Abstract
Objective
This study aimed to examine the prevalence and determinants of benzodiazepine prescription among older adults in Switzerland, and analyse association with hospitalisation and costs.
Design
Retrospective analysis of claims data.
Setting
The study was conducted in nine cantons in Switzerland.
Participants
Older adults aged 65 years and older enrolled with a large Swiss health insurance company participated in the study.
Primary and secondary outcome measures
The primary outcome was prevalence of benzodiazepine prescription. The secondary outcomes were (1) determinants of any benzodiazepine prescription; (2) the association between any prescription and the probability of hospitalisation for trauma and (3) the association between any prescription and total healthcare expenditures.
Results
Overall, 69 005 individuals were included in the study. Approximately 20% of participants had at least one benzodiazepine prescription in 2017. Prescription prevalence increased with age (65–69: 15.9%; 70–74: 18.4%; 75–80: 22.5%; >80: 25.8%) and was higher in women (25.1%) compared with men (14.6%). Enrollees with the highest deductible of Swiss Francs (CHF) 2500 were 70% less likely to receive a prescription than enrollees with the lowest deductible of CHF 300 (adjusted OR=0.29, 95% CI 0.24 to 0.35).
Individuals with at least one prescription had a higher probability of hospitalisation for trauma (OR=1.31, 95% CI 1. 20 to 1.1.44), and 70% higher health care expenditures (β=0.72, 95% CI 0. 67 to 0.77). Enrollees in canton Valais were three times more likely to receive a prescription compared to enrollees from canton Aargau (OR=2.84, 95% 2.51 to 3.21).
Conclusions
The proportion of older adults with at least one benzodiazepine prescription is high, as found in the data of one large Swiss health insurance company. These enrollees are more likely to be hospitalised for trauma and have higher healthcare expenditures. Important differences in prescription prevalence across cantons were observed, suggesting potential overuse. Further research is needed to understand the drivers of variation, prescription patterns across providers, and trends over time.
Keywords: benzodiazepine use, prescription, older adults, claims data, hospitalisations, costs
Strengths and limitations of this study.
We analysed a large administrative dataset with detailed patient-level information to provide recent evidence on benzodiazepine prescription in older adults in Switzerland.
The Swiss context with its decentralised system but homogeneous benefit package offers an opportunity to study regional variation that can shed light on cultural differences in healthcare use.
We restricted our analysis to the cantons in which direct dispensing by physicians is not allowed; our sample is therefore not representative of all Switzerland.
By relying on claims data, we have only limited diagnostic information at the individual level and we were therefore unable to identify the reason for benzodiazepine prescriptions.
We only investigate association between prescription, hospitalisations and costs, and are not able to make any causal claim.
Introduction
Benzodiazepines are among the most prescribed psychotropic drugs in high-income countries, widely used for treating anxiety and sleep disorders. Estimates of adult benzodiazepine consumption (≥18 years) range from 5% in the USA to over 16% in some European countries.1 2 There are growing concerns about the potentially inappropriate use of benzodiazepines, particularly when used for a long period of time.3 4 Studies have found an increase in benzodiazepine prescription with age in both men and women and a positive association with health-related factors such as depression and chronic disease.1 5 6 Benzodiazepines have been ranked among the most misused drugs, particularly for dependence.7 Moreover, guidelines discourage prolonged use of benzodiazepines especially among older people due to severity of adverse effects, particularly those associated with the central nervous system.8 9 Indeed, when used for long periods, benzodiazepines may lead to dependency, traumatic falls and fracture,10 11 hospitalisation and death,12–14 leading to increased healthcare costs.8 15 16
In 2019, the American Geriatrics Society9 published an update of the Beers Criteria to guide prescription in the elderly population.17 It recommends avoiding the use of benzodiazepines in elderly patients due to increased sensitivity to these drugs and decreased metabolic rate of long-acting agents. Moreover, use for longer than 4 weeks may be potentially problematic.18Despite the lack of evidence supporting their use beyond short periods, benzodiazepines are often prescribed for longer periods than recommended, particularly among those aged ≥65.19
In Switzerland, the Choosing Wisely Switzerland (‘smarter medicine’) top-5 list of low-value interventions for geriatrics includes benzodiazepines (https://www.smartermedicine.ch) and makes the following recommendation: “Don’t use benzodiazepines or other sedative-hypnotics in older adults as first choice for insomnia, agitation or delirium and avoid prescription at discharge”.20 Use of benzodiazepines is, however, recommended for alcohol withdrawal symptoms /delirium tremens or severe generalised anxiety disorder unresponsive to other therapies. Although concern exists regarding potential overuse, limited information is available regarding patterns of use and its impact in older adults. For instance, a study conducted in 2007 including 520 000 participants from the general adult population found that 9.1% received at least one benzodiazepine prescription within a period of 6 months.21
In this study, we use routine health insurance claims data to measure the prevalence of benzodiazepine prescription among individuals aged ≥65 in Switzerland. We further assess patterns of benzodiazepine prescription (eg, number of prescriptions, defined daily dose (DDD)), determinants of prescription, association with hospitalisation and healthcare costs. In addition, we study differences in the prevalence of prescription across cantons to assess potential unwarranted variation and identify regions in need of concerted deprescribing efforts.
