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Improving medication management for patients with multimorbidity in primary care: a qualitative feasibility study of the MY COMRADE implementation intervention

Pilot and Feasibility Studies20173:14

https://doi.org/10.1186/s40814-017-0129-8

Received: 9 August 2016

Accepted: 16 February 2017

Published: 20 March 2017

Abstract

Background

For the majority of patients with multimorbidity, the prescription of multiple long-term medications (polypharmacy) is indicated. However, polypharmacy poses a risk of adverse drug events, drug interactions and excessive treatment burdens. To help general practitioners (GPs) conduct more comprehensive medication reviews for patients with multimorbidity, we developed the theoretically-informed MultimorbiditY COllaborative Medication Review And DEcision Making (MY COMRADE) implementation intervention. In this study, we assessed the feasibility and acceptability of MY COMRADE by GPs.

Methods

A non-randomised feasibility study using a qualitative framework approach was conducted. General practices were recruited by purposively sampling from interested GPs attending continuing professional development meetings (CPD) in southwest Ireland. Participating practices were instructed on the MY COMRADE implementation intervention which has five components: (i) action planning; (ii) allocation of protected time; (iii) peer-supported medication review; (iv) use of a prescribing checklist and (v) self-incentives (allocation of CPD points). GPs in participating practices agreed to conduct medication reviews on multimorbid patients from their own caseload using the MY COMRADE approach. After completing these reviews, qualitative interviews were conducted to evaluate GPs’ experiences of the intervention and were analysed using the framework method.

Results

GPs from ten practices participated in the study. The GPs reported that MY COMRADE was an acceptable approach to implementing medication review in general practice, especially for complex patients with multimorbidity. Action plans for the medication reviews varied between practices, but all reviews led to recommendations for optimising medications and patient safety. Many GPs felt that using the MY COMRADE approach would ultimately lead to more efficient use of their time, but a minority felt that the time and cost implications of using two GPs to review medications would not be sustainable unless greater incentives were used.

Conclusions

This study demonstrates that MY COMRADE is an acceptable and feasible approach to supporting comprehensive medication reviews for patients with multimorbidity. These findings indicate that a large scale trial of the effectiveness of MY COMRADE is now required to fully evaluate its potential to change prescribing behaviour and improve downstream outcomes such as prescribing appropriateness and treatment burden.

Trial registration

ISRCTN registry: ISRCTN34837446.

Background

Internationally, healthcare policy makers strive to deliver generalist management of chronic disease in a primary care setting [1]. Over 50% of patients with chronic disease have multimorbidity (multiple chronic diseases) [2], which can lead to challenges in the provision of clinical care foremost of which is the management of multiple medications [3]. Multimorbidity is associated with higher rates of potentially inappropriate prescribing and adverse drug effects [4]; therefore, it is recommended that patients with multimorbidity have their medications reviewed periodically [5]. However, uncertainty about how to balance guideline adherence and minimising the negative effects of polypharmacy can deter primary care physicians or general practitioners (GPs) from actively reviewing medications for their multimorbid patients [6, 7]. As the prevalence of multimorbidity continues to rise, interventions to support structured medication review for patients with multimorbidity are a priority [8].

Existing approaches to enhancing medication review in general practice incorporate pharmacists [9], geriatricians [10] or clinical decision support systems [11]. Systematic reviews of the effects of these interventions have shown inconsistent results with only limited evidence to show that they reduce medication-related problems or lead to meaningful clinical improvements [911].

In response to these limitations, we developed a novel implementation intervention to support medication review by GPs for patients with multimorbidity. Implementation interventions are complex interventions that aim to align clinical behaviour with evidence-based practice [12]. The Medical Research Council UK (MRC) states that if such interventions are informed by empirical data and theory, they are easier to evaluate, more likely to be implemented and more likely to be worth implementing [13].

