Literature DB >> 31562155

Delivering the right information to the right person at the right time to facilitate deprescribing in hospital: a mixed methods multisite study to inform decision support design in Australia.

Melissa T Baysari1,2, Mai Duong3, Wu Yi Zheng1,2, Amy Nguyen2,4, Sarita Lo5, Brendan Ng6, Angus Ritchie7,8, David Le Couteur9, Andrew McLachlan10, Alexandra Bennett11, Sarah Hilmer3,12.   

Abstract

OBJECTIVES: To inform the design of electronic decision support (EDS) to facilitate deprescribing in hospitals we set out to (1) explore the current processes of in-hospital medicines review, deprescribing and communication of deprescribing decisions with the patient's general practitioner (GP), (2) identify barriers to undertaking these tasks and (3) determine user preferences for EDS.
DESIGN: Multimethod, multisite study comprising observations, semistructured interviews and focus groups.
SETTING: General medicine, geriatric medicine and rehabilitation wards at six hospitals in two local health districts in Sydney, Australia and primary care practices in one primary healthcare district in Sydney, Australia. PARTICIPANTS: 149 participants took part in observations, interviews and focus groups, including 69 hospital doctors, 13 nurses, 55 pharmacists and 12 GPs. MAIN OUTCOME MEASURES: Observational data on who was involved in medicines review and deprescribing, when medicines review took place, and what artefacts (eg, forms) were used. Participants reported perceptions of medicines review, polypharmacy and deprescribing and preferences for EDS.
RESULTS: Deprescribing, undertaken during medicines review, was typically performed by a junior doctor, following a decision to deprescribe by a senior doctor. Key barriers to deprescribing included a perception that deprescribing was not the responsibility of hospital doctors, a lack of confidence among junior doctors and pharmacists in broaching this topic with senior doctors and a lack of patient engagement in the deprescribing process. In designing EDS, the tools, likely to be used by junior doctors, pharmacists and nurses, should be available throughout the hospitalisation and should comprise non-interruptive evidence-based guidance on why and how to deprescribe.
CONCLUSIONS: Deprescribing decisions are complex and influenced by multiple factors. The implementation of EDS alone is unlikely to address all barriers identified. To achieve sustained improvements in monitoring of polypharmacy and subsequent deprescribing, a multifaceted intervention is needed. © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  decision support; deprescribing; polypharmacy

Year:  2019        PMID: 31562155      PMCID: PMC6773288          DOI: 10.1136/bmjopen-2019-030950

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


This multimethod, multisite study comprised an in-depth investigation of medicines review and deprescribing with a large number of multidisciplinary clinicians. By complementing interviews with in situ observation, we were able to validate some participants’ perceptions with objective data. Our results are primarily drawn from interviews and may be subject to biases associated with self-report. The perceptions and practices described may not be generalisable to other clinical services or different settings.

Introduction

Potentially inappropriate polypharmacy occurs in approximately half of older hospitalised patients internationally and is not usually addressed during routine hospital care.1 2 Addressing inappropriate polypharmacy in older inpatients is essential to meet the Third WHO Global Patient Safety Challenge: ‘Medication Without Harm’, which targets high risk situations, polypharmacy and transitions of care, aiming to reduce avoidable harm related to medications by 50% over 5 years.3 The hospital setting provides an opportunity for undertaking comprehensive medication reviews, one possible outcome of which is deprescribing. Deprescribing, defined as the cessation of a potentially inappropriate medication, supervised by a healthcare professional with the goal of managing polypharmacy and improving health outcomes,4 is gaining momentum internationally.4–6 As hospitals are increasingly transitioning from paper-based medication charts to electronic order entry systems, an opportunity exists to integrate decision support and guidance for medication review and deprescribing into these systems. There is now good evidence to show that when well-designed and targeted, electronic decision support (EDS) can have significant impacts on care outcomes.7–9 This is applicable to decision support targeting potentially inappropriate prescribing, with two recent reviews determining that computerised interventions are effective in reducing potentially inappropriate prescribing in hospitalised patients.10 11 However, there are also an increasing number of studies demonstrating that decision support is ignored or not used by clinicians.12 13 In fact, both above-mentioned reviews highlighted this problem and stressed the importance of working with users to ensure that decision support is relevant and aligns well with clinician workflow.10 11 Small-scale, single-site studies have explored provider awareness and barriers to medication review and deprescribing14–16 but an in-depth understanding of current processes and barriers across different provider groups and settings is required in order to design EDS for hospital practice to align well with the workflow of all users. EDS can facilitate decision making if it provides the right information at the right time to the right person.9 However, determining the right information and identifying the right time and person to target are challenging. The aim of this study was to explore the current processes of in-hospital medicines review, deprescribing and communication of deprescribing with the patient’s general practitioner (GP). In particular, we aimed to identify barriers to undertaking these tasks, and to explore user preferences for decision support, in order to inform the design of EDS to support these key processes.

