Evidence map›Paper›PMID 40115894›Full record

ArticleRevista Cuidarte

Early characterization of an adult population at an insurer's point of entry as an opportunity to identify hospitalization risk.

Lorena María Vargas-Díaz, Olga Patricia Pachón Arciniegas, Santiago Osorio Rojas, Edgar Fabián Manrique-Hernández, Anderson Bermon Angarita

Abstract read
In one paragraph

Article in Revista Cuidarte. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Lorena María Vargas-DíazFundación Cardiovascular de Colombia, Bucaramanga, Colombia. lorenavar@gmail.com Fundación Cardiovascular de Colombia Bucaramanga Colombia lorenavar@gmail.com.
Olga Patricia Pachón ArciniegasFundación Cardiovascular de Colombia, Bucaramanga, Colombia. patriciapachon@fcv.org Fundación Cardiovascular de Colombia Bucaramanga Colombia patriciapachon@fcv.org.
Santiago Osorio RojasFundación Cardiovascular de Colombia, Bucaramanga, Colombia. rojasosorio43@gmail.com Fundación Cardiovascular de Colombia Bucaramanga Colombia rojasosorio43@gmail.com.
Edgar Fabián Manrique-HernándezFundación Cardiovascular de Colombia, Bucaramanga, Colombia. fabianmh1993@gmail.com Fundación Cardiovascular de Colombia Bucaramanga Colombia fabianmh1993@gmail.com.
Anderson Bermon AngaritaFundación Cardiovascular de Colombia, Bucaramanga, Colombia. andersonbermon@fcv.org Fundación Cardiovascular de Colombia Bucaramanga Colombia andersonbermon@fcv.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Health Benefit Plan Administrators must manage the health risk of their members. Therefore, health characterization is performed from enrollment to support decision-making and timely intervention. Objective: To analyze the historical results of characterizing the adult population on admission to the insurance company in relation to the demand for all-cause and psychiatric hospitalization services. Materials and Methods: An observational cross-sectional studywith members over 18 years of age, in which an analysis was made of the characterization of the adult population of the insurer and its association with the use of medicalconsultationservicesinprimarycareandall-causeandpsychiatric hospitalizations. Bivariate and multivariate analysis was made, and odds ratios (OR) were calculated in logistic regression. Results: Variables significantly associated with having an all-cause hospitalization were identified: having referred history of heart disease OR=1.71(95%CI: 1.33; 2.20), respiratory disease OR= 1. 30(95%CI: 1.04; 1.61), chronic kidney disease OR=1.66(95%CI: 1.13; 2.45), cancer OR=1.65(95%CI: 1.14; 2.40), taking any medication permanently OR=1.35(95%CI: 1.174; 1.56) and smoking OR=1.44(95%CI: 1.12; 1.85). For psychiatric hospitalizations, a history of discouragement, depression, or little hope was relevant with OR=5.12(95%CI: 1.89; 13.87). Discussion: The characterization of patients during enrolment allowed the identification of predictor variables of hospitalization, guiding management from the primary care level minimizing costs and catastrophic health events. Conclusion: The timely identification of specific patient profiles allows timely actions to minimize health costs and catastrophic health events.

Indexed as

Health ManagementHealth ProfileInsurance Health

Identifiers

PMID40115894
PMCPMC11560088

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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.