We followed the guidance of the MRC by first conducting a synthesis of the existing evidence about GPs’ perceptions of managing multimorbidity (see Fig. 1) [14]. We added to this by conducting a qualitative interview study with GPs on medication management in multimorbidity [15]. We found that when the management of patients with multimorbidity gets complicated, GPs often seek advice from each other [15]. These discussions between GPs take place on an informal basis and are rarely documented in the medical notes, yet they represent an important source of peer support for decision-making in primary care. We developed an implementation intervention that takes advantage of these discussions by formalising them as structured medication reviews for patients with multimorbidity. We applied theories of behaviour (the COM-B), models of intervention design (the Behaviour Change Wheel) and taxonomies of behaviour change techniques to our empirical data to develop the Multimorbidity COllaborative Medication Review And DEcision Making (MY COMRADE) implementation intervention [16]. In the MY COMRADE implementation intervention, two GPs use protected time to conduct a structured medication review and generate an optimised medication management plan for a complex multimorbid patient together.
Fig. 1

Key steps in the development and feasibility testing of the MY COMRADE intervention, following stages of the UK Medical Research Council guidance on the development and evaluation of complex interventions in healthcare [30]

Although using empirical evidence and theoretical methods in the development of MY COMRADE increases its likelihood of success, the MRC guidance also stresses the importance of conducting feasibility and pilot studies of new interventions in real-world conditions prior to conducting larger and more costly evaluations of effectiveness. Feasibility and pilot studies can address key uncertainties, inform refinements and identify problems that might occur in an ensuing definitive trial of a complex intervention or can determine whether a full-scale study of an intervention is warranted [17]. In a framework of pilot and feasibility studies proposed by Eldridge et al. [17], a feasibility study for a future definitive randomised controlled trial asks whether the future trial can be done, should be done and, if so, how (see top box in Fig. 1). Pilot studies are a subset of feasibility studies: they ask the same questions about feasibility but have a particular design feature: in a pilot study (that might or might not be randomised), the future definitive trial, or part of it, is conducted on a smaller scale.

Therefore, prior to conducting a larger trial of MY COMRADE, we conducted this study to examine the feasibility of the MY COMRADE approach to implementing structured medication review for patients with multimorbidity. We assessed feasibility by examining three key uncertainties: is MY COMRADE acceptable to GPs; is it adaptable by GPs working in different contexts and do recommendations for medication optimisation arise from the medication reviews.

Methods

Study design

A non-randomised feasibility study of the MY COMRADE implementation intervention was conducted, using a qualitative framework approach.

Setting and participants

The study was conducted between December 2014 and July 2015. General practices were recruited by purposively sampling from interested GPs attending continuing professional development meetings (CPD) in southwest Ireland. A brief description of the study was provided by one researcher (CS), and GPs who were interested signed a clipboard. From this list, practices were purposively sampled by location (urban/rural), practice size (≤3 GPs/>3 GPs) and GP training practice (yes/no). The only inclusion criterion was that practices have at least two qualified GPs. It was agreed a priori that ten practices manifesting this range of criteria would be sufficient to demonstrate feasibility [16]. The researcher (CS) visited each practice to describe the implementation intervention to GPs and to advise them on how they should proceed with using it. Written information and instruction leaflets were also provided (Additional files 1 and 2).

The intervention

The development and specification of the implementation intervention are described in detail elsewhere [16]. In summary, MY COMRADE includes five behaviour change techniques (labelled below in italics). The principal behaviour change technique is peer support: two GPs conduct a structured medication review together to generate an optimised medication management plan for a complex multimorbid patient. The medication review is guided by a prescribing checklist (prompts and cues), which is provided to GPs in paper form and was adapted from the published “NO TEARS” medication review tool (Additional file 3) [18]. The other three behaviour change techniques are: (i) developing a practice action plan for conducting the reviews (action planning); (ii) allocating protected time within the GPs’ schedule to conduct the reviews (restructuring of the social environment) and (iii) recording the activity for the purposes of CPD points for GPs (self-incentives).

Procedure

In each practice, GPs were asked to select complex multimorbid patients who were either prescribed ten or more medications or five or more medications with another complicating factor (i.e. impaired cognition, psychosocial complexity, poor life expectancy, etc.) from their caseload. They agreed to conduct medication reviews for at least six of these patients using the MY COMRADE approach. They were advised that each medication review would take approximately 10–15 min.