Method

A multimethods approach was used comprising observations of clinicians (doctors and pharmacists) and interviews and focus groups with clinicians (hospital doctors, nurses, pharmacists and GPs).

Setting and participants

This study was undertaken at six hospitals in two local health districts and in primary care practices in one primary healthcare district in Sydney, Australia. These districts were selected because they were located in different socioeconomic regions in Sydney. Small, medium and large hospitals in each region were included as study sites. See supplementary file for additional information on study context. Table 1 outlines details of the study sites at the time of data collection and the participants who took part. All hospitals used a commercial clinical information system, PowerChart (current code level 2015, Cerner Corporation, Kansas City, Missouri, USA: https://www.cerner.com), but only one hospital used electronic medication management at the time of data collection.
Table 1

Study site information and details of interviews, focus groups and observations undertaken

Type of hospital, approximate number of bedsClinical information systems, paper systemsNumber of participants interviewedApproximate hours of observationNumber of participants observed
Site ATertiary referral, >500Electronic ordering for tests and imaging Electronic progress notes Paper-based medication charts11 Doctors, 7 nurses, 21 pharmacists17 hours13 doctors, 1 pharmacist
Site BTertiary referral and rehabilitation, >500Electronic ordering for tests and imaging Electronic progress notes Electronic medication charts20 Doctors 15 pharmacists21 hours16 Doctors, 2 pharmacists
Site CAcute district, 100–199Electronic ordering for tests and imaging Electronic progress notes Paper-based medication charts6 hours2 Doctors
Site DGeriatric and rehabilitation, 50–99Electronic ordering for tests and imaging Paper-based progress notes Paper-based medication charts1 Pharmacist7.5 hours8 Doctors, 1 pharmacist
Site EAcute district and rehabilitation, 100–199Electronic ordering for tests and imaging Paper-based progress notes Paper-based medication charts11 Pharmacists
Site FAcute district and rehabilitation, 200–500Electronic ordering for tests and imaging Paper-based progress notes Paper-based medication charts11 Doctors, 6 nurses 5 pharmacists
Primary care12 GPs

Some participants took part in both observations and interviews.

Study site information and details of interviews, focus groups and observations undertaken Some participants took part in both observations and interviews. To recruit hospital participants, researchers attended existing education sessions and ward meetings to deliver brief presentations on the project, and posters were displayed on wards. Relevant clinical leads were also informed of the study and asked to direct interested participants to researchers. To recruit GPs, advertisements were sent out through the local primary care health network promotional channels and interested participants contacted the researcher directly. In total, 149 clinicians participated in the study across six hospitals and the community (69 hospital doctors, 55 pharmacists, 13 nurses and 12 GPs). The study included hospital-based doctors, nurses and pharmacists who work in geriatric medicine, general medicine and rehabilitation wards at each site. Approximately 52 hours of observation were undertaken across four hospitals (table 1 and supplementary file).

Data collection

Observations of hospital clinicians

Researchers (two pharmacists and a geriatrician) shadowed hospital clinicians as they completed routine tasks related to medicines review and collected detailed handwritten notes on the following: who was involved in medicines review and deprescribing, where medicines review took place and what artefacts (eg, forms, electronic systems) were used. Researchers also classified the type of medicines review that they observed into either (1) an initial review at admission to hospital, (2) a review during a patient’s stay (ie, follow-up) or (3) a review at discharge from hospital.

