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Barriers and enablers for deprescribing benzodiazepine receptor agonists in older adults: a systematic review of qualitative and quantitative studies using the theoretical domains framework

Abstract

Background

Many strategies aimed at deprescribing benzodiazepine receptor agonists (BZRA) in older adults have already been evaluated with various success rates. There is so far no consensus on which strategy components increase deprescribing the most. Yet, despite an unfavourable benefit-to-risk ratio, BZRA use among older adults remains high. We systematically reviewed barriers and enablers for BZRA deprescribing in older adults.

Methods

Two reviewers independently screened records identified from five electronic databases—Medline, Embase, PsycINFO, CINAHL and the Cochrane library—and published before October 2020. They searched for grey literature using Google Scholar. Qualitative and quantitative records reporting data on the attitudes of older adults, caregivers and healthcare providers towards BZRA deprescribing were included. Populations at the end of life or with specific psychiatric illness, except for dementia, were excluded. The two reviewers independently assessed the quality of the included studies using the mixed-methods appraisal tool. Barriers and enablers were identified and then coded into domains of the theoretical domains framework (TDF) using a combination of deductive and inductive qualitative analysis. The most relevant TDF domains for BZRA deprescribing were then identified.

Results

Twenty-three studies were included 13 quantitative, 8 qualitative and 2 mixed-method studies. The points of view of older adults, general practitioners and nurses were reported in 19, 9 and 3 records, respectively. We identified barriers and enablers in the majority of TDF domains and in two additional themes: “patient characteristics” and “BZRA prescribing patterns”. Overall, the most relevant TDF domains were “beliefs about capabilities”, “beliefs about consequences”, “environmental context and resources”, “intention”, “goals”, “social influences”, “memory, attention and decision processes”. Perceived barriers and enablers within domains differed across settings and across stakeholders.

Conclusion

The relevant TDF domains we identified can now be linked to behavioural change techniques to help in the design of future strategies and health policies. Future studies should also assess barriers and enablers perceived by under-evaluated stakeholders (such as pharmacists, psychiatrists and health care professionals in the hospital setting).

Trial registration

This work was registered on PROSPERO under the title “Barriers and enablers to benzodiazepine receptor agonists deprescribing”. Registration number: CRD42020213035

Peer Review reports

Contribution to the literature

  • This systematic review identifies and synthesises barriers and enablers of BZRA deprescribing in older adults and map them into the theoretical domains framework.

  • By including both qualitative and quantitative studies, this systematic review synthesises a variety of points of view and provides a deeper understanding of BZRA deprescribing implementation challenges.

  • The identification of theoretical domains framework relevant domains can now be used for the theoretically informed development of future strategies towards BZRA deprescribing in older adults.

Background

Benzodiazepine receptor agonists (BZRA, namely benzodiazepines and Z-drugs such as zolpidem, zopiclone and zaleplon) are widely prescribed for the management of insomnia and anxiety. However, their benefit-to-risk ratio is unfavourable in older adults (aged 65 or older) [1]. Indeed, BZRA offer only modest, short-term benefits, and adverse effects can include over-sedation, dependence, increased risks of falls and fractures, and cognitive impairment [2,3,4]. In Europe and the USA, recent studies have reported that around one in five adults aged 65 and older use BZRA [5,6,7,8]. Moreover, the proportion of long-term users among older individuals is estimated to be 47% [9]. In the nursing home (NH) setting, the prevalence of use is likely even higher, with reported rates between 14.6 and 54.4% [10,11,12,13]. For all these reasons, the American Geriatrics Society has included BZRA on the potentially inappropriate medications list [14] and the Screening Tool of Older Persons’ Prescriptions (STOPP) list version 2 recommends limiting their use to 4 weeks [15]. Moreover, several organisations such as the Canadian deprescribing network or Choosing Wisely recommend that deprescribing be offered to older adults who take BZRA [16, 17].

Deprescribing is the process of “withdrawal of an inappropriate medication, supervised by a healthcare professional with the goal of managing polypharmacy and improving outcomes” [18]. Many approaches to enhance implementation of BZRA deprescribing have already been evaluated, encompassing medication review, educational programmes, substitution or multi-faceted strategies [19,20,21,22]. These strategies were associated with discontinuation rates ranging from 27 to 80% [21]. However, routine implementation of such deprescribing strategies is limited, and deprescribing policies vary across countries [23]. Moreover, data remain limited on how to best achieve BZRA deprescription or which components of a strategy are the most effective.

Improving knowledge about the barriers and enablers of BZRA deprescribing could enhance the probability of success of strategies. Different stakeholders can be involved in BZRA deprescribing (e.g., the patient, relatives and informal caregivers, general practitioner (GP), nurses, pharmacist). Each of these stakeholders may perceive different barriers and enablers, which should all be assessed and taken into consideration [24]. A recent systematic review evaluated barriers and enablers for BZRA deprescribing in older adults [25]. Based on 10 included studies, the authors reported barriers such as the perceived efficacy and safety of BZRA, lack of knowledge, work environment and procedure, and ageism. Reported enablers were education, patient motivation, multidisciplinary collaboration and awareness of adverse effects. Although this systematic review was a first step towards BZRA deprescribing enhancement, it only included qualitative studies and was not based on any theoretical framework. Conducting a systematic review, including both qualitative and quantitative evidence, can help further investigate complex processes and systems in health and social care [26]. Moreover, psychological theories can provide a framework for the evaluation of behaviour predictors and to tailor specific interventions [27].

The primary aim of this systematic review was to identify and synthesise barriers and enablers of BZRA deprescribing in older adults and to map them into a theoretical framework. Secondary objectives were the identification of settings or stakeholders for which information is lacking, and the identification of differences in barriers and enablers between different settings.

Methods

The systematic review protocol was developed based on PRISMA-P guidelines [28] and on the toolkit for mixed-methods studies review by Pluye et al. [29]. It was registered on PROSPERO under the name “Barriers and enablers to benzodiazepine receptor agonists deprescribing” (CRD42020213035). Report follows the 2020 PRISMA checklist for reporting systematic reviews (See additional file 1) [28].

We conducted a systematic search of qualitative, quantitative and mixed-methods studies exploring the views of different stakeholders on BZRA deprescribing in older adults. Five electronic databases were searched from their inception until October 13, 2020: MEDLINE, EMBASE, PsychINFO, CINHAL and CENTRAL. The search strategy was developed with the help of a medical librarian and focused on the three aspects of our question: (i) the studied population, i.e., adults over 65 and their formal and informal caregivers; (ii) the measurement, i.e., perceived barriers and enablers for the studied phenomenon; and (iii) BZRA deprescribing. For each of these aspects, a list of synonyms was constructed with the aim of being as sensitive as possible. Search terms were then combined into a research equation (See additional file 2) that we transcribed for each database. To supplement the database search, we hand-searched the 100 first hits on Google Scholar for grey literature. References from included papers and those citing included papers were also checked for eligibility.

