Evidence map›Paper›PMID 34159548›Full record

ArticleJournal of general internal medicine2022

Neighborhood Effects on Missed Appointments in a Large Urban Academic Multispecialty Practice.

Edgar Y Chou, Kari Moore, Yuzhe Zhao, Steven Melly, Lily Payvandi, James W Buehler

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Edgar Y ChouDrexel University College of Medicine and Drexel University Physicians Practice Plan, Philadelphia, PA, USA.
Kari MooreUrban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
Yuzhe ZhaoUrban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
Steven MellyUrban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
Lily PayvandiDrexel University College of Medicine/Tower Health, Philadelphia, PA, USA.
James W BuehlerUrban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA. jwb87@drexel.edu.ORCID 0000-0001-9784-2711

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMissed appointments diminish the continuity and quality of care.

objectiveTo determine whether missing scheduled appointments is associated with characteristics of the populations in places where patients reside.

designRetrospective cross-sectional study using data extracted from electronic health records linked to population descriptors for each patient's census tract of residence. PATIENTS: A total of 58,981 patients ≥18 years of age with 275,682 scheduled appointments during 2014-2015 at a multispecialty outpatient practice. MAIN MEASURES: We used multinomial generalized linear mixed models to examine associations between the outcomes of scheduled appointments (arrived, canceled, or missed) and selected characteristics of the populations in patients' census tracts of residence (racial/ethnic segregation based on population composition, levels of poverty, violent crime, and perceived safety and social capital), controlling for patients' age, gender, type of insurance, and type of clinic service. KEY

resultsOverall, 17.5% of appointments were missed. For appointments among patients residing in census tracts in the highest versus lowest quartile for each population metric, adjusted odds ratios (aORs) for missed appointments were 1.27 (CI 1.19, 1.35) for the rate of violent crime, 1.27 (CI 1.20, 1.34) for the proportion Hispanic, 1.19 (CI 1.12, 1.27) for the proportion living in poverty, 1.13 (CI 1.05, 1.20) for the proportion of the census tract population that was Black, and 1.06 (CI 1.01, 1.11 for perceived neighborhood safety.

conclusionsCharacteristics of the places where patients reside are associated with missing scheduled appointments, including high levels of racial/ethnic segregation, poverty, and violent crime and low levels of perceived neighborhood safety. As such, targeting efforts to improve access for patients living in such neighborhoods will be particularly important to address underlying social determinants of access to health care.

Indexed as

Residence CharacteristicsSocial SegregationAppointments and SchedulesCross-Sectional StudiesEthnicityHumansRetrospective Studiesmissed appointmentneighborhood characteristicssocial determinants

Identifiers

PMID34159548
PMCPMC8904676

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.