Interviews and focus groups with hospital-based clinicians and GPs

Semistructured interviews and focus groups with hospital clinicians focused on four main areas: the current process of medicines review, polypharmacy, deprescribing and preferences for EDS. Interview questions are presented in the supplementary file. Semistructured interviews and focus group with GPs in primary care practices focused on four main areas: perceptions of the current process of medicines review in hospital, polypharmacy, deprescribing and preferences for communication of in-hospital deprescribing on discharge to improve continuity of medication management after review in hospital.

Data analysis

Handwritten notes were taken during observations and were collated to enable identification of key elements of medicines review and deprescribing. Interviews and focus groups were audio-recorded, transcribed verbatim and de-identified. An iterative general inductive approach was used for analysis.17 Three researchers independently reviewed de-identified transcripts and coded the data. The four focus areas (medicines review, polypharmacy, deprescribing and EDS) guided initial coding of the transcripts. Multidisciplinary researchers, including clinicians, EDS specialists and researchers with expertise in qualitative research, met periodically throughout data collection to discuss and compare identified themes. Any disagreements in themes were discussed until a consensus was reached.

Public and patient involvement statement

No patients or the public were involved in any stage of the research process for this study.

Ethics approval

Written informed consent was obtained from all participants in the study.

Results

Medicines review—the current process

In total, 117 instances of medicines review were observed across four hospitals. Table 2 summarises the data collected from observations.
Table 2

Characteristics of medicines reviews and episodes of deprescribing observed during 52 hours of observations across four Sydney hospitals

Site ASite BSite CSite D
Number of times observed
Medicine reviews39451221
Type of medicine reviewInitial review5913
Follow-up2330514
Discharge11664
Location of medicine review*Hallway161997
Patient bedside1931810
Other (eg, office)7625
Type of device used*COW2637105
Computer at JMO/registrar workstation3322
Computer at pharmacy workstation31
Medicine reviews where deprescribing occurred15 (38%)24 (53%)4 (33%)7 (33%)
In deprescribing cases:
Provider who requested the change to a medicationConsultant111116
Registrar31031
JMO3
Pharmacist1
Provider who changed the medicationConsultant2
Registrar6745
JMO9152
Artefacts accessed* Italicised artefacts are those accessed via the electronic medical record Paper medication chart1146
Patient list41211
Observations21
Progress notes 13143
Test results 81832
Medication list 8
MAR/MAR Summary 20
  Orders (medications, pathology) 652
Observations 46
External resources (CIAP to access AMH, MIMS, eTG) 151

*Numbers are greater than total events observed as single events could have included multiple locations, devices and artefacts.

AMH, Australian Medicines Handbook; CIAP, Clinical Information Access Portal; COW, computer  on wheels; JMO, junior medical officer; MAR, Medication Administration Record; MIMS, Monthly Index of Medical Specialties, eTG, Electronic Therapeutic Guidelines.

Characteristics of medicines reviews and episodes of deprescribing observed during 52 hours of observations across four Sydney hospitals *Numbers are greater than total events observed as single events could have included multiple locations, devices and artefacts. AMH, Australian Medicines Handbook; CIAP, Clinical Information Access Portal; COW, computer  on wheels; JMO, junior medical officer; MAR, Medication Administration Record; MIMS, Monthly Index of Medical Specialties, eTG, Electronic Therapeutic Guidelines. During interviews and focus groups with hospital staff, participants demonstrated an inconsistent understanding of what medicines review was and of what it involved. Participants spoke about obtaining a best possible medication history, undertaking medication reconciliation and reviewing inpatient medication charts. A pharmacist said: By med review, are you talking about the first med review, when you’re doing the history and the whole full thing or are you talking about a daily or every two days, whatever you might do, have a new order, check the new antibiotic and see if it’s appropriate, are there any interactions? That also can be called a med review. (P1013) And a doctor: I think it’s a little undefined in terms of who does it, and depending on the time of the day, even the day of the week, you’ll have different people doing it. (D4004) Most participants explained that a medicines review was undertaken within a few days of admission and triggered at certain time points in a patient’s journey, such as transfer between settings (eg, emergency department to the ward) and at discharge from hospital. This is consistent with what we observed on wards (see table 2). During discussions with staff, it became apparent that medicines review was perceived to be the role of doctors, both senior and junior, and of pharmacists. Participants reported that common triggers for medicines review were patient factors (eg, age, comorbidities), medication-related factors (eg, high risk medicines) and requests from other healthcare providers. The information that participants reported accessing during medicines review depended on their understanding of the process. For example, participants noted that key information sources for medication reconciliation were GPs, patients, families, residential aged care facilities and pharmacies. Participants who viewed medicines review as a review of the inpatient medication chart described accessing inpatient notes, medications and pathology results. This is consistent with what we observed (table 2).

