Reduction of inappropriate medication in older populations by electronic decision support (the PRIMA-eDS project): a survey of general practitioners' experiences

A mixed methods analysis of the medication review intervention centered around the use of the 'Systematic Tool to Reduce Inappropriate Prescribing' Assistant (STRIPA) in Swiss primary care practices

BACKGROUND

Electronic clinical decision support systems (eCDSS), such as the 'Systematic Tool to Reduce Inappropriate Prescribing' Assistant (STRIPA), have become promising tools for assisting general practitioners (GPs) with conducting medication reviews in older adults. Little is known about how GPs perceive eCDSS-assisted recommendations for pharmacotherapy optimization. The aim of this study was to explore the implementation of a medication review intervention centered around STRIPA in the 'Optimising PharmacoTherapy In the multimorbid elderly in primary CAre' (OPTICA) trial.

METHODS

We used an explanatory mixed methods design combining quantitative and qualitative data. First, quantitative data about the acceptance and implementation of eCDSS-generated recommendations from GPs (n = 21) and their patients (n = 160) in the OPTICA intervention group were collected. Then, semi-structured qualitative interviews were conducted with GPs from the OPTICA intervention group (n = 8), and interview data were analyzed through thematic analysis.

RESULTS

In quantitative findings, GPs reported averages of 13 min spent per patient preparing the eCDSS, 10 min performing medication reviews, and 5 min discussing prescribing recommendations with patients. On average, out of the mean generated 3.7 recommendations (SD=1.8). One recommendation to stop or start a medication was reported to be implemented per patient in the intervention group (SD=1.2). Overall, GPs found the STRIPA useful and acceptable. They particularly appreciated its ability to generate recommendations based on large amounts of patient information. During qualitative interviews, GPs reported the main reasons for limited implementation of STRIPA were related to problems with data sourcing (e.g., incomplete data imports), preparation of the eCDSS (e.g., time expenditure for updating and adapting information), its functionality (e.g., technical problems downloading PDF recommendation reports), and appropriateness of recommendations.

CONCLUSIONS

Qualitative findings help explain the relatively low implementation of recommendations demonstrated by quantitative findings, but also show GPs' overall acceptance of STRIPA. Our results provide crucial insights for adapting STRIPA to make it more suitable for regular use in future primary care settings (e.g., necessity to improve data imports).

TRIAL REGISTRATION

Clinicaltrials.gov NCT03724539, date of first registration: 29/10/2018.

Exploring the role of professional identity in the implementation of clinical decision support systems-a narrative review

BACKGROUND

Clinical decision support systems (CDSSs) have the potential to improve quality of care, patient safety, and efficiency because of their ability to perform medical tasks in a more data-driven, evidence-based, and semi-autonomous way. However, CDSSs may also affect the professional identity of health professionals. Some professionals might experience these systems as a threat to their professional identity, as CDSSs could partially substitute clinical competencies, autonomy, or control over the care process. Other professionals may experience an empowerment of the role in the medical system. The purpose of this study is to uncover the role of professional identity in CDSS implementation and to identify core human, technological, and organizational factors that may determine the effect of CDSSs on professional identity.

METHODS

We conducted a systematic literature review and included peer-reviewed empirical studies from two electronic databases (PubMed, Web of Science) that reported on key factors to CDSS implementation and were published between 2010 and 2023. Our explorative, inductive thematic analysis assessed the antecedents of professional identity-related mechanisms from the perspective of different health care professionals (i.e., physicians, residents, nurse practitioners, pharmacists).

RESULTS

One hundred thirty-one qualitative, quantitative, or mixed-method studies from over 60 journals were included in this review. The thematic analysis found three dimensions of professional identity-related mechanisms that influence CDSS implementation success: perceived threat or enhancement of professional control and autonomy, perceived threat or enhancement of professional skills and expertise, and perceived loss or gain of control over patient relationships. At the technological level, the most common issues were the system's ability to fit into existing clinical workflows and organizational structures, and its ability to meet user needs. At the organizational level, time pressure and tension, as well as internal communication and involvement of end users were most frequently reported. At the human level, individual attitudes and emotional responses, as well as familiarity with the system, most often influenced the CDSS implementation. Our results show that professional identity-related mechanisms are driven by these factors and influence CDSS implementation success. The perception of the change of professional identity is influenced by the user's professional status and expertise and is improved over the course of implementation.