Search results were introduced into the reference management software Endnote X8©, Clarivate Analytics, Philadelphia. Two reviewers (PE and CP) independently screened titles and abstracts for eligibility, using the systematic reviews web application Rayyan [30]. The full texts of potentially eligible studies were read before a final decision was made regarding their eligibility. Disagreements were resolved through discussion with a third reviewer (AS). We included empirical studies using quantitative (interventional or observational), qualitative or mixed-methods designs and published in the English language. Relevant reviews were not included, but their reference lists were checked for studies that had been missed in the database search. Studies assessing barriers and enablers of psychotropic deprescribing in older adults were only included if data on BZRA were presented separately, and then, only these data were extracted. Qualitative studies on BZRA prescribing were only included if they addressed factors related to deprescribing, and only these data were then extracted. We excluded studies with only abstracts available, studies conducted on populations with less than 75% of patients aged over 65 (or caregivers of this population), and studies conducted in populations with specific psychiatric disorders (except for dementia), receiving palliative care, or mentioned as being at the end of life. Eligibility criteria were pilot tested by the two reviewers on a sample of 20 studies. Results of the pilot test were discussed with a third reviewer (AS), and criteria were further adjusted.

The quality of the included studies was independently assessed by two reviewers (PE and CP), using the Mixed-Methods Appraisal Tool (MMAT), version 2018 [31]. The MMAT was selected because it enables quality assessment for all three study types (qualitative, quantitative and mixed-methods). We did not exclude any study based on quality assessment, but results are taken into consideration in the discussion section.

One reviewer (PE) extracted the data from the included studies, using an extraction form that had been previously pilot tested by three reviewers (PE, CP and AS) on one qualitative, one quantitative and one mixed-methods study. A second reviewer (CP) then checked data extraction for accuracy. Extracted data included participants’ quotations from qualitative studies and identified themes underlying BZRA deprescribing, quantitative findings from surveys or questionnaires, and the authors’ conclusions. Predictors of and factors associated with BZRA deprescribing in quantitative studies (interventional or observational) were also extracted. Data extraction form is available in additional file 3.

The theoretical domains framework (TDF), used for data analysis, is a framework that can be used to classify the different determinants of a behaviour [32]. It is particularly relevant for the evaluation of barriers and enablers of performing a behaviour [33]. The validated TDF version 2 encompasses 84 theoretical constructs, divided into 14 domains: Knowledge; Skills; Social/Professional Role and Identity; Beliefs about Capabilities; Optimism; Beliefs about Consequences; Reinforcement; Intentions; Goals; Memory, Attention and Decision Processes; Environmental Context and Resources; Social Influences; Emotions; and Behavioural Regulation [34].

We performed data analysis using a data-based convergent design [35], meaning that results from different study designs were analysed together using a single method, here qualitative. Quantitative results were therefore coded as qualitative data with regard to their interpretation. First, two independent coders (PE and CP), who received training on TDF use, deductively coded the extracted data into TDF domains. Coding disagreements were resolved through discussion and intervention of a third coder (AS). To ease data management, we used NVivo© software, QSR international, Boston. Second, one researcher (PE) identified the most relevant TDF domains for BZRA deprescribing based on the three criteria proposed by Atkins et al.: (i) frequency of the belief, (ii) presence of conflicting beliefs and (iii) perceived importance of the belief [33]. This selection of relevant domains was then checked by a second researcher (CP) for accuracy, and results were discussed within the research team.

Results

Search

The electronic database search identified 8780 records. After removing duplicates, 6498 records were screened, and 153 examined in further detail. Of these, we included 20 reports in the present study. We also identified one report through Google Scholar and two through citation searching. Overall, we included 23 reports, from 22 studies (Fig. 1).

Fig. 1
figure 1

Flow chart of studies screening and selection. Adapted From: Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021;372:n71. doi: 10.1136/bmj.n71

Study characteristics

Of the 23 studies, there were 13 quantitative, 8 qualitative and 2 mixed-methods studies. Two studies reflected on the point of views of different stakeholders from the same sample. The most studied setting was ambulatory, reported in 14 records. NH and hospital settings were explored in 8 and 1 records, respectively. The points of view and/or characteristics of patients, GPs and nurses were assessed in 19, 9 and 3 reports, respectively. A summary of study characteristics and extracted results is provided in Table 1. For 7 of the 23 reports, the data were missing to assess the quality of at least one of the MMAT criteria, and for 2 of these studies, the data were missing for 2 or more criteria. The quality of the majority of the included studies was good, but 2 studies [40, 54] were of poor quality (see Additional file 4).

Table 1 Description of characteristics of included studies, significant results and related TDF domains

Identified barriers and enablers

We identified barriers and enablers across 14 different domains: 7 TDF domains identified as most relevant (beliefs about capabilities; beliefs about consequences; environmental context and resources; intention; goals; social influences; memory, attention and decision process), five other TDF domains, and two domains outside the TDF. The number of domains addressed by the studies ranged from 1 to 11. A summary of the domains identified as barriers and/or enablers per setting and per stakeholder is shown in Fig. 2. We identified mostly barriers. Several domains contained only barriers, whereas others contained barriers and enablers. No domain contained only enablers. Perceived barriers and enablers within domains differed across settings and across stakeholders. As an example, for the domain “beliefs about consequences”, residents in a NH setting reported only barriers, whereas patients in the ambulatory setting and GPs in both settings identified both barriers and enablers. Details of the barriers and enablers identified within each domain per included study are presented in Table 2.

Fig. 2
figure 2

Reported relevant analysis domain, identified as barrier and/or enabler per setting and per stakeholders. Legend: Orange=Barrier, Blue=Enabler, BZRA=Benzodiazepine Receptor Agonists, GPs=General Practitioners, NHRs=Nursing home residents

Table 2 TDF domains and subthemes identified as barriers and/or enablers in each included study

Below, we present the data relative to the TDF domains most relevant for BZRA deprescribing.

Beliefs about capabilities

Beliefs about capabilities represent the perceived capability of stakeholder to perform the behaviour and the problems they face. Twelve studies reported on this domain, mainly as a barrier for BZRA deprescribing; two studies reported that patients’ perceived self-efficacy was an enabler of BZRA deprescribing.