Barriers to medicines review

The main barrier reported to impact on medicines review was limited time. A pharmacist said: Obviously, ideally, you would want to do that medication review after you do that history taking. But then, you have so many patients that come in that all need history taking… we just don’t have time. (P2004) Other reported barriers were short length of stay (preventing a detailed review) and missing or unreliable information in clinical information systems.

Awareness and understanding of polypharmacy

Participants appeared to have a strong understanding of polypharmacy, with many emphasising that it is not simply the number of medications that a patient is taking, but also whether the medications are needed. Clinicians discussed the concept of inappropriate polypharmacy for the individual patient. A doctor said: I think of polypharmacy probably more as contextual in the sense of what can the patient manage and what are the indications. (D1026) And a pharmacist: ‘Irrational medications’ is a good definition because some patients would require a lot of medications, much more than five, but if they’re rational, that’s fine. If they’re just sort of added on and never reviewed, then that comes into my definition of polypharmacy. (P1010) A nurse explained: The person will be prescribed a new medication and they may have some side effects from the medication, but without investigating that, they’re given more medication to treat the side effects. So that’s the cascade effect. And a lot of them aren’t necessary, so that’s why we should be deprescribing. (N1008)

Deprescribing—the current process

Participants viewed deprescribing as the process of rationalising a patient’s medications. That is, stopping or reducing the dose of medications when the harms outweigh the benefits or when medications are no longer needed. A doctor said: Considering the risk benefit profile of that medication, so it might have an indication, but does the indication outweigh the risk? (D4015) Deprescribing was reported to occur during medicines review, as an outcome of the review. Participants reported that registrars and consultants were primarily responsible for deprescribing, although junior doctors did deprescribe medications where it was clear to them that there was no current indication (eg, common electrolytes, antihypertensives, proton pump inhibitors and analgesics) and/or medications that were causing adverse effects in the patient. A junior doctor explained: It’s kind of difficult because in that situation it’s like we have no agency, like the consultant comes in we’re gonna slash this, this, and this. (D4039) A pharmacist said: They’re [JMOs are] not the ones making that decision, but they are the ones that enter it. (P5001) Data obtained from observations were consistent with these views. As shown in table 2, senior doctors, including consultants and registrars, were observed to make the deprescribing decisions (in 92% of deprescribing episodes), although it was the junior doctors who made many of the changes to medication orders. Consultants were observed to manually change a medication order only in two instances.