CONCLUSION

This review highlights the need for health care managers to evaluate perceived professional identity threats to health care professionals across all implementation phases when introducing a CDSS and to consider their varying manifestations among different health care professionals. Moreover, it highlights the importance of innovation and change management approaches, such as involving health professionals in the design and implementation process to mitigate threat perceptions. We provide future areas of research for the evaluation of the professional identity construct within health care.

Complex implementation mechanisms in primary care: do physicians' beliefs about the effectiveness of innovation play a mediating role? Applying a realist inquiry and structural equation modeling approach in a formative evaluation study

BACKGROUND

The adoption of digital health technologies can improve the quality of care for polypharmacy patients, if the underlying complex implementation mechanisms are better understood. Context effects play a critical role in relation to implementation mechanisms. In primary care research, evidence on the effects of context in the adoption of digital innovation for polypharmacy management is lacking.

STUDY AIM

This study aims to identify contextual factors relevant to physician behavior and how they might mediate the adoption process.

METHODS

The physicians who participated in this formative evaluation study (n = 218) were part of the intervention group in a cluster-randomized controlled trial (AdAM). The intervention group implemented a digital innovation for clinical decision making in polypharmacy. A three-step methodological approach was used: (1) a realist inquiry approach, which involves the description of a context-mechanism-outcome configuration for the primary care setting; (2) a belief elicitation approach, which involves qualitative content analysis and the development of a quantitative latent contextualized scale; and (3) a mediation analysis using structural equation modeling (SEM) based on quantitative survey data from physicians to assess the mediating role of the contextualized scale (n = 179).

RESULTS

The key dimensions of a (1) context-mechanism-outcome model were mapped and refined. A (2) latent construct of the physicians' innovation beliefs related to the effectiveness of polypharmacy management practices was identified. Innovation beliefs play a (3) mediating role between the organizational readiness to implement change (p < 0.01) and the desired behavioral intent of physicians to adopt digital innovation (p < 0.01; R² = 0.645). Our contextualized model estimated significant mediation, with a relative size of 38% for the mediation effect. Overall, the model demonstrated good fit indices (CFI = 0.985, RMSEA = 0.034).

CONCLUSION

Physician adoption is directly affected by the readiness of primary care organizations for the implementation of change. In addition, the mediation analysis revealed that this relationship is indirectly influenced by primary care physicians' beliefs regarding the effectiveness of digital innovation. Both individual physician beliefs and practice organizational capacity could be equally prioritized in developing implementation strategies. The methodological approach used is suitable for the evaluation of complex implementation mechanisms. It has been proven to be an advantageous approach for formative evaluation.

TRIAL REGISTRATION

NCT03430336 . First registration: 12/02/2018.

CLINICALTRIALS

gov.

Impact of suspected adverse drug reactions on mortality and length of hospital stay in the hospitalised patients: a meta-analysis

PURPOSE

To estimate the risk of mortality and length of stay in hospitalised patients who have experienced suspected adverse drug reactions (ADRs) as compared to patients who did not experience suspected ADRs.

METHODS

A systematic literature search was conducted on databases for observational and randomised controlled studies conducted in any inpatient setting that reported deaths and/or length of hospital stay in patients who had suspected ADRs and did not have suspected ADRs during hospitalisation. PRISMA guidelines were strictly followed during the review. The methodological quality of included studies was assessed using a tool designed by Smyth et al. for the studies of adverse drug reactions. The meta-analytic summary of all-cause mortality was estimated using odds ratio-OR (95% CI) and length of stay using mean difference-MD (95% CI). Both outcomes were pooled using a random effect model (DerSimonian and Laird method). Subgroup and meta-regression were performed based on study variables: study design, age group, study ward, study region, types of suspected ADRs (ADR_Ad-suspected ADRs that lead to hospitalisation and ADR_In-suspected ADRs that occur following hospitalisation), study duration, sample size and study period. The statistical analysis was conducted through the 'Review manager software version 5.4.1 and JASP (Version 0.14.1)'.

