Abstract
Objective
To determine the prevalence of benzodiazepine use in adults aged 65 and older at two West Virginia academic medical centers as phase one of a benzodiazepine deprescribing strategy.
Design
Cross-sectional
Setting
Two academic hospitals in West Virginia with 107,504 hospitalized adults age 65 and older from the years 2010 to 2018 with information on admission medication use.
Measurements
Use of benzodiazepines based on presence on the admission medication list. Demographics, select co-morbidities, and laboratory tests were also recorded.
Results
The prevalence of benzodiazepine use was 13.5% and use remained relatively constant with increasing age over 65, even in those over age 89.
Conclusion
Efforts aimed at assessing the true need for benzodiazepine use and deprescribing need to be employed, particularly with advancing age.
Keywords: prevalence, benzodiazepines, geriatrics, appalachian region
Introduction
While the nation has appropriately focused on the opioid overprescribing crisis, benzodiazepine overuse is another class of potentially harmful medication that has quietly become pervasively problematic. Benzodiazepines have a less deadly profile than opioids but can cause numerous serious problems, especially among the older population. Despite these problems, benzodiazepine prescriptions written in primary care settings continue to rise dramatically [1].
Rational pharmacotherapy for older patients takes multiple factors into account, including comorbidities, polypharmacy, fitness versus frailty, compliance, age-dependent pharmacokinetics/pharmacodynamics, and drug-drug interactions [2-5]. Known dangers of benzodiazepines for older patients include lethargy, increased confusion, increased risk of falls and fractures, significant impairment of driving skills with increased crash risk, and increased risk of an emergency room visit [6-11]. Long-term benzodiazepine use fosters dependence and exposure to potentially serious consequences, such as withdrawal-induced delirium, seizures, and death. There is also evidence, albeit somewhat conflicting, that long-term use of benzodiazepines will increase the risk of dementia [12-13]. The above risk factors can be further exacerbated by the combined use of other drugs, particularly alcohol and opiates. For these reasons, benzodiazepines have been on the Beers List® of suggested drugs to avoid in older people since its first iterations in the 1990s, and they remain on the newest update to the list in 2019 [14].
Despite these risks, recent studies in adults have demonstrated nearly a doubling of primary care office visits nationally between 2003 and 2015 in which a benzodiazepine was prescribed (3.8% to 7.4%) [15] and a high frequency (29.5%) of hospitalized patients receiving at least one benzodiazepine during hospitalization [16].
Older adults in general are quite willing to allow their doctor to deprescribe other medications to simplify their medication regimen or to cut costs, but agreeing to cut benzodiazepines is often met with reluctance. Some of the reasons older patients state they resist a reduction in benzodiazepine use include fear of a return of anxiety that is perceived to be well-controlled by long-term benzodiazepine use, lack of perceived harm, fear of worsening insomnia, and the perceived need for continued access to benzodiazepines to cope with anxiety-provoking social situations. Reasons for failure in attempting to deprescribe benzodiazepines in a study of 261 older chronic users [17] included a lack of support from a healthcare provider, a focus on short-term quality of life, intolerance to withdrawal symptoms, and perceived poor health. Reducing the prevalence of use in elders, therefore, requires a two-pronged approach: 1) reducing new prescriptions for benzodiazepines going forward through education and regulatory oversight of prescribers, and 2) deprescribing current benzodiazepine usage. Deprescribing requires a long-term sustained effort to educate consumers and providers about the dangers of benzodiazepine use with advancing age, the availability of suitable alternative strategies for coping with anxiety and insomnia, and the reassurance that the deprescribing process will be carried out cautiously at a pace they can tolerate with adequate ongoing support during this time-dependent process. This latter point is often missing from many prescribers' attempts to deprescribe benzodiazepines because they misperceive the intensity of the heightened anxiety in the patients who perceive they are dependent upon them for normal function. Furthermore, intervals between deprescribing follow-up visits often leave the patient feeling alone with their fears of overwhelming anxiety or insomnia without adequate back-up. Deprescribing must be seen as a process, not a discrete event, with allowances made for more frequent follow-up encounters, whether this is in person, by phone, or virtually.
