Evidence map›Paper›PMID 25848416›Full record

ArticleApplied clinical informatics2015

Data collection methods in health services research: hospital length of stay and discharge destination.

M N Sarkies, K-A Bowles, E H Skinner, D Mitchell, R Haas, M Ho, K Salter, K May, D Markham, L O'Brien and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Applied clinical informatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
16.2field-weighted citation impact, top 1% of its field
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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

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  19. Hospitalization Rates for Respiratory Diseases After L'Aquila Earthquake.International journal of environmental research and public health · 2019
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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

12 authors at 1 institution in 1 country.

M N SarkiesMonash Health, Allied Health , Melbourne, Victoria, Australia ; Monash Health, Allied Health Research Unit , Melbourne, Victoria, Australia.
K-A BowlesMonash Health, Allied Health Research Unit , Melbourne, Victoria, Australia ; Monash University , Physiotherapy Department, Allied Health Research Unit, Melbourne, Victoria, Australia.
E H SkinnerMonash University, Allied Health Research Unit , Melbourne, Victoria, Australia ; Western Health, Allied Health , Melbourne, Victoria, Australia.
D MitchellMonash Health, Allied Health , Melbourne, Victoria, Australia ; Monash University , Physiotherapy Department, Melbourne, Victoria, Australia.
R HaasMonash Health, Allied Health Research Unit , Melbourne, Victoria, Australia ; Monash University , Physiotherapy Department, Allied Health Research Unit, Melbourne, Victoria, Australia.
M HoMonash Health, Allied Health , Melbourne, Victoria, Australia.
K SalterMonash Health, Allied Health , Melbourne, Victoria, Australia.
K MayMonash Health, Allied Health , Melbourne, Victoria, Australia.
D MarkhamMonash Health, Allied Health , Melbourne, Victoria, Australia.
L O'BrienMonash Health, Allied Health Research Unit , Melbourne, Victoria, Australia ; Monash University , Occupational Therapy Department, Melbourne, Victoria, Australia.
S PlumbMelbourne Health, Allied Health , Melbourne, Victoria, Australia.
T P HainesMonash Health, Allied Health Research Unit , Melbourne, Victoria, Australia ; Monash University , Physiotherapy Department, Allied Health Research Unit, Melbourne, Victoria, Australia.
Monash Health · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHospital length of stay and discharge destination are important outcome measures in evaluating effectiveness and efficiency of health services. Although hospital administrative data are readily used as a data collection source in health services research, no research has assessed this data collection method against other commonly used methods.

objectiveDetermine if administrative data from electronic patient management programs are an effective data collection method for key hospital outcome measures when compared with alternative hospital data collection methods.

methodProspective observational study comparing the completeness of data capture and level of agreement between three data collection methods; manual data collection from ward-based sources, administrative data from an electronic patient management program (i.PM), and inpatient medical record review (gold standard) for hospital length of stay and discharge destination.

resultsManual data collection from ward-based sources captured only 376 (69%) of the 542 inpatient episodes captured from the hospital administrative electronic patient management program. Administrative data from the electronic patient management program had the highest levels of agreement with inpatient medical record review for both length of stay (93.4%) and discharge destination (91%) data.

conclusionThis is the first paper to demonstrate differences between data collection methods for hospital length of stay and discharge destination. Administrative data from an electronic patient management program showed the highest level of completeness of capture and level of agreement with the gold standard of inpatient medical record review for both length of stay and discharge destination, and therefore may be an acceptable data collection method for these measures.

Indexed as

Data CollectionData MiningDecision MakingFemaleHealth PolicyHospital AdministrationHumansLength of StayMaleMiddle AgedOutcome Assessment, Health CarePatient DischargeData collectiondischarge destinationhealth services researchlength of stayresearch methodology

Identifiers

PMID25848416
PMCPMC4377563
OpenAlexW2157253163

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.