RESULTS

After screening 475 relevant articles, 55 studies were included in this meta-analysis. Patients having suspected ADRs had reported significantly higher odds of all-cause mortality [OR: 1.50 (95% CI: 1.21-1.86; I² = 100%) than those patients who did not have suspected ADRs during hospitalisation. Study wards, types of suspected ADRs and sample size were observed as significant predictors of all-cause mortality (p < 0.05). Patients having suspected ADRs had reported significantly higher mean difference in hospital stay [MD: 3.98 (95% CI: 2.91, 5.05; I² = 99%) than those patients who did not have suspected ADRs during hospitalisation. Types of suspected ADRs and study periods were observed as significant predictors of length of stay (p < 0.05).

CONCLUSION

Suspected ADRs significantly increase the risk of mortality and length of stay in hospitalised patients.

SYSTEMATIC REVIEW REGISTRATION

CRD42020176320.

Barriers and Facilitators to the Use of Clinical Decision Support Systems in Primary Care: A Mixed-Methods Systematic Review

PURPOSE

To identify and quantify the barriers and facilitators to the use of clinical decision support systems (CDSSs) by primary care professionals (PCPs).

METHODS

A mixed-methods systematic review was conducted using a sequential synthesis design. PubMed/MEDLINE, PsycInfo, Embase, CINAHL, and the Cochrane library were searched in July 2021. Studies that evaluated CDSSs providing recommendations to PCPs and intended for use during a consultation were included. We excluded CDSSs used only by patients, described as concepts or prototypes, used with simulated cases, and decision supports not considered as CDSSs. A framework synthesis was performed according to the HOT-fit framework (Human, Organizational, Technology, Net Benefits), then a quantitative synthesis evaluated the impact of the HOT-fit categories on CDSS use.

RESULTS

A total of 48 studies evaluating 45 CDSSs were included, and 186 main barriers or facilitators were identified. Qualitatively, barriers and facilitators were classified as human (eg, perceived usefulness), organizational (eg, disruption of usual workflow), and technological (eg, CDSS user-friendliness), with explanatory elements. The greatest barrier to using CDSSs was an increased workload. Quantitatively, the human and organizational factors had negative impacts on CDSS use, whereas the technological factor had a neutral impact and the net benefits dimension a positive impact.

CONCLUSIONS

Our findings emphasize the need for CDSS developers to better address human and organizational issues, in addition to technological challenges. We inferred core CDSS features covering these 3 factors, expected to improve their usability in primary care.

Primary care clinicians' use of deprescribing recommendations: A mixed-methods study

OBJECTIVE

to explore the effects of a deprescribing intervention on primary care clinicians' medication-related communication.

METHODS

A clinical decision support tool provided clinicians in the intervention group with an individualized report regarding potentially inappropriate medications (PIMs), deintensification of diabetes and/or hypertension treatment, and poor adherence/cognition. Participants included 113 Veterans aged ≥ 65 prescribed ≥ 7 medications and their primary care clinicians. Encounters were recorded and analyzed.

RESULTS

Between 36% and 38% of intervention clinicians discussed PIMs and diabetes mellitus/hypertension deintensification and 94% discussed adherence. PIMs discussions referred to the report and prompted some medication changes. The diabetes mellitus/hypertension and adherence discussions were not prompted by the report but instead arose from enhanced medication reconciliation. Changes in diabetes mellitus/hypertension medications were not made out of overtreatment concerns. There was no deprescribing for nonadherence. Enhanced medication reconciliation also led to discussions about medications not in the report.