Methods
Setting
Switzerland is a confederation of 26 cantons (states) with a total population of 8.4 million inhabitants. There are four official languages: German (63%), French (22.7%), Italian (8.1%) and Romansch (0.5%). While the Swiss healthcare system performs well in international comparisons,22 23 it is also one of the most expensive in the world. The regulation and organisation of healthcare takes place at the three main political levels, that is, central government, cantons and municipalities, with cantons playing a central role in delivery and financing of healthcare services.24 This gives rise to disparate cantonal health systems under the umbrella of a common central regulation. Health insurance is mandatory and covers illness, maternity and accidents for all insured individuals who are free to choose among registered health insurance companies that offer the same benefit package. The standard plan offers freedom of provider choice and direct access to secondary care. Enrollees can choose their deductible level (options range from CHF 300 to 2500) and, in return for a lower premium, they can choose alternative healthcare plans (HCPs), with either a general practitioner (GP) or a medical call centre as the first point of contact.25 Gatekeeping plans require enrollees to see a GP for referral to specialists, and managed care plans typically restrict access to a list of providers. Premiums are not risk-rated but can vary significantly across regions. Participation of households to healthcare expenditures is important and includes deductibles, co-payments and out-of-pocket expenses, giving rise to a particularly regressive financing system.26
Study design and participants
We conducted a cross-sectional analysis of claims data to study benzodiazepine prescriptions in enrollees aged ≥65 in 2017. We restricted our analysis to the nine Swiss cantons (ie, Aargau, Basel, Freiburg, Geneva, Jura, Neuchatel, Ticino, Vaud and Valais) in which direct medication dispensing by physicians is not allowed, as such prescriptions may not be captured with enough accuracy in the data.
Data sources
We obtained data from Groupe Mutuel, which is one of the largest health insurance companies in Switzerland, covering some 981 160 individuals with mandatory health insurance in 2019. The database provides information on demographic characteristics of enrollees including age, sex and canton of residence, as well as information on insurance plan (deductible level and type of contract (types of contract include basic option, gatekeeping, telephone-based gatekeeping, as well as managed care (HMO))). In addition, the data include information on hospitalisations with the associated diagnosis-related group (DRG), total costs covered by mandatory health insurance, comorbidities 1 derived from medication use,27 drug prescription information including anonymous prescriber identifier, Anatomical Therapeutic Chemical (ATC) classification system codes and a more detailed Swiss classification code (ie, Pharmacode), number of packs and prescription date. The following ATC codes were used to identify benzodiazepine prescriptions : N05BA and N05CD. We identified two types of hospitalisations using Swiss DRG codes: (1) those potentially related to benzodiazepine use, that is, trauma-related (online supplementary file 1), and (2) all other hospitalisations.
bmjopen-2019-031156supp001.pdf (54.4KB, pdf)
Statistical analysis
We first described participants’ characteristics including demographics (ie, age categorised into four main groups: 65–69, 70–74, 75–80 and >80 years, sex, canton of residence) and insurance details (deductible and plan type), and analysed differences in characteristics between those with and without any benzodiazepine prescription. We also analysed how the prevalence of prescription vary by age and canton. Intensity of potential benzodiazepine use among individuals with at least one prescription was captured using number of benzodiazepine prescriptions and total number of DDD. We also produced an estimate of the treatment duration, and computed mean daily dose by combining information on prescription dates and DDDs.28 Finally, we analysed (1) the determinants of any benzodiazepine prescription and (2) the association between any prescription and the probability of trauma-related hospitalisations using logistic regression, as well as (3) the association between any prescription and total healthcare expenditures using a linear regression with log-transformed costs.29 This specification was preferred to two-part or zero-inflated models as we have a highly skewed distribution of costs, but only a small proportion of enrollees with zero cost. Control variables included age, canton of residence, deductible level, type of contract, total number of non-trauma hospitalisations as a proxy for health status and comorbidities. In addition to ORs and regression coefficients, we report predicted outcomes (ie, hospitalisation rate and healthcare expenditures) to reflect the contribution of each value of each covariate to the outcomes of interest, all else being equal.
