Helping alliance and unmet needs in routine care of people with severe mental illness across Europe: a prospective longitudinal multicenter study

The helping alliance (HA) refers to the collaborative bond between patient and therapist including shared goals and tasks. People with severe mental illness have a complex mixture of clinical and social needs. Using mixed-effects regression, this study examined in 588 people with severe mental illness whether an increase in the HA is associated with fewer unmet needs over time, and whether change in the HA precedes change in unmet needs. It was found that a reduction of unmet needs was slower in patients with higher HA (B=0.04, p<.0001) only for patient-rated measures. Improvement in both patient-rated and staff-rated HA over time was associated with fewer subsequent patient- (B=-0.10, p<0.0001) and staff-rated (B=-0.08, p=0.0175) unmet needs. With positive changes in the HA preceding fewer unmet needs, findings provide further evidence for a causal relationship between alliance and outcome in the treatment of people with severe mental illness

Gemeinsame Entscheidungsfindung in der Behandlung von Patienten mit schweren psychischen Erkrankungen:Eine Fokusgruppenuntersuchung

Objective: Shared decision-making during the course of treatment is important for people with severe mental illness. However, there is still insufficient knowledge about how people with mental illness view decisions, what kind of decisions are made and how patients experience and perceive the process of participation in routine care. Methods: A qualitative study with focus groups was conducted with patients with chronic mental illness currently receiving outpatient care (N=23). Interviews were audio-taped, transcribed, coded and content analysed. Results: Three main themes were extracted from the data: 1. perception of the clinician and participation, 2. process of communication and flow of information, 3. decisions and transfer. Conclusions: The perception of participation in the decision process depends on a good patient-doctor relationship. Decisions made in the course of an outpatient long-term treatment are complex and are often not made during one single appointment. Frequently, patients seek the advice of people from their social network and/or other health professionals.</p

Clinical decision making and mental health service use in people with severe mental illness across Europe

Objective: This study aims to explore relationships between preferred and experienced clinical decision making with service use, and associated costs, by people with severe mental illness. Methods: Prospective observational study of mental healthcare in six European countries: Germany, UK, Italy Hungary, Denmark and Switzerland. Patients (N = 588) and treating clinicians (N = 213) reported preferred and experienced decision making at baseline using the Clinical Decision Making Style Scale (CDMS) and the Clinical Decision Involvement and Satisfaction Scale (CDIS). Retrospective service use was assessed with the Client Socio-Demographic and Service Receipt Inventory (CSSRI-EU) at baseline and 12-month follow-up. Negative binomial regression analyses examined the effects of CDMS and CDIS on service use and inpatient costs at baseline and multilevel models examined these relationships over time. Results: At baseline, staff and patient preferences for active decision making and low patient satisfaction with experienced decisions were associated with longer hospital admissions and higher costs. Patient preferences for active decision making predicted increases in hospital admissions (b = .236, p =.043) over 12 months and cost increases were predicted by low patient satisfaction (b = 4803, p =.005). Decision making was unrelated to medication, outpatient, or community service use. Conclusions: Decision making is related to inpatient service use and associated costs by people with severe mental illness. A preference for shared decision making may reduce healthcare costs via a reduction in inpatient admissions. Patient satisfaction with decisions is a crucial predictor of healthcare costs; therefore, clinicians should maximize patient satisfaction with decision making

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

BACKGROUND: The aim of this study was to develop and evaluate a brief quantitative five-language measure of involvement and satisfaction in clinical decision-making (CDIS) - with versions for patients (CDIS-P) and staff (CDIS-S) - for use in mental health services. METHODS: An English CDIS was developed by reviewing existing measures, focus groups, semistructured interviews and piloting. Translations into Danish, German, Hungarian and Italian followed the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) Task Force principles of good practice for translation and cultural adaptation. Psychometricevaluation involved testing the measure in secondary mental health services in Aalborg, Debrecen, London, Naples, Ulm and Zurich. RESULTS: After appraising 14 measures, the Control Preference Scale and Satisfaction With Decision-making English-language scales were modified and evaluated in interviews (n = 9), focus groups (n = 22) and piloting (n = 16). Translations were validated through focus groups (n = 38) and piloting (n = 61). A total of 443 service users and 403 paired staff completed CDIS. The Satisfaction sub-scale had internal consistency of 0.89 (0.86-0.89 after item-level deletion) for staff and 0.90 (0.87-0.90) for service users, both continuous and categorical (utility) versions were associated with symptomatology and both staff-rated and service userrated therapeutic alliance (showing convergent validity), and not with social disability (showing divergent validity), and satisfaction predicted staff-rated (OR 2.43, 95%CI 1.54- 3.83 continuous, OR 5.77, 95%CI 1.90-17.53 utility) and service user-rated (OR 2.21, 95%CI 1.51-3.23 continuous, OR 3.13, 95%CI 1.10-8.94 utility) decision implementation two months later. The Involvement sub-scale had appropriate distribution and no floor or ceiling effects, was associated with stage of recovery, functioning and quality of life (staff only) (showing convergent validity), and not with symptomatology or social disability (showing divergent validity), and staff-rated passive involvement by the service user predicted implementation (OR 3.55, 95%CI 1.53-8.24). Relationships remained after adjusting for clustering by staff. CONCLUSIONS: CDIS demonstrates adequate internal consistency, no evidence of item redundancy, appropriate distribution, and face, content, convergent, divergent and predictive validity. It can be recommended for research and clinical use. CDIS-P and CDIS-S in all 3 five languages can be downloaded at http://www.cedar-net.eu/instruments. TRIAL REGISTRATION: ISRCTN75841675.CEDAR study is funded by a grant from the Seventh Framework Programme (Research Area HEALTH-2007-3.1-4 Improving clinical decision making) of the European Union (Grant no. 223290)