Individuals who decided to deprescribe exhibited higher capacity for tapering, with enhanced self-efficacy compared with those in whom the intervention did not trigger motivation (risk difference, 56.90% (95% CI 45.41% to 65.77%)). Ambulatory setting [55].

GPs and nurses viewed deprescribing, including motivating patients, as challenging.

Nurses considered a stop possible in 21% of the chronic BZD users. NH setting [38]

It can be a tough sell to get patients off of these meds. GP interview, ambulatory setting [53].

Additionally, perceived BZRA efficacy and lack of efficacy were respectively a barrier and an enabler for deprescribing. Studies mainly reported that healthcare providers (HCPs) perceived BZRA as effective, while patients had conflicting views.

More withdrawers reported that their medication was ‘a little helpful’ and more continuers reported that their sleeping tablets were ‘very helpful’ for a good night’s sleep, a significant difference. Ambulatory setting [51].

Beliefs about consequences

Beliefs about consequences, which represent what stakeholders think could happen from performing the behaviour, were reported in 13 of the studies, mainly as a barrier. In 11 studies, stakeholders did not perceive any adverse effects of BRZA and therefore did not believe stopping them would have any benefit. As patients aged, healthcare providers and patients themselves believed that BZRA deprescribing would not be beneficial.

I've been on these for so many years and nothing has ever happened so I don’t wanna. Older adult interview, ambulatory setting [48].

Furthermore, some HCPs and patients identified several negative potential consequences of BZRA deprescribing: the return of insomnia or anxiety, withdrawal symptoms and an increase in care burden.

Without this medication, I know that my life would be plagued by anxiety, of this I am certain. (woman, no intent to taper), ambulatory setting [55].

I know that I’m creating a nightmare with follow-up. GP interview, ambulatory setting [53]

However, perception of adverse effects of long-term BZRA, and therefore potential positive effects of deprescribing, was a reported enabler in eight reports.

Answers of a panel of GPs about expected benefits: “fewer falls (n=47, 57%), better sleep (n=21), better quality of life (n=15, 18%), increased independence and unmasking depression (n=9, 11%). Benefice for the practice itself: 'better clinical practice' (n=47, 65%), reduced prescription costs (n=28, 34%)” Ambulatory setting [51].

Environmental context and resources

Environmental context and resources represent how the environment influence stakeholders’ behaviour. This appeared to be an important domain, reported in 13 of the studies, with barriers and enablers identified at micro (individual and HCP) and macro (system) levels.

At the micro level, the implementation of strategies (including multidisciplinary review and education) was reported to be effective in enhancing BZRA deprescribing [39, 55]. Some tools were perceived as helpful, while others sometimes did not reach the GPs or patients or were perceived as inadequate.

In the past I tried to stop the pill all at once. But using the tapering tool, I understood that it need to be a gradual and not a drastic process. (man, successful taper, ambulatory setting) [55]

Guidelines were criticized as out of touch with real-world problems. Ambulatory setting [50].

The environmental context at a patient level may also play an important role, with 5 studies reporting favourable or unfavourable moments in life that may encourage or discourage BZRA deprescribing. These moments might influence the person’s perception of consequences and ability to deprescribe.

Perhaps when I retire, and it is not so important that I go back to sleep, maybe I would consider it then. But right now it seems to serve a purpose. Older adult interview, ambulatory setting [53]

At the macro level, studies reported a lack of resources, highlighted by GPs. This is particularly important in a context where GPs and other HCPs have a heavy workload.

Here is the thing: We have infinite resources to prescribe pills. We have very finite and limited resources to actually educate and inform patients about the things they need to know to wean themselves off these medicines. GP interview, ambulatory setting [53]

We do not have enough time for us to follow[-up] these people. We don’t even have time to see our regular patients. GP interview, ambulatory setting [53].

Alternative strategies for treating insomnia and anxiety were few, not available, or not reimbursed. Providing these alternatives was also seen as time consuming and tedious.

Medicare... will not reimburse any Internist for a psychiatric diagnosis. Reimbursement is very low... I think if it was something that we did get reimbursed on I think you would see physicians’ attitudes a lot different. You’d be more willing to spend time. GP interview, ambulatory setting [50].

The GPs and nurses perceived that alternative strategies are more time consuming (median 5 vs. 3, NS). NH setting [38].

In one study, GPs felt that they have inherited the problem from other (older) physicians and a previous prescribing culture.

The problem is, quite frankly, that we don’t start [prescribing] the medication. Most people come in on them. They were given them by their psychiatrist ten years ago and were continued on these medicines, and we are just left with a panel that has a high prevalence [of use] through nothing that I did. GP interview, ambulatory setting [53].

In two studies, BZRA deprescribing was reported to be not prioritised by the healthcare system.

Nobody cares how many patients I have tapered off medication. GP interview, ambulatory setting [53].

Regarding NHs, three studies reported requirements of the specific setting as a barrier. Additionally, being in a specific NH [13] and some NH characteristics (such as private ownership or higher number of beds) [39] were associated with BZRA deprescribing.

The need to have all the residents in bed before the night shift starts and to have the medication round completed enhances BZD use. Nurse interview, NH setting [36].

All subjects believed that it was better to tranquillise a restless patient than to allow them to disturb other patients. study on nurses [40].

Finally, BZRA-associated expenses seem to have a very small role in BZRA deprescribing: only one study highlighted a small association between BZRA cessation and BZRA costs [47].

Intention

The intention domain refers to how inclined someone is to perform a specific behaviour. Twelve studies reported various levels of intention for BZRA deprescribing. The overall willingness of patients and HCPs was low.

When asked if they would like to stop taking the benzodiazepine, only 26% (of older adults) felt that they would. NH setting [40].

Reported intention to recommend or use alternatives, including non-pharmacological approaches, was also low.

I just don’t want to. I’m not one of those people who can sit around and talk about my problems with strangers [i.e. cognitive behavioural therapy]. Older adult interview, ambulatory setting [48].

Goals

This domain evaluates the importance of the behaviour for stakeholders. We found conflicting results regarding perceived priority of BZRA deprescribing. In five studies, BZRA deprescribing was not reported to be a priority. Indeed, other competing goals were cited by the different stakeholders. Among these, preserving quality of life was more important (five studies). In particular, for older patients, BZRA deprescribing was perceived mainly as impacting one’s well-being near end of life. Treating competing medical issues (three studies) and preserving the patient-doctor relationship (one study) were other goals reported by GPs.