Educating prescribers about the appropriate use of benzodiazepines in clinical practice should begin in medical school and be augmented by continuing education throughout the prescriber’s career. Some health system formularies track benzodiazepine prescriptions for elders as part of physician quality performance evaluations. These programs act as appropriate disincentives for prescribing benzodiazepines for elders and incentives for deprescribing. Systematic deprescribing efforts that have also been studied with reasonable success rates, such as in the Eliminating Medications Through Patient Ownership of End Results (EMPOWER) study [18-20], require sustained psycho-education for consumers over a period of months to succeed in winning the trust of the patient. This is coupled with offers of alternative strategies, such as SSRI use for anxiety control, improved sleep hygiene, and safer medication strategies for insomnia. Successful deprescribing requires that physicians adopt a long-term sustained effort that is often difficult to achieve in a typical office practice. This may leave physicians frustrated and nihilistic about the chances of achieving the desired clinical outcomes. Success can be jeopardized by taking an abrupt stance of too rapid discontinuation or refusal to refill benzodiazepine prescriptions. These approaches often backfire when patients show withdrawal complications or consumers revert to access benzodiazepines in other ways as the critical buy-in to the deprescribing process was never achieved.
Recent data show a higher prevalence of benzodiazepine use in the Appalachian region compared to the national average. The Appalachian region also has a higher proportion of older residents compared to the general population [21]. For these reasons, intervention strategies intended to reduce benzodiazepine usage are particularly important. Marshall University and West Virginia University, taken together, are geographically representative of the entire state of West Virginia. Therefore, the two institutions undertook a collaborative effort with grant support from the Claude Worthington Benedum Foundation and the West Virginia Higher Education Policy Commission to forge a two-pronged effort to 1) further delineate the extent of benzodiazepine use and 2) to develop and test strategies for improving quality of life by reducing benzodiazepine usage in elders. In order to ascertain if intensified deprescribing programs in our region are warranted, we began by analyzing data from hospitalized adults aged 65 years and older and contrasted this data with comparative national rates.
Materials and methods
We evaluated a cross-section of all adults aged 65 years and over from their first admission to our academic hospitals (n: 107,504) in Huntington and Morgantown, West Virginia from the years 2010 to 2018. All data were de-identified and obtained from each respective institution’s data warehouse. Our study was approved by the Marshall University Institutional Review Board.
We collected demographic information, including age, gender, and insurance type (none, Medicare, Medicaid, and private). Patients over 89 years of age were assigned the average age for that age group to protect their identity. We collected information on the following diagnoses: dementia, Alzheimer’s dementia, diabetes, and hypertension. We additionally collected laboratory information on serum albumin (gm/dL), hemoglobin (gm/dL), and serum creatinine (gm/dL) as additional measures of health status. We recorded total hospital charges, hospital length of stay, whether or not the patient required the intensive care unit (ICU), and in-hospital mortality.
Benzodiazepine use upon hospital admission was considered to be present if any of the following benzodiazepines were identified on the home medication list: alprazolam, chlordiazepoxide, clonazepam, clorazepate, diazepam, flurazepam, lorazepam, oxazepam, quazepam, temazepam, or triazolam. Benzodiazepine use was grouped together and recorded dichotomously as either present or absent on the home medication list.
All variables were described using simple descriptive statistics. We assessed the normality of our continuous variables graphically and with the Shapiro Wilk test. We compared all study variables for those with and without benzodiazepine use on admission using chi-square for categorical variables and the Student’s t-test for continuous variables (Wilcoxon Rank Sum if non-normal distribution). All other comparisons were made using the same statistics. We adjusted mortality rates for age and gender using multiple logistic regression. We evaluated the prevalence of benzodiazepine use by age category using multiple logistic regression with the lowest age category as the referent. All analyses were performed using the Stata software, version 16.0 (StataCorp LLC, College Station, Texas, USA).
Results
We identified 107,504 unique patients aged 65 years and over admitted to our hospitals from 2010 to 2018 with admission medication history available. Patients were an average of 75.5 years old and the majority were female (Table 1). The prevalence of diabetes (41.2%), hypertension (86.6%), and dementia (28.2%) were what was expected for this population. A specific diagnosis of Alzheimer’s dementia was present in 3.8%. The mean values of serum creatinine, hemoglobin, and albumin were within the normal range. A total of 11.7% of patients required an ICU stay during their admission. Finally, 13.5% of all patients reported home use of a benzodiazepine.
Table 1. Baseline Characteristics of 107,504 Hospitalized Adults Age 65 Years and Older.