An outreach collaborative model for early identification and treatment of mental disorder in Danish workplaces

Abstract Background Depression and anxiety are prevalent mental disorders among the working population with potentially high personal and financial cost. The overall aim of this study was to test the applicability of an outreach collaborative model for early identification and treatment of clinical and sub-clinical mental disorders among Danish employees. This applicability was examined by I) investigating the fractions of identified and treated clinical and subclinical cases, II) describing the distribution and characteristics of cases identified and III) investigating the effect of allocated treatment. Methods A longitudinal study design with four assessments (T0-T3) over 16 months was applied. Self-reporting questionnaires probing for psychopathology were distributed to all employees in six consecutively enrolled companies at the four time points. Employees meeting the screening criteria at T1 were assessed diagnostically. Subjects diagnosed with a clinical mental disorder were allocated to outpatient psychiatric treatment, and subjects with subclinical conditions were allocated to preventive cognitive behavioural therapy. Follow-up was conducted 6 and 12 months after initiation of treatment. We used chi-squared test and F-test to compare the different groups on baseline characteristics and mixed effects linear regression to analyse the treatment effects. Results Forty (6.8%) of the 586 responders at T1 were diagnosed with a clinical mental disorder and referred to outpatient psychiatric treatment. Thirty-three (5.6%) were affected by a subclinical condition and referred to preventive treatment. Nearly two-thirds (63%) of the employees diagnosed with a clinical condition had never received treatment before. Symptom severity decreased significantly for both treated groups until follow-up. When compared to a composed control group, subclinical cases displayed a more rapid initial significant symptomatic decrease on the global symptom scale (coefs = − 0.914, 95% CI [− 1.754, − 0,075]) and anxiety sub-scale (coefs = − 1.043, 95% CI [− 2.021, − 0.066]). This did not apply to the clinical cases as no significant difference in change were identified. Conclusions The outreach collaborative model demonstrated an applicability to identify both clinical and subclinical cases, among these a high number of employees with an unmet need for treatment. We found evidence of a positive initial effect on symptomatology from the allocated preventive treatment among the subclinical cases, but not for clinical cases. Trial registration Retrospectively registered at December 18, 2018 at clinicaltrials.gov, identifier: NCT03786328

Erratum to: Courses of helping alliance in the treatment of people with severe mental illness in Europe: a latent class analytic approach

Purpose: The helping alliance (HA) between patient and therapist has been studied in detail in psychotherapy research, but less is known about the HA in long-term community mental health care. The aim of this study was to identify typical courses of the HA and their predictors in a sample of people with severe mental illness across Europe over a measurement period of one year. Methods: Self-ratings of the HA by 588 people with severe mental illness who participated in a multicentre European study (CEDAR; ISRCTN75841675) were examined using latent class analysis. Results: Four main patterns of alliance were identified: (1) high and stable (HS, 45.6&nbsp;%), (2) high and increasing (HI, 36.9&nbsp;%), (3) high and decreasing (HD, 11.3&nbsp;%) and (4) low and increasing (LI, 6.1&nbsp;%). Predictors of class membership were duration of illness, ethnicity, and education, receipt of state benefits, recovery, and quality of life. Conclusions: Results support findings from psychotherapy research about a predominantly stable course of the helping alliance in patients with severe mental illness over time. Implications for research and practice indicate to turn the attention to subgroups with noticeable courses

Clinical Decision Making and Mental Health Service Use Among Persons With Severe Mental Illness Across Europe

Objective: The study explored relationships between preferences for and experiences of clinical decision making (CDM) with service use among persons with severe mental illness. Methods: Data from a prospective observational study in six European countries were examined. Associations of baseline staff-rated (N=213) and patient-rated (N=588) preferred and experienced decision making with service use were examined at baseline by using binomial regressions and at 12-month follow-up by using multilevel models. Results: A preference by patients and staff for active patient involvement in decision making, rather than shared or passive decision making, was associated with longer hospital admissions and higher costs at baseline and with increases in admissions over 12 months (p=.043). Low patient-rated satisfaction with an experienced clinical decision was also related to increased costs over the study period (p=.005). Conclusions: A preference for shared decision making may reduce health care costs by reducing inpatient admissions. Patient satisfaction with decisions was a predictor of costs, and clinicians should maximize patient satisfaction with CDM

Desire for information of people with severe mental illness

Purpose: To assess (1) the desire of people with severe mental illness for information on their treatment and (2) whether the desire for information is associated with socio-demographic variables, diagnosis, illness duration, therapeutic relationship, needs and symptom severity. Methods: 588 outpatients with severe mental illness were recruited in six European countries (Germany, Denmark, Hungary, Italy, Switzerland, United Kingdom) during the "Clinical decision making and outcome in routine care of people with severe mental illness (CEDAR)" study (ISRCTN75841675). Desire for information was assessed by the Information subscale of the Clinical Decision Making Style Scale. Study participants with high desire for information were compared with those with moderate or low desire for information. Results: 80 % of study participants (n = 462) wanted to receive information on all aspects of their treatment (management, prognosis, alternative options for care). Participants with a high desire for information had less severe symptoms (OR = 0.988, CI = 0.977-1.000) and a better self-rated therapeutic alliance (OR = 1.304, CI = 1.130-1.508) with their clinician. Conclusions: Most, but not all, people with severe mental illness have a high desire for information. Desire for information is associated with variables, such as therapeutic relationship and symptom severity, which are amenable to change during treatment