Effect of Deintensifying Diabetes Medications on Negative Events in Older Veteran Nursing Home Residents

Deprescribing Opportunities for Frail Residents of Nursing Homes: A Multicenter Study in Australia, China, Japan, and Spain

OBJECTIVE

Deprescribing opportunities may differ across health care systems, nursing home settings, and prescribing cultures. The objective of this study was to compare the prevalence of STOPPFrail medications according to frailty status among residents of nursing homes in Australia, China, Japan, and Spain.

DESIGN

Secondary cross-sectional analyses of data from 4 cohort studies.

SETTING AND PARTICIPANTS

A total of 1142 residents in 31 nursing homes.

METHODS

Medication data were extracted from resident records. Frailty was assessed using the FRAIL-NH scale (non-frail 0-2; frail 3-6; most-frail 7-14). Chi-square tests and prevalence ratios (PRs) were used to compare STOPPFrail medication use across cohorts.

RESULTS

In total, 84.7% of non-frail, 95.6% of frail, and 90.6% of most-frail residents received ≥1 STOPPFrail medication. Overall, the most prevalent STOPPFrail medications were antihypertensives (53.0% in China to 73.3% in Australia, P < .001), vitamin D (nil in China to 52.7% in Australia, P < .001), lipid-lowering therapies (11.1% in Japan to 38.9% in Australia, P < .001), aspirin (13.5% in Japan to 26.2% in China, P < .001), proton pump inhibitors (2.1% in Japan to 32.0% in Australia, P < .001), and antidiabetic medications (12.3% in Japan to 23.5% in China, P = .010). Overall use of antihypertensives (PR, 1.15; 95% CI, 1.06-1.25), lipid-lowering therapies (PR, 1.78; 95% CI, 1.45-2.18), aspirin (PR, 1.31; 95% CI, 1.04-1.64), and antidiabetic medications (PR, 1.31; 95% CI, 1.00-1.72) were more prevalent among non-frail and frail residents compared with most-frail residents. Antihypertensive use was more prevalent with increasing frailty in China and Japan, but less prevalent with increasing frailty in Australia. Antidiabetic medication use was less prevalent with increasing frailty in China and Spain but was consistent across frailty groups in Australia and Japan.

CONCLUSIONS AND IMPLICATIONS

There were overall and frailty-specific variations in prevalence of different STOPPFrail medications across cohorts. This may reflect differences in prescribing cultures, application of clinical practice guidelines in the nursing home setting, and clinician or resident attitudes toward deprescribing.

Validating claims-based definitions for deprescribing: Bridging the gap between clinical and administrative data

BACKGROUND

Limited research has evaluated the validity of claims-based definitions for deprescribing.

OBJECTIVES

Evaluate the validity of claims-based definitions of deprescribing against electronic health records (EHRs) for deprescribing of benzodiazepines (BZDs) after a fall-related hospitalization.

METHODS

We used a novel data linkage between Medicare fee-for-service (FFS) and Part D with our health system's EHR. We identified patients aged ≥66 years with a fall-related hospitalization, continuous enrollment in Medicare FFS and Part D for 6 months pre- and post-hospitalization, and ≥2 BZD fills in the 6 months pre-hospitalization. Using a standardized EHR abstraction tool, we adjudicated deprescribing for a sub-sample with a fall-related hospitalization at UNC. We evaluated the validity of claims-based deprescribing definitions (e.g., gaps in supply, dosage reductions) versus chart review using sensitivity and specificity.

RESULTS

Among 257 patients in the overall sample, 44% were aged 66-74 years, 35% had Medicare low-income subsidy, 79% were female. Among claims-based definitions using gaps in supply, the prevalence of BZD deprescribing ranged from 8.2% (no refills) to 36.6% (30-day gap). When incorporating dosage, the prevalence ranged from 55.3% to 65.8%. Among the validation sub-sample (n = 47), approximately one-third had BZDs deprescribed in the EHR. Compared to EHR, gaps in supply from claims had good sensitivity, but poor specificity. Incorporating dosage increased sensitivity, but worsened specificity.

