Evidence map›Paper›PMID 33837491›Full record

ArticleInternational journal of health economics and management2021

An economic analysis of a wearable patient sensor for preventing hospital-acquired pressure injuries among the acutely ill patients.

Leo Nherera, Barrett Larson, Annemari Cooley, Patrick Reinhard

Open access · hybridAbstract read
In one paragraph

Article in International journal of health economics and management, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
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  3. Review
  4. Article
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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

4 authors at 3 institutions in 3 countries.

Leo NhereraSmith+Nephew, Fort Worth, TX, USA. leo.nherera@smith-nephew.com.ORCID http://orcid.org/0000-0003-1758-9504
Barrett LarsonDepartment of Anesthesia, Smith+Nephew, Texas and Stanford University School of Medicine, Fort Worth, USA.
Annemari CooleySmith+Nephew, Fort Worth, TX, USA.
Patrick ReinhardDepartment of Nursing, San Joaquin Valley College, Bakersfield, CA, USA.
Baylor School · USSan Joaquin Valley College · USSmith Family · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

More than 2.5 million people in the United States develop pressure injuries annually, which are one of the most common complications occurring in hospitals. Despite being common, hospital-acquired pressure injuries (HAPIs) are largely considered preventable by regular patient turning. Although current methodologies to prompt on-time repositioning have limited efficacy, a wearable patient sensor has been shown to optimize turning practices and improve clinical outcomes. The purpose of this study was to assess the cost-effectiveness of patient-wearable sensor in the prevention of HAPIs in acutely ill patients when compared to standard practice alone. A decision analytic model was developed to simulate the expected costs and outcomes from the payer's perspective using data from published literature, including a recently published randomized controlled trial. Both univariate and probabilistic sensitivity analysis were conducted. The patient-wearable sensor was found to be cost saving (dominant). It resulted in better clinical outcomes (77% reduction in HAPIs) compared to standard care and an expected cost savings of $6,621 per patient over a one-year period. Applying the model to a cohort of 1,000 patients, an estimated 203 HAPIs would be avoided with annualized cost reduction of $6,222,884 through all patient treatment settings. The probabilistic analysis returned similar results. In conclusion, the patient-wearable sensor was found to be cost-effective in the prevention of HAPIs and cost-saving to payers and hospitals. These results suggest that patient-wearable sensors should be considered as a cost-effective alternative to standard care in the prevention of HAPIs.

Indexed as

Pressure UlcerWearable Electronic DevicesCost-Benefit AnalysisHospitalsHumansUnited StatesCost effectivenessHospital-acquired conditionsPressure injuriesPreventionWearable sensors

Identifiers

PMID33837491
PMCPMC8034272
OpenAlexW3141134761

What OpenQuestion holds

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LicenceCC BY
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.