Data management and analysis were conducted using Stata V.15.1 (StataCorp LP, College Station, Texas, USA).
Patient and public involvement
Patients and the public were not involved in the design or planning of the study.
Results
Descriptive statistics
Our study population consisted of 69 005 individuals aged 65 and older (table 1). The mean age for all enrollees was 75.1 years and over half were women (55%). The majority of participants (57%) had a basic health insurance plan without a specific model and chose the lowest deductible level of CHF 300 (55%). Among all included individuals, 20.4% had at least one benzodiazepine prescription during the study period.
Table 1.
Sample characteristics, 2017 (n=69 005)
| N (%) | % with any benzodiazepine prescription | Adjusted % with any benzodiazepine prescription* | Unadjusted OR (95% CI) | Adjusted OR (95% CI) | |
| Age groups | |||||
| 65–69 | 19 553 (28.3) | 15.9 | 20.4 | – | – |
| 70–74 | 17 773 (25.8) | 18.4 | 21.4 | 1.18 (1.12 to 1.25) | 1.08 (1.02 to 1.15) |
| 75–80 | 14 820 (21.5) | 22.5 | 23.6 | 1.53 (1.45 to 1.62) | 1.29 (1.22 to 1.36) |
| 80+ | 16 859 (24.4) | 25.8 | 24.5 | 1.83 (1.74 to 1.93) | 1.41 (1.34 to 1.49) |
| Sex | |||||
| Female | 38 259 (55.4) | 25.1 | 24.5 | – | – |
| Male | 30 746 (44.6) | 14.6 | 15.1 | 0.51 (0.49 to 0.53) | 0.53 (0.51 to 0.55) |
| Canton | |||||
| NE | 3594 (5.2) | 24.9 | 23.2 | 3.53 (3.09 to 4.05) | 2.72 (2.37 to 3.12) |
| VS | 12 159 (17.6) | 24 | 23.9 | 3.37 (2.99 to 3.79) | 2.84 (2.51 to 3.21) |
| GE | 12 753 (18.5) | 23.1 | 21.8 | 3.21 (2.85 to 3.61) | 2.50 (2.21 to 2.83) |
| JU | 1672 (2.4) | 22 | 21.7 | 3.00 (2.56 to 3.53) | 2.49 (2.11 to 2.93) |
| TI | 3591 (5.2) | 21.6 | 22.8 | 2.94 (2.56 to 3.37) | 2.65 (2.31 to 3.05) |
| VD | 23 363 (33.9) | 19.4 | 19.2 | 2.57 (2.29 to 2.88) | 2.11 (1.88 to 2.39) |
| FR | 5742 (8.3) | 18.2 | 19.4 | 2.38 (2.09 to 2.70) | 2.15 (1.88 to 2.46) |
| BS | 2145 (3.1) | 12.5 | 12.9 | 1.52 (1.28 to 1.80) | 1.29 (1.09 to 1.54) |
| AG | 3986 (5.8) | 8.6 | 10.4 | – | – |
| Insurance plan | |||||
| Basic plan | 39 310 (57.0) | 22.1 | 21.1 | – | – |
| Gatekeeping | 14 706 (21.3) | 19.6 | 20.4 | 0.86 (0.82 to 0.90) | 0.96 (0.91 to 1.01) |
| Phone-based gatekeeping | 8776 (12.7) | 14.9 | 17.6 | 0.61 (0.58 to 0.65) | 0.79 (0.74 to 0.85) |
| Managed care (HMO) | 6213 (9.0) | 19.3 | 19.4 | 0.84 (0.79 to 0.90) | 0.89 (0.83 to 0.96) |
| Deductible (CHF) | |||||
| 300 | 38 037 (55.1) | 23.6 | 22.3 | – | – |
| 500 | 22 415 (32.5) | 19.7 | 19.5 | 0.79 (0.76 to 0.83) | 0.83 (0.80 to 0.87) |
| 1000 | 2004 (2.9) | 11.9 | 15 | 0.44 (0.38 to 0.50) | 0.60 (0.52 to 0.69) |
| 1500 | 3667 (5.3) | 8.6 | 12.4 | 0.31 (0.27 to 0.34) | 0.47 (0.42 to 0.54) |
| 2000 | 395 (0.6) | 6.6 | 10 | 0.23 (0.15 to 0.34) | 0.37 (0.25 to 0.56) |
| 2500 | 2487 (3.6) | 5.1 | 8 | 0.17 (0.15 to 0.21) | 0.29 (0.24 to 0.35) |
| Comorbidities (PCG) | |||||
| 0 | 38 430 (55.7) | 15.1 | 15.7 | – | – |
| 1 | 22 231 (32.2) | 24.6 | 24 | 1.83 (1.76 to 1.91) | 1.73 (1.66 to 1.80) |
| 2 | 6813 (9.9) | 32.2 | 29.8 | 2.67 (2.52 to 2.83) | 2.36 (2.22 to 2.50) |
| 3 | 1317 (1.9) | 38.2 | 34.3 | 3.47 (3.09 to 3.89) | 2.94 (2.61 to 3.30) |
| 4 | 189 (0.3) | 41.8 | 37.1 | 4.03 (3.02 to 5.39) | 3.35 (2.49 to 4.51) |
| 5+ | 25 (0.0) | 44 | 36.6 | 4.41 (2.00 to 9.72) | 3.27 (1.46 to 7.32) |
| Overall | 20.4 |