If we have full schedules and only 20 minutes and people have 8 or 9 different problems, and sedative medications is one of them, it is usually not my top priority. GP interview, ambulatory setting [53].

For heaven’s sakes! I’m going to be 91 years old. What difference does it make if you give me something that . . . will hurt me in the future? Older adult interview, ambulatory setting [46].

Nine studies reported strong patient attachment to BZRA, which may reduce the perceived importance of BZRA deprescribing.

Once they find the medication that works, they are very happy and very irritated by any attempts not to prescribe this medication any longer. GP interview, ambulatory setting [53].

Two studies reported the importance of a good night of sleep as a barrier perceived by nurses and patients. However, we also found conflicting results, as two other studies reported that sleep became less important with age [55].

People need to have a good night. It is no use that they lay awake all night and that they are tired the next day and stay in bed all day. Yes I totally agree, sleep is very important in nursing homes, I think even more important than at home. People can be disturbing when they do not sleep… Nurses focus group, NH setting [36].

Nevertheless, we found one enabler in this domain: two studies reported that some patients did not like being on BZRA and wanted to decrease their sleeping pills and have a more natural sleep.

I don’t like being on them, I don’t want to be a slave to something. Older adult interview, ambulatory setting [44].

Social influences

Social influence represents how others influence stakeholders’ behaviour. Social support in general [43] and the influence of each possible stakeholder were important determinants of BZRA deprescribing, addressed in 13 of the studies. In particular, studies reported a strong reciprocal influence between GP and patient. Eight studies reported that GPs were afraid of patient resistance or lack of motivation and two studies reported that GPs felt under pressure to renew prescriptions.

Of all eight resident-specific barriers, most common among the GPs were the fear of resistance from the resident (median 9 on 10 points Likert scale). NH setting [38].

Pressure by patients to initiate or renew prescription of anxiolytics/hypnotics had previously been felt by 97.1% of GPs (67.4% often, 29.7% sometimes, 2.9% never). Ambulatory setting [54].

In several studies, patients viewed prescription by the GP as a guarantee that the BZRAs were harmless. Moreover, patients reported that their GP did not inquire about BZRA use and they took this silence as an approval to continue the drugs.

I don’t think (the doctor) is against it ... (the doctor) has never queried it. Older adult interview, ambulatory setting [44].

This finding is reinforced by the great trust patients have in their GP and confidence in their advice that was reported in four studies. As a consequence, studies reported that patients may rely on the GP’s opinion regarding the deprescribing process, which could both be a barrier or an enabler.

I have complete faith in Dr. _____. I mean we go back a lot of years. Whatever he says, goes. Older adult interview, ambulatory setting [48].

To a lesser extent, other forms of social influence were identified: in NHs, nurses reported pressure from colleagues not to attempt any change [36].

Memory, attention and decision process

This domain, focusing on habits factors and decision process regarding the studied behaviour, was reported in eight studies, with only barriers for BZRA deprescribing. Two studies reported that GPs perceive BZRA prescribing or continuous prescribing as the easiest solution.

It’s just so much easier to just prescribe something and just walk away. GP interview, ambulatory setting [50].

Seven studies reported a routine approach regarding BZRA use and prescribing for both patients and HCPs: once a BZRA is started, there is a lack of treatment reevaluation.

We do not think enough about sleep medication. People have been taking their sleeping tablets for years. There is no evaluation of whether it is still necessary or not. Nurse interview, NH setting [36].

It is just like putting a comb through your hair, it is just a thing that you are used to. Older adult interview, ambulatory setting [44].

In one study, stakeholder preference for keeping a status quo and reluctance to change was a reported barrier.

The conviction that change is not necessary as long as the resident functions well. Study on GPs and nurses, NH setting [38].

Conflicting attitudes were reported concerning the decision process by patients. On the one hand, they are reported to feel as “critical consumers who weighed the pros and cons of continuing to take nonbenzodiazepines.” [53]. On the other hand, many of them reported not being able to “recall having consulted their doctor with regards to taking a sleeping table” [40] or not considering “how long they would be taking them.” [56].

Additional TDF domains

Some relevant barriers and enablers for BZRA deprescribing were also found in other TDF domains. For all the subthemes mapped into TDF domains, more citations are available in Additional file 5.

Knowledge

Studies that investigated HCP knowledge about BZRA deprescribing mainly interrogated GPs and nurses in the NH setting. In that context, GPs were generally aware of BZRA deprescribing recommendations, that BZRA should not be renewed indefinitely, and of the withdrawal procedure [54]. NH nurses acknowledged a lack of knowledge both on benzodiazepines and their adverse effects, and on sleep hygiene and non-pharmacological approaches for anxiety or insomnia management. Among patients, six studies reported very limited knowledge about BZRA adverse effects or alternative therapies. Moreover, an improvement in patient knowledge was associated with BZRA deprescribing [55].

Skills

One study [50] reported that physicians reported a lack of a systematic strategy to address patient’s concerns regarding deprescribing. For NH nurses, one study reported a lack of skills regarding implementation of non-pharmacological approaches.

Social, professional role and identity

One study reported that the nurses’ perceived role includes reporting on patients’ sleep habits and looking for solutions [36]. Consequently, they would be helpful in a multidisciplinary process. Yet, this multidisciplinary approach is currently reported as too scarce and nurses often feel they are not listened to by GPs. For GPs, two studies reported that they felt they were expected to give something to help the patient [50, 53].

Reinforcement

In nine studies, patients and GPs indicated that they had attempted to deprescribe BZRA and failed, which was a barrier to future attempts. However, the link between these previous attempts and future attempts was not observed in all studies [37, 38].

Emotion

Only four studies reported on stakeholders’ emotions. Although some patients felt fear or anxiety regarding BZRA deprescribing [48], it could also be seen as an unimportant event [46]. For GPs, the process of BZRA deprescribing was reported as frustrating, because of the level of challenge and effort required [50, 53].

Finally, we identified two other themes that did not fit into the TDF, as they are not behaviour related. These themes were “patient characteristics” and “BZRA prescribing patterns”.

Patient characteristics

Many studies identified diverse patient characteristics associated with an increased likelihood of BZRA deprescribing: depression [43], Parkinson’s or extrapyramidal syndrome [39], dementia [39], poorer orientation score [57], aggressive behaviour [41] poorer quality of sleep [43], hospitalisation in the past 3 months [39], antidepressant use [13, 57] and widowed men [41]. Other patient characteristics were associated with a decreased likelihood of BZRA deprescribing: anxiety [49], low income [41], psychiatric history [37], higher comorbidities [41, 47], higher number of medications [13] and medical cause of sleeplessness [37]. For other characteristics, the influence on BZRA deprescribing was inconsistent across studies. Older age was associated with increased [41, 45] and decreased [38, 47] BZRA deprescribing. Some studies reported that deprescribing was higher among women than men [47], but conflicting results were also found [13, 41].

