Process evaluations of primary care interventions addressing chronic disease: a systematic review
暂无分享,去创建一个
S. Jan | M. Hackett | D. Peiris | T. Laba | Hueiming Liu | A. Mohammed | J. Shanthosh | Madeline News | Janani Shanthosh
[1] Yongqing Xu,et al. Antegrade intramedullary nail versus plate fixation in the treatment of humeral shaft fractures , 2019, Medicine.
[2] R. Atun,et al. Action to address the household economic burden of non-communicable diseases , 2018, The Lancet.
[3] R. Armstrong,et al. TIDieR-PHP: a reporting guideline for population health and policy interventions , 2018, British Medical Journal.
[4] Marguerite Schneider,et al. Process evaluations of task sharing interventions for perinatal depression in low and middle income countries (LMIC): a systematic review and qualitative meta-synthesis , 2018, BMC Health Services Research.
[5] Peter Byass,et al. Universal health coverage is needed to deliver NCD control , 2018, The Lancet.
[6] J. Pandian,et al. Clinical stroke research in resource limited settings: Tips and hints , 2018, International journal of stroke : official journal of the International Stroke Society.
[7] A. Booth,et al. Applying GRADE-CERQual to qualitative evidence synthesis findings—paper 2: how to make an overall CERQual assessment of confidence and create a Summary of Qualitative Findings table , 2018, Implementation Science.
[8] M. Kieny,et al. Systems science for universal health coverage , 2017, Bulletin of the World Health Organization.
[9] Chris Bullen,et al. The impact of a point-of-care testing device on CVD risk assessment completion in New Zealand primary-care practice: A cluster randomised controlled trial and qualitative investigation , 2017, PloS one.
[10] Elvin H Geng,et al. Implementation science: Relevance in the real world without sacrificing rigor , 2017, PLoS medicine.
[11] Elizabeth Murray,et al. Standards for Reporting Implementation Studies (StaRI) Statement , 2017, British Medical Journal.
[12] B. Guthrie,et al. Process evaluation of the Data-driven Quality Improvement in Primary Care (DQIP) trial: case study evaluation of adoption and maintenance of a complex intervention to reduce high-risk primary care prescribing , 2017, BMJ Open.
[13] Andrew Booth,et al. Making sense of complexity in context and implementation: the Context and Implementation of Complex Interventions (CICI) framework , 2017, Implementation Science.
[14] Jesse C. Crosson,et al. Using the Consolidated Framework for Implementation Research (CFIR) to produce actionable findings: a rapid-cycle evaluation approach to improving implementation , 2017, Implementation Science.
[15] B. Chi,et al. Hypertension management in rural primary care facilities in Zambia: a mixed methods study , 2017, BMC Health Services Research.
[16] B. Guthrie,et al. Process evaluation of the data-driven quality improvement in primary care (DQIP) trial: active and less active ingredients of a multi-component complex intervention to reduce high-risk primary care prescribing , 2017, Implementation Science.
[17] J. Rycroft-Malone,et al. Process evaluations in neurological rehabilitation: a mixed-evidence systematic review and recommendations for future research , 2016, BMJ Open.
[18] S. Jan,et al. Examining the use of process evaluations of randomised controlled trials of complex interventions addressing chronic disease in primary health care—a systematic review protocol , 2016, Systematic Reviews.
[19] P. Shekelle,et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation , 2016, British Medical Journal.
[20] G. Wong,et al. Can “realist” randomised controlled trials be genuinely realist? , 2016, Trials.
[21] Graham Moore,et al. Realist complex intervention science: Applying realist principles across all phases of the Medical Research Council framework for developing and evaluating complex interventions , 2016, Evaluation.
[22] B. McKinstry,et al. Involving patients in clinical research: the Telescot Patient Panel , 2016, Health expectations : an international journal of public participation in health care and health policy.
[23] C. Jackson,et al. Making sense of change: patients’ views of diabetes and GP‐led integrated diabetes care , 2016, Health expectations : an international journal of public participation in health care and health policy.
[24] Elizabeth Murray,et al. Achieving change in primary care—causes of the evidence to practice gap: systematic reviews of reviews , 2015, Implementation Science.
[25] S. Majumdar,et al. Contextualizing the Effectiveness of a Collaborative Care Model for Primary Care Patients with Diabetes and Depression (Teamcare): A Qualitative Assessment Using RE-AIM. , 2015, Canadian journal of diabetes.