Evaluation and outcomes

We evaluated GPs’ experiences of the intervention in semi-structured interviews after they had completed their medication reviews. The topic guide for the interviews was informed by the implementation outcome framework [19] [20] (topic guide provided in Additional file 4). This framework includes eight implementation outcomes (acceptability, adoption, appropriateness, feasibility, fidelity, implementation cost, coverage and sustainability) which we aligned with our research objectives. We also asked GPs to describe how they conducted their collaborative reviews and any recommendations on medications that arose in each review. We encouraged GPs to refer to notes they had made during the medication reviews to help them recount the details of each case.

Analysis

All evaluation interviews were audio-recorded, transcribed verbatim and entered into NVivo software to facilitate data coding. Field notes and memos were also analysed. We used the framework approach for data analysis [21]. After familiarisation and immersion in the transcripts, sections of data were indexed into the eight headings of the implementation outcome framework, which were in turn mapped to the three specific research objectives. We mapped data on acceptability and adoption to the first research objective (i.e. if MY COMRADE was acceptable to GPs) and used data on the implementation cost and sustainability to develop a subtheme on longer term acceptability. We mapped feasibility and fidelity to the second research objective (i.e. adaptability by GPs working in different contexts) and mapped appropriateness and coverage to the third research objective (i.e. if recommendations for medication optimisation arose from the medication reviews). Inductive themes that did not fit with the a priori framework were added to the matrix. Themes and subthemes were compared across practices to map the range of experiences, provide explanations and find associations. All interviews were indexed, charted and analysed by CS, and three interviews were separately indexed and analysed by CB and MB. In a consensus meeting, all three researchers presented their analysis, discussed divergent accounts and refined emerging themes. The study was approved by the Clinical Research Ethics Committee, University College Cork (ECM3(vvvvv)19/11/14). The Template for Intervention Description and Replication (TIDIER) checklist was used to guide the study report.

Results

From the GPs who expressed an interest in the study, 15 were contacted before ten practices agreed to participate (10/15, 66%). Practice characteristics are shown in Table 1.
Table 1

Characteristics of the practices participating in the feasibility study

 

% of practices (n)

Practice location

 Rural

20 (2)

 Urban

50 (5)

 Mixed

30 (3)

Size of practice

 ≤3 GPs

40 (4)

 >3 GPs

60 (6)

GP training practice

 Yes

50 (5)

 No

50 (5)

Is MY COMRADE acceptable to GPs?

In all interviews, GPs reported positive experiences of the intervention. Many said it sounded acceptable at first hearing:

I felt I had something to gain and my patients had something to gain as well. I emailed you (back) very quickly because I was positive about the whole thing. gp4

Other GPs felt it would help them with patients they were worried about:

the minute we heard about it, patients pop up in your head-you know these ones who are on like 15 tablets and they are really complicated. gp11

The focus of the intervention on prescribing was a key factor:

The whole prescribing issue is a potential mine field… anything that concentrates my brain or helps me be a little bit more circumspect on what we are prescribing is a good thing. gp2

The use of peer support was viewed as acceptable because it was compatible with the GPs’ usual behaviour in practice:

There’s hardly a day goes by where I don’t say can I talk to you about this or she says can I talk to you about that gp9

Cost and sustainability

For GPs, the biggest perceived cost of MY COMRADE was time. The duration of the reviews (5 to 30 min) varied with the GPs’ knowledge of the patient, the number of medications prescribed and the number of problems exposed. Additional work was often generated by the reviews such as referral to specialists; contacting local pharmacists and multiple consultations with patients to discuss potential changes. The majority of GPs did not feel negatively about this work, seeing it as part of their job and potentially time saving in the end:

I wouldn’t really call it additional workload because if it’s in the patient’s interest its part of my work. gp4

Regarding sustainability, many GPs said they intended to continue using the intervention as it was practical, useful and relevant and had potential benefits for patient care. Others felt that external factors were needed to ensure it was sustained, such as financial remuneration or punitive measures (i.e. external audit of medications).

How was the implementation intervention adapted by GPs?