BZRA prescribing patterns

A few factors were reported as being positively associated with BZRA deprescribing: a lower BZRA dose [43, 47], a lower frequency of BZRA intake [49, 52] and a shorter duration of treatment [42]. BZRA not used for sleeping issues however reported as a barrier for deprescribing [37].

Discussion

In this systematic review of barriers and enablers for BZRA deprescribing in older adults, we included 23 studies and identified determinants in and out of TDF domains. Compared to another recent systematic review on this topic, which only included qualitative evidence [25], our approach enabled us to include more data and gain a deeper understanding of BZRA deprescribing. Consequently, we were able to report additional barriers and enablers. The use of the TDF is also valuable with regard to the implementation of future strategies.

Identified barriers and enablers

The most relevant domains were Beliefs about capabilities, Beliefs about consequences, Environmental context and resources, Intention, Goals, Social influences, and Memory, Attention and Decision Process. Most domains were relevant to the ambulatory and NH settings, but there were some specificities to the NH setting (environmental context, role of nurses).

One may wonder whether these results are specific to BZRA deprescribing, or common to deprescribing in general, as it is known that some barriers and enablers might be medication-specific [58]. As an example, BZRA are known to cause physical and psychological dependence, which may impact deprescribing. A systematic review of patient barriers and enablers for deprescribing [59] found the following barriers and enablers that can be linked to our sub-theme analysis: disagreement or agreement with appropriateness of cessation (patients’ lack of knowledge, beliefs about consequences), absence or presence of a process for cessation (tool implementation), negative or positive influences to cease medication (social influences, reinforcement), fear of cessation (beliefs about consequences, emotion) and dislike of medication (attachment to the medicine). Consequently, our results show that these general barriers and enablers also apply to BZRA deprescribing. However, we found additional barriers not reported for general medications, such as the lack of intention to use a non-pharmacological approach, or seeing BZRA as an easy solution.

Moving forward to implementation

There is a reported need to translate known barriers and enablers into strategies and tool implementation [58]. Using the TDF enables the identified relevant domains to be linked to behavioural change techniques (BCT) [60]. A recent scoping review identified the BCTs implemented in deprescribing strategies conducted in primary health care [61]. They reported a wide range of BCTs, often used in combination. BCTs were mainly mapped into functions of “environmental restructuring”, “enablement” and “persuasion”, which also seem appropriate for some of the barriers and enablers we report. A next step would be to choose from among these BCTs those that are best suited for BZRA deprescribing, based on the results of our systematic review. As an example, the barriers of “no perceived benefit” and “competing goals” could respectively be targeted by the BCTs of salience of consequences and goal setting. Combining these BCTs to create a complex strategy is more likely to be effective. As an example, the EMPOWER study used a patients’ brochure combining different BCTs, information about health consequences and instructions on how to perform a behaviour. The simple use of this brochure led to a 27% reduction in BZRA use [62]. The determinants of BZRA prescribing patterns and patient characteristics could help choose priority groups for future interventions.

One may also wonder whether past strategies have targeted the TDF domains and barriers and enablers that we reported in this systematic review. Some reviews of strategies targeting BZRA deprescribing in older adults [21, 63] or in adults in primary care [20] have reported on the effects of education, gradual dose reduction, use of alternatives, non-pharmacological approaches, tool implementation and medication review. All these strategies are individual-level (micro) strategies and target the following identified barriers: patient lack of knowledge, no perceived benefit, GP lack of systematic strategy, no intention to use non-pharmacological alternatives, difficulty of alternatives and tool implementation. Although some individual barriers and enablers have been targeted, some major behavioural determinants, such as memory, attention and decision processes or social influences domains, still need to be addressed. Moreover, our systematic review also highlighted barriers and enablers that need to be addressed at the healthcare system-level (macro), such as lack of resources. We found one systematic review of the effects of strategies targeting this macro level [64]. These strategies included making BZRA harder to prescribe, withdrawing the driving licence, promoting alternatives through campaigns, increasing the financial burden of BZRA or giving financial incentives to physicians. These policies address barriers that we identified: lack of patient knowledge, BZRA being an easy solution, competing goals and BZRA deprescribing not prioritised by healthcare systems. Nevertheless, further macro-level initiatives are needed.

In the future, implementing a BCT targeting each of the most relevant domains identified in the present review should enhance the probability of success. If possible, strategies should be developed at different levels of the healthcare system to enhance BZRA deprescribing, including the organisational (macro) level. Importantly, as barriers and enablers differ depending on stakeholders and setting, components of the strategies need to be flexible and adapted to account for this and developed in close collaboration with stakeholders.

Recommendations for future research

Among the 23 included studies, the point of view of some stakeholders was under-evaluated and deserves further exploration. Data specific to deprescribing among older adults with cognitive impairment require further investigation. Moreover, no study included informal caregivers or relatives, although such persons are particularly important in dementia patients, for example. Only one study interviewed pharmacists [46], although pharmacists are often involved in deprescribing strategies. The points of view of psychologists or psychiatrists were also not reported. As these specialists may play an important role in the implementation of non-pharmacological management of insomnia and anxiety, this is a major research gap. Additionally, the hospital setting was under-evaluated in our review, yet it may be an appropriate setting to initiate a deprescribing process.

Strengths and limitations

This review has several strengths. Firstly, including both qualitative and quantitative evidences enabled a deeper comprehension of the complex BZRA deprescribing phenomenon. Indeed, we were able to include various studies addressing this specific topic from different points of view. Secondly, using the TDF as an analysis guide is valuable for the theoretically informed development of future strategies. Thirdly, we used both deductive and inductive coding. By doing so, we were able to include barriers and enablers that did not fit the TDF and therefore develop a more complete understanding of their determinants.

This review also has several limitations. Firstly, none of the included studies used the TDF. Consequently, we had to code based on inference from the text. The use of the TDF itself was also challenging, as some items potentially fit into several domains. However, we were able to reach agreement between researchers, and asked for help from a specialised researcher when needed, which strengthens the validity of findings. Secondly, we did not include non-English literature. Thirdly, because of the qualitative approach of our analysis, we were not able to evaluate the specific effect of each barrier and enabler. Finally, the included studies were conducted in only nine countries. Therefore, it is likely that some of our results are not transferable to other countries, in particular the barriers and enablers identified in the environmental context and resource domain.

