Evidence map›Paper›PMID 39236031›Full record

ArticlePloS one2024

Re-evaluating the Morse Fall Scale in obstetrics and gynecology wards and determining optimal cut-off scores for enhanced risk assessment: A retrospective survey.

Bijun Mao, Huiping Jiang, Yan Chen, Chunsheng Wang, Luping Liu, Huifeng Gu, Ya Shen, Peihong Zhou

Abstract read
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Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Bijun MaoNursing Department, Huzhou Maternity & Child Health Care Hospital, Huzhou, China.
Huiping JiangNursing Department, Huzhou Maternity & Child Health Care Hospital, Huzhou, China.
Yan ChenNursing Department, Huzhou Maternity & Child Health Care Hospital, Huzhou, China.ORCID 0000-0002-1789-5141
Chunsheng WangSchool of Medicine, Huzhou Teachers College, Huzhou, China.
Luping LiuNursing Department, Huzhou Maternity & Child Health Care Hospital, Huzhou, China.
Huifeng GuNursing Department, Huzhou Maternity & Child Health Care Hospital, Huzhou, China.
Ya ShenNursing Department, Huzhou Maternity & Child Health Care Hospital, Huzhou, China.
Peihong ZhouNursing Department, Huzhou Maternity & Child Health Care Hospital, Huzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to examine the validity of the MFS by analyzing the electronic medical records on fall risk in obstetrics and gynecology wards and determine the optimal cut-off score of the Morse Fall Scale.

designA retrospective survey.

methodsThe research was conducted in an Obstetrics and Gynecology Hospital and a general hospital. The sample included 136 fall inpatients and 120 no-fall inpatients recruited from January 1st, 2020, to July 10th, 2022. The Morse Fall Scale was analyzed using the gold standard of patients who fell while hospitalized, assessing the area under the Receiver Operating Characteristic curve, sensitivity, specificity, accuracy, positive predictive value, negative predictive value, and Kappa.

resultsAt cut-off scores of 40, 45,50, and 55, the area under the Receiver Operating Characteristic curve was 0.772, 0.761, 0.749, and 0.763, respectively. The Youden index was 0.543, 0.521, 0.498, and 0.525, while Kappa values were 0.540, 0.518, 0.490, and 0.515. Sensitivity was 0.735, 0.713, 0.640, and 0.625; specificity was 0.808, 0.808, 0.858, and 0.900. The positive predictive values were 0.813, 0.808, 0.837, and 0.876, and the negative predictive values were 0.729, 0.713, 0.678, and 0.679. Accuracy were 0.770, 0.758, 0.742, and 0.754.

conclusionsThe Morse Fall Scale demonstrates good predictive performance for assessing fall risk in gynecology and obstetrics wards. The optimal cut-off score is 40.

Indexed as

Accidental FallsAdultAgedElectronic Health RecordsFemaleGynecologyHumansMiddle AgedObstetricsObstetrics and Gynecology Department, HospitalRetrospective StudiesRisk AssessmentROC Curve

Identifiers

PMID39236031
PMCPMC11376562

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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.