ArticleImplementation science : IS2013
Better together? a naturalistic qualitative study of inter-professional working in collaborative care for co-morbid depression and physical health problems.
Article in Implementation science : IS, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.
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Who cites it
37 citing papers in PubMed, 3 syntheses or guidelines pooled it, 82 citations in OpenAlex.
- Application of normalisation process theory in understanding implementation processes in primary care settings in the UK: a systematic review.BMC family practice · 2020Pooled it
- Pooled it
- Enablers and barriers to implementing collaborative care for anxiety and depression: a systematic qualitative review.Implementation science : IS · 2016Pooled it
- The Contribution of Patient, Primary Care Physician, and Primary Care Clinic Factors to Good Bone Health Care.The Permanente journal · 2021Trial
- Fuzzy-set qualitative comparative analysis of implementation outcomes in an integrated mental healthcare trial in South Africa.Global health action · 2021Trial
- Refining a model of collaborative care for people with a diagnosis of bipolar, schizophrenia or other psychoses in England: a qualitative formative evaluation.BMC psychiatry · 2019Trial
- The work of local healthcare innovation: a qualitative study of GP-led integrated diabetes care in primary health care.BMC health services research · 2016Trial
- Revealing hidden depression in older people: a qualitative study within a randomised controlled trial.BMC family practice · 2015Trial
- Integrated primary care for patients with mental and physical multimorbidity: cluster randomised controlled trial of collaborative care for patients with depression comorbid with diabetes or cardiovascular disease.BMJ (Clinical research ed.) · 2015Trial
- Trial
- Psychologists in primary care: A scoping review exploring the views and experiences of patients and professionals on psychology provision in primary care.Applied psychology. Health and well-being · 2026Article
- Community-based Collaborative Care for Serious Mental Illness: A Rapid Qualitative Evidence Synthesis of Health Care Providers' Experiences and Perspectives.Community mental health journal · 2025Review
- Factors that influence inter-organisational integration: a qualitative exploration of service providers' perspectives from an integrated care initiative.BMC health services research · 2025Article
- Mental health integrated care models in primary care and factors that contribute to their effective implementation: a scoping review.International journal of mental health systems · 2024Article
- How co-locating public mental health interventions in community settings impacts mental health and health inequalities: a multi-site realist evaluation.BMC public health · 2023Article
- Article
- Article
- Using Normalisation Process Theory (NPT) to develop an intervention to improve referral and uptake rates for self-management education for patients with type 2 diabetes in UK primary care.BMC health services research · 2022Article
- Barriers, facilitators, and proposals for improvement in the implementation of a collaborative care program for depression: a qualitative study of primary care physicians and nurses.BMC health services research · 2022Article
- Institutional ethnography - a primer.Singapore medical journal · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMental-physical multi-morbidities pose challenges for primary care services that traditionally focus on single diseases. Collaborative care models encourage inter-professional working to deliver better care for patients with multiple chronic conditions, such as depression and long-term physical health problems. Successive trials from the United States have shown that collaborative care effectively improves depression outcomes, even in people with long-term conditions (LTCs), but little is known about how to implement collaborative care in the United Kingdom. The aim of the study was to explore the extent to which collaborative care was implemented in a naturalistic National Health Service setting.
methodsA naturalistic pilot study of collaborative care was undertaken in North West England. Primary care mental health professionals from IAPT (Increasing Access to Psychological Therapies) services and general practice nurses were trained to collaboratively identify and manage patients with co-morbid depression and long-term conditions. Qualitative interviews were performed with health professionals at the beginning and end of the pilot phase. Normalization Process Theory guided analysis.
resultsHealth professionals adopted limited elements of the collaborative care model in practice. Although benefits of co-location in primary care practices were reported, including reduced stigma of accessing mental health treatment and greater ease of disposal for identified patients, existing norms around the division of mental and physical health work in primary care were maintained, limiting integration of the mental health practitioners into the practice setting. Neither the mental health practitioners nor the practice nurses perceived benefits to joint management of patients.
conclusionsEstablished divisions between mental and physical health may pose particular challenges for multi-morbidity service delivery models such as collaborative care. Future work should explore patient perspectives about whether greater inter-professional working enhances experiences of care. The study demonstrates that research into implementation of novel treatments must consider how the introduction of innovation can be balanced with the need for integration into existing practice.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.