[26] K. Khunti,et al. Explaining engagement in self-monitoring among participants of the DESMOND Self-monitoring Trial: a qualitative interview study. , 2015, Family practice.
[27] C. Fox,et al. Chronic Kidney Disease Guideline Implementation in Primary Care: A Qualitative Report from the TRANSLATE CKD Study , 2015, The Journal of the American Board of Family Medicine.
[28] Alex Brown,et al. Effectiveness of chronic care models: opportunities for improving healthcare practice and health outcomes: a systematic review , 2015, BMC Health Services Research.
[29] P. Nilsen. Making sense of implementation theories, models and frameworks , 2015, Implementation Science.
[30] Radha Rao,et al. Building a primary care/research partnership: lessons learned from a telehealth intervention for diabetes and depression. , 2015, Family practice.
[31] A. O’Cathain,et al. Process evaluation of complex interventions: Medical Research Council guidance , 2015, BMJ : British Medical Journal.
[32] Penelope Hawe,et al. Lessons from complex interventions to improve health. , 2015, Annual review of public health.
[33] R. Doughty,et al. Telecare for Diabetes, CHF or COPD: Effect on Quality of Life, Hospital Use and Costs. A Randomised Controlled Trial and Qualitative Evaluation , 2015, PloS one.
[34] P. Shekelle,et al. Reporting of context and implementation in studies of global health interventions: a pilot study , 2014, Implementation Science.
[35] C. Chew‐Graham,et al. Facilitating professional liaison in collaborative care for depression in UK primary care; a qualitative study utilising normalisation process theory , 2014, BMC Family Practice.
[36] J. Pencharz,et al. Finding a BETTER way: A qualitative study exploring the prevention practitioner intervention to improve chronic disease prevention and screening in family practice , 2014, BMC Family Practice.
[37] J. Wyatt,et al. Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide , 2014, BMJ : British Medical Journal.
[38] David Moher,et al. Reducing waste from incomplete or unusable reports of biomedical research , 2014, The Lancet.
[39] Aziz Sheikh,et al. Exploring telemonitoring and self-management by patients with chronic obstructive pulmonary disease: a qualitative study embedded in a randomized controlled trial. , 2013, Patient education and counseling.
[40] T. Greenhalgh,et al. Realist RCTs of complex interventions - an oxymoron. , 2013, Social science & medicine.
[41] K. Carlisle,et al. A qualitative case study of telehealth for in-home monitoring to support the management of type 2 diabetes , 2013, Journal of telemedicine and telecare.
[42] R. Araya,et al. A cluster randomised controlled trial to determine the clinical effectiveness and cost-effectiveness of classroom-based cognitive-behavioural therapy (CBT) in reducing symptoms of depression in high-risk adolescents , 2013 .
[43] V. Drennan,et al. Structured Pro-Active Care for Chronic Depression by Practice Nurses in Primary Care: A Qualitative Evaluation , 2013, PloS one.
[44] P. Whiting,et al. Systematic review and meta-analysis of the current evidence on the duration of protection by bacillus Calmette-Guérin vaccination against tuberculosis. , 2013, Health technology assessment.
[45] Trudy van der Weijden,et al. The Development of a Mobile Monitoring and Feedback Tool to Stimulate Physical Activity of People With a Chronic Disease in Primary Care: A User-Centered Design , 2013, JMIR mHealth and uHealth.
[46] A. Sheikh,et al. Experiences of patients and professionals participating in the HITS home blood pressure telemonitoring trial: a qualitative study , 2013, BMJ Open.
[47] Bruce Guthrie,et al. Process evaluations for cluster-randomised trials of complex interventions: a proposed framework for design and reporting , 2013, Trials.
[48] Nathaniel Otoo,et al. Moving towards universal health coverage: health insurance reforms in nine developing countries in Africa and Asia , 2012, The Lancet.
[49] U. W. Jayasinghe,et al. Predictors of primary care referrals to a vascular disease prevention lifestyle program among participants in a cluster randomised trial , 2012, BMC Health Services Research.
[50] Mark G. Davis,et al. A pragmatic randomised controlled trial to evaluate the cost-effectiveness of a physical activity intervention as a treatment for depression: the treating depression with physical activity (TREAD) trial. , 2012, Health technology assessment.
