Evidence map›Paper›PMID 33257461›Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2021

Reducing missed appointments in general practice: evaluation of a quality improvement programme in East London.

Tom Margham, Crystal Williams, Jack Steadman, Sally Hull

Erratum issuedAbstract read
In one paragraph

Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. On Missed Appointments: The Ethics of Nonattendance in General Practice.Journal of evaluation in clinical practice · 2025
    Article
  5. Article
  6. Understanding access to general practice through the lens of candidacy: a critical review of the literature.The British journal of general practice : the journal of the Royal College of General Practitioners · 2024
    Review
  7. Article
  8. Review
  9. Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Tom MarghamJubilee Street Practice, London.
Crystal WilliamsInstitute of Population Health Sciences, Queen Mary University of London, London.
Jack SteadmanNHS Tower Hamlets Clinical Commissioning Group, London.
Sally HullInstitute of Population Health Sciences, Queen Mary University of London, London.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMissed appointments are common in primary care, contributing to reduced clinical capacity. NHS England has estimated that there are 7.2 million missed general practice appointments annually, at a cost of £216 million. Reducing these numbers is important for an efficient primary care sector.

aimTo evaluate the impact of a system-wide quality improvement (QI) programme on the rates of missed GP appointments, and to identify effective practice interventions. DESIGN AND

settingPractices within a clinical commissioning group (CCG) in East London, with an ethnically diverse and socially deprived population.

methodStudy practices engaged in a generic QI programme, which included sharing data on appointment systems and Did Not Attend (DNA) rates. Fourteen out of 25 practices implemented DNA reduction projects, supported by practice-based coaching. Appointment data were collected from practice electronic health records. Evaluation included comparisons of DNA rates pre- and post-intervention using interrupted times series analysis.

resultsIn total, 25 out of 32 practices engaged with the programme. The mean DNA rate at baseline was 7% (range 2-12%); 2 years later the generic intervention DNA rates were 5.2%. This equates to a reduction of 4030 missed appointments. The most effective practice intervention was to reduce the forward booking time to 1 day. The practice that made this change reduced its mean DNA rate from 7.8% to 3.9%.

conclusionForward booking time in days is the best predictor of practice DNA rates. Sharing appointment data produced a significant reduction in missed appointments, and behaviour change interventions with patients had a modest additional impact; in contrast, introducing structural change to the appointment system effectively reduced DNA rates. To reduce non-attendance, it appears that the appointment system needs to change, not the patient.

Indexed as

General PracticeQuality ImprovementAppointments and SchedulesEnglandHumansLondongeneral practicenon-attendancequality improvement

Identifiers

PMID33257461
PMCPMC7716879

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Registered trials

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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.