Conclusion

By systematically reviewing barriers and enablers for BZRA deprescribing, we were able to identify the most relevant TDF domains and other determinants. While similar barriers and enablers were reported across different settings of care, there are also singular barriers at the environmental context level which need to be taken into account. Future investigation should focus on the identified barriers and enablers at macro- and micro-levels, as well as addressing research gaps.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

BCT:

Behavioural change techniques

BZRA:

Benzodiazepine receptor agonists

GP:

General practitioner

HCP:

Healthcare providers

MMAT:

Mixed-methods appraisal tool

NH:

Nursing home

TDF:

Theoretical domains framework

References

  1. Glass J, Lanctot KL, Herrmann N, Sproule BA, Busto UE. Sedative hypnotics in older people with insomnia: meta-analysis of risks and benefits. BMJ (Clinical research ed). 2005;331(7526):1169.

    PubMed Central  Article  Google Scholar 

  2. Lader MH. Limitations on the use of benzodiazepines in anxiety and insomnia: are they justified? Eur. Neuropsychopharmacol. 1999;9(Suppl 6):S399–405.

    CAS  PubMed  Article  Google Scholar 

  3. Lucchetta RC, da Mata BPM, Mastroianni PC. Association between development of dementia and use of benzodiazepines: a systematic review and meta-analysis. Pharmacotherapy. 2018;38(10):1010–20.

    PubMed  Article  Google Scholar 

  4. Donnelly K, Bracchi R, Hewitt J, Routledge PA, Carter B. Benzodiazepines, Z-drugs and the risk of hip fracture: a systematic review and meta-analysis. PLoS One. 2017;12(4):e0174730.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  5. Maust DT, Lin LA, Blow FC. Benzodiazepine use and misuse among adults in the United States. Psychiatr. Serv. (Washington, DC). 2019;70(2):97–106.

    Article  Google Scholar 

  6. Pétein C, Spinewine A, Henrard S. Trends in benzodiazepine receptor agonists use and associated factors in the Belgian general older population: analysis of the Belgian health interview survey data. Ther. Adv in psychopharmacology. 2021;11:20451253211011874.

    Google Scholar 

  7. Luta X, Bagnoud C, Lambiris M, Decollogny A, Eggli Y, Le Pogam MA, et al. Patterns of benzodiazepine prescription among older adults in Switzerland: a cross-sectional analysis of claims data. BMJ open. 2020;10(1):e031156.

    PubMed  PubMed Central  Article  Google Scholar 

  8. Jacob L, Rapp MA, Kostev K. Long-term use of benzodiazepines in older patients in Germany: a retrospective analysis. Ther. Adv in psychopharmacology. 2017;7(6-7):191–200.

    CAS  Article  Google Scholar 

  9. Kurko TA, Saastamoinen LK, Tähkäpää S, Tuulio-Henriksson A, Taiminen T, Tiihonen J, et al. Long-term use of benzodiazepines: Definitions, prevalence and usage patterns - a systematic review of register-based studies. Eur. Psychiatry. 2015;30(8):1037–47.

    CAS  PubMed  Article  Google Scholar 

  10. Janus SI, van Manen JG, MJ IJ, Zuidema SU. Psychotropic drug prescriptions in Western European nursing homes. Int. Psychogeriatr. 2016;28(11):1775–90.

    PubMed  Article  Google Scholar 

  11. Bourgeois J, Elseviers MM, Azermai M, Van Bortel L, Petrovic M, Vander Stichele RR. Benzodiazepine use in Belgian nursing homes: a closer look into indications and dosages. Eur. J. Clin. Pharmacol. 2012;68(5):833–44.

    CAS  PubMed  Article  Google Scholar 

  12. Ivers NM, Taljaard M, Giannakeas V, Reis C, Williams E, Bronskill S. Public reporting of antipsychotic prescribing in nursing homes: population-based interrupted time series analyses. BMJ Quality & Safety. 2019;28(2):121–31.

    Article  Google Scholar 

  13. de Souto BP, Lapeyre-Mestre M, Cestac P, Vellas B, Rolland Y. Effects of a geriatric intervention aiming to improve quality care in nursing homes on benzodiazepine use and discontinuation. Br. J. Clin. Pharmacol. 2016;81(4):759–67.

    Article  CAS  Google Scholar 

  14. American Geriatrics Society 2019. Beers Criteria Update Expert Panel. American Geriatrics Society 2019 updated beers criteria for potentially inappropriate medication use in older adults. J Am Geriatr Soc. 2019;(67):674–94.

  15. O'Mahony D, O'Sullivan D, Byrne S, O'Connor MN, Ryan C, Gallagher P. STOPP/START criteria for potentially inappropriate prescribing in older people: version 2. Age and ageing. 2015;44(2):213–8.

    PubMed  Article  Google Scholar 

  16. Pottie K, Thompson W, Davies S, Grenier J, Sadowski CA, Welch V, et al. Deprescribing benzodiazepine receptor agonists: evidence-based clinical practice guideline. Canadian family physician Medecin de famille canadien. 2018;64(5):339–51.

    PubMed  PubMed Central  Google Scholar 

  17. Soong C, Burry L, Greco M, Tannenbaum C. Advise non-pharmacological therapy as first line treatment for chronic insomnia. Bmj. 2021;372:n680.

    PubMed  Article  Google Scholar 

  18. Reeve E, Gnjidic D, Long J, Hilmer S. A systematic review of the emerging de fi nition of 'deprescribing' with network analysis: implications for future research and clinical practice. Br. J. Clin. Pharmacol.. 2015;80(6):1254–68.

    PubMed  PubMed Central  Article  Google Scholar 

  19. Reeve E, Ong M, Wu A, Jansen J, Petrovic M, Gnjidic D. A systematic review of interventions to deprescribe benzodiazepines and other hypnotics among older people. Eur. J. Clin. Pharmacol. 2017;73(8):927–35.

    CAS  PubMed  Article  Google Scholar 

  20. Lynch T, Ryan C, Hughes CM, Presseau J, van Allen ZM, Bradley CP, et al. Brief interventions targeting long-term benzodiazepine and Z-drug use in primary care: a systematic review and meta-analysis. Addiction (Abingdon, England); 2020.

  21. Ng BJ, Le Couteur DG, Hilmer SN. Deprescribing benzodiazepines in older patients: impact of interventions targeting physicians, pharmacists, and patients. Drugs and aging. 2018;35(6):493–521.

