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. 2021 Jan 26;36(11):3604–3607. doi: 10.1007/s11606-020-06477-8

Regional Variation in Fracture-Associated Prescription Drug Use and Hip Fractures in Long-Term Care: an Observational Study

Rebecca T Emeny 1,✉, John A Batsis 2, Nancy E Morden 3,✉
PMCID: PMC8606503  PMID: 33501524

INTRODUCTION

We previously demonstrated that concurrent exposure to three or more fracture-associated drugs (FADs) increases individual fracture risk up to 4-fold.1 Moreover, intensity of FAD exposure in long-term care (LTC) is twice that of community-dwelling Medicare beneficiaries.2 To advance knowledge of the impact of intense prescribing as potential iatrogenic risk, we explore regional variation of prescription drug use intensity and its association with hip fracture rates among LTC residents. We examined intensity of prescription use categorized as total, or FAD and non-FAD in LTC beneficiaries across Hospital Referral Regions (HRRs), and we assess the association between this intensity and hip fracture rates. We hypothesize that measuring variation in prescription intensity can identify regions (and LTC facilities) with relatively high use of concurrent FADs; this may inform interventions aimed at improving health outcomes and safety of this vulnerable population.

METHODS

Data Sources and Cohort

We used Medicare Parts A (inpatient) and B (outpatient) administrative data, 2004–2014, and Part D (prescription), 2006–2014, for a 40% random sample of fully enrolled, fee-for-service beneficiaries.1 We identified beneficiaries residing in LTC as those with 50% or more of annual prescription fills dispensed by a LTC pharmacy.3

Hip Fracture and Prescription Drug Receipt

Hip fractures were identified from inpatient claims using International Classification of Diseases, Ninth Revision (ICD-9) Diagnosis Codes.1 Twenty-one distinct FAD groups were assessed including antidepressants, antipsychotics, loop diuretics, proton pump inhibitors (PPIs), and opioids.1 Fill records identified medications received, and “days supply” set duration. For each person day, the status for each FAD group was assigned as exposed or not.

Statistical Analysis

For each HRR (n = 306), we counted receipt of three or more (multiple) total drugs, or categorized as FADs and non-FADs. Descriptive measures of prescription receipt (mean, standard deviation (SD), and range) are presented as % of total person years (%PY) observed among LTC beneficiaries. Logistic regression modelled hip fracture risk associated with HRR-level intensity of multiple drug receipt adjusted for age, sex, and race/ethnicity using SAS software, version 9.4. Fracture risk associated with the highest versus the lowest quintile of population-level drug receipt intensity per HRR is presented as risk ratios (RR) and 95% confidence intervals (CI). Significant associations were considered at p value < 0.05.

RESULTS

We observed 36,409 hip fractures among 1,803,544 person years (422,111 beneficiaries) over 8 years. Across all HRRs, mean ± SD multiple drug receipt, for total, FADs and non-FADs, characterized 58.9 ± 3.4, 44.0 ± 3.6, and 19.4 ± 3.4 %PY observed, respectively. The HRR-level range of multiple FAD receipt was 10.4–28.5 %PY. Regions with the greatest multiple FAD use intensity were in the southeast; Gulfport and Oxford, MS, Alexandria and Monroe, LA and Miami, FL; low intensity regions were Bronx, NY; Bend, OR; Albuquerque, NM; Honolulu, HI; Sun City, AZ (Fig. 1a, b).

Figure 1.

Figure 1

a Geographic variation of fracture-associated drug use intensity in long-term care Medicare beneficiaries across 306 Hospital Referral Regions (2006–2014): percent of person years with three or more concurrent fracture-associated drugs. b Distribution plot of fracture-associated drug use intensity among 306 Hospital Referral Regions: percent of person years with three or more concurrent fracture-associated drugs with highest and lowest ranked regions identified.

Logistic regression demonstrated modest but significant hip fracture risk associated with HRR-level total drug use intensity, comparing HRRs in the highest versus lowest quintile (OR = 1.13, 95% CI 1.08–1.19, p < 0.001). In models considering FAD and non-FAD HRR-level intensity (Fig. 2), hip fracture was associated with increased intensity of multiple FADs (5th quintile (ref = 1st quintile) OR = 1.14, 95% CI 1.06–1.23, p < 0.001), but not with multiple non-FAD intensity (OR = 0.98, 95% CI 0.92–1.05, p = 0.20).

