Evidence map›Paper›PMID 27503436›Full record

Trial reportJournal of general internal medicine2016

Targeted Reminder Phone Calls to Patients at High Risk of No-Show for Primary Care Appointment: A Randomized Trial.

Sachin J Shah, Patrick Cronin, Clemens S Hong, Andrew S Hwang, Jeffrey M Ashburner, Benjamin I Bearnot, Calvin A Richardson, Blair W Fosburgh, Alexandra B Kimball

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of general internal medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
–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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Predictive model-based interventions to reduce outpatient no-shows: a rapid systematic review.Journal of the American Medical Informatics Association : JAMIA · 2023
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Reducing missed appointments in general practice: evaluation of a quality improvement programme in East London.The British journal of general practice : the journal of the Royal College of General Practitioners · 2021
    Article
  17. Observational
  18. Article
  19. Observational
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Sachin J ShahDepartment of Medicine, Division of General Internal Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA. sshah@mgh.harvard.edu.
Patrick CroninDepartment of Medicine, Lab of Computer Science, Massachusetts General Hospital, Boston, MA, USA.
Clemens S HongLos Angeles County Department of Health Services, Los Angeles, CA, USA.
Andrew S HwangDepartment of Medicine, Division of General Internal Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Jeffrey M AshburnerDepartment of Medicine, Division of General Internal Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Benjamin I BearnotDepartment of Medicine, Division of General Internal Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Calvin A RichardsonMassachusetts General Physicians Organization, Massachusetts General Hospital, 50 Staniford Street (940-J), Boston, MA, 02114, USA.
Blair W FosburghDepartment of Medicine, Division of General Internal Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Alexandra B KimballMassachusetts General Physicians Organization, Massachusetts General Hospital, 50 Staniford Street (940-J), Boston, MA, 02114, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNo-shows, or missed appointments, are a problem for many medical practices. They result in fragmented care and reduce access for all patients.

objectiveTo determine whether telephone reminder calls targeted to patients at high risk of no-show can reduce no-show rates.

designSingle-center randomized controlled trial.

participantsA total of 2247 primary care patients in a hospital-based primary care clinic at high risk of no-show (>15 % risk) for their appointment in 7 days.

interventionSeven days prior to their appointment, intervention arm patients were placed in a calling queue to receive a reminder phone call from a patient service coordinator. Coordinators were trained to engage patients in concrete planning. All patients received an automated phone call (usual care). MAIN MEASURES: Primary outcome was no-show rate. Secondary outcomes included arrival rate, cancellation rate, reschedule rate, time to cancellation, and change in revenue. KEY

resultsThe no-show rate in the intervention arm (22.8 %) was significantly lower (absolute risk difference -6.4 %, p < 0.01, 95 % CI [-9.8 to -3.0 %]) than that in the control arm (29.2 %). Arrival, cancellation, and reschedule rates did not differ significantly. In the intervention arm, rescheduling and cancellations occurred further in advance of the appointment (mean difference, 0.35 days; 95 % CI [0.07-0.64]; p = 0.01). Reimbursement did not differ significantly.

conclusionsA phone call 7 days prior to an appointment led to a significant reduction in no-shows and increased reimbursement among patients at high risk of no-show. The use of targeted interventions may be of interest to practices taking on increased accountability for population health.

Indexed as

Appointments and SchedulesCell PhoneReminder SystemsAcademic Medical CentersAdultAgedFemaleHumansMaleMiddle AgedNo-Show PatientsOutpatient Clinics, HospitalPatient CompliancePrimary Health CareRisk FactorsText Messagingaccess to careapplied informaticsbehavior changepopulation healthprimary care redesign

Identifiers

PMID27503436
PMCPMC5130951

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.