Rational medication management mode and its implementation effect for the elderly with multimorbidity: A prospective cohort study in China

Analysis of a medication discrepancy management platform in reducing medication discrepancy and influencing factors among elderly patients with polypharmacy

OBJECTIVE

This study aimed to investigate the impact of a medication discrepancy management platform on reducing medication discrepancies among elderly patients with polypharmacy and to analyze influencing factors.

METHODS

A total of 110 elderly polypharmacy patients were divided into a control group and an observation group using a random number method, each with 55 participants. The control group received routine management, while the observation group utilized a medication discrepancy management platform. Medication knowledge and adherence before and after intervention were compared between the two groups. Reasons and types of medication discrepancies were statistically analyzed. Patients were divided into a non-discrepancy group and a discrepancy group, with multivariate logistic regression used to analyze factors influencing medication discrepancies among elderly patients with polypharmacy.

RESULTS

Utilizing a medication discrepancy management platform significantly improved medication knowledge and adherence among elderly patients (P < 0.05). A total of 34 patients (30.91%) experienced at least one medication discrepancy within one-week post-discharge, primarily involving decreased frequency, missed doses, reduction in medication types, and medication substitution. Multivariate logistic regression analysis showed that the use of the medication discrepancy management platform, caregiver involvement, and prescribed discharge medications (7-8 types or ≥ 9 types) were independent factors influencing medication discrepancies in elderly patients (P < 0.05).

CONCLUSION

Using a medication discrepancy management platform can effectively reduce medication discrepancies in elderly patients with polypharmacy and improve elderly patients' adherence to medication. Expanding the platform's use can enhance discharge guidance quality and ensure medication safety.

The impact of medical insurance and old-age security on the utilization of medical services by the older population with disabilities

OBJECTIVE

In this study, the impact of medical insurance and old-age security on the use of medical services by the older population with disabilities is analyzed. A reference for decision makers is provided to improve medical and old-age security policies and enhance the use of medical services by the older population.

METHODS

Data were drawn from 3,737 older people with disabilities aged 65 years or above from the 2018 China Longitudinal Healthy Longevity Survey. A two-part model based on social ecological theory was used for both analysis and group prediction.

RESULTS

In terms of the use of outpatient medical services, old-age pension significantly increased the probability of outpatient visits for this population group (P < 0.05). Urban employee/resident medical insurance, the new rural cooperative medical insurance, and retirement pension significantly affected medical expenses. In terms of the use of inpatient medical services, the new rural cooperative medical insurance and retirement pension significantly influenced the choice of inpatient medical services; retirement pension increased inpatient medical expenditure (p < 0.01). The expected average probability of hospitalization, unconditional expected cost, and conditional expected cost for the older population with disabilities were 49.5%, RMB 6629.31, and RMB 3281.51, respectively. Both conditional and unconditional expected costs were significantly higher for older people with disabilities with the following attributes: male, married, no less than three chronic conditions, and unassisted daily care; costs were lower for older people with disabilities who are female, not married, had less than three chronic conditions, and had a spouse, child, or other caregiver.

CONCLUSION

Medical insurance and old-age security can significantly promote the utilization of medical services by the older population with disabilities. It is therefore recommended to focus on strengthening the support and health management of these people who are unattended to improve the effective use of health services and better meet their needs.

Knowledge, attitude, and practice of medication and its influencing factors among residents in western China: a large-scale cross-sectional study

Background

This study aimed to understand the knowledge, attitude, and practice (KAP) of drug use among residents in western China and its influencing factors for accurately designing the knowledge, contents, and methods of popular science activities for safe drug use among residents to provide a reference for conducting rational drug use educational activities and improving residents' level of safe drug use.

Methods

A cross-sectional questionnaire survey was conducted to investigate the KAP of medication among western China residents and its influencing factors from March to April 2023. Each question option was assigned a score according to logic, and the risk factors for resident medication safety KAP were explored through univariate and logistic regression analyses.

