Factors predicting satisfaction in outpatient substance abuse treatment: a prospective follow-up study
| Autor: | Tomi Lintonen, Katja Kuusisto |
|---|---|
| Přispěvatelé: | Yhteiskuntatieteiden tiedekunta - Faculty of Social Sciences, Tampere University |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Male
lcsh:Social pathology. Social and public welfare. Criminology 030508 substance abuse Satisfaction Effectiveness Substance use Severity of Illness Index lcsh:HV1-9960 Sosiaali- ja yhteiskuntapolitiikka - Social policy 0302 clinical medicine Muut yhteiskuntatieteet - Other social sciences Outpatients Outpatient clinic 030212 general & internal medicine Prospective Studies substance abuse treatment Finland Outcome education.field_of_study Health Policy lcsh:Public aspects of medicine tuloksellisuus satisfaction Age Factors Outpatient Substance abuse treatment Middle Aged vaikuttavuus 3. Good health Test (assessment) Psychiatry and Mental health Health psychology Patient Satisfaction client-centred evaluation outpatient outcome Female Substance Abuse Treatment Centers 0305 other medical science Psychology Clinical psychology Adult Randomization Patient Dropouts Client-centred evaluation Substance-Related Disorders Population päihdeongelma substance use effectiveness Affect (psychology) service user 03 medical and health sciences Sex Factors Statistical significance odotukset Experiential knowledge Humans education Service user Psykologia - Psychology Research lcsh:RA1-1270 Expectations päihdehoito Socioeconomic Factors tyytyväisyys expectations Follow-Up Studies |
| Zdroj: | Substance Abuse Treatment, Prevention, and Policy, Vol 15, Iss 1, Pp 1-12 (2020) Substance Abuse Treatment, Prevention, and Policy |
| DOI: | 10.1186/s13011-020-00275-5 |
| Popis: | Background While treatment satisfaction has been associated with better outcomes in substance abuse treatment, there is an obvious need for a more profound understanding of what predicts client’s satisfaction with treatment. This study elucidates factors relevant to treatment outcome measured at follow-up in terms of satisfaction with the treatment received. Methods The research was implemented as a multisite study in outpatient clinics (N = 7) in southern and western Finland. Data consists of therapists (N = 33) and their clients (N = 327). Each consenting client beginning a treatment period was accepted as a research subject and all therapists at the clinics in question participated. The study was conducted as part of the clinic’s normal activity. Clients were allocated to therapists according to a randomization list drawn up in advance. Apart from the randomisation and the completion of questionnaires, it did not interfere with the progress of treatment. Follow-up lasted 6 months. Multiple Classification Analysis (MCA) was used through combinations of variables organized by content, e.g. client demographics, previous substance use, therapist’s characteristics and client’s expectations. The analyses were based in part on conventional statistical testing (t -test, χ2-test, ANOVA). Results Among 37 independent variables few were statistically significant in the final model. The results suggest that high treatment expectations at baseline are a strong predictor of satisfaction at follow-up. Also, previous substance use predicted treatment satisfaction; people using multiple substances were less satisfied than those taking only one substance. Stronger predictors reduced the statistical significance of those independent variables that were statistically significant in the first analyses. Therefore, therapist’s role in recovery and readiness to change should be also seen as antecedents to treatment satisfaction. Conclusions It seems that treatment expectations are fulfilled among those participating in follow-up. Yet many are lost during treatment and by follow-up. Service users have experiential knowledge that differs from professionals’ and policymakers’ knowledge. It is clinically relevant to understand what factors affect client’s satisfaction. Hence, it is possible to identify the population whose treatment should receive the most attention, how the client’s experience, their commitment to treatment, and treatment effectiveness could be improved. |
| Databáze: | OpenAIRE |
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