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      Development and assessment of an active strategy for the implementation of a collaborative care approach for depression in primary care (the INDI·i project)

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          Abstract

          Background

          Primary care is the principal clinical setting for the management of depression. However, significant shortcomings have been detected in its diagnosis and clinical management, as well as in patient outcomes. We developed the INDI collaborative care model to improve the management of depression in primary care. This intervention has been favorably evaluated in terms of clinical efficacy and cost-effectiveness in a clinical trial. Our aim is to bring this intervention from the scientific context into clinical practice.

          Methods

          Objective: To test for the feasibility and impact of a strategy for implementing the INDI model for depression in primary care.

          Design: A quasi-experiment conducted in primary care. Several areas will be established to implement the new program and other, comparable areas will serve as control group. The study constitutes the preliminary phase preceding generalization of the model in the Catalan public healthcare system.

          Participants: The target population of the intervention are patients with major depression. The implementation strategy will also involve healthcare professionals, primary care centers, as well as management departments and the healthcare organization itself in the geographical areas where the study will be conducted: Camp de Tarragona and Vallès Occidental (Catalonia).

          Intervention: The INDI model is a program for improving the management of depression involving clinical, instructional, and organizational interventions including the participation of nurses as care managers, the efficacy and efficiency of which has been proven in a clinical trial. We will design an active implementation strategy for this model based on the PARIHS (Promoting Action on Research Implementation in Health Services) framework.

          Measures: Qualitative and quantitative measures will be used to evaluate variables related to the successful implementation of the model: acceptability, utility, penetration, sustainability, and clinical impact.

          Discussion

          This project tests the transferability of a healthcare intervention supported by scientific research to clinical practice. If implementation is successful in this experimental phase, we will use the information and experience obtained to propose and plan the generalization of the INDI model for depression in the Catalan healthcare system. We expect the program to benefit patients, the healthcare system, and society.

          Trial registration

          ClinicalTrials.gov identifier: NCT03285659; Registered 12th September, 2017.

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          Most cited references25

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          Development and validation of the Patient Assessment of Chronic Illness Care (PACIC).

          There is a need for a brief, validated patient self-report instrument to assess the extent to which patients with chronic illness receive care that aligns with the Chronic Care Model-measuring care that is patient-centered, proactive, planned and includes collaborative goal setting; problem-solving and follow-up support. A total of 283 adults reporting one or more chronic illness from a large integrated health care delivery system were studied. Participants completed the 20-item Patient Assessment of Chronic Illness Care (PACIC) as well as measures of demographic factors, a patient activation scale, and subscales from a primary care assessment instrument so that we could evaluate measurement performance, construct, and concurrent validity of the PACIC. The PACIC consists of 5 scales and an overall summary score, each having good internal consistency for brief scales. As predicted, the PACIC was only slightly correlated with age and gender, and unrelated to education. Contrary to prediction, it was only slightly correlated (r = 0.13) with number of chronic conditions. The PACIC demonstrated moderate test-retest reliability (r = 0.58 during the course of 3 months) and was correlated moderately, as predicted (r = 0.32-0.60, median = 0.50, P < 0.001) to measures of primary care and patient activation. The PACIC appears to be a practical instrument that is reliable and has face, construct, and concurrent validity. The resulting questionnaire is in the public domain, and recommendations for its use in research and quality improvement are outlined.
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            Collaborative care for depression: a cumulative meta-analysis and review of longer-term outcomes.

            Depression is common in primary care but is suboptimally managed. Collaborative care, that is, structured care involving a greater role of nonmedical specialists to augment primary care, has emerged as a potentially effective candidate intervention to improve quality of primary care and patient outcomes. To quantify the short-term and longer-term effectiveness of collaborative care compared with standard care and to understand mechanisms of action by exploring between-study heterogeneity, we conducted a systematic review of randomized controlled trials that compared collaborative care with usual primary care in patients with depression. We searched MEDLINE (from the beginning of 1966), EMBASE (from the beginning of 1980), CINAHL (from the beginning of 1980), PsycINFO (from the beginning of 1980), the Cochrane Library (from the beginning of 1966), and DARE (Database of Abstracts of Reviews of Effectiveness) (from the beginning of 1985) databases from study inception to February 6, 2006. We found 37 randomized studies including 12 355 patients with depression receiving primary care. Random effects meta-analysis showed that depression outcomes were improved at 6 months (standardized mean difference, 0.25; 95% confidence interval, 0.18-0.32), and evidence of longer-term benefit was found for up to 5 years (standardized mean difference, 0.15; 95% confidence interval, 0.001-0.31). When exploring determinants of effectiveness, effect size was directly related to medication compliance and to the professional background and method of supervision of case managers. The addition of brief psychotherapy did not substantially improve outcome, nor did increased numbers of sessions. Cumulative meta-analysis showed that sufficient evidence had emerged by 2000 to demonstrate the statistically significant benefit of collaborative care. Collaborative care is more effective than standard care in improving depression outcomes in the short and longer terms. Future research needs to address the implementation of collaborative care, particularly in settings other than the United States.
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              When the entire population is the sample: strengths and limitations in register-based epidemiology.