We determined how GPs implemented and adapted the five behaviour change techniques incorporated into MY COMRADE, by asking about the feasibility of and fidelity to the intervention. The results are shown in Table 2. All participating practices implemented the intervention but as implementation took longer in some practices than others, we began to set specific dates for follow-up interviews. The imposed deadline may have led to fewer collaborative reviews in some practices, but it revealed the competing demands on GPs’ time as they tried to fit the intervention into existing practice. The median number of MY COMRADE reviews per GP pair was 4 (interquartile range 3–5.75).
Table 2

Implementation of the five behavioural change techniques in the MY COMRADE intervention by participating practices

 

Practice number

1

2

3

4

5

6

7

8

9

10

Action planning

+

+

+

+

+

+

Restructuring social environment

+

+

+

+

+

+

+

+

+

Social support

+

+

+

+

+

+

+

+

+

+

Prompts and cues (checklist)

+

+

+

+

+

+

+

+

+

Self-incentives (CPD points)

+

+

+

+

+

Number of medication reviews completed

4

4

3

6

6

3

8

3

1

5

  1. 1.

    Action planning

    Action plans varied from agreeing to conduct the reviews before or after consultation sessions, to using time already allocated to non-consultation activities (i.e. practice meetings) for reviews. Three practices planned to use gaps in their schedules to conduct reviews opportunistically—this approach only worked if one of the GPs was championing the intervention (Practices 3, 7, 10).

     
  2. 2.

    Restructuring of the social environment

    GPs reported two benefits to conducting medication reviews outside of consultations. First, they could focus on the medications without being distracted by the patients’ presenting crisis or catastrophe or issue with the hospital or something gp14. Second, GPs liked going into the consultation already prepared for making suggestions, reporting that it was easier to discuss it with someone else first gp11.

     
  3. 3.

    Social support

    Articulating and justifying patients’ medications to another GP appeared to be the most important component of the implementation intervention. GPs who experimented with conducting reviews on their own (using only the checklist) reported that the collaborative approach was better as it revealed their prescribing “blind spots” and was often quicker than doing it alone. GPs adapted the intervention by conducting reviews with a pharmacist (Practice 1) or a specialist (Practice 9): this approach also led to recommendations for medication change and provided reassurance to GPs. Two GPs conducted reviews with patients: they reported these reviews took longer, were more confusing for the GP and did not generate the same clear actionable recommendations (Practice 5 and 7).

     
  4. 4.

    Prompts and cues

    All but one practice used the prescribing checklist in reviews. GPs reported that the checklist was necessary for giving early reviews as structure, but they referred to it less frequently as time went on. The checklist continued to be useful in cases where the GP had no pre-existing concerns about the medications, by directing and prompting review of the entire prescription.

     
  5. 5.

    Self-incentives

    Although gaining CPD points was not a primary motivating factor for participating GPs, they all reported that they would record the reviews for CPD purposes.

     

What recommendations for medication optimisation arose from the reviews?

Every review led to recommendations for optimisation of medications. In many cases, GPs were shocked at the number of recommendations that arose:

It was amazing, took us right out of our comfort zone. I thought at the worst we would find one or two things that we might change … But in each of the cases, we were able to question about 50% of their actual meds gp9

The most common recommendation involved de-prescribing medications for which there was no clear indication (Practices 1, 3–7, 10), new evidence for use (Practices 4, 7, 8, 10) or a duplicate (Practices 1, 3, 4, 6–8). Recommendations for de-prescription most commonly involved bisphosphonates, high-dose proton pump inhibitors, statins and aspirin for primary prevention, long-term analgesics and benzodiazepines.

In some reviews, the recommendations included updating tests and vaccinations (Practices 1, 2, 4, 5, 7, 8), and ensuring patients were getting adequate follow-up from specialist teams (Practice 2, 4, 7, 8). The reviews led to updating patients’ records (Practices 1, 4–8, 10) and highlighting patient specific risks (i.e. allergies) (Practices 1, 4, 7). Indicated preventative medications were added or adjusted in Practices 1, 2, 4, 7, 9.

Discussing recommendations with patients

This was an inductive subtheme within the theme of recommendations arising from the reviews. GPs varied in their approach to discussing the recommendations with patients: some waited until the patient’s next consultation while others called patients in to discuss their recommendations. GPs said that patients reacted favourably to hearing their case had been discussed at a practice level. Most patients agreed to making the recommended changes but after discussion with the GP, a minority (n = 2) opted not to.

