Vargas-Díaz Lorena María, Pachón Arciniegas Olga Patricia, Osorio Rojas Santiago, Manrique-Hernández Edgar Fabián, Bermon Angarita Anderson
Fundación Cardiovascular de Colombia, Bucaramanga, Colombia.
Rev Cuid. 2024 May 28;15(1):e3290. doi: 10.15649/cuidarte.3290. eCollection 2024 Jan-Apr.
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.
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.
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.
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).
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.
The timely identification of specific patient profiles allows timely actions to minimize health costs and catastrophic health events.
健康福利计划管理者必须管理其成员的健康风险。因此,从参保时就进行健康特征描述,以支持决策制定和及时干预。
分析保险公司承保的成年人群在全因和精神科住院服务需求方面的健康特征描述的历史结果。
对18岁以上成员进行观察性横断面研究,分析了保险公司成年人群的特征描述及其与初级保健中医疗咨询服务使用以及全因和精神科住院的关联。进行了双变量和多变量分析,并在逻辑回归中计算了比值比(OR)。
确定了与全因住院显著相关的变量:有心脏病转诊史,OR = 1.71(95%CI:1.33;2.20);呼吸系统疾病,OR = 1.30(95%CI:1.04;1.61);慢性肾病,OR = 1.66(95%CI:1.13;2.45);癌症,OR = 1.65(95%CI:1.14;2.40);长期服用任何药物,OR = 1.35(95%CI:1.174;1.56);吸烟,OR = 1.44(95%CI:1.12;1.85)。对于精神科住院,气馁、抑郁或希望渺茫的病史与之相关,OR = 5.12(95%CI:1.89;13.87)。
参保时对患者的特征描述有助于识别住院的预测变量,从初级保健层面指导管理,从而降低成本和减少灾难性健康事件。
及时识别特定患者特征可促使及时采取行动,以降低健康成本和减少灾难性健康事件。