Unintended discontinuation of medication following hospitalisation: a retrospective cohort study.

OBJECTIVES: Whether unintended discontinuation of common, evidence-based, long-term medication occurs after hospitalisation; what factors are associated with unintended discontinuation; and whether the presence of documentation of medication at hospital discharge is associated with continuity of medication in general practice. DESIGN: Retrospective cohort study between 2012 and 2015. SETTING: Electronic records and hospital supplied discharge notifications in 44 Irish general practices. PARTICIPANTS: 20 488 patients aged 65 years or more prescribed long-term medication for chronic conditions. PRIMARY AND SECONDARY OUTCOMES: Discontinuity of four evidence-based medication drug classes: antithrombotic, lipid-lowering, thyroid replacement drugs and respiratory inhalers in hospitalised versus non-hospitalised patients; patient and health system factors associated with discontinuity; impact of the presence of medication in the hospital discharge summary on continuity of medication in a patient's general practitioner (GP) prescribing record at 6 months follow-up. RESULTS: In patients admitted to hospital, medication discontinuity ranged from 6%-11% in the 6 months posthospitalisation. Discontinuity of medication is significantly lower for hospitalised patients taking respiratory inhalers (adjusted OR (AOR) 0.63, 95% CI (0.49 to 0.80), p<0.001) and thyroid medications (AOR 0.62, 95% CI (0.40 to 0.96), p=0.03). There is no association between discontinuity of medication and hospitalisation for antithrombotics (AOR 0.95, 95% CI (0.81 to 1.11), p=0.49) or lipid lowering medications (AOR 0.92, 95% CI (0.78 to 1.08), p=0.29). Older patients and those who paid to see their GP were more likely to experience increased odds of discontinuity in all four medicine groups. Less than half (39% to 47.4%) of patients had medication listed on their hospital discharge summary. Presence of medication on hospital discharge summary is significantly associated with continuity of medication in the GP prescribing record for lipid lowering medications (AOR 1.64, 95% CI (1.15 to 2.36), p=0.01) and respiratory inhalers (AOR 2.97, 95% CI (1.68 to 5.25), p<0.01). CONCLUSION: Discontinuity of evidence-based long-term medication is common. Increasing age and private medical care are independently associated with a higher risk of medication discontinuity. Hospitalisation is not associated with discontinuity but less than half of hospitalised patients have medication recorded on their hospital discharge summary.

Impact of medication reconciliation for improving transitions of care.

BACKGROUND: Transitional care provides for the continuity of care as patients move between different stages and settings of care. Medication discrepancies arising at care transitions have been reported as prevalent and are linked with adverse drug events (ADEs) (e.g. rehospitalisation).Medication reconciliation is a process to prevent medication errors at transitions. Reconciliation involves building a complete list of a person's medications, checking them for accuracy, reconciling and documenting any changes. Despite reconciliation being recognised as a key aspect of patient safety, there remains a lack of consensus and evidence about the most effective methods of implementing reconciliation and calls have been made to strengthen the evidence base prior to widespread adoption. OBJECTIVES: To assess the effect of medication reconciliation on medication discrepancies, patient-related outcomes and healthcare utilisation in people receiving this intervention during care transitions compared to people not receiving medication reconciliation. SEARCH METHODS: We searched CENTRAL, MEDLINE, Embase, seven other databases and two trials registers on 18 January 2018 together with reference checking, citation searching, grey literature searches and contact with study authors to identify additional studies. SELECTION CRITERIA: We included only randomised trials. Eligible studies described interventions fulfilling the Institute for Healthcare Improvement definition of medication reconciliation aimed at all patients experiencing a transition of care as compared to standard care in that institution. Included studies had to report on medication discrepancies as an outcome. DATA COLLECTION AND ANALYSIS: Two review authors independently screened titles and abstracts, assessed studies for eligibility, assessed risk of bias and extracted data. Study-specific estimates were pooled, using a random-effects model to yield summary estimates of effect and 95% confidence intervals (CI). We used the GRADE approach to assess the overall certainty of evidence for each pooled outcome. MAIN RESULTS: We identified 25 randomised trials involving 6995 participants. All studies were conducted in hospital or immediately related settings in eight countries. Twenty-three studies were provider orientated (pharmacist mediated) and two were structural (an electronic reconciliation tool and medical record changes). A pooled result of 20 studies comparing medication reconciliation interventions to standard care of participants with at least one medication discrepancy showed a risk ratio (RR) of 0.53 (95% CI 0.42 to 0.67; 4629 participants). The certainty of the evidence on this outcome was very low and therefore the effect of medication reconciliation to reduce discrepancies was uncertain. Similarly, reconciliation's effect on the number of reported discrepancies per participant was also uncertain (mean difference (MD) -1.18, 95% CI -2.58 to 0.23; 4 studies; 1963 participants), as well as its effect on the number of medication discrepancies per participant medication (RR 0.13, 95% CI 0.01 to 1.29; 2 studies; 3595 participants) as the certainty of the evidence for both outcomes was very low.Reconciliation may also have had little or no effect on preventable adverse drug events (PADEs) due to the very low certainty of the available evidence (RR 0.37. 95% CI 0.09 to 1.57; 3 studies; 1253 participants), with again uncertainty on its effect on ADE (RR 1.09, 95% CI 0.91 to 1.30; 4 studies; 1363 participants; low-certainty evidence). Evidence of the effect of the interventions on healthcare utilisation was conflicting; it probably made little or no difference on unplanned rehospitalisation when reported alone (RR 0.72, 95% CI 0.44 to 1.18; 5 studies; 1206 participants; moderate-certainty evidence), and had an uncertain effect on a composite measure of hospital utilisation (emergency department, rehospitalisation RR 0.78, 95% CI 0.50 to 1.22; 4 studies; 597 participants; very low-certainty evidence). AUTHORS' CONCLUSIONS: The impact of medication reconciliation interventions, in particular pharmacist-mediated interventions, on medication discrepancies is uncertain due to the certainty of the evidence being very low. There was also no certainty of the effect of the interventions on the secondary clinical outcomes of ADEs, PADEs and healthcare utilisation.