Characteristic | N = 107,504 |
Age, mean years (SD) | 75.50 (7.66) |
Gender, % male | 44.84 (48,200) |
Insurance Type | |
Medicare, % (n) | 77.74 (83,573) |
Private, % (n) | 21.14 (22,723) |
Medicaid, % (n) | 0.58 (624) |
None, % (n) | 0.54 (584) |
Diabetes, % (n) | 41.18 (44,274) |
Hypertension, % (n) | 86.62 (93,118) |
Dementia, % (n) | 28.24 (30,357) |
Alzheimer’s, % (n) | 3.75 (4,033) |
Serum creatinine (gm/dL), mean (SD) | 1.35 (1.18) |
Serum hemoglobin (gm/dL), mean (SD) | 12.14 (2.22) |
Serum albumin (gm/dL), mean (SD) | 3.34 (0.71) |
Length of stay, median days, (IQR) | 3.0 (4.0) |
Total hospital charges, median (IQR) | $34,156 ($41,800) |
Intensive care unit, % (n) | 11.70 (12,575) |
In-hospital mortality, % (n) | 4.20 (4,519) |
Benzodiazepine on admission, % (n) | 13.46 (14,467) |
We compared all study variables by reported home use of a benzodiazepine (Table 2). Those with benzodiazepine use were slightly younger (75.24 benzodiazepine vs. 75.54 years no benzodiazepine; p < 0.001) and more likely to be female (65.4% benzodiazepine vs. 53.6% no benzodiazepine; p < 0.001). Home use of a benzodiazepine was significantly different for those with diabetes and hypertension, although these differences were small. Benzodiazepine use was significantly higher in those with dementia (33.5% vs. 27.4%; p < 0.001) and Alzheimer’s (5.5% vs. 3.5%; p < 0.001) compared to those without dementia and Alzheimer's (all p < 0.001). There were minor clinical differences in the mean values of serum hemoglobin, creatinine, and albumin, although these differences were statistically different due to the large sample size. Median length of stay (4.0 vs. 3.0 days; p < 0.001) and median total hospital charges ($34,689 vs. $34,080; p = 0.03) were higher in those with reported home benzodiazepine use. An admission requiring an ICU stay was higher in those with benzodiazepine use (12.5 vs. 11.6%; p = 0.001). Finally, crude in-hospital mortality was slightly lower for those with reported home use of benzodiazepines (3.8 vs. 4.3%; p = 0.006). However, when in-hospital mortality rates were adjusted for age and gender, the rates were similar for those with and without benzodiazepine use (3.9 vs. 4.2%; p = 0.11).
Table 2. Characteristics of 107,504 Hospitalized Adults Age 65 and Older by Reported Home Benzodiazepine Use.
Characteristic | Benzodiazepine (N = 14,467) | No Benzodiazepine (N = 93,037) | P-value |
Age, mean years (SD) | 75.24 (7.60) | 75.54 (7.67) | < 0.001 |
Gender | |||
Female, % (n) | 65.39 (9,460) | 53.57 (49,844) | < 0.001* |
Male, % (n) | 34.61 (5,007) | 46.43 (43,193) | |
Insurance | |||
Medicare, % (n) | 80.58 (11,657) | 77.30 (71,916) | < 0.001* |
Private, % (n) | 18.55 (2,683) | 21.54 (20,040) | |
Medicaid, % (n) | 0.47 (68) | 0.60 (556) | |
None, % (n) | 0.41 (59) | 0.56 (525) | |
Diabetes, % (n) | 39.83 (5,762) | 41.39 (38,512) | < 0.001 |
Hypertension, % (n) | 87.29 (12,628) | 86.51 (80,490) | 0.01 |
Dementia, % (n) | 33.48 (4,844) | 27.42 (25,513) | < 0.001 |
Alzheimer’s, % (n) | 5.50 (795) | 3.48 (3,238) | < 0.001 |
Serum creatinine (gm/dL), mean (SD) | 1.29 (1.10) | 1.36 (1.19) | < 0.001 |
Serum hemoglobin (gm/dL), mean (SD) | 12.02 (2.15) | 12.16 (2.23) | < 0.001 |
Serum albumin (gm/dL), mean (SD) | 3.39 (0.69) | 3.33 (0.71) | < 0.001 |
Length of Stay, median days (IQR) | 4.0 (5.0) | 3.0 (4.0) | < 0.001 |
Total hospital charges, median dollars (IQR) | $34,689 ($44,043) | $34,080 ($41,539) | 0.03 |
Intensive care unit, % (n) | 12.5 (1,809) | 11.6 (10,766) | 0.001 |
In-hospital mortality, % (n) | 3.78 (547) | 4.27 (3,972) | 0.006 |
We examined the effects of age on reported home use of benzodiazepines (Figure 1). Although there are some subtle differences in percent benzodiazepine use when comparing the older age categories to the baseline category of 65 - 69, for the most part, use was not much different by age category with reported use over 10% for each age category.
