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Whear R, Thompson‐Coon J, Rogers M, Abbott RA, Anderson L, Ukoumunne O, Matthews J, Goodwin VA, Briscoe S, Perry M, Stein K. Patient-initiated appointment systems for adults with chronic conditions in secondary care. Cochrane Database Syst Rev 2020; 4:CD010763. [PMID: 32271946 PMCID: PMC7144896 DOI: 10.1002/14651858.cd010763.pub2] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Missed hospital outpatient appointments is a commonly reported problem in healthcare services around the world; for example, they cost the National Health Service (NHS) in the UK millions of pounds every year and can cause operation and scheduling difficulties worldwide. In 2002, the World Health Organization (WHO) published a report highlighting the need for a model of care that more readily meets the needs of people with chronic conditions. Patient-initiated appointment systems may be able to meet this need at the same time as improving the efficiency of hospital appointments. OBJECTIVES To assess the effects of patient-initiated appointment systems compared with consultant-led appointment systems for people with chronic or recurrent conditions managed in secondary care. SEARCH METHODS We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, and six other databases. We contacted authors of identified studies and conducted backwards and forwards citation searching. We searched for current/ongoing research in two trial registers. Searches were run on 13 March 2019. SELECTION CRITERIA We included randomised trials, published and unpublished in any language that compared the use of patient-initiated appointment systems to consultant-led appointment systems for adults with chronic or recurrent conditions managed in secondary care if they reported one or more of the following outcomes: physical measures of health status or disease activity (including harms), quality of life, service utilisation or cost, adverse effects, patient or clinician satisfaction, or failures of the 'system'. DATA COLLECTION AND ANALYSIS Two review authors independently screened all references at title/abstract stage and full-text stage using prespecified inclusion criteria. We resolved disagreements though discussion. Two review authors independently completed data extraction for all included studies. We discussed and resolved discrepancies with a third review author. Where needed, we contacted authors of included papers to provide more information. Two review authors independently assessed the risk of bias using the Cochrane Effective Practice and Organisation of Care 'Risk of bias' tool, resolving any discrepancies with a third review author. Two review authors independently assessed the certainty of the evidence using GRADE. MAIN RESULTS The 17 included randomised trials (3854 participants; mean age 41 to 76 years; follow-up 12 to 72 months) covered six broad health conditions: cancer, rheumatoid arthritis, asthma, chronic obstructive pulmonary disease, psoriasis and inflammatory bowel disease. The certainty of the evidence using GRADE ratings was mainly low to very low. The results suggest that patient-initiated clinics may make little or no difference to anxiety (odds ratio (OR) 0.87, 95% confidence interval (CI) 0.68 to 1.12; 5 studies, 1019 participants; low-certainty evidence) or depression (OR 0.79 95% CI 0.51 to 1.23; 6 studies, 1835 participants; low-certainty evidence) compared to the consultant-led appointment system. The results also suggest that patient-initiated clinics may make little or no difference to quality of life (standardised mean difference (SMD) 0.12, 95% CI 0.00 to 0.25; 7 studies, 1486 participants; low-certainty evidence) compared to the consultant-led appointment system. Results for service utilisation (contacts) suggest there may be little or no difference in service utilisation in terms of contacts between the patient-initiated and consultant-led appointment groups; however, the effect is not certain as the rate ratio ranged from 0.68 to 3.83 across the studies (median rate ratio 1.11, interquartile (IQR) 0.93 to 1.37; 15 studies, 3348 participants; low-certainty evidence). It is uncertain if service utilisation (costs) are reduced in the patient-initiated compared to the consultant-led appointment groups (8 studies, 2235 participants; very low-certainty evidence). The results suggest that adverse events such as relapses in some conditions (inflammatory bowel disease and cancer) may have little or no reduction in the patient-initiated appointment group in comparison with the consultant-led appointment group (MD -0.20, 95% CI -0.54 to 0.14; 3 studies, 888 participants; low-certainty evidence). The results are unclear about any differences the intervention may make to patient satisfaction (SMD 0.05, 95% CI -0.41 to 0.52; 2 studies, 375 participants) because the certainty of the evidence is low, as each study used different questions to collect their data at different time points and across different health conditions. Some areas of risk of bias across all the included studies was consistently high (i.e. for blinding of participants and personnel and blinding of outcome assessment, other areas were largely of low risk of bias or were affected by poor reporting making the assessment unclear). AUTHORS' CONCLUSIONS Patient-initiated appointment systems may have little or no effect on patient anxiety, depression and quality of life compared to consultant-led appointment systems. Other aspects of disease status and experience also appear to show little or no difference between patient-initiated and consultant-led appointment systems. Patient-initiated appointment systems may have little or no effect on service utilisation in terms of service contact and there is uncertainty about costs compared to consultant-led appointment systems. Patient-initiated appointment systems may have little or no effect on adverse events such as relapse or patient satisfaction compared to consultant-led appointment systems.