| Outcomes | Benzodiazepine users (n=14 072) | Non-users (n=54 925) |
| Healthcare expenditures, mean (SD) | 15 573 (19 040) | 9111 (14 848) |
| Hospitalisation (any), N (%) | 3841 (27.3) | 9298 (16.9) |
| Hospitalisation (trauma), N (%) | 760 (5.4) | 1925 (3.5) |
*Adjusted for age, sex, canton, insurance plan, deductible (CHF) and comorbidities.
PCG, pharmaceutical cost group.
The prevalence of any benzodiazepine prescription increased with age and was highest (25.8%) among age group 80 and older. Women had higher (25.1%) prevalence compared with men (14.6%). Study participants with a basic health insurance (22.1%) and those with the lowest deductible level (23.6%) had higher prevalence of benzodiazepine prescription. Overall, over half of the study participants (55.7%) had no comorbidity and about a third had one comorbidity (32%). The highest prevalence of benzodiazepine prescription was observed among those with five or more comorbidities (44%).
Figure 1 shows variation of prescription prevalence by age and canton of residence. In all cantons, except in canton of Fribourg where prevalence dropped among older enrollees, prevalence increased steadily with age to reach about 30% for the oldest age group in some cantons. We also observe important variation between cantons, with prevalence varying by a factor of 2 between the highest and the lowest prescribing cantons. Of note, the two lowest prescribing cantons are in the German-speaking part of the country, whereas the other cantons are in the French-speaking or Italian-speaking regions.
Figure 1.
Prescription prevalence by age groups and canton, 2017.
A total of 75 130 benzodiazepine prescriptions were filled in 2017. The most commonly prescribed products were lorazepam (39.9%), oxazepam (16.4%) and bromazepam (13.1%) (table 2). The majority of individuals with at least one prescription received intermediate-acting benzodiazepine agents (67.7%), followed by long-acting benzodiazepines (25%) and only a small proportion (7.4%) received short-acting benzodiazepines.
Table 2.
Details on benzodiazepine prescriptions, 2017
| N | % of all benzodiazepine prescriptions | |
| Panel A: prescribed benzodiazepines ( n = 75 130 ) | ||
| Anxiolitics (N05BA) | ||
| Intermediate acting | ||
| Lorazepam | 29 945 | 39.9 |
| Oxazepam | 12 298 | 16.4 |
| Alprazolam | 5843 | 7.8 |
| Lorazepam+Diphenhydramine | 1557 | 2.1 |
| Long acting | ||
| Bromazepam | 9840 | 13.1 |
| Clorazepate | 3782 | 5.0 |
| Prazepam | 1122 | 1.5 |
| Others (ie, diazepam, clobazam, kétazolam) | 456 | 0.6 |
| Hypnotics and sedatives (N05CD) | ||
| Short acting | ||
| Midazolam | 3524 | 4.7 |
| Triazolam | 2039 | 2.7 |
| Intermediate acting | ||
| Lormatezepam | 755 | 1.0 |
| Temazepam | 366 | 0.5 |
| Long acting | ||
| Flurazepam | 2461 | 3.3 |
| Flunitrazepam | 838 | 1.1 |
| Nitrazepam | 284 | 0.4 |
| Mean | SD | Median | IQR | |
| Panel B: prescriptions among users ( n = 14 072 ) | ||||
| No. of benzodiazepine prescriptions | 4.94 | 5.43 | 4 | 6 |
| DDD | 111.23 | 145.40 | 60 | 128 |
| Mean daily dose | 0.85 | 1.65 | 0.70 | 0.62 |
| No. of different prescribers | 1.25 | 0.57 | 1 | 0 |
| No. of different drugs prescribed (any type)* | 10.2 | 7.2 | 9 | 9 |
| N | % | |
| No. of benzodiazepine prescriptions | ||
| 1 | 3839 | 27.3 |
| 2–5 | 5278 | 37.5 |
| 5–10 | 3427 | 24.4 |
