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      Patient Preference and Adherence (submit here)

      This international, peer-reviewed Open Access journal by Dove Medical Press focuses on the growing importance of patient preference and adherence throughout the therapeutic process. Sign up for email alerts here.

      34,896 Monthly downloads/views I 2.314 Impact Factor I 3.8 CiteScore I 1.14 Source Normalized Impact per Paper (SNIP) I 0.629 Scimago Journal & Country Rank (SJR)

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      Patient experiences with interdisciplinary treatment for substance dependence: an assessment of quality indicators based on two national surveys in Norway

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          Abstract

          Purpose: The quality of health care is often measured using quality indicators, which can be utilized to compare the performance of health-care providers. Conducting comparisons in a meaningful and fair way requires the quality indicators to be adjusted for patient characteristics and other individual-level factors. The aims of the study were to develop and test a case-mix adjustment model for quality indicators based on patient-experience surveys among inpatients receiving interdisciplinary treatment for substance dependence, and to establish whether the quality indicators discriminate between health care providers.

          Patients and methods: Data were collected through two national surveys involving inpatients receiving residential treatment in Norway in 2013 and 2014. The same questionnaire was used in both surveys, and comprised three patient-experience scales. The scales are reported as national quality indicators, and associations between the scales and patient characteristics were tested through multilevel modeling to establish a case-mix model. The intraclass correlation coefficient was computed to assess the amount of variation at the hospital-trust level.

          Results: The intraclass correlation coefficient for the patient-reported experience scales varied from 2.3% for “treatment and personnel” to 8.1% for “milieu”. Multivariate multilevel regression analyses showed that alcohol reported as the most frequently used substance, gender and age were significantly associated with two of the three scales. The length of stay at the institution, pressure to be admitted for treatment, and self-perceived health were significantly related to all three scales. Explained variance at the individual level was approximately 7% for all three scales.

          Conclusion: This study identified several important case-mix variables for the patient-based quality indicators and systematic variations at the hospital-trust level. Future research should assess the association between patient-based quality indicators and other quality indicators, and the predictive validity of patient-experience indicators based on on-site measurements.

          Most cited references24

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          Defining and classifying clinical indicators for quality improvement.

          J Mainz (2003)
          This paper provides a brief review of definitions, characteristics, and categories of clinical indicators for quality improvement in health care. Clinical indicators assess particular health structures, processes, and outcomes. They can be rate- or mean-based, providing a quantitative basis for quality improvement, or sentinel, identifying incidents of care that trigger further investigation. They can assess aspects of the structure, process, or outcome of health care. Furthermore, indicators can be generic measures that are relevant for most patients or disease-specific, expressing the quality of care for patients with specific diagnoses. Monitoring health care quality is impossible without the use of clinical indicators. They create the basis for quality improvement and prioritization in the health care system. To ensure that reliable and valid clinical indicators are used, they must be designed, defined, and implemented with scientific rigour.
          Article 0 comments Cited 287 times – based on 0 reviews     Review now
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            A conceptual framework for the OECD Health Care Quality Indicators Project.

            Gert Westert, Onyebuchi Arah, Niek Klazinga … (2006)
            The Health Care Quality Indicator (HCQI) Project of the Organization for Economic Cooperation and Development (OECD), which is aimed at developing a set of indicators for comparing the quality of health care across OECD member countries, requires a balanced conceptual framework that outlines the main concepts and domains of performance that should be captured for the current and subsequent phases of the project. This article develops a conceptual framework for the OECD's HCQI Project. It first argues that developing such a framework should start by addressing the question, 'performance of what-and to what ends?' We identify at least two different major classes of frameworks: (i) health and (ii) health care performance frameworks, both of which are in common use. For the HCQI, we suggest a conceptual framework that is largely a purposeful modification of the existing performance frameworks and which is driven by the health determinants model. The conceptual basis for performance frameworks can be traced back to the health determinants model. A health performance framework takes a broader, societal or public health view of health determination, whereas a health care performance takes a narrower, mostly clinical or technical view of health care in relation to health (needs). This article proposes an HCQI framework that focuses on the quality of health care, maintains a broader perspective on health and its other determinants, and recognizes the key aims of health policy.
            Article 0 comments Cited 126 times – based on 0 reviews     Review now
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              The Client Satisfaction Questionnaire: psychometric properties in a Dutch addict population.

              F Leon, Anna M. Hendriks (2004)
              The aim of this study is to investigate psychometric properties of the Client Satisfaction Questionnaire (CSQ-8) in a Dutch substance abuse population. The CSQ-8 and the Mental Health Thermometer (the standard Dutch satisfaction instrument) were sent to 927 patients of a Dutch substance abuse treatment centre. (response rate 28.3%; n = 262). Data were compared on several variables (i.e., age, gender, ethnicity, treatment type). For a subgroup of responders (n = 84), data were compared with pre-treatment problem severity and treatment need (the European Addiction Severity Index). Both internal consistency and concurrent validity were found to be high. Only treatment type had significant effects on CSQ-8 satisfaction scores. Scores were negatively skewed. The CSQ-8 is as suitable an instrument to be used in addict populations, as it is in other populations. (c) 2005 S. Karger AG, Basel
              Article 0 comments Cited 38 times – based on 0 reviews     Review now
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                Author and article information

                Journal
                Journal ID (nlm-ta): Patient Prefer Adherence
                Journal ID (iso-abbrev): Patient Prefer Adherence
                Journal ID (publisher-id): PPA
                Journal ID (pmc): ppa
                Title: Patient preference and adherence
                Publisher: Dove
                ISSN (Electronic): 1177-889X
                Publication date (Electronic): 05 April 2019
                Publication date Collection: 2019
                Volume: 13
                Pages: 453-464
                Affiliations
                [1 ]Division of Health Services, Norwegian Institute of Public Health , Oslo, Norway
                [2 ]Department of Health Management and Health Economics, Institute of Health and Society, Faculty of Medicine, University of Oslo , Oslo, Norway
                [3 ]Division of Surgery, Akershus University Hospital , Lorenskog, Norway
                Author notes
                Correspondence: Mona HaugumDivision of Health Services, Norwegian Institute of Public Health , PO Box 222 Skoyen, Oslo0213, NorwayTel +4 792 457 560Email mona.haugum@ 123456fhi.no
                Article
                Publisher ID: 194925
                DOI: 10.2147/PPA.S194925
                PMC ID: 6498953
                PubMed ID: 31118584
                SO-VID: 859ce4f7-69ea-46bb-8446-f292f087d270
                Copyright © © 2019 Haugum et al.
                License:

                This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php).

                History
                Date received : 16 November 2018
                Date accepted : 12 March 2019
                Page count
                Figures: 1, Tables: 3, References: 40, Pages: 12
                Categories
                Subject: Original Research

                ScienceOpen disciplines: Medicine
                Keywords: quality of health care,health care quality indicator,case-mix adjustment,patient satisfaction,survey
                Data availability:
                ScienceOpen disciplines: Medicine
                Keywords: quality of health care, health care quality indicator, case-mix adjustment, patient satisfaction, survey

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