Barriers to deprescribing

A large number of barriers to deprescribing were identified via our interviews and focus groups with hospital staff. Although some senior geriatricians viewed deprescribing to be a central part of their role, a key barrier that emerged from interviews was that hospital clinicians, particularly junior staff, did not view deprescribing to be their responsibility. They viewed their primary responsibility to be treating the acute health problem(s), not patients’ chronic health conditions. Some participants were explicit in saying that they believed it was the GP’s responsibility to deprescribe but not that of the hospital doctor. A hospital doctor said: Well, I rarely stop patient’s medicines…I don’t think I do—unless, it’s contraindicated or something, I would never really deprescribe because maybe the GP has put them on it for a particular reason. (D1063) A large number of pharmacists also explained that they thought hospital doctors were reluctant to deprescribe: And the doctors here are reluctant to make any changes or to stop anything because they said, ‘If the GP started it, there probably is a reason why the GP started it’, and so they go back into the community with those same medications that they came in on plus the additional ones that have been started. (P3006) Some hospital participants, especially more junior or less experienced staff, discussed fear or insecurity associated with deprescribing. A junior doctor explained: As a JMO, I would feel uncomfortable deprescribing unless I ran it pass the registrar first and make sure they were happy. (D4040) And a pharmacist: It really depends on the confidence of that registrar in making that decision, the clinical decision. Because they really vary in how they feel about making the call. And I think I sense a lot of fear about deprescribing. (P3009) Some pharmacists and GPs indicated that a patient’s hospital stay was an ideal time to deprescribe. However, GPs also recognised that in-hospital deprescribing was likely to be dependent on the reason for a patient’s admission and the team caring for a patient. Another key barrier to deprescribing identified was patients, particularly when excluded from or not engaged in the deprescribing decision. A pharmacist said: I just feel sad for the patient and I think we need to bring them more into the discussion and get them on board because otherwise they’re just going to go home and keep taking them. (P3003) And a doctor explained: When they [patients] go home, if you haven’t counselled, educated, whatever, they don’t know you changed things, they’re just going to do whatever they want, they’ll just revert to their normal medications. So that engagement of the patient in the deprescribing is very important… (D2012) GPs also highlighted the important role patients play in deprescribing. The patient’s got to understand why and how it’s [deprescribing] going to happen, and that they’re going to have a sort of collaborative relationship with the GP for them to get rid of stuff and monitor for side effects, monitor for interactions. (GP7003) Other barriers to deprescribing included not being able to contact the initial prescriber and complexity of deprescribing. Hospital doctors explained that they were reluctant to deprescribe when deprescribing was not straightforward (eg, if weaning of the medication was complex, or it would be difficult to determine the side effects of deprescribing).

Communication of deprescribing decisions

Communication of deprescribing was reported to be primarily via the discharge summary. Hospital clinicians said that it was important to clearly communicate what is being stopped, why (including the current indication) and how (including time frame). Any in-hospital deprescribing was unlikely to be successful or sustained if not communicated effectively to the GP and to the patient. This was consistent with what was valued by GPs. GPs viewed communication of the reasons why medications were changed or ceased by clinicians in hospital to be critical for them to continue the deprescribing process. A GP explained: If they said the reason why certain medications are being altered or amended or stopped or started, with a reason and then sometimes there’s a follow up action… so recommend to review it in X period of time or to check their blood pressure in a certain period of time, that’s the most useful because you can completely see the perspective having not seen what happened in the hospital. You can get a window into the rationale behind it, and then clinically you’re able to follow up with a sensible plan. (GP7001) Some GPs also expressed a preference for receiving direct communication for complex patient cases. GPs felt that effective communication of in-hospital deprescribing to GPs would facilitate continuity of care. If well-informed, GPs with strong, long-standing relationships with patients would then be able to communicate medication changes to their patients, ensuring that patients are aware of how and why changes had been made.

Preferences for EDS

Table 3 summarises the main preferences expressed by participants with respect to the content, form and recipients of EDS.
Table 3

User preferences for electronic decision support

ThemeIllustrative quotes
Content of EDSWhy and how to deprescribe An evidence-based sort of way of deprescribing or dose reduction, yeah definitely. (Doctor 4040)
When we call the doctors to say we recommend you deprescribe, we need to have a reason why we’re recommending to deprescribe it. (Pharmacist 1018)
Form of EDSElectronic guidelines How to do the deprescribing…a guideline…where you can quickly just look up and then see if the person’s yes or no. (Pharmacist 3007)
No alerts And often a lot of these auto prompts become common enough to the point where we sort of start ignoring them on purpose. This detailed prompting is actually worsening patient care. (Doctor 4003)
The tricky thing with alerts is there’s definitely that sense of alert fatigue where you’re just like, ‘Oh I’m sick of this. So close, nah. I’m not even following you out of spite.’ (Doctor 4002)
Traffic light system I think colour’s a nice idea. (Doctor 4012)
Recipients of EDSPharmacists That would take some of the work off the teams…it then puts the onus onto the pharmacists…to say how big a deal is it? Get the pharmacists to talk to registrar on the ward. (Doctor 1028)
Senior doctors But also getting the right target. So I think it’s the consultants and the registrars making a lot of the decisions. So, hounding the intern continuously with alerts, they may pass on the message? Maybe targeting the people who are more likely to make the deprescribing decision. (Doctor 4004)
Users of the electronic system I suppose the JMOs do most of the prescribing. Well the actual typing it out and all, hand writing stuff. They’re probably your biggest people to target. (Pharmacist 5001)
Those with limited knowledge And that’s where I think it’s like a grammar and spell check. I mean if you’re confident, you don’t use it. You just go on, that’s great, I don’t need anyone to check my spelling. But if you’re not, then you use something. (Doctor 2009)
User preferences for electronic decision support

