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基于老年骨质疏松症的门诊处方建立患者依从性预测模型及其验证

冯冰冰 杨亚军

国际老年医学杂志2024,Vol.45Issue(4):408-413,6.
国际老年医学杂志2024,Vol.45Issue(4):408-413,6.DOI:10.3969/j.issn.1674-7593.2024.04.005

基于老年骨质疏松症的门诊处方建立患者依从性预测模型及其验证

Establishment of a Predictive Model for Patient Compliance Based on Outpatient Prescription for Osteoporosis in the Elderly and Its Validation

冯冰冰 1杨亚军2

作者信息

  • 1. 广东医科大学附属医院,湛江 524001
  • 2. 广东医科大学,湛江 524023
  • 折叠

摘要

Abstract

Objective To analyze the compliance of outpatient prescription in elderly patients with osteoporosis,and to es-tablish and verify the prediction model based on the compliance of outpatient prescription in elderly patients with osteoporosis.Meth-ods Through the pre-review system of outpatient prescription of Affiliated Hospital of Guangdong Medical University,a total of 195 cases of elderly osteoporosis admitted to the hospital from January 2023 to December 2023 were collected.The treatment compliance of the patients was assessed using the Chinese revised medication compliance scale.They were divided into poor treatment compliance group(57 cases,29.23%)and good compliance group(138 cases,70.77%).57 patients in poor treatment compliance group were randomly divided into training set(45 cases)and verification set(12 cases).Univariate and multivariate logistic regression analysis were also used to analyze the factors affecting compliance,and a nomogram model predicting poor treatment compliance in patients was constructed and validated.Results Age(>75 years),education level(primary school and below),living alone,combined under-lying diseases,type of medication(>4),and irregular follow-up in the same clinic were risk factors for poor compliance in elderly pa-tients with osteoporosis after treatment with outpatient prescription drugs(P<0.05).The nomogram model validation results showed that the consistency indices of the training and validation sets were 0.803(95%CI:0.758-0.826)and 0.811(95%CI:0.761-0.823),respectively,and the calibration curves tended to be ideal curves,with AUC of 0.755(95%CI:0.714-0.811)and 0.843(95%CI:0.725-0.883),respectively.Conclusion The patient compliance prediction model based on outpatient prescription for osteoporosis in the elderly established in this study has high accuracy and reliability and can effectively predict the medication compli-ance of patients.

关键词

骨质疏松/门诊处方/依从性/预测模型

Key words

Osteoporosis/Outpatient prescription/Compliance/Predictive model

引用本文复制引用

冯冰冰,杨亚军..基于老年骨质疏松症的门诊处方建立患者依从性预测模型及其验证[J].国际老年医学杂志,2024,45(4):408-413,6.

基金项目

国家自然科学基金资助项目(No.82274641) (No.82274641)

国际老年医学杂志

OACSTPCD

1674-7593

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