Discussion

Prior to conducting a larger trial of MY COMRADE, we needed to demonstrate the feasibility of the intervention by addressing key uncertainties. Our key uncertainties relate to our three research objectives (is MY COMRADE acceptable to GPs; is it adaptable by GPs working in different contexts and do recommendations for medication optimisation arise from the medication reviews). By addressing these questions using a systematic approach and empirical evidence, the feasibility of the intervention has been confirmed.

Our findings show that an implementation intervention using protected time and peer support supported the conduct of comprehensive structured medication reviews. The intervention was acceptable to GPs; was readily adaptable by GPs working in different contexts and led to optimised medication management plans for all of the complex multimorbid patients that were reviewed. These findings are encouraging and indicate that proceeding to a larger scale trial evaluation of MY COMRADE is worthwhile. The study has also provided important information in preparation for the future trial. For example, we were interested in how GPs adapted the five behaviour change techniques in MY COMRADE to the context of their own practices [22]. Peer support appeared to be the key technique in generating recommendations for medication optimisation, but GPs innovated in where they found this support. While other professional sources (i.e. pharmacist, specialist) were reported to be useful, conducting the review with patients only was not: therefore, professional social support will be a compulsory component of any future iterations of the intervention. Insufficient time appeared to be the only reason participants did not do all six reviews, and many GPs felt that incentives are needed to support and sustain allocation of their time to this activity. This may not be intervention specific: when a system is over constrained with competing demands, as is the case in Irish general practice, the resources needed to make any new intervention succeed may be unavailable [23]. However, more substantial incentives may lever behaviour change and warrant consideration prior to embarking on a large scale evaluation of MY COMRADE.

The aim of MY COMRADE is to implement an evidence-based practice: medication review for patients with multimorbidity. Ultimately, we would like to show that MY COMRADE positively impacts on outcomes such as prescribing appropriateness and cost savings due to reductions in unnecessary medications. However, these outcomes are further down the causal pathway and are influenced by a host of other factors. We have not focused on outcomes down the causal pathway in this study to avoid underestimating the value of the implementation intervention to positively change behaviour in line with best practice [24].

Comparison with other work

Many interventions to support medication review in primary care have used pharmacists (10–12). These interventions have shown inconsistent results and evidence of their impact on clinical outcomes is lacking. Furthermore, such approaches are not a pragmatic option in Irish healthcare where few publically funded community pharmacists exist [25]. Our study showed that the MY COMRADE implementation intervention enabled GPs to identify and rectify suboptimal prescribing without requiring input from external personnel (i.e. a pharmacist) other than robust, reliable and credible internet sources of prescribing information (i.e. the British National Formulary).

Alternative approaches to medication review utilise computer decision support or integration of multiple guidelines. These approaches do not incorporate professional judgement or provide the peer support that difficult clinical decisions often require in patients with multimorbidity [26]. In contrast, peer-supported reviews permit professional judgement, individualised care and can help maintain professional standards [27].

In MY COMRADE, two GPs undertake a structured medication review, and together, they generate an optimised medication management plan for a complex multimorbid patient. Evidence of the value of collaborative decision-making between GPs to improve patient care, such as quality circles or practice-based small group learning programmes, has emerged in recent years and supports the intra-disciplinary nature of our intervention [27]. Quality circles and related groups provide an opportunity for reflective practice and discussion of troubling or challenging patient cases between GPs. Evidence shows that these groups can reduce medication costs, improve the prescribing of generic medications [2729], and provide social support and protection against GP burnout [30]. In an exploration of cases brought by GPs to such a programme, many related to complexities in the management of patients with multimorbidity [30].

Strengths and limitations

We developed this implementation intervention in line with the guidance issued by the MRC. Although the MRC advocates the use of the theory in the development of complex interventions [13], some researchers have questioned the usefulness of theory in this process [31, 32]. In our experience, applying theory to bottom-up data has led to an intervention which fits appropriately with existing practice and has shown real potential to change GPs’ prescribing behaviour.

To address pre-existing uncertainties associated with MY COMRADE, we used the framework method together with the implementation outcome framework [19, 20]. Framework analysis was specifically designed for data analysis in health services research, making it an appropriate choice for this work [21].