Content and format of decision support

When doctors, nurses and pharmacists were asked about EDS to facilitate deprescribing in older inpatients, their responses were highly variable. A frequent suggestion was guidelines on how to effectively deprescribe potentially inappropriate medicines, with clear rationale for deprescribing, including advice on who to consult and how to communicate deprescribing decisions. Participants emphasised that guidance on what to do (ie, actions to take) needed to be accompanied by strong evidence for why those actions were needed. This would provide pharmacists, nurses and more junior medical staff with material to support deprescribing when consulting with senior clinicians. Regarding the form EDS should take, clinicians were adamant that alerts would not be effective because too many alerts would result in alert fatigue. Almost all participants were opposed to the idea of using alerts to indicate when deprescribing may be appropriate. Instead, participants liked the idea of a traffic light system, where colour is used to indicate risk of adverse outcomes due to polypharmacy. Participants expressed a preference for short, simple advice that is easy to access (ie, a few clicks away) and integrates well into current workflows.

Recipients of decision support

Many participants, particularly doctors, indicated a preference for directing the EDS to pharmacists. Clinicians felt that this would result in more of the information being reviewed. Pharmacists could then communicate key potential harms and benefits to doctors. Related to this, participants believed that communication of advice in person was likely to be more effective than communication via a computer. With respect to doctors as the recipients of EDS, participants were divided, with some indicating that junior doctors should be the target, and others indicating that it should be more senior doctors. One pharmacist questioned the value of designing decision support embedded in the electronic system, as this would not target the senior clinicians and ultimately render the decision support ineffective. In terms of the decision being made on the patient, you’re targeting the lowest kind of person who has the least authority for making decisions for the patient, by making a decision support tool that sits within eMR [electronic medical record]. (P1018) Other participants stressed the importance of directing decision support to those with limited knowledge (ie, those working outside of geriatrics).

Discussion

Wide engagement with hospital doctors, nurses and pharmacists revealed variable understanding of medicines review and what this process involved. Despite this, our observational data confirmed that all clinicians undertook medicines review and were fairly consistent in how this was performed. Polypharmacy and deprescribing were well understood by all participants. The act of deprescribing was typically performed by junior doctors and occurred during medicines review under the instruction of senior doctors. We identified a number of barriers to deprescribing, primarily a perception that deprescribing was not the responsibility of hospital doctors, a lack of confidence among junior doctors and pharmacists in broaching this topic with senior doctors and a lack of patient engagement in the deprescribing process. Hospital staff and GPs reported that with improved communication between hospitals and GPs on how and why deprescribing occurred, these decisions were more likely to be sustained. In consolidating our results, we aimed to inform the design of EDS by determining the right information to provide, the right time to provide it and the right person to target.9 As deprescribing decisions were made at multiple time points throughout a patient’s admission, particularly during a patient’s initial medicines review, the EDS would need to be available at all times or ‘on-demand’ to accommodate various clinical workflows. As decision support would be embedded within the electronic medical record, it follows that the recipients of the EDS would be the users of the electronic system. Our observations confirmed that junior doctors, pharmacists and nurses used the system to a much greater extent than the primary decision-makers (senior doctors), a finding consistent with other research.13 Thus, the EDS would need to be informative and relevant so as to motivate users to initiate a conversation with the senior clinician. Junior doctors, pharmacists and nurses expressed a strong preference for guidance on not only how to deprescribe but also why, this latter information required to support deprescribing when consulting with senior doctors. Finally, EDS should facilitate communication of information about in-hospital deprescribing, including what medications were changed and why, to patients’ primary care providers. We found strong resistance among users to the implementation of interruptive alerts to signal patient risk or polypharmacy. Alerts are frequently used form of decision support but are often not read.18 Alert fatigue, a consequence of too many false-positive alerts being triggered, is a common and persistent problem.19 Opposition to the inclusion of alerts in our study is therefore not surprising and is consistent with previous reviews of EDS for deprescribing, which highlight the challenges of using alerts.10 11 The barriers to deprescribing we identified in our study are in-line with those reported in previous research, including a diffusion of responsibility and low self-efficacy (ie, confidence in knowing when to approach senior staff).14–16 20 In overcoming these barriers, EDS is likely to represent only one component of a multifaceted intervention. EDS can prompt users when patients are at risk of polypharmacy and subsequently provide junior doctors, nurses and pharmacists with evidence to alert and influence the senior clinicians, increasing perceived competence and self-confidence. However, to shift perceptions of roles and responsibilities, it is likely that an additional approach will be needed. For example, the Behaviour Change Wheel, a well-known framework of behaviour change interventions,21 suggests that beliefs about professional role (ie, motivation) are influenced by training and by policy change such as regulation. Interestingly, Australia’s updated standards for hospital accreditation include in-hospital medication review and shared decision making with consumers.22 A key result that emerged from our study was the vital role that patients play in deprescribing. Both hospital staff and GPs emphasised the importance of engaging patients in the process in order to ensure continuity of care and prevent represcribing. The benefits of shared decision making are well known,23 24 although research has suggested that it is not often practiced.25 EDS can facilitate patient engagement in deprescribing to some extent by, for example, automatically populating deprescribing decisions into a patient’s discharge summary, providing GPs with the critical information to reiterate and reinforce decisions made in hospital to the patient. In addition, communication between in-hospital clinicians and patients on rationale, expectations and preferences is likely to result in a more effective approach than EDS alone, in ensuring deprescribing decisions are understood, agreed with, and sustained, which is a focus of our ongoing research.