              Studies based on databases, medical records and registers are used extensively today in epidemiological research. Despite the increasing use, no developed methodological literature on use and evaluation of population-based registers is available, even though data collection in register-based studies differs from researcher-collected data, all persons in a population are available and traditional statistical analyses focusing on sampling error as the main source of uncertainty may not be relevant. We present the main strengths and limitations of register-based studies, biases especially important in register-based studies and methods for evaluating completeness and validity of registers. The main strengths are that data already exist and valuable time has passed, complete study populations minimizing selection bias and independently collected data. Main limitations are that necessary information may be unavailable, data collection is not done by the researcher, confounder information is lacking, missing information on data quality, truncation at start of follow-up making it difficult to differentiate between prevalent and incident cases and the risk of data dredging. We conclude that epidemiological studies with inclusion of all persons in a population followed for decades available relatively fast are important data sources for modern epidemiology, but it is important to acknowledge the data limitations.
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                Author and article information

                Contributors
                00 34 977 524109 , earagones.tgn.ics@gencat.cat
                dpalao@tauli.cat
                glopez.tgn.ics@gencat.cat
                acaballero.tgn.ics@gencat.cat
                ncardoner@tauli.cat
                casausp@peremata.com
                31347mca@comb.cat
                JMonreal@tauli.cat
                PerezSola@parcdesalutmar.cat
                MCirera@tauli.cat
                MLoren@tauli.cat
                ebellerino.mn.ics@gencat.cat
                catarinadeoliveira@urv.cat
                lpalacios.tgn.ics@gencat.cat
                Journal
                BMC Health Serv Res
                BMC Health Serv Res
                BMC Health Services Research
                BioMed Central (London )
                1472-6963
                13 December 2017
                13 December 2017
                2017
                : 17
                : 821
                Affiliations
                [1 ]Primary Care Area Camp de Tarragona, Catalan Health Institute, Tarragona, Spain
                [2 ]GRID grid.452479.9, Primary Care Research Institute IDIAP Jordi Gol, ; Barcelona, Spain
                [3 ]ISNI 0000 0000 9238 6887, GRID grid.428313.f, Mental Health Service, University Hospital Parc Taulí, ; Sabadell, Spain
                [4 ]GRID grid.7080.f, Department of Psychiatry and Legal Medicine, , Autonomous University of Barcelona, ; Barcelona, Spain
                [5 ]University Psychiatric Hospital Pere Mata Institute, Reus, Spain
                [6 ]ISNI 0000 0000 9635 9413, GRID grid.410458.c, Mental Health Centre Esquerra Eixample, Hospital Clínic, ; Barcelona, Spain
                [7 ]ISNI 0000 0004 1767 8811, GRID grid.411142.3, Institute of Neuropsychiatry and Addictions, Hospital del Mar, IMIM, ; Barcelona, Spain
                [8 ]ISNI 0000 0004 1762 4012, GRID grid.418264.d, CIBERSAM, ; Madrid, Spain
                [9 ]Healthcare Corporation Parc Taulí, Primary Care Area, Sabadell, Spain
                [10 ]ISNI 0000 0000 9127 6969, GRID grid.22061.37, Primary Care Service Vallès Occidental, Catalan Health Institute, ; Sabadell, Spain
                [11 ]ISNI 0000 0001 2284 9230, GRID grid.410367.7, Unit for the Study and Treatment of Pain – ALGOS, Universitat Rovira i Virgili, ; Tarragona, Spain
                [12 ]ISNI 0000 0001 2284 9230, GRID grid.410367.7, Department of Psychology, , Universitat Rovira i Virgili, ; Tarragona, Spain
                [13 ]Centre d’Atenció Primària de Constantí, Carrer dels Horts, 6, 43120 Constantí (Tarragona), Spain
                Author information
                http://orcid.org/0000-0002-5245-4667
                Article
                2774
                10.1186/s12913-017-2774-2
                5729287
                29237444
                a9807995-bd7c-4b0c-a681-1ee0823d3161
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 11 October 2017
                : 1 December 2017
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100002809, Generalitat de Catalunya;
                Award ID: SLT002/16/00106
                Award Recipient :
                Categories
                Study Protocol
                Custom metadata
                © The Author(s) 2017

                Health & Social care
                depressive disorder,primary health care,health plan implementation,disease management,patient-centered care

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