Feasibility of training nurses in motivational interviewing to improve patient experience in mental health rehabilitation: A pilot study

Introduction: There is limited research addressing he experiences of patients in inpatient rehabilitation (rehabilitation), who often spend long periods in hospital, and the nursing approaches utilised. Aim: Based on evidence that Motivational Interviewing (MI) may improve nursing practice, this was a pilot study evaluating the feasibility of training rehabilitation nurses in MI and measuring patient experience. Method: Nurses underwent training and supervision focusing on MI spirit. Quantitative and qualitative measures were taken pre-training, two months post-training and eight months post training. Expert-by-experience research assistants facilitated patients’ participation in the study. Results: This study showed that training rehabilitation nurses in MI was feasible and relevant to their work. Patients participated in interviews and focus groups with support and potential improvements that require further empirical investigation in patient experience were found following the MI training. Discussion: This pilot study establishes the feasibility of a larger study addressing efficacy. Tentative qualitative findings question whether interactions between nurses and patients are valued in rehabilitation and support MI as a promising skill-set for rehabilitation nurses

Can mental health diagnoses in administrative data be used for research? A systematic review of the accuracy of routinely collected diagnoses

BACKGROUND: There is increasing availability of data derived from diagnoses made routinely in mental health care, and interest in using these for research. Such data will be subject to both diagnostic (clinical) error and administrative error, and so it is necessary to evaluate its accuracy against a reference-standard. Our aim was to review studies where this had been done to guide the use of other available data. METHODS: We searched PubMed and EMBASE for studies comparing routinely collected mental health diagnosis data to a reference standard. We produced diagnostic category-specific positive predictive values (PPV) and Cohen’s kappa for each study. RESULTS: We found 39 eligible studies. Studies were heterogeneous in design, with a wide range of outcomes. Administrative error was small compared to diagnostic error. PPV was related to base rate of the respective condition, with overall median of 76 %. Kappa results on average showed a moderate agreement between source data and reference standard for most diagnostic categories (median kappa = 0.45–0.55); anxiety disorders and schizoaffective disorder showed poorer agreement. There was no significant benefit in accuracy for diagnoses made in inpatients. CONCLUSIONS: The current evidence partly answered our questions. There was wide variation in the quality of source data, with a risk of publication bias. For some diagnoses, especially psychotic categories, administrative data were generally predictive of true diagnosis. For others, such as anxiety disorders, the data were less satisfactory. We discuss the implications of our findings, and the need for researchers to validate routine diagnostic data. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12888-016-0963-x) contains supplementary material, which is available to authorized users