Discussion
We found that the prevalence of benzodiazepine use, based on reported home medications at the time of admission in hospitalized adults aged 65 years and older, was 13.5%. Women and those with dementia, including Alzheimer’s dementia, were much more likely to report the use of a benzodiazepine. Reported benzodiazepine use on admission was associated with a longer length of stay and a higher likelihood of admission to the ICU. Importantly, and unfortunately, the prevalence of benzodiazepine use did not decline with increasing age.
This study demonstrated the linkage of benzodiazepine use with multiple factors, many of which are known, but two of these, in particular, seem to demand a closer look. The first is the association of benzodiazepine use with dementia and Alzheimer’s dementia, in particular. Other studies have shown similar findings with the association being strongest with long-term benzodiazepine use [12-13, 22]. Although several mechanisms for such an effect have been proposed, there is no specific evidence for causality. It may simply be that patients with dementia are perceived by some providers to need the potent sedative and anxiolytic properties of benzodiazepines.
The second factor which begs attention is the high overall use rate of benzodiazepines. Our overall prevalence rate (13.5%) is consistent with other studies [16, 23-25]. Similar studies have demonstrated that benzodiazepine use is increasing and that a large number of older patients receive benzodiazepine during hospitalization [15, 26]. This is particularly concerning given that new benzodiazepine prescriptions given to older patients at hospital discharge may lead to chronic benzodiazepine use [27]. Furthermore, we found that the prevalence of benzodiazepine use did not decline with advancing age over 65. Even those in the highest age category and the most vulnerable to the effects of a sedative-hypnotic had a reported prevalence of 11.9% for benzodiazepine use.
We did not find a higher incidence of benzodiazepine prescribing in this Appalachian population when compared to previously reported studies of diverse populations. While the region has been fraught with the problems associated with the overuse of opioids, alone and in combination with other drugs (which are often benzodiazepines), the actual prescribing of these medications seem to be on par with other regions.
Our study supports previously described associations and corroborates some concerning trends with benzodiazepine use in older adults. Many previous studies have demonstrated numerous adverse effects of this class of drugs in older adults, including a potential link to dementia [4-13]. Given these demonstrated associations of adverse effects, there is at least some concern that we may be causing harm by prescribing benzodiazepines. Therefore, efforts should be aimed at assessing the true need for benzodiazepine use and deprescribing when possible, particularly in the older patient population.
There are several limitations to our study. First and foremost, this is a cross-sectional study, and any associations identified are based upon the prevalence of benzodiazepine use. However, determining the prevalence of benzodiazepine use was the major goal of our study. Second, we did not try to examine the type of benzodiazepine or the dose of the benzodiazepine, but rather we looked at benzodiazepines as a class of drugs since our focus was on the prevalence of the use of this drug class in older adults. Third, we did not attempt to verify the admission medication list, and therefore, potential reporting errors could have occurred. However, we believe most errors on the admission medication identification would be that of omission [28], which would likely result in underreporting of benzodiazepine use; therefore, the prevalence rate that we identified would be at least at the minimum. Fourth, our patient population was from hospitalized older adults in the Appalachian region and, therefore, may not be generalizable. Also, hospitalized patients may represent a subpopulation more likely to be prescribed a benzodiazepine. Finally, we utilized a large dataset from data warehouses for our study, and analyses of large datasets are associated with several issues, such as overinterpretation of results based on p-values instead of effect size [29]. However, we were careful to point out important differences based more on effect size because most of our differences were significant at a two-tailed probability of less than 5%.
Conclusions
We found that benzodiazepine use in the Appalachian region is similar to national rates of benzodiazepine use and that prevalence rates of use remain about the same with advancing age. Given the known adverse effects of this drug class, particularly in the elderly, efforts should be aimed at a rigorous assessment of the true need for a benzodiazepine, along with the implementation of deprescribing practices for existing benzodiazepine users.
Acknowledgments
The authors would like to thank Dr. Alfred Cecchetti and Dr. Niharika Bhardwaj from the Appalachian Center for Translational Science Institute at the Joan C. Edwards School of Medicine and Mr. Matthew Armistead from the West Virginia Clinical and Translational Science Institute for assistance with data definitions and acquisition. Dr. Shirley Neitch is the Emeritus Maier Professor of Medicine at the Joan C. Edwards School of Medicine, and Dr. Mark Miller is the Dana Farnsworth Endowed Chair of Education in Psychiatry. This study was supported by grants from the Claude Worthington Benedum Foundation (20160233) and the West Virginia Higher Education Policy Commission (2018-RHI-6).
