = 1.84, 95% CI 1.15-2.94) or passive (OR = 1.71, 95% CI = 1.00-2.95) involvement. Overall, both process (therapeutic relationship) and outcome (symptomatology) are cross-sectionally associated with stage of recovery.

CONCLUSIONS

Patient-rated decision-making involvement and change in stage of recovery are associated. Joint consideration of decision practise within the recovery process between patient and clinician is supposed to be a useful strategy to improve clinical practice (ISRCTN registry: ISRCTN75841675. Retrospectively registered 15 September 2010).

Clinical decision making and outcome in the routine care of people with severe mental illness across Europe (CEDAR)

AIMS

Shared decision making has been advocated as a means to improve patient-orientation and quality of health care. There is a lack of knowledge on clinical decision making and its relation to outcome in the routine treatment of people with severe mental illness. This study examined preferred and experienced clinical decision making from the perspectives of patients and staff, and how these affect treatment outcome.

METHODS

"Clinical Decision Making and Outcome in Routine Care for People with Severe Mental Illness" (CEDAR; ISRCTN75841675) is a naturalistic prospective observational study with bimonthly assessments during a 12-month observation period. Between November 2009 and December 2010, adults with severe mental illness were consecutively recruited from caseloads of community mental health services at the six study sites (Ulm, Germany; London, UK; Naples, Italy; Debrecen, Hungary; Aalborg, Denmark; and Zurich, Switzerland). Clinical decision making was assessed using two instruments which both have parallel patient and staff versions: (a) The Clinical Decision Making Style Scale (CDMS) measured preferences for decision making at baseline; and (b) the Clinical Decision Making Involvement and Satisfaction Scale (CDIS) measured involvement and satisfaction with a specific decision at all time points. Primary outcome was patient-rated unmet needs measured with the Camberwell Assessment of Need Short Appraisal Schedule (CANSAS). Mixed-effects multinomial regression was used to examine differences and course over time in involvement in and satisfaction with actual decision making. The effect of clinical decision making on the primary outcome was examined using hierarchical linear modelling controlling for covariates (study centre, patient age, duration of illness, and diagnosis). Analysis were also controlled for nesting of patients within staff.

RESULTS

Of 708 individuals approached, 588 adults with severe mental illness (52% female, mean age = 41.7) gave informed consent. Paired staff participants (N = 213) were 61.8% female and 46.0 years old on average. Shared decision making was preferred by patients (χ 2 = 135.08; p < 0.001) and staff (χ 2 = 368.17; p < 0.001). Decision making style of staff significantly affected unmet needs over time, with unmet needs decreasing more in patients whose clinicians preferred active to passive (-0.406 unmet needs per two months, p = 0.007) or shared (-0.303 unmet needs per two months, p = 0.015) decision making.

CONCLUSIONS

Decision making style of staff is a prime candidate for the development of targeted intervention. If proven effective in future trials, this would pave the ground for a shift from shared to active involvement of patients including changes to professional socialization through training in principles of active decision making.

Content and implementation of clinical decisions in the routine care of people with severe mental illness

BACKGROUND

Clinical decision making (CDM) in the treatment of people with severe mental illness relates to a wide range of life domains.

AIMS

To examine content of CDM in mental health care from the perspectives of service users and staff and to investigate variation in implementation of decisions for differing content.

METHOD

As part of the European multicenter study clinical decision making and outcome in routine care for people with severe mental illness (ISRCTN75841675), 588 service users and their clinicians were asked to identify the decisions made during their last meeting. Decisions were then coded into content categories. Two months later, both parties reported if these decisions had been implemented.

RESULTS

Agreement between patients and staff regarding decision making was moderate (k = 0.21–0.49; p < 0.001). Decisions relating to medication and social issues were most frequently identified. Overall reported level of implementation was 73.5% for patients and 74.7% for staff, and implementation varied by decision content.

CONCLUSIONS

A variety of relevant decision topics were shown for mental health care.Implementation rates varied in relation to topic and may need different consideration within the therapeutic dyad.

Empowerment and satisfaction in a multinational study of routine clinical practice

OBJECTIVE

Decision-making between mental health clinicians and patients is under-researched. We tested whether mental health patients are more satisfied with a decision made (i) using their preferred decision-making style and (ii) with a clinician with the same decision-making style preference.

METHOD

As part of the CEDAR Study (ISRCTN75841675), a convenience sample of 445 patients with severe mental illness from six European countries were assessed for desired clinical decision-making style (rated by patients and paired clinicians), decision-specific experienced style and satisfaction.

RESULTS

Patients who experienced more involvement in decision-making than they desired rated higher satisfaction (OR=2.47, P=0.005, 95% CI 1.32-4.63). Decisions made with clinicians whose decision-making style preference was for more active involvement than the patient preference were rated with higher satisfaction (OR=3.17, P=0.003, 95% CI 1.48-6.82).

CONCLUSION

More active involvement in decision-making than the patient stated as desired was associated with higher satisfaction. A clinical orientation towards empowering, rather than shared, decision-making may maximise satisfaction.

Development and psychometric properties of a five-language multiperspective instrument to assess clinical decision making style in the treatment of people with severe mental illness (CDMS)

BACKGROUND

The aim of this study was to develop and evaluate psychometric properties of the Clinical Decision Making Style (CDMS) scale which measures general preferences for decision making as well as preferences regarding the provision of information to the patient from the perspectives of people with severe mental illness and staff.

METHODS

A participatory approach was chosen for instrument development which followed 10 sequential steps proposed in a current guideline of good practice for the translation and cultural adaptation of measures. Following item analysis, reliability, validity, and long-term stability of the CDMS were examined using Spearman correlations in a sample of 588 people with severe mental illness and 213 mental health professionals in 6 European countries (Germany, UK, Italy, Denmark, Hungary, and Switzerland).

RESULTS

In both patient and staff versions, the two CDMS subscales "Participation in Decision Making" and "Information" reliably measure distinct characteristics of decision making. Validity could be demonstrated to some extent, but needs further investigation.

CONCLUSIONS

Together with two other five-language patient- and staff-rated measures developed in the CEDAR study (ISRCTN75841675) - "Clinical Decision Making in Routine Care" and "Clinical Decision Making Involvement and Satisfaction" - the CDMS allows empirical investigation of the complex relation between clinical decision making and outcome in the treatment of people with severe mental illness across Europe.