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Patient-initiated appointment systems for adults with chronic conditions in secondary care

2020· review· en· W1481985924 on OpenAlexfundno aff
Rebecca Whear, Jo Thompson Coon, Morwenna Rogers, Rebecca Abbott, Lindsey Anderson, Obioha C. Ukoumunne, Justin Matthews, Victoria A Goodwin, Simon Briscoe, Mark Perry, Ken Stein

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2020
Typereview
Languageen
FieldHealth Professions
TopicHealthcare Operations and Scheduling Optimization
Canadian institutionsnot available
FundersDepartment of Health and Social CareEvidence Synthesis ProgrammeNational Institute for Health and Care ResearchArthritis Society
KeywordsSecondary careMedicineChronic careChronic diseaseIntensive care medicinePrimary careFamily medicine

Abstract

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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 SELECTION CRITERIA: We included randomised trials, published and unpublished in any language that compared the use of patient-initiated appointment systems to consultant-led appointment systems for adults with chronic or recurrent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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.035
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.005
Bibliometrics0.0040.005
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0120.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.159
GPT teacher head0.457
Teacher spread0.297 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations36
Published2020
Admission routes1
Has abstractyes

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