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Affiliation(s)
- Rebecca Whear
- University of Exeter Medical SchoolNIHR CLAHRC South West Peninsula (PenCLAHRC)St Luke's CampusUniversity of ExeterExeterDevonUKEX1 2LU
| | - Joanna Thompson‐Coon
- University of Exeter Medical SchoolNIHR CLAHRC South West Peninsula (PenCLAHRC)St Luke's CampusUniversity of ExeterExeterDevonUKEX1 2LU
| | - Morwenna Rogers
- University of Exeter Medical SchoolNIHR PenCLAHRC, Institute of Health ResearchExeterDevonUKEX1 2LU
| | - Rebecca A Abbott
- University of Exeter Medical SchoolNIHR CLAHRC South West Peninsula (PenCLAHRC)St Luke's CampusUniversity of ExeterExeterDevonUKEX1 2LU
| | - Lindsey Anderson
- University of Exeter Medical SchoolInstitute of Health ResearchVeysey Building, Salmon Pool LaneExeterUKEX2 4SG
| | - Obioha Ukoumunne
- University of Exeter Medical SchoolNIHR CLAHRC South West Peninsula (PenCLAHRC)St Luke's CampusUniversity of ExeterExeterDevonUKEX1 2LU
| | - Justin Matthews
- University of Exeter Medical SchoolNIHR PenCLAHRC, Institute of Health ResearchExeterDevonUKEX1 2LU
| | - Victoria A Goodwin
- University of Exeter Medical SchoolNIHR CLAHRC South West Peninsula (PenCLAHRC)St Luke's CampusUniversity of ExeterExeterDevonUKEX1 2LU
| | - Simon Briscoe
- University of Exeter Medical SchoolNIHR CLAHRC South West Peninsula (PenCLAHRC)St Luke's CampusUniversity of ExeterExeterDevonUKEX1 2LU
| | - Mark Perry
- Derriford HospitalRheumatologyPlymouthDevonUKPL6 8DH
| | - Ken Stein
- University of Exeter Medical School, University of ExeterPeninsula Technology Assessment Group (PenTAG)Salmon Pool LaneExeterUKEX2 4SG
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Penn ML, Kennedy AP, Vassilev II, Chew-Graham CA, Protheroe J, Rogers A, Monks T. Modelling self-management pathways for people with diabetes in primary care. BMC FAMILY PRACTICE 2015; 16:112. [PMID: 26330096 PMCID: PMC4557856 DOI: 10.1186/s12875-015-0325-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/06/2015] [Accepted: 08/17/2015] [Indexed: 01/06/2023]
Abstract
BACKGROUND Self-management support to facilitate people with type 2 diabetes to effectively manage their condition is complex to implement. Organisational and system elements operating in relation to providing optimal self-management support in primary care are poorly understood. We have applied operational research techniques to model pathways in primary care to explore and illuminate the processes and points where people struggle to find self-management support. METHODS Primary care clinicians and support staff in 21 NHS general practices created maps to represent their experience of patients' progress through the system following diagnosis. These were collated into a combined pathway. Following consideration of how patients reduce dependency on the system to become enhanced self-managers, a model was created to show the influences on patients' pathways to self-management. RESULTS Following establishment of diagnosis and treatment, appointment frequency decreases and patient self-management is expected to increase. However, capacity to consistently assess self-management capabilities; provide self-management support; or enhance patient-led self-care activities is missing from the pathways. Appointment frequencies are orientated to bio-medical monitoring rather than increasing the ability to mobilise resources or undertake self-management activities. CONCLUSIONS The model provides a clear visual picture of the complexities implicated in achieving optimal self-management support. Self-management is quickly hidden from view in a system orientated to treatment delivery rather than to enhancing patient self-management. The model created highlights the limited self-management support currently provided and illuminates points where service change might impact on providing support for self-management. Ensuring professionals are aware of locally available support and people's existing network support has potential to provide appropriate and timely direction to community facilities and the mobilisation of resources.
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Affiliation(s)
- Marion L Penn
- Southampton General Hospital, Mailpoint 11, AA72, South Academic Block, Tremona Road, Southampton, SO16 6YD, UK.
| | - Anne P Kennedy
- NIHR Collaboration for Leadership in Applied Health Research (CLAHRC) Wessex, Faculty of Health Sciences, University of Southampton, Highfield, Southampton, SO17 1BJ, UK.
| | - Ivaylo I Vassilev
- NIHR Collaboration for Leadership in Applied Health Research (CLAHRC) Wessex, Faculty of Health Sciences, University of Southampton, Highfield, Southampton, SO17 1BJ, UK.
| | - Carolyn A Chew-Graham
- Research Institute, Primary Care & Health Sciences, and NIHR Collaboration for Leadership in Applied Health Research (CLAHRC) West Midlands, Keele University, Keele, Staffordshire, ST5 5BG, UK.
| | - Joanne Protheroe
- Research Institute, Primary Care & Health Sciences, and NIHR Collaboration for Leadership in Applied Health Research (CLAHRC) West Midlands, Keele University, Keele, Staffordshire, ST5 5BG, UK.
| | - Anne Rogers
- NIHR Collaboration for Leadership in Applied Health Research (CLAHRC) Wessex, Faculty of Health Sciences, University of Southampton, Highfield, Southampton, SO17 1BJ, UK.
| | - Tom Monks
- Southampton General Hospital, Mailpoint 11, AA72, South Academic Block, Tremona Road, Southampton, SO16 6YD, UK.