Figure 2.

Figure 2

Hip fracture rates among long-term care Medicare beneficiaries residing in 306 Hospital Referral Regions (2006–2014) categorized by quintiles of three of more concurrent drug use intensity (percent of person years exposed) for fracture-associated and non-fracture-associated drugs.

We explored specific FADs in regions with high FAD intensity. Compared to beneficiaries residing in HRRs with the lowest multiple FAD receipt rates (1st quintile), those in highest multiple FAD rate HRRs (5th quintile) experienced higher rates of opioids (6.5 vs. 11.8 %PY), PPIs (13.1 vs. 17.2 %PY), loop diuretics (12.7 vs. 16.7 %PY), and SSRIs (17.0 vs 22.2 %PY), respectively. The latter three FADs were common contributors to 2-way concurrent hip fracture risk in this population.2

DISCUSSION

Among Medicare beneficiaries, FAD use in LTC setting varies substantially across US regions, and higher use is associated with hip fracture risk. These findings should prompt exploration of the drivers of both high and low intensity prescribing and should inform development of interventions aimed at maximizing prescribing quality and minimizing harm potentially conferred by FADs.

Use of administrative data has limitations; prescription fills are a proxy for exposure and we cannot assess clinical appropriateness of prescribing. Nevertheless, we provide evidence supporting guidelines to reduce fracture-associated drug use in LTC settings to decrease fractures in this vulnerable population.4

Acknowledgments

The authors wish to thank Atlas Editor, Kristen Bronner, MA, for graphical expertise and Professor Jonathan Skinner, PhD, for review of early manuscript drafts.

Funding

RTE and NEM were supported by the National Institute on Aging: P01 AG019783, Skinner (PI): Causes and Consequences of Healthcare Efficiency. JB was funded in part by the National Institute on Aging of the National Institutes of Health under Award Number K23AG051681.

Compliance with Ethical Standards

The Dartmouth Protection of Human Subjects Committee approved this study.

Conflict of Interest

The authors declare that they do not have a conflict of interest.

Disclaimer

The views expressed in this article are those of the authors and no endorsement by the NIA or the NIH is intended or should be inferred.

Footnotes

Question: How much regional variation exists in the intensity of fracture-associated drug use in the long-term care (LTC) setting, and how is this variation associated with fracture risk?

Findings: In this cohort study, 1.8 million person-years of Medicare data revealed substantial variation in receipt of three or more concurrent fracture-associated drugs, among LTC residents; areas with greater use of fracture-associated drugs experienced higher risk-adjusted fracture rates.

Meaning: Guidelines to reduce fracture-associated drug use in LTC settings could decrease fractures in this vulnerable population.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Rebecca T. Emeny, Email: rebecca.t.emeny@dartmouth.edu.

Nancy E. Morden, Email: Nancy.e.morden@dartmouth.edu.

References

  • 1.Emeny RT, Chang CH, Skinner J, et al. Association of Receiving Multiple, Concurrent Fracture-Associated Drugs With Hip Fracture Risk. JAMA Netw Open. 2019;2(11):e1915348. doi: 10.1001/jamanetworkopen.2019.15348. [DOI] [PMC free article] [PubMed] [Google Scholar]
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  • 3.Harris-Kojetin L, Sengupta M, Park-Lee E, et al. Long-term care providers and services users in the United States:Data from the National Study of Long-Term Care Providers, 2013–2014. Natl Center Health Stat Vital Health Stat. 2016;3(38). [PubMed]
  • 4.By the American Geriatrics Society Beers Criteria Update Expert P American Geriatrics Society 2019 Updated AGS Beers Criteria(R) for Potentially Inappropriate Medication Use in Older Adults. J Am Geriatr Soc. 2019;67(4):674–694. doi: 10.1111/jgs.15767. [DOI] [PubMed] [Google Scholar]

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