| 10+ | 1528 | 10.9 |
| DDD | ||
| 0–30 | 5046 | 35.9 |
| 30–90 | 3371 | 24.0 |
| 90–180 | 3142 | 22.3 |
| 180–360 | 1713 | 12.2 |
| 360+ | 800 | 5.7 |
| Estimated treatment duration (days) | ||
| 0–15 | 2936 | 20.1 |
| 15–90 | 2095 | 14.9 |
| 90–180 | 2182 | 15.5 |
| 180–270 | 2440 | 17.3 |
| 270+ | 4419 | 31.4 |
| Mean daily dose | ||
| 0–0.5 | 5317 | 37.8 |
| 0.5–1 | 6893 | 50.0 |
| 1–2 | 1429 | 10.2 |
| 2+ | 433 | 3.1 |
*Total number of prescriptions of different therapeutic/pharmacological subgroups (ATC 4-digit).
DDD, defined daily dose.
The mean number of prescriptions among those with at least one prescription was 4.9 (SD 5.4, median 4), and the mean DDD was 111.23 (SD 145.4, median 60). About one-third of users received at least five prescriptions during the year and 40% were prescribed the equivalent of 90 DDD or more. More importantly, the estimated treatment duration is above 15 days for 80% of users, suggesting high prevalence of long-term use. By combining information on prescription dates and DDD, we calculated a mean daily dose of 0.85 (SD 1.65, median 0.70).
Determinants of benzodiazepine prescription
Logistic regression results are presented in table 1. The probability of any benzodiazepine prescription increased with age. For example, the adjusted OR was 1.29 (95% CI 1.22 to 1.36) for enrollees aged 75–80 and 1.41 (95% CI 1.34 to 1.49) for those aged 80 and older (ref: 65–69). Men were 50% less likely to be prescribed benzodiazepines as women (adjusted OR=0.53, 95% Cl 0.51 to 0.55). The model also revealed significant differences in prescribing patterns between cantons, with for instance prevalence of prescription being nearly three times higher in canton Valais than in the reference canton of Aargau (OR=2.84, 95% CI 2.51 to 3.21).
We observed an association between deductible level and benzodiazepine prescription. Enrollees with higher deductibles were less likely to receive a prescription. For instance, enrollees with the highest deductible level of CHF 2500 were 70% less likely to receive a prescription than enrollees with a deductible of CHF 300 (OR=0.29, 95% CI 0.24 to 0.35). Having chronic conditions was associated with benzodiazepine prescription. For example, among individuals with one chronic condition, the OR was 1.73 (95% CI 1.66 to 1.80) and increased to 3.27 among those with five or more comorbidities (95% CI 1.46 to 7.32).
Association with hospitalisations and healthcare expenditures
Overall, 19% of individuals had at least one hospital admission during the study period. Individuals with a benzodiazepine prescription were more likely to be hospitalised for any cause (27.3% vs 16.9%) and for trauma (5.4% vs 3.5%) compared to non-users. Total healthcare expenditures were higher for those with a prescription than for non-users (CHF 15 573 vs 9111). Table 3 shows the association between benzodiazepine prescription, hospitalisations and healthcare expenditures. Individuals with any benzodiazepine prescription had higher probability of being hospitalised for trauma (OR=1.31, 95% CI 1.20 to 1.44) table 3. As expected, hospitalisation rate increased with age and comorbidities. Our models of total healthcare expenditures showed that those with at least one prescription had 70% higher expenditures compared to non-users (β=0.72, 95% CI 0. 67 to 0.77).
Table 3.