For practical reasons, we relied on self-report in the evaluation. While self-report may not be as accurate as direct observation, the interviews were conducted as soon as possible after the reviews to improve GPs’ recall and reliability [33]. Furthermore, many implementation outcomes may be best assessed using participants’ expressed attitudes and opinions, intentions or reported behaviours [19, 20].

We used our sample to purposively explore implementation in diverse practice contexts rather than to be statistically representative. The GPs who volunteered for this study are more likely to be early innovators or adopters of any improvement intervention. However, the characteristics of participating practices improve the generalisability of our results, something that implementation studies are frequently criticised for [20, 32].

While the qualitative findings from the feasibility study suggest that MY COMRADE has the potential to impact on referrals to secondary care, inappropriate prescribing and improve metrics of chronic disease care, the full scope and magnitude of effect associated with this approach has yet to be determined. Additionally, while the feasibility study addressed key uncertainties relating to the intervention’s acceptability, it did not test all uncertainties which must be answered prior to proceeding with a definitive trial of effectiveness of MY COMRADE. A pilot randomised controlled trial is now required to answer these uncertainties which include: choosing the most appropriate means for recruitment and randomisation of practices and patients; determining the time and staff requirements at the level of participating practices and the level of the research team; clarifying means of data collection from practices and patients; answering questions regarding the expected level of correlation within practices and choosing the most appropriate primary outcome for the definitive trial. Feasibility studies may be followed by pilot studies [17]; in this case, we feel such linear progression is warranted and will ultimately enhance the rigour and efficiency of the definitive trial.

Conclusions

The MY COMRADE implementation intervention is a response to the call for interventions to support medication management in patients with multimorbidity. The intervention utilises protected time and peer support to facilitate structured medication review by GPs and generate an optimised medication management plan for a complex multimorbid patient. In this feasibility study, we found that MY COMRADE is acceptable to GPs, is adaptable to individual general practices and consistently leads to the generation of recommendations for medication optimisation. These findings suggest that MY COMRADE has the potential to make a significant contribution in improving clinical outcomes for patients with multimorbidity and justify the conduct of a larger scale trial of the intervention’s effectiveness.

Abbreviations

CPD: 

Continuing professional development

GP: 

General practitioner

MRC: 

Medical Research Council

MY COMRADE: 

MultimorbiditY COllaborative Medication Review And DEcision Making

Declarations

Acknowledgements

The authors would like to gratefully acknowledge the time and efforts of the GPs who participated in this study and the support of the Cork Faculty of the Irish College of General Practitioners in facilitating GP recruitment. The support of the South East GP Training Programme in facilitating Dr. Sinnott's clinician academic fellowship is gratefully acknowledged.

Funding

The Health Research Board and the Health Service Executive, Ireland, (HRB/NSAFP/2011/3 to CS) and the Health Research Board Research Leader Award (RL/2013/8 to MB). The sponsors had no role in the study design, data collection, data analysis, data interpretation, writing of the report or in the decision to submit the paper.

Availability of data and materials

The qualitative datasets generated and analysed during the current study are available from the corresponding author on reasonable request.

Authors’ contributions

CS designed the study, recruited the participants, completed the interviews, carried out the data coding, analysis and interpretation and wrote the manuscript. MB contributed to the study design; coded, analysed and interpreted the interview data; and critically reviewed the manuscript. CB contributed to the study design; coded, analysed and interpreted interview data; and critically reviewed the manuscript. All authors read and approved the final manuscript.

Competing interests

All authors have completed the ICMJE uniform disclosure form at www.icmje.org/coi_disclosure.pdf and declare: no support from any organisation for the submitted work; no financial relationships with any organisations that might have an interest in the submitted work in the previous 3 years; no other relationships or activities that could appear to have influenced the submitted work.

Consent for publication

Not applicable.

Ethics approval and consent to participate

The study was approved by the Clinical Research Ethics Committee, University College Cork (ECM3(vvvvv)19/11/14).

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Department of General Practice, Western Gateway Building, University College Cork
(2)
Health Behaviour Change Research Group, School of Psychology, National University of Ireland

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