CONCLUSION

An individualized report regarding medication appropriateness prompted clinicians to perform a more thorough medication reconciliation and discuss PIMs. It did not prompt chronic care deintensification or deprescribing to enhance adherence.

PRACTICE IMPLICATIONS

Feedback reports can promote robust medication reconciliation in primary care. Changing clinician practice to achieve deprescribing in chronic disease management will be more challenging.

Multicomponent intervention to improve blood pressure management in chronic kidney disease: a protocol for a pragmatic clinical trial

INTRODUCTION

The purpose of this study is to incorporate behavioural economic principles and user-centred design principles into a multicomponent intervention for the management of uncontrolled hypertension (HTN) in chronic kidney disease (CKD) in primary care.

METHODS AND ANALYSIS

This is a multicentre, pragmatic, controlled trial cluster-randomised at the clinician level at The Brigham and Women's Practice -Based Research Network of 15 practices. Of 220 total clinicians, 184 were eligible to be enrolled, and the remainder were excluded (residents and clinicians who see urgent care or walk-in patients); no clinicians opted out. The intervention consists of a clinical decision support system based in behavioural economic and user-centred design principles that will: (1) synthesise existing laboratory tests, medication orders and vital sign data; (2) increase recognition of CKD, (3) increase recognition of uncontrolled HTN in CKD patients and (4) deliver evidence-based CKD and HTN management recommendations. The primary endpoint is the change in mean systolic blood pressure between baseline and 6 months compared across arms. We will use the Reach Effectiveness Adoption Implementation Maintenance framework. At the conclusion of this study, we will have: (1) validated an intervention that combines laboratory tests, medication records and clinical information collected by electronic health records to recognise uncontrolled HTN in CKD patients and recommend a course of care, (2) tested the effectiveness of said intervention and (3) collected information about the implementation of the intervention that will aid in dissemination of the intervention to other practice settings.

ETHICS AND DISSEMINATION

The Human Subjects Institutional Review Board at Brigham and Women's Hospital provided an expedited review and approval for this study protocol, and a Data Safety Monitoring Board will ensure the ongoing safety of the trial.

TRIAL REGISTRATION NUMBER

NCT03679247.

Health information technology to improve care for people with multiple chronic conditions

OBJECTIVE

To review evidence regarding the use of Health Information Technology (health IT) interventions aimed at improving care for people living with multiple chronic conditions (PLWMCC) in order to identify critical knowledge gaps.

DATA SOURCES

We searched MEDLINE, CINAHL, PsycINFO, EMBASE, Compendex, and IEEE Xplore databases for studies published in English between 2010 and 2020.

STUDY DESIGN

We identified studies of health IT interventions for PLWMCC across three domains as follows: self-management support, care coordination, and algorithms to support clinical decision making.

DATA COLLECTION/EXTRACTION METHODS

Structured search queries were created and validated. Abstracts were reviewed iteratively to refine inclusion and exclusion criteria. The search was supplemented by manually searching the bibliographic sections of the included studies. The search included a forward citation search of studies nested within a clinical trial to identify the clinical trial protocol and published clinical trial results. Data were extracted independently by two reviewers.

PRINCIPAL FINDINGS

The search yielded 1907 articles; 44 were included. Nine randomized controlled trials (RCTs) and 35 other studies including quasi-experimental, usability, feasibility, qualitative studies, or development/validation studies of analytic models were included. Five RCTs had positive results, and the remaining four RCTs showed that the interventions had no effect. The studies address individual patient engagement and assess patient-centered outcomes such as quality of life. Few RCTs assess outcomes such as disability and none assess mortality.

CONCLUSIONS

Despite a growing body of literature on health IT interventions or multicomponent interventions including a health IT component for chronic disease management, current evidence for applying health IT solutions to improve care for PLWMCC is limited. The body of literature included in this review provides critical information on the state of the science as well as the many gaps that need to be filled for digital health to fulfill its promise in supporting care delivery that meets the needs of PLWMCC.