Association with hospitalisation and costs
| Variables | Outcome: any hospitalisation for trauma Logistic regression |
Outcomes: ln(health expenditure) OLS (β reported)* |
||||
| OR | 95% CI | Predicted % with hospitalisation† | β | 95% CI | Predicted health expenditure (in CHF)† | |
| Any benzodiazepine prescription | ||||||
| No | – | – | 3.6 | – | – | 6400 |
| Yes | 1.31 | 1.20 to 1.44 | 4.7 | 0.72 | 0.67 to 0.77 | 13 168 |
| Age | ||||||
| 65–69 | – | – | 3.9 | – | – | 8504 |
| 70–74 | 1.15 | 1.03 to 1.29 | 4.3 | 0.37 | 0.31 to 0.42 | 11 562 |
| 75–80 | 1.34 | 1.20 to 1.51 | 4.8 | 0.53 | 0.47 to 0.58 | 13 013 |
| 80+ | 1.28 | 1.14 to 1.43 | 4.6 | 0.83 | 0.78 to 0.89 | 14 494 |
| Sex | ||||||
| Female | – | – | 4.4 | – | – | 8923 |
| Male | 0.74 | 0.69 to 0.81 | 3.3 | −0.12 | −0.16 to −0.07 | 7952 |
| Canton | ||||||
| AG | – | – | 4.4 | – | – | 5470 |
| BS | 1.06 | 0.81 to 1.38 | 4.7 | 0.46 | 0.32 to 0.60 | 8683 |
| FR | 1.00 | 0.81 to 1.25 | 4.4 | 0.57 | 0.46 to 0.68 | 9657 |
| VD | 0.88 | 0.73 to 1.06 | 3.9 | 0.58 | 0.49 to 0.68 | 9807 |
| TI | 0.69 | 0.54 to 0.89 | 3.1 | 0.21 | 0.09 to 0.33 | 6733 |
| JU | 0.95 | 0.71 to 1.27 | 4.2 | 0.24 | 0.09 to 0.39 | 6230 |
| GE | 0.85 | 0.70 to 1.03 | 3.8 | 0.50 | 0.40 to 0.60 | 8991 |
| VS | 0.80 | 0.66 to 0.97 | 3.6 | 0.17 | 0.07 to 0.27 | 6475 |
| NE | 0.97 | 0.77 to 1.22 | 4.3 | 0.40 | 0.28 to 0.52 | 8124 |
| Insurance plan | ||||||
| Basic plan | – | – | 4.0 | – | – | 8475 |
| Gatekeeping | 0.91 | 0.82 to 1.00 | 3.6 | 0.09 | 0.03 to 0.14 | 9245 |
| Phone-based gatekeeping | 0.94 | 0.83 to 1.07 | 3.8 | −0.12 | −0.19 to −0.06 | 7485 |
| Managed care (HMO) | 0.95 | 0.82 to 1.10 | 3.8 | −0.04 | −0.12 to 0.03 | 8090 |
| Deductible (CHF) | ||||||
| 300 | – | – | 4.1 | – | – | 9495 |
| 500 | 0.95 | 0.88 to 1.04 | 3.9 | −0.22 | −0.26 to −0.17 | 7656 |
| 1000 | 0.69 | 0.52 to 0.92 | 2.8 | −1.01 | −1.13 to −0.89 | 3448 |
| 1500 | 0.85 | 0.69 to 1.04 | 3.5 | −1.69 | −1.78 to −1.60 | 1748 |
| 2000 | 0.68 | 0.35 to 1.32 | 2.8 | −2.45 | −2.71 to −2.18 | 823 |
| 2500 | 0.55 | 0.40 to 0.75 | 2.3 | −3.14 | −3.25 to −3.03 | 409 |
| Comorbidities (PCG) | ||||||
| 0 | – | – | 3.6 | – | – | 2977 |
| 1 | 1.19 | 1.09 to 1.30 | 4.2 | 1.35 | 1.30 to 1.39 | 11 461 |
| 2 | 1.21 | 1.07 to 1.37 | 4.3 | 1.58 | 1.51 to 1.65 | 14 500 |
| 3 | 1.39 | 1.10 to 1.76 | 4.9 | 1.78 | 1.64 to 1.93 | 17 675 |
| 4 | 0.22 | 0.05 to 0.89 | 0.8 | 1.94 | 1.56 to 2.32 | 20 699 |
| 5+ | 1.46 | 0.34 to 6.27 | 5.1 | 2.00 | 0.96 to 3.03 | 21 908 |
| Total number of hospital admissions (non-trauma) | ||||||
| 0 | – | – | 3.4 | – | – | 3704 |
| 1 | 1.69 | 1.52 to 1.88 | 5.7 | 1.69 | 1.63 to 1.76 | 20 131 |
| 2+ | 2.03 | 1.76 to 2.33 | 6.7 | 2.22 | 2.13 to 2.31 | 34 079 |
| N | 69 005 | |||||
*Semielasticity.
