Patient-Centered Assessment in Psychotherapy: A Review of Individualized Tools

There has been an increasing interest in patient‐centered assessment of psychological treatments. This article reviews the existing patient‐generated measures (PGMs) that have been used by clinicians and psychotherapy researchers to collect evaluation data from the patient perspective. A systematic review of literature was performed to identify PGMs in empirical studies between 1990 and 2014. Twenty tools were identified, of which three were designed to assess the outcome and 17 to assess the process of therapy. The characteristics of each are described and discussed, including psychometric data and evidence of clinical utility. This review helps professionals and researchers to implement the recommendation of health policies that advocate the importance of patient‐centered care

How do people who use drugs experience treatment? A qualitative analysis of views about opioid substitution treatment in primary care (iCARE study)

OBJECTIVE: To understand the most significant aspects of care experienced by people in opioid substitution treatment (OST) in primary care settings. DESIGN: Semistructured individual interviews were conducted, following the critical incidents technique. Interview transcripts were analysed following a thematic analysis approach. PARTICIPANTS: Adults aged 18 years or older, receiving OST in UK-based primary care services. RESULTS: Twenty-four people in OST were interviewed between January and March 2019. Participants reported several aspects which were significant for their treatment, when engaging with the primary care service. These were grouped into 10 major themes: (1) humanised care; (2) individual bond/connection with the professional; (3) professionals' experience and knowledge; (4) having holistic care; (5) familiarity; (6) professionals' commitment and availability to help; (7) anonymity; (8) location; (9) collaborative teamwork; and (10) flexibility and changes around the treatment plan. CONCLUSIONS: This study included first-hand accounts of people who use drugs about what supports them in their recovery journey. The key lessons learnt from our findings indicate that people who use drugs value receiving treatment in humanised and destigmatised environments. We also learnt that a good relationship with primary care professionals supports their recovery journey, and that treatment plans should be flexible, tailor-made and collaboratively designed with patients

MF Calculator: A Web-based Application for Analyzing Similarity

This paper presents the metric-frequency calculator (MF Calculator), an online application to analyze similarity. The MF Calculator implements a metric-frequency similarity algorithm for the quantitative assessment of similarity in ill-structured data sets. It is widely applicable as it can be used with nominal, ordinal, or interval data when there is little prior control over the variables to be observed regarding number or content. The MF Calculator generates a proximity matrix in CSV, XML or DOC format that can be used as input to traditional statistical techniques such as hierarchical clustering, additive trees, or multidimensional scaling. The MF Calculator also displays a graphical representation of outputs using additive similarity trees. A simulated example illustrates the implementation of the MF calculator. An additional example with real data is presented, in order to illustrate the potential of combining the MF Calculator with cluster analysis. The MF Calculator is a user-friendly tool available free of charge. It can be accessed from http://mfcalculator.celiasales.org/Calculator.aspx, and it can be used by non-experts from a wide range of social sciences