Development, validation and evaluation of the Goal-directed Medication review Electronic Decision Support System (G-MEDSS)©

OBJECTIVES

1) To understand and investigate the experiences of accredited clinical pharmacists (ACP) using computerised clinical decision support systems (CCDSS) during medication reviews for older people, including those living with dementia; 2) To design, develop, validate, and evaluate a CCDSS that incorporates pharmacological and other deprescribing tools to aid person-centred management of high-risk medications in older adults living with and without dementia.

METHODS

This study consisted of three phases and was designed on scenario-based methodology: a) the development phase, which included an exploratory survey and prototype building; b) the validation phase, which included qualitative data collection and usability testing with ACPs, general practitioners (GPs) and carers for people living with dementia; and c) the evaluation phase, using mixed-methods analyses.

RESULTS

The exploratory survey found that ACPs required a flexible, and reliable CCDSS to support them with clinical decisions regarding high-risk medication use in older adults. The Goal-directed Medication review Electronic Decision Support System (G-MEDSS)© was developed and validated using quantitative and qualitative feedback received from ACPs, GPs and carers for people with dementia. The mean (SD) System Usability Scale score was 69.0 (12.9), which indicated fair-good usability.

DISCUSSION AND CONCLUSIONS

Involving end-users in the design process refined and improved the design of G-MEDSS, allowing for a person-centred and goal-directed delivery of pharmaceutical care. G-MEDSS allows healthcare practitioners conducting medication reviews for older adults living with and without dementia to tailor pharmaceutical care to meet their goals and preferences. Future studies may explore integration of G-MEDSS with prescribing or dispensing software.

A narrative review of evidence to guide deprescribing among older adults

Potentially inappropriate prescription and polypharmacy are well‐known risk factors for morbidity and mortality among older adults. However, recent systematic reviews have failed to demonstrate the overall survival benefits of deprescribing. Thus, it is necessary to synthesize the current evidence to provide a practical direction for future research and clinical practice. This review summarizes the existing body of evidence regarding deprescribing to identify useful intervention elements. There is evidence that even simple interventions, such as direct deprescribing targeted at risky medications and explicit criteria‐based approaches, effectively reduce inappropriate prescribing. On the other hand, if the goal is to improve clinical outcomes such as hospitalization and emergency department visits, patient‐centered multimodal interventions such as a combination of medication review, multidisciplinary collaboration, and patient education are likely to be more effective. We also consider the opportunities and challenges for deprescribing within the Japanese healthcare system.

Process evaluation of implementation strategies to reduce potentially inappropriate medication prescribing in older population: A scoping review

OBJECTIVES

Several implementation strategies can reduce potentially inappropriate medication (PIM) prescribing. Although use of PIMs has declined in recent years, it remains prevalent. Various strategies exist to improve the appropriateness of medication use. However, little is known about the processes of these different implementation strategies. This scoping review aims to investigate how the process evaluation of implementation strategies for reducing PIM prescribing in the older population has been studied.

METHODS

We searched for process evaluations of implementation strategies for reducing PIM prescribing in PUBMED, SCOPUS and Web of Science published between January 2000 and November 2019 in English. We applied the following inclusion criteria: patients aged ≥65 years, validated PIM criteria, and implementation process evaluated. The review focuses on decision support for health care professionals. We described the findings of the process evaluations, and compared the authors' concepts of process evaluation of the included publications to those of Proctor et al.( 2010).

RESULT

Of 9131 publications screened, 29 met our inclusion criteria. Different process evaluation conceptualizations were identified. Most process evaluations took place in the initial stages of the process (acceptability, adoption, appropriateness, and feasibility) and sustainability and implementation costs were seldom evaluated. None of the included publications evaluated fidelity. Multifaceted interventions were the most studied implementation strategies. Medication review was more common in acceptability evaluations, multidisciplinary interventions in adoption evaluations, and computerized systems and educational interventions in feasibility evaluations. Process evaluations were studied from the health care professionals' viewpoint in most of the included publications, but the management viewpoint was missing.