Strengths and weaknesses of the study

This study comprised an in-depth investigation of medicines review and deprescribing with a large number of multidisciplinary clinicians. By complementing interviews with in situ observation, we were able to validate some participants’ perceptions with objective data, although we acknowledge that our results are primarily drawn from interviews and may be subject to biases associated with self-report. The perceptions and practices described are likely to be representative of geriatric medicine, general medicine and rehabilitation wards in metropolitan Sydney teaching hospitals and may not be generalisable to other clinical services or different settings. In particular, while addressing the patient’s chronic disease management (which includes medication review) is considered part of standard comprehensive geriatric assessment and best practice for older adults admitted to hospital,26 this may not be the standard model of care for other hospital specialties or primary care settings such as nursing homes.

Conclusion

Deprescribing, undertaken during medicines review, is often performed by a junior doctor, following a decision to deprescribe by a senior doctor. In designing effective decision support for deprescribing in the electronic medical record, the EDS, likely to be used by junior doctors, pharmacists and nurses, should be available throughout the hospitalisation and should comprise non-interruptive evidence-based guidance on why and how to deprescribe. Deprescribing decisions are complex and influenced by multiple factors. Thus, the implementation of EDS alone may not result in sustained improvements in review of polypharmacy and subsequent deprescribing. Our future work will focus on developing and refining EDS design, while developing complementary interventions with clinicians and patients.
  24 in total

Review 1.  Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review.

Authors:  Amit X Garg; Neill K J Adhikari; Heather McDonald; M Patricia Rosas-Arellano; P J Devereaux; Joseph Beyene; Justina Sam; R Brian Haynes
Journal:  JAMA       Date:  2005-03-09       Impact factor: 56.272

2.  The influence of computerized decision support on prescribing during ward-rounds: are the decision-makers targeted?

Authors:  Melissa T Baysari; Johanna I Westbrook; Katrina L Richardson; Richard O Day
Journal:  J Am Med Inform Assoc       Date:  2011-06-14       Impact factor: 4.497

3.  Optimising computerised alerts within electronic medication management systems: A synthesis of four years of research.