    CAS  PubMed  Article  Google Scholar 

  22. Burry L, et al. Addressing barriers to reducing prescribing and implementing deprescribing of sedative-hypnotics in primary care. Ann Pharmacother. 2022;56(4):463–74.

  23. Sawan M, Reeve E, Turner J, Todd A, Steinman MA, Petrovic M, et al. A systems approach to identifying the challenges of implementing deprescribing in older adults across different health-care settings and countries: a narrative review. Expert Rev Clin Pharmacol. 2020;13(3):233–45.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  24. Turner JP, Edwards S, Stanners M, Shakib S, Bell JS. What factors are important for deprescribing in Australian long-term care facilities? Perspectives of residents and health professionals. BMJ open. 2016;6(3):e009781.

    PubMed  PubMed Central  Article  Google Scholar 

  25. Rasmussen AF, Poulsen SS, Oldenburg LIK, Vermehren C. The barriers and facilitators of different stakeholders when deprescribing benzodiazepine receptor agonists in older patients-a systematic review. Metabolites. 2021;11(4).

  26. Kajamaa A, Mattick K, de la Croix A. How to … do mixed-methods research. Clin. Teach. 2020;17(3):267–71.

    PubMed  PubMed Central  Article  Google Scholar 

  27. Bussieres AE, Patey AM, Francis JJ, Sales AE, Grimshaw JM, Brouwers M, et al. Identifying factors likely to influence compliance with diagnostic imaging guideline recommendations for spine disorders among chiropractors in North America: a focus group study using the Theoretical Domains Framework. Implementation science : IS. 2012;7:82.

    PubMed Central  Article  Google Scholar 

  28. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ (Clinical research ed). 2021;372:n71.

    PubMed Central  Google Scholar 

  29. Pluye P, Hong QN, Granikov V, Vedel I. The wiki toolkit for planning, conducting and reporting mixed studies reviews. Educ. Inf. 2018;34(4):277–83.

    Google Scholar 

  30. Ouzzani M, Hammady H, Fedorowicz Z, Elmagarmid A. Rayyan - a web and mobile app for systematic reviews. Syst. Rev. 2016;5:210.

    PubMed  PubMed Central  Article  Google Scholar 

  31. Hong QN, Fàbregues S, Bartlett G, Boardman F, Cargo M, Dagenais P, et al. The Mixed Methods Appraisal Tool (MMAT) version 2018 for information professionals and researchers. Educ. Inf. 2018;34(4):285–91.

    Google Scholar 

  32. Michie S, Johnston M, Abraham C, Lawton R, Parker D, Walker A. Making psychological theory useful for implementing evidence based practice: a consensus approach. Qual. Saf. Health Care. 2005;14(1):26–33.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  33. Atkins L, Francis J, Islam R, O'Connor D, Patey A, Ivers N, et al. A guide to using the Theoretical Domains Framework of behaviour change to investigate implementation problems. Implementation science : IS. 2017;12(1):77.

    PubMed  PubMed Central  Article  Google Scholar 

  34. Cane J, O'Connor D, Michie S. Validation of the theoretical domains framework for use in behaviour change and implementation research. Implementation science: IS. 2012;7:37.

  35. Hong QN, Pluye P, Bujold M, Wassef M. Convergent and sequential synthesis designs: implications for conducting and reporting systematic reviews of qualitative and quantitative evidence. Syst. Rev. 2017;6(1):61.

    PubMed  PubMed Central  Article  Google Scholar 

  36. Anthierens S, Grypdonck M, De Pauw L, Christiaens T. Perceptions of nurses in nursing homes on the usage of benzodiazepines. J. Clin. Nurs. 2009;18(22):3098–106.

    PubMed  Article  Google Scholar 

  37. Bourgeois J, Elseviers M, Van Bortel L, Petrovic M, Vander SR. Feasibility of discontinuing chronic benzodiazepine use in nursing home residents: a pilot study. Eur. J. Clin. Pharmacol. 2014;70(10):1251–60.

    CAS  PubMed  Article  Google Scholar 

  38. Bourgeois J, Elseviers MM, Azermai M, Van Bortel L, Petrovic M, Vander Stichele RR. Barriers to discontinuation of chronic benzodiazepine use in nursing home residents: perceptions of general practitioners and nurses. Eur Geriatr Med. 2014;5(3):181–7.

    Article  Google Scholar 

  39. Evrard P, Henrard S, Foulon V, Spinewine A. Benzodiazepine use and deprescribing in belgian nursing homes: results from the COME-ON study. J. Am. Geriatr. Soc. 2020.

  40. Lambson MA. Benzodiazepine use in elderly residents od a retirement village in Sandton: knowledge, attitudes and perceptions of the patients. In: the nursing staff and the prescribing doctors Johanesbourg: University of the Witwatersrand; 2003.

    Google Scholar 

  41. Maclagan L, Maxwell C, Harris D, Campitelli M, Diong C, Lapane K, et al. Sex differences in antipsychotic and benzodiazepine prescribing patterns: a cohort study of newly admitted nursing home residents with dementia in Ontario, Canada. Drugs aging. 2020.

  42. Mestres Gonzalvo C, Milosevic V, van Oijen BPC, de Wit H, Hurkens K, Mulder WJ, et al. The use of an electronic clinical rule to discontinue chronically used benzodiazepines and related Z drugs. Eur J Clin Pharmacol. 2018;74(2):227–31.

    CAS  PubMed  Article  Google Scholar 

  43. Allary A, Proulx-Tremblay V, Bélanger C, Hudon C, Marchand A, O'Connor K, et al. Psychological predictors of benzodiazepine discontinuation among older adults: results from the PASSE 60. Addict. Behav. 2020;102:N.PAG-N.PAG.

  44. Barter G, Cormack M. The long-term use of benzodiazepines: patients' views, accounts and experiences. Family practice. 1996;13(6):491–7.

    CAS  PubMed  Article  Google Scholar 

  45. Bell JS, Lavikainen P, Korhonen M, Hartikainen S. Benzodiazepine discontinuation among community-dwelling older people: a population-based cohort study. Eur J Clin Pharmacol. 2011;67(1):105–6.

    PubMed  Article  Google Scholar 

  46. Chen L, Farrell B, Ward N, Russell G, Eisener-Parsche P, Dore N. Discontinuing benzodiazepine therapy: an interdisciplinary approach at a geriatric day hospital. Can Pharm J. 2010;143(6):286–95.