†Obtained by predicting the outcome for each value of each covariate, all else being equal.
PCG, pharmaceutical cost group.
Discussion
In this retrospective analysis of insurance claims data, the proportion of individuals aged 65 years and older with at least one prescription of benzodiazepines in 2017 was about 20%. The prevalence of prescription increased with age and was higher among women. We also found important variation in prescription prevalence across cantons, with prevalence ranging from 16% to 31%. Having more than one comorbidity and having a lower deductible was associated with a higher probability of benzodiazepine prescription. Finally, we found an association between benzodiazepine prescription, hospitalisation for trauma and healthcare expenditures.
This is one of the first studies investigating benzodiazepine prescription in older adults in Switzerland. A study conducted in the general population21 showed a prevalence of benzodiazepine dependence of 16%–20% with many patients (49.3%) receiving benzodiazepines on a long-term basis and 8.3% receiving benzodiazepines in high doses. A recently published Swiss study using claims data found no association between use and the risk of Alzheimer’s disease,31 contrary to previous evidence.32 In other countries the prevalence of benzodiazepine use in the elderly population ranged from 15% to 31%.1 6 33–35 In our study, about 20% of enrollees received at least one benzodiazepine prescription in 2017, with two-thirds of them receiving the equivalent of 30 DDD or more, and 80% with estimated treatment durations longer than 2 weeks. Thus, considering that use is typically not recommended beyond 2–4 weeks of treatment,17 36 the prevalence of benzodiazepine overuse among older people in Switzerland is likely to be as high as 16%. This proportion might be twice higher in non-German-speaking cantons, among women over 80 years old and in multimorbid people.
High prevalence of benzodiazepine prescription among older adults appears to be common in many parts of the world. For example, a study in the USA found that 5.2% of the adult population were benzodiazepine users.1 People receiving prescription from a psychiatrist were more likely to be long-term users and this tendency increased with age (33% in younger adults and 53.5% in older adults). In Australia, 16% of the adults aged 65 years and older had at least one benzodiazepine prescription with higher prevalence in women and those aged 65 and older.34 A recent German retrospective study including over 32 000 older people showed that the proportion of patients receiving benzodiazepine therapy for over 6 months was approximately 15%–20%. Similar to our findings, use of benzodiazepines was more frequent in older people, patients treated in neuropsychiatric practices, and people diagnosed with dementia, sleep disorders or depression.6
The fact that over three quarters of individuals with at least one benzodiazepine prescription are long-term users reflects the challenge of discontinuing such treatment. Research suggests that the main barriers to reducing or stopping prescription of psychotropic drugs in clinical practices are patient perceived difficulty to stop the medication and lack of alternative therapies such as cognitive behavioural therapy.37 Moreover, healthcare providers may not recommend discontinuing benzodiazepines due to concerns related with withdrawal symptoms, which may occur in up to 50% of patients.38 Our findings are consistent with previous research33 39 40 showing higher prevalence of prescription among women. The increase of benzodiazepine prescription with the number of chronic conditions can be partly explained by poorer quality of sleep and more prevalent anxiety in this group. It is also possible that more frequent physician visits increase the risk of initiating hypnotic treatment.
We found higher rates of trauma-related hospital admissions and higher healthcare expenditures in individuals with at least one benzodiazepine prescription than in non-users. Previous research has consistently reported that benzodiazepine use is associated with significant increase in risk of falls.41–43 A meta-analysis reported up to 50% increase in risk of falls among benzodiazepine users.44 Fall-related injuries are one of the most expensive medical conditions and may have major economic consequences on healthcare systems.45 Research from the USA suggests that the average cost for fall injury is over $30 000 and increases with age.46
Finally, we observed a large variation across cantons in the prevalence of benzodiazepine prescription. The variation could be due to several factors including patient and provider characteristics, as well as factors related to the organisation of healthcare (eg, guidelines, incentives, different local practice patterns). Large differences in healthcare utilisation across the three language regions (French, German and Italian) have been reported in several Swiss studies, which might reflect cultural differences.47–49 In particular, substantial cantonal variation in prescriptions for other types of drugs has been reported in previous Swiss studies, for example, in Wertli et al (2017)50 who found pronounced geographical differences in prescription of pain medications.
Strengths and limitations
This study has several strengths. First, select data from individuals were available with detailed patient-level information to provide recent evidence on benzodiazepine prescription in older people in Switzerland. Such data are not readily available in the country and previous studies have often relied on survey data.21 51 52 In addition, the Swiss context with its decentralised system but homogeneous benefit package offers an opportunity to study regional variation that can shed light on cultural differences in healthcare use.