Authors:  Melissa T Baysari; Johanna I Westbrook; Katrina Richardson; Richard O Day
Journal:  Stud Health Technol Inform       Date:  2014

4.  Too much medicine in older people? Deprescribing through shared decision making.

Authors:  Jesse Jansen; Vasi Naganathan; Stacy M Carter; Andrew J McLachlan; Brooke Nickel; Les Irwig; Carissa Bonner; Jenny Doust; Jim Colvin; Aine Heaney; Robin Turner; Kirsten McCaffery
Journal:  BMJ       Date:  2016-06-03

5.  Unnecessary drug use in frail older people at hospital discharge.

Authors:  Emily R Hajjar; Joseph T Hanlon; Richard J Sloane; Catherine I Lindblad; Carl F Pieper; Christine M Ruby; Laurence C Branch; Kenneth E Schmader
Journal:  J Am Geriatr Soc       Date:  2005-09       Impact factor: 5.562

Review 6.  Guidance to manage inappropriate polypharmacy in older people: systematic review and future developments.

Authors:  Derek Stewart; Alpana Mair; Martin Wilson; Przemyslaw Kardas; Pawel Lewek; Albert Alonso; Jennifer McIntosh; Katie MacLure
Journal:  Expert Opin Drug Saf       Date:  2016-12-04       Impact factor: 4.250

7.  Best Practices in Clinical Decision Support: the Case of Preventive Care Reminders.

Authors:  Adam Wright; Shobha Phansalkar; Meryl Bloomrosen; Robert A Jenders; Anne M Bobb; John D Halamka; Gilad Kuperman; Thomas H Payne; Sheila Teasdale; Allen J Vaida; David W Bates
Journal:  Appl Clin Inform       Date:  2010       Impact factor: 2.342

Review 8.  Comprehensive geriatric assessment for older adults admitted to hospital.

Authors:  Graham Ellis; Mike Gardner; Apostolos Tsiachristas; Peter Langhorne; Orlaith Burke; Rowan H Harwood; Simon P Conroy; Tilo Kircher; Dominique Somme; Ingvild Saltvedt; Heidi Wald; Desmond O'Neill; David Robinson; Sasha Shepperd
Journal:  Cochrane Database Syst Rev       Date:  2017-09-12

9.  A pilot survey of junior doctors' attitudes and awareness around medication review: time to change our educational approach?

Authors:  Barry Jubraj; Vanessa Marvin; Alan J Poots; Shreena Patel; Iñaki Bovill; Nina Barnett; Laurel Issen; Derek Bell
Journal:  Eur J Hosp Pharm       Date:  2015-06-03

Review 10.  Prescriber barriers and enablers to minimising potentially inappropriate medications in adults: a systematic review and thematic synthesis.

Authors:  Kristen Anderson; Danielle Stowasser; Christopher Freeman; Ian Scott
Journal:  BMJ Open       Date:  2014-12-08       Impact factor: 2.692

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  5 in total

1.  Should Hospital Admission Be Used as an Opportunity for Deprescribing in Older Adults?

Authors: 
Journal:  Can J Hosp Pharm       Date:  2020-10-01

2.  Iterative Development of Clinician Guides to Support Deprescribing Decisions and Communication for Older Patients in Hospital: A Novel Methodology.

Authors:  M H Duong; A J McLachlan; A A Bennett; N Jokanovic; D G Le Couteur; M T Baysari; D Gnjidic; F Blyth; S N Hilmer
Journal:  Drugs Aging       Date:  2020-11-30       Impact factor: 3.923

3.  Supporting deprescribing in hospitalised patients: formative usability testing of a computerised decision support tool.

Authors:  Melissa T Baysari; Mai H Duong; Patrick Hooper; Michaela Stockey-Bridge; Selvana Awad; Wu Yi Zheng; Sarah N Hilmer
Journal:  BMC Med Inform Decis Mak       Date:  2021-04-05       Impact factor: 2.796

Review 4.  Managing Polypharmacy in Older Adults with Cancer Across Different Healthcare Settings.

Authors:  Andrew Whitman; Paige Erdeljac; Caroline Jones; Nicole Pillarella; Ginah Nightingale
Journal:  Drug Healthc Patient Saf       Date:  2021-04-29

5.  Development and Validation of Comprehensive Healthcare Providers' Opinions, Preferences, and Attitudes towards Deprescribing (CHOPPED Questionnaire).

Authors:  Iva Bužančić; Maja Ortner Hadžiabdić
Journal:  Pharmacy (Basel)       Date:  2022-07-01
  5 in total

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