Quantifying patient preferences for symptomatic breast clinic referral: a decision analysis study.

OBJECTIVES: Decision analysis study that incorporates patient preferences and probability estimates to investigate the impact of women's preferences for referral or an alternative strategy of watchful waiting if faced with symptoms that could be due to breast cancer. SETTING: Community-based study. PARTICIPANTS: Asymptomatic women aged 30-60 years. INTERVENTIONS: Participants were presented with 11 health scenarios that represent the possible consequences of symptomatic breast problems. Participants were asked the risk of death that they were willing to take in order to avoid the health scenario using the standard gamble utility method. This process was repeated for all 11 health scenarios. Formal decision analysis for the preferred individual decision was then estimated for each participant. PRIMARY OUTCOME MEASURE: The preferred diagnostic strategy was either watchful waiting or referral to a breast clinic. Sensitivity analysis was used to examine how each varied according to changes in the probabilities of the health scenarios. RESULTS: A total of 35 participants completed the interviews, with a median age 41 years (IQR 35-47 years). The majority of the study sample was employed (n=32, 91.4%), with a third-level (university) education (n=32, 91.4%) and with knowledge of someone with breast cancer (n=30, 85.7%). When individual preferences were accounted for, 25 (71.4%) patients preferred watchful waiting to referral for triple assessment as their preferred initial diagnostic strategy. Sensitivity analysis shows that referral for triple assessment becomes the dominant strategy at the upper probability estimate (18%) of breast cancer in the community. CONCLUSIONS: Watchful waiting is an acceptable strategy for most women who present to their general practitioner (GP) with breast symptoms. These findings suggest that current referral guidelines should take more explicit account of women's preferences in relation to their GPs initial management strategy.

GPs' and community pharmacists' opinions on medication management at transitions of care in Ireland.

OBJECTIVE: The aim of this study was to survey GPs and community pharmacists (CPs) in Ireland regarding current practices of medication management, specifically medication reconciliation, communication between health care providers and medication errors as patients transition in care. METHODS: A national cross-sectional survey was distributed electronically to 2364 GPs, 311 GP Registrars and 2382 CPs. Multivariable associations comparing GPs to CPs were generated and content analysis of free text responses was undertaken. RESULTS: There was an overall response rate of 17.7% (897 respondents-554 GPs/Registrars and 343 CPs). More than 90% of GPs and CPs were positive about the effects of medication reconciliation on medication safety and adherence. Sixty per cent of GPs reported having no formal system of medication reconciliation. Communication between GPs and CPs was identified as good/very good by >90% of GPs and CPs. The majority (>80%) of both groups could clearly recall prescribing errors, following a transition of care, they had witnessed in the previous 6 months. Free text content analysis corroborated the positive relationship between GPs and CPs, a frustration with secondary care communication, with many examples given of prescribing errors. CONCLUSIONS: While there is enthusiasm for the benefits of medication reconciliation there are limited formal structures in primary care to support it. Challenges in relation to systems that support inter-professional communication and reduce medication errors are features of the primary/secondary care transition. There is a need for an improved medication management system. Future research should focus on the identified barriers in implementing medication reconciliation and systems that can improve it.

A Multistep Maturity Model for the Implementation of Electronic and Computable Diagnostic Clinical Prediction Rules (eCPRs).

INTRODUCTION: The use of Clinical Prediction Rules (CPRs) has been advocated as one way of implementing actionable evidence-based rules in clinical practice. The current highly manual nature of deriving CPRs makes them difficult to use and maintain. Addressing the known limitations of CPRs requires implementing more flexible and dynamic models of CPR development. We describe the application of Information and Communication Technology (ICT) to provide a platform for the derivation and dissemination of CPRs derived through analysis and continual learning from electronic patient data. MODEL COMPONENTS: We propose a multistep maturity model for constructing electronic and computable CPRs (eCPRs). The model has six levels - from the lowest level of CPR maturity (literaturebased CPRs) to a fully electronic and computable service-oriented model of CPRs that are sensitive to specific demographic patient populations. We describe examples of implementations of the core model components - focusing on CPR representation, interoperability, electronic dissemination, CPR learning, and user interface requirements. CONCLUSION: The traditional focus on derivation and narrow validation of CPRs has severely limited their wider acceptance. The evolution and maturity model described here outlines a progression toward eCPRs consistent with the vision of a learning health system (LHS) - using central repositories of CPR knowledge, accessible open standards, and generalizable models to avoid repetition of previous work. This is useful for developing more ambitious strategies to address limitations of the traditional CPR development life cycle. The model described here is a starting point for promoting discussion about what a more dynamic CPR development process should look like.