Our study has also several limitations. First, we restricted our analysis to the cantons in which direct dispensing by physicians is not allowed; our sample is therefore not representative of all Switzerland. In addition, as we are relying on claims data, we have only limited diagnostic information at the individual level and we were therefore unable to identify the reason for prescription, and we are only able to analyse prescriptions filled and not actual medication use. Also, our study is likely to underestimate prescription prevalence as a share of prescriptions is likely to be paid out-of-pocket and therefore not recorded in claims data; our findings on the negative association between deductible level and benzodiazepines prescription could partly reflect this. Also, while our data capture information on the number of providers, we were not able to identify the type of prescribing physician which has been previously identified as an important determinant of benzodiazepine prescription.53 Also, as benzodiazepine misuse at older ages may reflect misuse and consequent habituation at younger ages, focusing on the population aged 65 and older is a limitation. Future studies should examine patterns and initiation of problematic use in different age groups, and persistence of misuse over time. Finally, we only investigate association between prescription, hospitalisation and costs and are not able to make any causal claim.
Implications for clinicians and policy makers
Despite these limitations, our study has important implications for patients, healthcare providers and policy makers. Our results indicate that benzodiazepine overuse among older adults is likely to be a public health issue in Switzerland. It is thus necessary to analyse the causes and the consequences of this phenomenon. Is it driven by patient demand or by physician supply, with a minority of doctors initiating such treatments? Potential explanations of excessive prescription by doctors include inaccurate appreciation of the risk–benefit trade-off of the medication, poor knowledge of alternative treatment options or consultation time constraints while facing complex psychosocial problems.54 55
In this context, the development of clearer prescription guidelines, accompanied with improved monitoring of use, might help curb prescription rates. As overuse may be driven by variation in prescribing practice, future interventions could target prescribers in cantons with highest prescribing rates. Results shown in this study could also be used to set a national benchmark. For instance, authorities could aim for a target of use in adults age 65 and older, which would be realistic and reflect what is achievable in some cantons (eg, <10% in use). Future research should also look into why some cantons are able to achieve such low prevalence compared with others. It will also be important to better understand why multimorbid patients consume benzodiazepines more frequently and whether the observed associations between benzodiazepine prescription, hospitalisation rates and healthcare expenditures reflect causality.
Our findings may be generalised to other developed countries that face similar challenges in their healthcare system (eg, ageing population and increasing healthcare costs).
Conclusions
We found evidence of high prevalence of prescription in this population, in particular in non-German-speaking cantons, women over 80 years old and in people with comorbidities. Future studies could identify patterns of prescription across provider type and trends over time. The use of benzodiazepines is high and is associated with trauma and healthcare expenditures, with variability across cantons, suggesting regional/prescriber directed interventions could address overuse. Further efforts are also needed to examine causality using longitudinal data.
Supplementary Material
Acknowledgments
We are grateful to Groupe Mutuel for providing us with the data used in the study and other relevant information. We would also like to thank the reviewers for their helpful comments and suggestions.
Twitter: @xluta
Contributors: JM was the principal investigator on the project and led the analyses. CB actively collaborated on data preparation, description, analysis and interpretation. ML and CB were involved in data management. XL and JM drafted the manuscript. AD, YE, M-ALP and PM-V provided input in the analysis phase. All authors provided critical feedback and approved the final version of the manuscript.
Funding: This work was supported by the Swiss Medical Board (www.medical-board.ch).
Competing interests: None declared.
Patient consent for publication: Not required.
Ethics approval: In our analysis we used routinely collected anonymous data; therefore, ethical approval was not required according to the Swiss law for research on humans.30
Provenance and peer review: Not commissioned; externally peer reviewed.
Data availability statement: The insurance claims data cannot be made publicly available.
Attention deficit hyperactivity disorder (ADHD), asthma, autoimmune diseases, cystic fibrosis/pancreatic enzyme, high cholesterol, chronic obstructive pulmonary disease (COPD)/severe asthma, Crohn’s disease/ulcerative colitis, depression, diabetes, type 2 diabetes, epilepsy, glaucoma, heart disease, HIV/AIDS, hormone-sensitive cancer, hypertension, cancer, kidney disease, brain or spinal cord diseases, neuropathic pain, Parkinson’s disease, psychosis, Alzheimer, and addiction, rheumatism, thyroid disease, transplantation
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Supplementary Materials
bmjopen-2019-031156supp001.pdf (54.4KB, pdf)