A Study on the Perceptions of Korean Older Adult Patients and Caregivers about Polypharmacy and Deprescribing

Does missing data matter in the revised Patients' Attitudes Towards Deprescribing questionnaire? A systematic review and two case analyses

BACKGROUND

The revised Patients' Attitudes Towards Deprescribing (rPATD) questionnaire was developed to capture beliefs and perceptions of patients about deprescribing. In general, handling of missing data is underreported in survey studies. Underlying mechanisms related to missing data may impact the findings from survey studies.

OBJECTIVES

The aim of this study was to assess the missing data in studies using the rPATD questionnaire through a systematic review and datasets from two studies.

METHODS

First, this review updated a systematic review on the rPATD (and other versions). We searched Medline via OVID, EMBASE, Scopus, Web of Science until 31st January 2023. Missing data reporting and methods to handle them were collected. Second, data from two deprescribing studies were analyzed using three methods of missing data handling: complete case analysis, personal mean substitution, and multiple imputation. We compared the scores from each domain and the associations of the domains with two questions from the rPATD to highlight how using different methods can influence the interpretation of study findings.

RESULTS

We identified 49 studies: 31 (63 %) from this study and 18 (37 %) from the original systematic review. The question or domain with the most missing data could be identified in 9 studies (18.4 %). Missing data management was reported in 19 studies (38.8 %). In one case analysis, the "Burden" domain was significantly associated with the question "I would like to try stopping one of my medicines to see how I feel without it" using complete case analysis (p = 0.044) or multiple imputation (p = 0.038), but not when using personal mean substitution (p = 0.057).

CONCLUSIONS

Missing data and methods used to handle missing data were underreported in studies using the rPATD questionnaire. The methods should be chosen carefully as our analyses from two distinct studies suggest that they may impact the interpretation of the findings from the questionnaire.

Potentially inappropriate medication use and associated factors in residents of long-term care facilities: A nationwide cohort study

Background: Residents in long-term care (LTC) facilities (LTCFs) may have multimorbidity and be unable to self-administer medication. Thus, due to the risk of potentially inappropriate medications (PIMs), epidemiological studies on PIM use and its associated factors should be conducted to ensure safe medication use for residents in LTCFs. Objective: We evaluated PIM use among residents of LTCF and the associated factors in residents of LTCFs in Korea using a nationwide database. Methods: This cross-sectional study used the Korea National Health Insurance Service Senior Cohort (KNHIS-SC) database 2.0 of the National Health Insurance Service (NHIS), a single public insurer in Korea. We analyzed older adults aged ≥65 years who were residents of LTCFs in 2018, using the KNHIS-SC database. The 2019 American Geriatrics Society (AGS) Beers criteria was used for PIM identification. The prevalence of PIM use was defined as the proportion of LTCF residents who received PIM prescriptions at least once. We evaluated the frequency of prescriptions, including PIMs, and determined the most frequently used PIMs. We also conducted a multivariable logistic regression analysis to identify the factors associated with PIM use. Results: The prevalence of PIM among the LTCF residents was 81.6%. The prevalence of PIM was 74.9% for LTC grades 1 or 2 (high dependence) and 85.2% for LTC grades 3-5 (low dependence). Quetiapine was the most frequently prescribed PIM, followed by chlorpheniramine. The low dependence level was significantly associated with PIM use (odds ratio of LTC grades 3-5: 1.49, 95% confidence interval 1.32-1.68, reference: LTC grades 1 or 2); moreover, the number of medical institutions visited, and medications emerged as primary influencing factors. Conclusion: Most LTCF residents were vulnerable to PIM exposure. Furthermore, exposure to PIMs is associated with LTC grade. This result highlights the need for comprehensive medication management of LTCF residents.