Assessing polypharmacy in the older population: Comparison of a self-reported and prescription based method

Linking health survey data with health insurance data: methodology, challenges, opportunities and recommendations for public health research. An experience from the HISlink project in Belgium

In recent years, the linkage of survey data to health administrative data has increased. This offers new opportunities for research into the use of health services and public health. Building on the HISlink use case, the linkage of Belgian Health Interview Survey (BHIS) data and Belgian Compulsory Health Insurance (BCHI) data, this paper provides an overview of the practical implementation of linking data, the outcomes in terms of a linked dataset and of the studies conducted as well as the lessons learned and recommendations for future links.Individual BHIS 2013 and 2018 data was linked to BCHI data using the national register number. The overall linkage rate was 92.3% and 94.2% for HISlink 2013 and HISlink 2018, respectively. Linked BHIS-BCHI data were used in validation studies (e.g. self-reported breast cancer screening; chronic diseases, polypharmacy), in policy-driven research (e.g., mediation effect of health literacy in the relationship between socioeconomic status and health related outcomes, and in longitudinal study (e.g. identifying predictors of nursing home admission among older BHIS participants). The linkage of both data sources combines their strengths but does not overcome all weaknesses.The availability of a national register number was an asset for HISlink. Policy-makers and researchers must take initiatives to find a better balance between the right to privacy of respondents and society's right to evidence-based information to improve health. Researchers should be aware that the procedures necessary to implement a link may have an impact on the timeliness of their research. Although some aspects of HISlink are specific to the Belgian context, we believe that some lessons learned are useful in an international context, especially for other European Union member states that collect similar data.

Polypharmacy and Excessive Polypharmacy Among Persons Living with Chronic Pain: A Cross-Sectional Study on the Prevalence and Associated Factors

Purpose

Polypharmacy can be defined as the concomitant use of ≥5 medications and excessive polypharmacy, as the use of ≥10 medications. Objectives were to (1) assess the prevalence of polypharmacy and excessive polypharmacy among persons living with chronic pain, and (2) identify sociodemographic and clinical factors associated with excessive polypharmacy.

Patients and Methods

This cross-sectional study used data from 1342 persons from the ChrOnic Pain trEatment (COPE) Cohort (Quebec, Canada). The self-reported number of medications currently used by participants (regardless of whether they were prescribed or taken over-the-counter, or were used for treating pain or other health issues) was categorized to assess polypharmacy and excessive polypharmacy.

Results

Participants reported using an average of 6 medications (median: 5). The prevalence of polypharmacy was 71.4% (95% CI: 69.0-73.8) and excessive polypharmacy was 25.9% (95% CI: 23.6-28.3). No significant differences were found across gender identity groups. Multivariable logistic regression revealed that factors associated with greater chances of reporting excessive polypharmacy (vs <10 medications) included being born in Canada, using prescribed pain medications, and reporting greater pain intensity (0-10) or pain relief from currently used pain treatments (0-100%). Factors associated with lower chances of excessive polypharmacy were using physical and psychological pain treatments, reporting better general health/physical functioning, considering pain to be terrible/feeling like it will never get better, and being employed.

Conclusion

Polypharmacy is the rule rather than the exception among persons living with chronic pain. Close monitoring and evaluation of the different medications used are important for all persons, especially those with limited access to care.

Prevalence and factors associated with polypharmacy among patients with rheumatoid arthritis: a single-centre, cross-sectional study

OBJECTIVE

This study aimed to identify factors associated with polypharmacy, including social aspects, among patients with rheumatoid arthritis.

METHODS

We conducted this single-centre, cross-sectional study at a 715-bed regional tertiary care teaching hospital in Japan from 1 September to 30 November 2020. Polypharmacy was defined as having five or more medications administered orally regularly, and excessive polypharmacy was defined as having 10 or more medications administered orally regularly. The prevalence of polypharmacy and excessive polypharmacy, distribution of medication types, and factors associated with polypharmacy and excessive polypharmacy were investigated among patients with rheumatoid arthritis.

RESULTS

The proportions of polypharmacy and excessive polypharmacy were 61% and 15%, respectively, in 991 patients. Polypharmacy and excessive polypharmacy were associated with older age (odds ratio, 1.03 and 1.03, respectively), high Health Assessment Questionnaire Disability Index (odds ratio, 1.45 and 2.03, respectively), medication with glucocorticoids (odds ratio, 5.57 and 2.42, respectively), high Charlson comorbidity index (odds ratio, 1.28 and 1.36, respectively), and a history of hospitalisation in internal medicine (odds ratio, 1.92 and 1.87, respectively) and visits to other internal medicine clinics (odds ratio, 2.93 and 2.03, respectively). Moreover, excessive polypharmacy was associated with the presence of public assistance (odds ratio, 3.80).

CONCLUSIONS

Considering that polypharmacy and excessive polypharmacy are associated with a history of hospitalisation and glucocorticoid medication in patients with rheumatoid arthritis, medications during hospitalisation should be monitored, and glucocorticoids should be discontinued. Key points • The proportion of polypharmacy (five or more medications administered orally regularly) was 61%. • The proportion of excessive polypharmacy (10 or more medications administered orally regularly) was 15%. • Medications during hospitalisation should be reviewed and examined, and glucocorticoids should be discontinued.