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Bower P, Kennedy A, Reeves D, Rogers A, Blakeman T, Chew-Graham C, Bowen R, Eden M, Gardner C, Hann M, Lee V, Morris R, Protheroe J, Richardson G, Sanders C, Swallow A, Thompson D. A cluster randomised controlled trial of the clinical and cost-effectiveness of a 'whole systems' model of self-management support for the management of long- term conditions in primary care: trial protocol. Implement Sci 2012; 7:7. [PMID: 22280501 PMCID: PMC3274470 DOI: 10.1186/1748-5908-7-7] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2011] [Accepted: 01/26/2012] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Patients with long-term conditions are increasingly the focus of quality improvement activities in health services to reduce the impact of these conditions on quality of life and to reduce the burden on care utilisation. There is significant interest in the potential for self-management support to improve health and reduce utilisation in these patient populations, but little consensus concerning the optimal model that would best provide such support. We describe the implementation and evaluation of self-management support through an evidence-based 'whole systems' model involving patient support, training for primary care teams, and service re-organisation, all integrated into routine delivery within primary care. METHODS The evaluation involves a large-scale, multi-site study of the implementation, effectiveness, and cost-effectiveness of this model of self-management support using a cluster randomised controlled trial in patients with three long-term conditions of diabetes, chronic obstructive pulmonary disease (COPD), and irritable bowel syndrome (IBS). The outcome measures include healthcare utilisation and quality of life. We describe the methods of the cluster randomised trial. DISCUSSION If the 'whole systems' model proves effective and cost-effective, it will provide decision-makers with a model for the delivery of self-management support for populations with long-term conditions that can be implemented widely to maximise 'reach' across the wider patient population. TRIAL REGISTRATION NUMBER ISRCTN: ISRCTN90940049.
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Affiliation(s)
- Peter Bower
- Primary Care Research Group, Community Based Medicine, University of Manchester, 5th Floor Williamson Building, Oxford Road, Manchester M13 9PL, UK
| | - Anne Kennedy
- Primary Care Research Group, Community Based Medicine, University of Manchester, 5th Floor Williamson Building, Oxford Road, Manchester M13 9PL, UK
| | - David Reeves
- Primary Care Research Group, Community Based Medicine, University of Manchester, 5th Floor Williamson Building, Oxford Road, Manchester M13 9PL, UK
| | - Anne Rogers
- Primary Care Research Group, Community Based Medicine, University of Manchester, 5th Floor Williamson Building, Oxford Road, Manchester M13 9PL, UK
| | - Tom Blakeman
- Primary Care Research Group, Community Based Medicine, University of Manchester, 5th Floor Williamson Building, Oxford Road, Manchester M13 9PL, UK
| | - Carolyn Chew-Graham
- Primary Care Research Group, Community Based Medicine, University of Manchester, 5th Floor Williamson Building, Oxford Road, Manchester M13 9PL, UK
| | - Robert Bowen
- Primary Care Research Group, Community Based Medicine, University of Manchester, 5th Floor Williamson Building, Oxford Road, Manchester M13 9PL, UK
| | - Martin Eden
- Primary Care Research Group, Community Based Medicine, University of Manchester, 5th Floor Williamson Building, Oxford Road, Manchester M13 9PL, UK
| | - Caroline Gardner
- Primary Care Research Group, Community Based Medicine, University of Manchester, 5th Floor Williamson Building, Oxford Road, Manchester M13 9PL, UK
| | - Mark Hann
- Primary Care Research Group, Community Based Medicine, University of Manchester, 5th Floor Williamson Building, Oxford Road, Manchester M13 9PL, UK
| | - Victoria Lee
- Primary Care Research Group, Community Based Medicine, University of Manchester, 5th Floor Williamson Building, Oxford Road, Manchester M13 9PL, UK
| | - Rebecca Morris
- Primary Care Research Group, Community Based Medicine, University of Manchester, 5th Floor Williamson Building, Oxford Road, Manchester M13 9PL, UK
| | - Joanne Protheroe
- Institute of Primary Care and Health Sciences, Arthritis Research UK Primary Care Centre, Keele University, UK
| | - Gerry Richardson
- Centre for Health Economics, University of York, York YO10 5DD, UK
| | - Caroline Sanders
- Primary Care Research Group, Community Based Medicine, University of Manchester, 5th Floor Williamson Building, Oxford Road, Manchester M13 9PL, UK
| | - Angela Swallow
- Primary Care Research Group, Community Based Medicine, University of Manchester, 5th Floor Williamson Building, Oxford Road, Manchester M13 9PL, UK
| | - David Thompson
- Section GI Science, School of Translational Medicine- Hope, Clinical Sciences Building, Hope Hospital, Salford M6 8HD, UK
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