The content published in Cureus is the result of clinical experience and/or research by independent individuals or organizations. Cureus is not responsible for the scientific accuracy or reliability of data or conclusions published herein. All content published within Cureus is intended only for educational, research and reference purposes. Additionally, articles published within Cureus should not be deemed a suitable substitute for the advice of a qualified health care professional. Do not disregard or avoid professional medical advice due to content published within Cureus.
The authors have declared that no competing interests exist.
Human Ethics
Consent was obtained by all participants in this study. Marshall University Institutional Review Board issued approval 1162575. In accordance with 45CFR46.110(a)(5), the above study and informed consent were granted expedited approval by the Marshall University Institutional Review Board #1 (Medical) Chair for the period of 12 months. The project is under continuing review, and approval will expire on January 22, 2021. The approval also includes the Waiver of Informed Consent and the HIPAA Waiver.
Animal Ethics
Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue.
References
- 1.National trends in antidepressant, benzodiazepine, and other sedative-hypnotic treatment of older adults in psychiatric and primary care. Maust DT, Blow FC, Wiechers IR, Kales HC, Marcus SC. J Clin Psychiatry. 2017;78:0. doi: 10.4088/JCP.16m10713. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Computerized decision support improves medication review effectiveness: an experiment evaluating the STRIP assistant's usability. Meulendijk MC, Spruit MR, Drenth-van Maanen AC, Numans ME, Brinkkemper S, Jansen PA, Knol W. Drugs Aging. 2015;32:495–503. doi: 10.1007/s40266-015-0270-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.The elimination half-life of benzodiazepines and fall risk: two prospective observational studies. de Vries OJ, Peeters G, Elders P, Sonnenberg C, Muller M, Deeg DJ, Lips P. Age Ageing. 2013;42:764–770. doi: 10.1093/ageing/aft089. [DOI] [PubMed] [Google Scholar]
- 4.Medication prescribing in frail older people. Hubbard RE, O'Mahony MS, Woodhouse KW. Eur J Clin Pharmacol. 2013;69:319–326. doi: 10.1007/s00228-012-1387-2. [DOI] [PubMed] [Google Scholar]
- 5.Number and dosage of central nervous system medications on recurrent falls in community elders: the Health, Aging and Body Composition study. Hanlon JT, Boudreau RM, Roumani YF, et al. J Gerontol A Biol Sci Med Sci. 2009;64:492–498. doi: 10.1093/gerona/gln043. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Benzodiazepines and Z-drugs: an updated review of major adverse outcomes reported on in epidemiologic research. Brandt J, Leong C. Drugs R D. 2017;17:493–507. doi: 10.1007/s40268-017-0207-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.A 5-year prospective assessment of the risk associated with individual benzodiazepines and doses in new elderly users. Tamblyn R, Abrahamowicz M, du Berger R, McLeod P, Bartlett G. J Am Geriatr Soc. 2005;53:233–241. doi: 10.1111/j.1532-5415.2005.53108.x. [DOI] [PubMed] [Google Scholar]
- 8.Benzodiazepines and elderly drivers: a comparison of pharmacoepidemiological study designs. Hebert C, Delaney JA, Hemmelgarn B, Lévesque LE, Suissa S. Pharmacoepidemiol Drug Saf. 2007;16:845–849. doi: 10.1002/pds.1432. [DOI] [PubMed] [Google Scholar]
- 9.Emergency department visits involving nonmedical use of selected prescription drugs in the United States, 2004-2008. Cai R, Crane E, Poneleit K, Paulozzi L. J Pain Palliat Care Pharmacother. 2010;24:293–297. doi: 10.3109/15360288.2010.503730. [DOI] [PubMed] [Google Scholar]
- 10.Chronic use of benzodiazepines and latent cognitive decline in the elderly: results from the Three-city study. Mura T, Proust-Lima C, Akbaraly T, et al. Eur Neuropsychopharmacol. 2013;23:212–223. doi: 10.1016/j.euroneuro.2012.05.004. [DOI] [PubMed] [Google Scholar]