    Article  Google Scholar 

  47. Chen Y, Kreling D. The effect of the Medicare Part D benzodiazepine exclusion on the utilization patterns of benzodiazepines and substitute medications. Research in social & administrative pharmacy: RSAP. 2014;10(2):438–47.

  48. Cook J, Biyanova T, Masci C, Coyne J. Older patient perspectives on long-term anxiolytic benzodiazepine use and discontinuation: a qualitative study. J. Gen. Intern. Med. 2007;22(8):1094–100.

    PubMed  PubMed Central  Article  Google Scholar 

  49. Cook J, Biyanova T, Thompson R, Coyne J. Older primary care patients' willingness to consider discontinuation of chronic benzodiazepines. Gen. Hosp. Psychiatry. 2007;29(5):396–401.

    PubMed  PubMed Central  Article  Google Scholar 

  50. Cook J, Marshall R, Masci C, Coyne J. Physicians' perspectives on prescribing benzodiazepines for older adults: a qualitative study2007 2007-3. 303-7 p.

  51. S I, HV C, R C, SC YK, S F, B W. Attitudes to long-term use of benzodiazepine hypnotics by older people in general practice: findings from interviews with service users and providers. Aging & mental health. 2004;8(3):242–8.

  52. Joester J, Vogler C, Chang K, Hilmer S. Hypnosedative use and predictors of successful withdrawal in new patients attending a falls clinic: a retrospective, cohort study. Drugs and aging. 2010;27(11):915–24.

    PubMed  Article  Google Scholar 

  53. Kuntz J, Kouch L, Christian D, Peterson P, Gruss I. Barriers and facilitators to the deprescribing of nonbenzodiazepine sedative medications among older adults. Perm. J. 2018;22:17–157.

    PubMed  PubMed Central  Google Scholar 

  54. Lasserre A, Younès N, Blanchon T, Cantegreil-Kallen I, Passerieux C, Thomas G, et al. Psychotropic drug use among older people in general practice: discrepancies between opinion and practice. J. R. Coll. Gen. Pract. 2010;60(573):e156–62.

    Article  Google Scholar 

  55. Martin P, Tannenbaum C. A realist evaluation of patients' decisions to deprescribe in the EMPOWER trial. BMJ Open. 2017;7(4).

  56. Williams F, Mahfouz C, Bonney A, Pearson R, Seidel B, Dijkmans-Hadley B, et al. A circle of silence: the attitudes of patients older than 65 years of age to ceasing long-term sleeping tablets. Aust. Fam. Physician. 2016;45(7):506–11.

    PubMed  Google Scholar 

  57. Yokoi Y, Misal M, Oh E, Bellantoni M, Rosenberg PB. Benzodiazepine discontinuation and patient outcome in a chronic geriatric medical/psychiatric unit: a retrospective chart review. Geriatr Gerontol Int. 2014;14(2):388–94.

    PubMed  Article  Google Scholar 

  58. Thompson W, Reeve E. Deprescribing: moving beyond barriers and facilitators. Res. Social Adm. Pharm. 2021.

  59. Reeve E, To J, Hendrix I, Shakib S, Roberts MS, Wiese MD. Patient barriers to and enablers of deprescribing: a systematic review. Drugs and aging. 2013;30(10):793–807.

    PubMed  Article  Google Scholar 

  60. Michie S, Johnson DW, Francis J, Hardeman W, Eccles M. From theory to intervention: mapping theoretically derived behvioural determinants to behaviour change techniques. Appl. Psychol. 2008;57:660–80.

    Article  Google Scholar 

  61. Isenor JE, Bai I, Cormier R, Helwig M, Reeve E, Whelan AM, et al. Deprescribing interventions in primary health care mapped to the Behaviour Change Wheel: a scoping review. Res. Soc. Adm. Pharm. 2021;17(7):1229–41.

    Article  Google Scholar 

  62. Tannenbaum C, Martin P, Tamblyn R, Benedetti A, Ahmed S. Reduction of inappropriate benzodiazepine prescriptions among older adults through direct patient education: the EMPOWER cluster randomized trial. JAMA Intern. Med. 2014;174(6):890–8.

    PubMed  Article  CAS  Google Scholar 

  63. Dou C, Rebane J, Bardal S. Interventions to improve benzodiazepine tapering success in the elderly: a systematic review. Aging Ment. Health. 2019;23(4):411–6.

    PubMed  Article  Google Scholar 

  64. Shaw J, Murphy AL, Turner JP, Gardner DM, Silvius JL, Bouck Z, et al. Policies for deprescribing: an international scan of intended and unintended outcomes of limiting sedative-hypnotic use in community-dwelling older adults. Healthcare policy = Politiques de sante. 2019;14(4):39–51.

    PubMed  PubMed Central  Article  Google Scholar 

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Acknowledgements

The authors would like to thank Dr. Marie de Saint Hubert and Dr. Olivia Dalleur for reviewing study protocol; Marie Longton, medical librarian for her help in search equation elaboration; and Dr. Jeremy Grimshaw and Dr. Andrea Patey, for assisting TDF use.

Funding

This research received no external funding.

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Authors

Contributions

PE and AS imagined and wrote study protocol, which was then amended by all authors (PE, CP, JBB and AS). PE and CP both independently screened and selected papers, before qualitatively analysing extracted data. For these two steps, AS was consulted in case of disagreement. Data extraction was performed by PE and checked by CP. Studies quality evaluation were independently performed by PE and CP. Data analysis was prepared by PE and CP, and interpretation was discussed at a meeting with all authors (PE, CP, JBB and AS). PE wrote the manuscript first draft, which was then amended by all authors (PE, CP, JBB and AS). The authors read and approved the final manuscript.

Corresponding author

Correspondence to Perrine Evrard.

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Supplementary information

Additional file 1.

 PRISMA 2020 Checklist.

Additional file 2.

 Research equations.

Additional file 3. 

Data extraction form.

Additional file 4.

 Quality assessment of studies included in the review.

Additional file 5.

  TDF domains, analysis subthemes and matching citations. (Contains additional citations for each analysis subtheme).

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Evrard, P., Pétein, C., Beuscart, JB. et al. Barriers and enablers for deprescribing benzodiazepine receptor agonists in older adults: a systematic review of qualitative and quantitative studies using the theoretical domains framework. Implementation Sci 17, 41 (2022). https://doi.org/10.1186/s13012-022-01206-7

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Keywords

  • Benzodiazepines
  • Deprescribing
  • Older adults
  • Barriers and enablers to implementation
  • Theoretical domains framework