[51] S Rachel Skinner,et al. School-based vaccination: a systematic review of process evaluations. , 2011, Vaccine.
[52] V. Patel,et al. The integration of the treatment for common mental disorders in primary care: experiences of health care providers in the MANAS trial in Goa, India , 2011, International journal of mental health systems.
[53] D. Casey,et al. Developing a structured education programme for clients with COPD. , 2011, British journal of community nursing.
[54] E. O'Shea,et al. Peer support for patients with type 2 diabetes: cluster randomised controlled trial , 2011, BMJ : British Medical Journal.
[55] D. Mant,et al. Systematic review and validation of prediction rules for identifying children with serious infections in emergency departments and urgent-access primary care. , 2012, Health technology assessment.
[56] P. Bower,et al. What work has to be done to implement collaborative care for depression? Process evaluation of a trial utilizing the Normalization Process Model , 2010, Implementation science : IS.
[57] Claire Glenton,et al. Use of qualitative methods alongside randomised controlled trials of complex healthcare interventions: methodological study , 2009, BMJ : British Medical Journal.
[58] J. Lowery,et al. Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science , 2009, Implementation science : IS.
[59] P. Bower,et al. Developing guided self-help for depression using the Medical Research Council complex interventions framework: a description of the modelling phase and results of an exploratory randomised controlled trial , 2008, BMC psychiatry.
[60] S. Tobe,et al. Diabetes risk evaluation and microalbuminuria (DREAM) studies: ten years of participatory research with a First Nation’s home and community model for type 2 diabetes care in Northern Saskatchewan , 2008, International journal of circumpolar health.
[61] C. Chew‐Graham,et al. Failure to improve appropriateness of referrals to adult community mental health services--lessons from a multi-site cluster randomized controlled trial. , 2008, Family practice.
[62] V. Patel,et al. Integrating evidence‐based treatments for common mental disorders in routine primary care: feasibility and acceptability of the MANAS intervention in Goa, India , 2008, World psychiatry : official journal of the World Psychiatric Association.
[63] A. Dietrich,et al. Sustainable Impact of a Primary Care Depression Intervention , 2007, The Journal of the American Board of Family Medicine.
[64] B. Tiemens. A randomised controlled trial to test the feasibility of a collaborative care model for the management of depression in older people1 , 2007 .
[65] J. Schaefer,et al. Qualitative study of an intervention for depression among patients with diabetes: how can we optimize patient-professional interaction? , 2006, Chronic illness.
[66] J. Schaefer,et al. Qualitative study of an intervention for depression among patients with diabetes: how can we optimize patient—professional interaction? , 2006 .
[67] C. Dowrick,et al. Qualitative study of an educational intervention for GPs in the assessment and management of depression. , 2005, The British journal of general practice : the journal of the Royal College of General Practitioners.
[68] P. Murchie,et al. Running nurse-led secondary prevention clinics for coronary heart disease in primary care: qualitative study of health professionals' perspectives. , 2005, The British journal of general practice : the journal of the Royal College of General Practitioners.
[69] A. Dietrich,et al. Going to Scale: Re-Engineering Systems for Primary Care Treatment of Depression , 2004, The Annals of Family Medicine.
[70] L. Mynors-Wallis,et al. Credibility of problem-solving therapy and medication for the treatment of depression among primary care patients. , 2002, Medical science monitor : international medical journal of experimental and clinical research.
[71] P. Sandercock,et al. Framework for design and evaluation of complex interventions to improve health , 2000, BMJ : British Medical Journal.
[72] J. Holmen,et al. IMPLEMENTING CLINICAL GUIDELINES IN THE TREATMENT OF DIABETES MELLITUS IN GENERAL PRACTICE , 2000, International Journal of Technology Assessment in Health Care.
[73] J. Grimshaw,et al. Looking inside the black box: results of a theory-based process evaluation exploring the results of a randomized controlled trial of printed educational messages to increase primary care physicians' diabetic retinopathy referrals [Trial registration number ISRCTN72772651]. , 2014, Implementation science : IS.
[74] P Tappenden,et al. The clinical effectiveness and cost-effectiveness of home-based, nurse-led health promotion for older people: a systematic review. , 2012, Health technology assessment.
[75] W. Katon,et al. Impacting Late Life Depression: Integrating a Depression Intervention into Primary Care , 2004, Psychiatric Quarterly.