Dataset Information

Potentially inappropriate medications (PIMs): frequency and extent of GP-related variation in PIMs: a register-based cohort study.

ABSTRACT:

Objectives

Potentially inappropriate medications (PIMs) pose an increasing challenge in the ageing population. We aimed to assess the extent of PIMs and the prescriber-related variation in PIM prevalence.

Design

Nationwide register-based cohort study.

Setting

General practice.

Participants

The 4.2 million adults listed with general practitioner (GP) clinics in Denmark (n=1906) in 2016.

Main outcome measures

We estimated the patients' time with PIMs by using 29 register-operationalised STOPP criteria linking GP clinics and redeemed prescriptions. For each criterion and each GP clinic, we calculated ratios between the observed PIM time and that predicted by multivariate Poisson regressions on the patients. The observed variation was measured as the 90th/10th percentile ratios of these ratios. The extent of expectable random variation was assessed as the 90th/10th percentile ratios in randomly sampled GP populations (ie, the sampled variation). The GP-related excess variation was calculated as the ratio between the observed variation and sampled variation. The linear correlation between the observed/expected ratio for each of the criteria and the observed/expected ratio of total PIM time (for each clinic) was measured by Pearson's rho.

Results

Overall, 294 542 individuals were exposed to 1 44 117 years of PIMs. The two most prevalent PIMs were long-term use (>3 months) of non-steroidal anti-inflammatory drugs (51 074 years of PIMs) or benzodiazepines (48 723 years of PIMs). These two criteria showed considerable excess variation of 2.33 and 3.05, respectively; for total PIMs, this figure was 1.65. For more than half of the criteria, we observed a positive correlation between the specific PIM and the sum of remaining PIMs.

Conclusions

This study documents considerable variations in the prescribing practice of GPs for certain PIMs. These findings highlight a need for exploring the causal explanations for such variations, which could be markers of suboptimal GP-prescribing strategies.

SUBMITTER: Ribe AR

PROVIDER: S-EPMC8280898 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Background/objectivesTo examine the prevalence of potentially inappropriate medication (PIM) prescribing and its association with healthcare utilization and related expenditures utilizing nationally representative data from the United States.DesignRetrospective cohort study.SettingThe 2011-2015 Medical Expenditure Panel Survey (MEPS).ParticipantsCommunity-dwelling sample of U.S. adults aged 65 and older during the first round of each MEPS cycle.MeasurementsA qualified definition operationalized from the 2019 American Geriatrics Society Beers Criteria® was used to estimate the prevalence of PIM prescribing over the study period. Negative binomial models were assembled to examine associations between PIM exposure and healthcare utilization including hospitalizations, emergency department (ED) visits, and outpatient provider visits. Generalized linear models with the log link function and gamma distribution were used to analyze associations between PIM exposure and healthcare expenditures. Sensitivity analyses were conducted utilizing inverse probability treatment weighting using propensity scores for being prescribed a PIM.ResultsThe period prevalence of PIM prescribing over the 5-year sample was 34.4%. PIM prescribing was positively associated with hospitalizations (adjusted incidence rate ratio [aIRR] = 1.17; 95 confidence interval [CI] = 1.08-1.26; P < .001), ED visits (aIRR = 1.26; 95% CI = 1.17-1.35; P < .001), and outpatient provider visits (aIRR = 1.18; 95% CI = 1.14-1.21; P < .001). PIM exposure was associated with higher marginal costs within outpatient visits ($116; 95% CI = $105-$243; P < .001), prescription medications ($128; 95% CI = $72-$199; P < .001), and total healthcare expenditures ($458; 95% CI = $295-$664; P < .001). Similar results were found in our propensity score analyses.ConclusionPIMs continue to be prescribed at a high rate among older adults in the United States. Our results suggest that receipt of PIMs is associated with higher rates of healthcare utilization and increased costs across the healthcare continuum. Further work is needed to implement evidence-based deprescribing interventions that may in turn reduce unnecessary healthcare utilization.

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