- 11.A systematic review of opioid and benzodiazepine misuse in older adults. Maree RD, Marcum ZA, Saghafi E, Weiner DK, Karp JF. Am J Geriatr Psychiatry. 2016;24:949–963. doi: 10.1016/j.jagp.2016.06.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Benzodiazepine use and risk of dementia: prospective population based study. Billioti de Gage S, Bégaud B, Bazin F, et al. BMJ. 2012;345:0. doi: 10.1136/bmj.e6231. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Benzodiazepine use and risk of incident dementia or cognitive decline: prospective population based study. Gray SL, Dublin S, Yu O, et al. BMJ. 2016;352:0. doi: 10.1136/bmj.i90. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.American Geriatrics Society 2019 updated AGS Beers Criteria® for potentially inappropriate medication use in older adults. 2019 American Geriatrics Society Beers Criteria® Update Expert Panel. J Am Geriatr Soc. 2019;67:674–694. doi: 10.1111/jgs.15767. [DOI] [PubMed] [Google Scholar]
- 15.Patterns in outpatient benzodiazepine prescribing in the United States. Agarwal SD, Landon BE. JAMA Netw Open. 2019;2:0. doi: 10.1001/jamanetworkopen.2018.7399. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.High prevalence of prescription of psychotropic drugs for older patients in a general hospital. Arnold I, Straube K, Himmel W, et al. BMC Pharmacol Toxicol. 2017;18:76. doi: 10.1186/s40360-017-0183-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.A realist evaluation of patients' decisions to deprescribe in the EMPOWER trial. Martin P, Tannenbaum C. BMJ Open. 2017;7:0. doi: 10.1136/bmjopen-2017-015959. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Deprescribing: what is it and what does the evidence tell us? Thompson W, Farrell B. Can J Hosp Pharm. 2013;66:201–202. doi: 10.4212/cjhp.v66i3.1261. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Reduction of inappropriate benzodiazepine prescriptions among older adults through direct patient education: the EMPOWER cluster randomized trial. Tannenbaum C, Martin P, Tamblyn R, Benedetti A, Ahmed S. JAMA Intern Med. 2014;174:890–898. doi: 10.1001/jamainternmed.2014.949. [DOI] [PubMed] [Google Scholar]
- 20.Use of the EMPOWER brochure to deprescribe sedative-hypnotic drugs in older adults with mild cognitive impairment. Martin P, Tannenbaum C. BMC Geriatr. 2017;17:37. doi: 10.1186/s12877-017-0432-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Pollard K, Jacobson LA. Vol. 4. Washington, DC: Population Reference Bureau; 2018. The Appalachian Region: A Data Overview from the 2012-2016 American Community Survey; p. 139. [Google Scholar]
- 22.Association between benzodiazepine use and dementia: a meta-analysis. Zhong G, Wang Y, Zhang Y, Zhao Y. PloS One. 2015;10:0. doi: 10.1371/journal.pone.0127836. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Long-term continuous use of benzodiazepines by older adults in Quebec: prevalence, incidence and risk factors. Egan M, Moride Y, Wolfson C, Monette J. J Am Geriatr Soc. 2000;48:811–816. doi: 10.1111/j.1532-5415.2000.tb04758.x. [DOI] [PubMed] [Google Scholar]
- 24.Prevalence, frequency, and duration of hypnotic drug use among the elderly living at home. Morgan K, Dallosso H, Ebrahim S, Arie T, Fentem PH. Br Med J (Clin Res Ed) 1988;296:601–602. doi: 10.1136/bmj.296.6622.601. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Benzodiazepine anti-anxiety agents: prevalence and correlates of use in a southern community. Swartz M, Landerman R, George LK, Melville ML, Blazer D, Smith K. Am J Public Health. 1991;81:592–596. doi: 10.2105/ajph.81.5.592. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.No end in sight: benzodiazepine use in older adults in the United States. Maust DT, Kales HC, Wiechers IR, Blow FC, Olfson M. J Am Geriatr Soc. 2016;64:2546–2553. doi: 10.1111/jgs.14379. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Initiation of benzodiazepines in the elderly after hospitalization. Bell CM, Fischer HD, Gill SS, et al. J Gen Intern Med. 2007;22:1024–1029. doi: 10.1007/s11606-007-0194-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Reconcilable differences: correcting medication errors at hospital admission and discharge. Vira T, Colquhoun M, Etchells E. Qual Saf Health Care. 2006;15:122–126. doi: 10.1136/qshc.2005.015347. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Big data and large sample size: a cautionary note on the potential for bias. Kaplan RM, Chambers DA, Glasgow RE. Clin Transl Sci. 2014;7:342–346. doi: 10.1111/cts.12178. [DOI] [PMC free article] [PubMed] [Google Scholar]