Results

A total of 7,557 valid questionnaires were collected, with an effective recovery rate of 96.7%. The average scores of KAP were 72.77 ± 22.91, 32.89 ± 10.64, and 71.27 ± 19.09, respectively. In the evaluation criteria of the questionnaire, the score of medication knowledge reached "good," and the score of attitude and practice was "average." Multiple linear regression analysis indicated that male sex and low education level were significant factors affecting the lack of drug knowledge among residents. Old age and low education level were the factors of poor attitude toward medication. The low condition of medical security was a factor in residents' irregular drug use behavior.

Conclusion

The overall level of rational drug use among residents in western China is good, but there are still some inconsistencies. Rational drug use education should be conducted according to the risk points of residents in drug safety KAP to further improve the level of rational drug use of residents.

Knowledge, attitude, behaviour, and influencing factors of home-based medication safety among community-dwelling older adults with chronic diseases: a cross-sectional study

BACKGROUND

Older adults with chronic diseases require long-term medication. However, due to lack of drug knowledge and hypomnesia, older adults with chronic diseases are prone to adverse drug events and increased medical costs. This study aimed to explore the status and influencing factors of home-based medication safety among community-dwelling older adults with chronic diseases in China to provide a basis for follow-up to conduct targeted health education.

METHODS

Overall, 427 community-dwelling older adults with chronic diseases participated in this study. The Knowledge, Attitude, and Behaviour of Medication Safety among Older Adults with Chronic Diseases Questionnaire was used to assess their home-based medication safety. Multivariate linear regression was used to identify the factors influencing knowledge, attitude, and behaviour regarding medication safety.

RESULTS

The average score of home-based medication safety among older adults with chronic diseases was 68.26 ± 8.96, indicating that they had a moderate grasp of medication safety. The scoring rate of each subscale was ranked from high to low as follows: behaviour (84.51%), knowledge (63.33%), and attitude (47.39%). Stepwise linear regression analysis showed that medication safety knowledge, attitudes, and behaviours were significantly associated with higher monthly income, adverse drug events, and taking medicine several times a day (p < 0.05). Additional influencing factors included having fewer chronic diseases, being female, higher educational attainment, taking medicines multiple kinds a day, better self-care ability, and non-hospitalisation for chronic illnesses (p < 0.05).

CONCLUSION

Medical staff and community workers should pay attention to the drug safety of older adults with different characteristics and mobilise their enthusiasm for participation to improve their medication self-management ability.

TRIAL REGISTRATION

Chinese Clinical Trial Register: ChiCTR2200060987 ; reg. date: 15/06/2022.

Risk prediction model of polypharmacy for community-dwelling elderly patients: An assessment tool for early detection

Background: Polypharmacy has become a major and growing public health issue, with significant implications for health outcomes and expenditure on healthcare resources. In this study, a risk prediction model of polypharmacy represented by a nomogram for community-dwelling elderly patients based on the Chinese population was constructed.

Methods: A cross-sectional study was conducted in Shanghai, China. The variables data affecting polypharmacy were fetched from the information system database of health government departments in Shanghai. The Least Absolute Shrinkage Selection Operator (LASSO) regression analysis was used to select the predictor variables, and multivariate logistic regression was used to establish the prediction model. A visual tool of the nomogram was established for predicting the risk of polypharmacy in the elderly population. In addition, the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA) were used to estimate the performance of the model.

Results: A total of 80,012 elderly patients were included in this study. Eight variables, containing age, residential area, preferred medical institutions, number of visits to tertiary hospitals, number of visits to secondary hospitals, number of visits to community health centers, number of diagnoses, and main types of disease, were included in the risk prediction model of nomogram. The area under the curve (AUC) of the nomogram was 0.782 in both sets, demonstrating that the model has a good discriminant ability. The calibration chart shows that the prediction model fits well with the validation set. DCA results displayed that the threshold probabilities of the two sets in the prediction model reached up to 90%, implying that the model had a preferable application value.

Conclusion: This study explored the risk factors for polypharmacy among the elderly in Shanghai, China, and applied the nomogram to establish a predictive model via eight variables, which provided an effective tool for early screening and timely prevention of polypharmacy. Family physicians or pharmacists could scientifically use the tool to closely observe community-dwelling elderly patients, decreasing the adverse health effects caused by medication for the elderly.