CONCLUSIONS

The sensitivity of claims-based definitions for deprescribing of BZDs was low; however, the specificity of a 90-day gap was >90%. Replication in other EHRs and for other low-value medications is needed to guide future deprescribing research.

Clinician and Family Caregiver Perspectives on Deprescribing Chronic Disease Medications in Older Nursing Home Residents Near the End of Life

INTRODUCTION

Nursing home (NH) residents with limited life expectancy (LLE) who are intensely treated for hyperlipidemia, hypertension, or diabetes may benefit from deprescribing.

OBJECTIVE

This study sought to describe NH clinician and family caregiver perspectives on key influences on deprescribing decisions for chronic disease medications in NH residents near the end of life.

METHODS

We recruited family caregivers of veterans who recently died in a Veterans Affairs (VA) NH, known as community living centers (CLCs), and CLC healthcare clinicians (physicians, nurse practitioners, physician assistants, pharmacists, registered nurses). Respondents completed semi-structured interviews about their experiences with deprescribing statin, antihypertensive, and antidiabetic medications for residents near end of life. We conducted thematic analysis of interview transcripts to identify key themes regarding influences on deprescribing decisions.

RESULTS

Thirteen family caregivers and 13 clinicians completed interviews. Key themes included (1) clinicians and caregivers both prefer to minimize drug burden; (2) clinical factors strongly influence deprescribing of chronic disease medications, with differences in how clinicians and caregivers weigh specific factors; (3) caregivers trust and rely on clinicians to make deprescribing decisions; (4) clinicians perceive caregiver involvement and buy-in as essential to deprescribing decisions, which requires time and effort to obtain; and (5) clinicians perceive conflicting care from other clinicians as a barrier to deprescribing.

CONCLUSIONS

Findings suggest a need for efforts to encourage communication with and education for family caregivers of residents with LLE about deprescribing, and to foster better collaboration among clinicians in CLC and non-CLC settings.

Impact of deintensifying hypoglycaemic drugs in older adults with type 2 diabetes: protocol for an emulation of a target trial

INTRODUCTION

In older adults with type 2 diabetes (T2D), overtreatment with hypoglycaemic drugs (HDs: sulfonylureas, glinides and/or insulins) is frequent and associated with increased 1-year mortality. Deintensification of HD is thus a key issue, for which evidence is though limited. The primary objective of this study will be to estimate the effect of deintensifying HD on clinical outcomes (hospital admission or death) within 3 months in older adults (≥75 years) with T2D.

METHODS

We will emulate with real-world data a target trial, within The Health Improvement Network cohort, a large-scale database of data collected from electronic medical records of 2000 general practitioners in France. From 1 January 2010 to 28 February 2019, we will include eligible patients ≥75 years who will have T2D, a stable dose of HDs, glycated haemoglobin A1c (HbA1c) value <75 mmol/mol (9.0%) and no deintensification in the past year. The target trial will be sequentially emulated (ie, eligibility assessed) every month in the database. Patients will be classified at baseline of each sequential trial in the intervention arm (deintensification of HDs: decrease of ≥50% in the total dose of HDs, including complete cessation) or control arm (no deintensification of HDs). The pooled dataset for all sequential emulated trials will be analysed. The primary outcome will be time to first occurrence of hospital admission or death, within 3 months. Secondary outcomes will be hospitalisation, death, appropriateness of glycaemic control and occurrence of HbA1c >75 mmol/mol within 1 year. Participants will be followed from baseline to 12 months after randomisation, administrative censoring, or death, whichever occurs first. A pooled logistic regression will be used to estimate the treatment effect on the incidence of the outcomes.

DISSEMINATION AND ETHICS

No ethical approval is needed for using retrospectively this fully anonymised database. The results will be disseminated during conferences and through publications in scientific journals.