Evidence map›Paper›PMID 40219753›Full record

ArticleJournal of primary care & community health

Concierge-Level Care for Underserved Communities: Not a Pipe Dream.

Donald T Erwin, Alexandria Fischer, Mark Litvak, Eugene Litvak

Abstract read
In one paragraph

Article in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Donald T ErwinFederally Qualified Health Center, St. Thomas, New Orleans, LA, USA.
Alexandria FischerFederally Qualified Health Center, St. Thomas, New Orleans, LA, USA.
Mark LitvakHealthcare Operations Management, Newton, MA, USA.
Eugene LitvakHarvard T. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0002-1474-7282

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSt. Thomas (STCHC) has a long history of serving an urban, uninsured, and underinsured (Medicaid) population in the greater New Orleans area. Beginning in 2010, STCHC faced financial danger when Louisiana did not expand Medicaid coverage. Partnering with the nonprofit Institute for Healthcare Optimization (IHO), we increased patient throughput by balancing the clinic's resources between two modalities of care: urgent (same/next day) appointments in which patients were seen by whichever provider was available; and less urgent, in which patients saw their preferred PCP at the provider's availability. Assessing patient's appointment preferences was crucial in directing this innovation.

methodsWe analyzed 8913 appointments and patients' priorities between being cared for by a preferred provider or being seen on the same/next day. Appointment outcomes (i.e., occurred, no-show, canceled, or rescheduled) were matched to each preference group and no-show rates were calculated.

resultsWhen 80% to 90% of same-day requests were satisfied, the proportion of no-shows declined significantly, and patients' satisfaction with access to care reached 97%. Clinic appointment kept rate became 87% (95% CI [0.869975, 0.870025]).

conclusionsDisseminating these results nationwide would result in many lives and millions of dollars saved. Large-scale educational and implementation efforts are needed.

Indexed as

Appointments and SchedulesHealth Services AccessibilityMedically Underserved AreaAdolescentAdultFemaleHumansMaleMedicaidMedically UninsuredMiddle AgedNew OrleansPatient PreferenceUnited Statesaccess to careefficiencyhealth inequitiesprimary careunderserved communities

Identifiers

PMID40219753
PMCPMC12033624

What OpenQuestion holds

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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.