DISCUSSION

The conceptualization of process evaluation in the field of PIM prescribing is indeterminate. There is also a current gap in the knowledge of sustainability and implementation costs. Clarifying the conceptualization of implementation process evaluation is essential in order to effectively translate research knowledge into practice.

Medical Decision Support to Reduce Unwarranted Methylene Tetrahydrofolate Reductase (MTHFR) Genetic Testing

Most major national medical associations have advised against routine MTHFR testing since at least 2013. However, many providers continue to order this unwarranted genetic test. This study assessed the efficacy of an electronic best practice alert to aid ordering providers. We tracked the rate of MTHFR tests ordered per 1 million patients in the twelve months before and after the implementation of an alert that suggested an alternative test. Associated factors including the ordering department, diagnosis, patient sex, and patient age were also analyzed. Chi square analysis was used to compare the difference between pre- and post-alert test ordering rates. A total of 997 MTHFR analysis were ordered in Southern California Kaiser Permanente from January 2017 through December 2018. Overall, the average MTHFR monthly test ordering rates dropped significantly from 12.93 per million patients in 2017 to 7.08 per million patients in 2018 (p = 0.0056). However, testing rates in children were unchanged and, in some associated diagnoses, such as psychiatric illnesses and neurodevelopmental conditions, the testing rates increased. Recommending an alternate test in lieu of the unwarranted one significantly reduced the overall rate of MTHFR testing. The alert was most effective for specialties and diagnoses where MTHFR was historically medically indicated. This suggests such alerts are an effective intervention that health care systems can implement to serve as an educational update and to reduce unwarranted genetic testing.

Use of an electronic decision support tool to reduce polypharmacy in elderly people with chronic diseases: cluster randomised controlled trial

OBJECTIVE

To evaluate the effects of a computerised decision support tool for comprehensive drug review in elderly people with polypharmacy.

DESIGN

Pragmatic, multicentre, cluster randomised controlled trial.

SETTING

359 general practices in Austria, Germany, Italy, and the United Kingdom.

PARTICIPANTS

3904 adults aged 75 years and older using eight or more drugs on a regular basis, recruited by their general practitioner.

INTERVENTION

A newly developed electronic decision support tool comprising a comprehensive drug review to support general practitioners in deprescribing potentially inappropriate and non-evidence based drugs. Doctors were randomly allocated to either the electronic decision support tool or to provide treatment as usual.

MAIN OUTCOME MEASURES

The primary outcome was the composite of unplanned hospital admission or death by 24 months. The key secondary outcome was reduction in the number of drugs.

RESULTS

3904 adults were enrolled between January and October 2015. 181 practices and 1953 participants were assigned to electronic decision support (intervention group) and 178 practices and 1951 participants to treatment as usual (control group). The primary outcome (composite of unplanned hospital admission or death by 24 months) occurred in 871 (44.6%) participants in the intervention group and 944 (48.4%) in the control group. In an intention-to-treat analysis the odds ratio of the composite outcome was 0.88 (95% confidence interval 0.73 to 1.07; P=0.19, 997 of 1953 v 1055 of 1951). In an analysis restricted to participants attending practice according to protocol, a difference was found favouring the intervention (odds ratio 0.82, 95% confidence interval 0.68 to 0.98; 774 of 1682 v 873 of 1712, P=0.03). By 24 months the number of prescribed drugs had decreased in the intervention group compared with control group (uncontrolled mean change -0.42 v 0.06: adjusted mean difference -0.45, 95% confidence interval -0.63 to -0.26; P<0.001).

CONCLUSIONS

In intention-to-treat analysis, a computerised decision support tool for comprehensive drug review of elderly people with polypharmacy showed no conclusive effects on the composite of unplanned hospital admission or death by 24 months. Nonetheless, a reduction in drugs was achieved without detriment to patient outcomes.

TRIAL REGISTRATION

Current Controlled Trials ISRCTN10137559.