Evidence map›Paper›PMID 35257259›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2022

Health care providers' effect on long-term mortality after the first-ever stroke: application of shared frailty survival models.

Navideh Nikmohammadi, Neda Gilani, S Morteza Shamshirgaran, Parvin Sarbakhsh

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Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2022. 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

4 authors at 2 institutions in 1 country.

Navideh NikmohammadiDepartment of Statistics and Epidemiology, Faculty of Health, Tabriz University of Medical Sciences, 5165665931, Tabriz, Iran.ORCID http://orcid.org/0000-0003-0007-9110
Neda GilaniDepartment of Statistics and Epidemiology, Faculty of Health, Tabriz University of Medical Sciences, 5165665931, Tabriz, Iran.ORCID http://orcid.org/0000-0002-5399-0277
S Morteza ShamshirgaranEpidemiology Healthy Ageing Research Center, Department of Statistics and Epidemiology, Faculty of Health, Neyshabur University of Medical Sciences, Neyshabur, Iran.ORCID http://orcid.org/0000-0003-1719-2822
Parvin SarbakhshDepartment of Statistics and Epidemiology, Faculty of Health, Tabriz University of Medical Sciences, 5165665931, Tabriz, Iran. p.sarbakhsh@gmail.com.ORCID http://orcid.org/0000-0002-4213-5152
Tabriz University of Medical Sciences · IRUniversity of Neyshabur · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStroke is a global public health challenge. Frailty models can detect and consider the effects of the unknown factors influencing survival along with other known factors. This study aims to evaluate health care providers' effect, along with the demographic and clinical factors, on the stroke patients' survival by using the shared frailty survival models.

methodsIn the 2-year follow-up, a total of 1036 patients with first-ever stroke were recruited from 2013 up to 2015 with census sampling method from two hospitals of Iran, as the health care providers. For model selection, we fitted parametric and semiparametric survival models with parametric shared frailty and used the goodness of fit criteria to compare the models.

resultThe median follow-up was 730 days. The rate of mortality was 38% during the follow-up period. The Weibull model with gamma frailty had a better fit than the other survival models. The significant variables from the Weibull model were NIHSS score as the stroke severity (score < 5: reference category; scores 5-19: HR = 2.99, p value < 0.001; score ≥ 20: HR = 5.66, p value < 0.001) and age (HR = 1.03, p value < 0.001). Even with the incorporation of the demographic and clinical factors in the survival model, the effect of health care providers as the shared frailty effect was significant (p < 0.001).

conclusionsDespite considering the known demographic and clinical prognostic factors, health care providers' effect on the patients' survival after stroke was still significant. This may be due to the existing difference between two hospitals in facilities, management, coordination, and efficiency of treatment.

Indexed as

FrailtyStrokeHealth PersonnelHospitalsHumansIranHealth care providerMortalityShared frailtyStrokeSurvival models

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PMID35257259
OpenAlexW4221028016

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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.