Evidence map›Paper›PMID 30156579›Full record

ArticleJournal of hospital medicine2019

Identifying Observation Stays In Medicare Data: Policy Implications of a Definition.

Ann M Sheehy, Fangfang Shi, Amy J H Kind

Abstract read
In one paragraph

Article in Journal of hospital medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Ann M SheehyDepartment of Medicine, Division of Hospital Medicine, University of Wisconsin School of Medicine and Public Health, Wisconsin, USA. asr@medicine.wisc.edu.
Fangfang ShiDepartment of Medicine, Division of Geriatrics, University of Wisconsin School of Medicine and Public Health, Wisconsin, USA.
Amy J H KindDepartment of Medicine, Division of Geriatrics, University of Wisconsin School of Medicine and Public Health, Wisconsin, USA.

Funding

Neighborhood Socioeconomic Disadvantage and Medicare's 30-Day Rehospitalization Policy: Eliminating Rehospitalization Disparities by Informing Policy Design and ImplementationR01MD010243 · NIMHD · UNIVERSITY OF WISCONSIN-MADISON · PI KIND, AMY J. · 2015 to 2019
$2.8M
NIMHD NIH HHS R01 MD010243
6 · The paper itself

Abstract

Observation stays are increasingly common, yet no standard method to identify observation stays in Medicare claims is available, including events with status change. To determine the claims patterns of Medicare observation stays, define comprehensive claims-based methodology for future Medicare observation research and data reporting, and identify policy implications of such definition, we identified potential observation events in a 2014 20% random sample of Medicare beneficiaries with both Part A and B claims and at least 1 acute care stay (1,667,660 events). Observation revenue center (ORC) and Healthcare Common Procedure Coding System codes occurring within 30 days of an inpatient hospitalization were recorded. A total of 125,920 (7.6%) events had an ORC code, and 75,502 (4.5%) were in the outpatient revenue center. Claims patterns varied tremendously, and almost half (47.3%, 59,529) of the ORC codes were associated with an inpatient claim, indicating status change and demonstrating a need for clarity in observation policy. The proposed University of Wisconsin method identified 72,858 of 75,502 (96.5%) events with ORC codes as observation stays, and provides a comprehensive, reproducible methodology.

Indexed as

Emergency Service, HospitalAgedAged, 80 and overFemaleHospitalizationHumansInpatientsInsurance Claim ReviewLength of StayMaleMedicareOutpatientsUnited States

Identifiers

PMID30156579
PMCPMC6382581

What OpenQuestion holds

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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.