Prevalence of prescribing in pregnancy using the Irish primary care research network: a pilot study.

BACKGROUND: To establish the prevalence and patterns of prescribing to pregnant women in an Irish primary care setting. METHODS: We reviewed electronic healthcare records routinely collected in primary care, of pregnant women attending nine Dublin-based General Practices affiliated to the Irish Primary Care Research Network (IPCRN) for antenatal care between January 2007 and October 2013 (n = 2,361 pregnancies). RESULTS: Excluding folic acid, 46.8% (n = 1,104) of pregnant women were prescribed at least one medication. Amoxicillin (11.1%, n = 263) and co-amoxiclav (8.0%, n = 190) were the most commonly prescribed medication followed by topical clotrimazole (4.9%, n = 117), salbutamol inhalers (4.1%, n = 96) and paracetamol (4.0%, n = 95). General Medical Services (GMS) patients were more likely to receive a prescription than private patients (OR 2.81; 95%CI (2.28, 3.47)). We applied the US FDA pregnancy-risk categories as a proxy measure of prescribing appropriateness, with FDA Category D and X medications considered inappropriate. FDA Category D drugs were prescribed in 5.9% (n = 140) of pregnancies. FDA Category X drugs were prescribed in 4.9% (n = 116) of pregnancies but after exclusion of oral contraceptives, progestogens, infertility treatments Category X medications were prescribed in 0.6% (n = 13) of pregnancies. After the initial antenatal consultation the prescribing prevalence of FDA Category D medications reduced to 4.7% (n = 110) and Category X to 3.1% (n = 72). CONCLUSIONS: The overall prevalence of prescribing to pregnant women in our cohort is low compared to studies internationally, however similar levels of prescribing for FDA Category D and X were found. Following the initial antenatal consultation levels of prescribing of the FDA Category D and X medications reduced, however there is potential to further reduce their use in early pregnancy. The IPCRN database has provided valuable information on the current practice of antenatal prescribing within this pilot group of practices however it is limited by the absence of morbidity and pregnancy outcome data.

Addressing potentially inappropriate prescribing in older patients: development and pilot study of an intervention in primary care (the OPTI-SCRIPT study).

BACKGROUND: Potentially inappropriate prescribing (PIP) in older people is common in primary care and can result in increased morbidity, adverse drug events, hospitalizations and mortality. The prevalence of PIP in Ireland is estimated at 36% with an associated expenditure of over €45 million in 2007. The aim of this paper is to describe the application of the Medical Research Council (MRC) framework to the development of an intervention to decrease PIP in Irish primary care. METHODS: The MRC framework for the design and evaluation of complex interventions guided the development of the study intervention. In the development stage, literature was reviewed and combined with information obtained from experts in the field using a consensus based methodology and patient cases to define the main components of the intervention. In the pilot stage, five GPs tested the proposed intervention. Qualitative interviews were conducted with the GPs to inform the development and implementation of the intervention for the main randomised controlled trial. RESULTS: The literature review identified PIP criteria for inclusion in the study and two initial intervention components - academic detailing and medicines review supported by therapeutic treatment algorithms. Through patient case studies and a focus group with a group of 8 GPs, these components were refined and a third component of the intervention identified - patient information leaflets. The intervention was tested in a pilot study. In total, eight medicine reviews were conducted across five GP practices. These reviews addressed ten instances of PIP, nine of which were addressed in the form of either a dose reduction or a discontinuation of a targeted medication. Qualitative interviews highlighted that GPs were receptive to the intervention but patient preference and time needed both to prepare for and conduct the medicines review, emerged as potential barriers. Findings from the pilot study allowed further refinement to produce the finalised intervention of academic detailing with a pharmacist, medicines review with web-based therapeutic treatment algorithms and tailored patient information leaflets. CONCLUSIONS: The MRC framework was used in the development of the OPTI-SCRIPT intervention to decrease the level of PIP in primary care in Ireland. Its application ensured that the intervention was developed using the best available evidence, was acceptable to GPs and feasible to deliver in the clinical setting. The effectiveness of this intervention is currently being tested in a pragmatic cluster randomised controlled trial. TRIAL REGISTRATION: Current controlled trials ISRCTN41694007.

Effectiveness of medicines review with web-based pharmaceutical treatment algorithms in reducing potentially inappropriate prescribing in older people in primary care: a cluster randomized trial (OPTI-SCRIPT study protocol).

BACKGROUND: Potentially inappropriate prescribing in older people is common in primary care and can result in increased morbidity, adverse drug events, hospitalizations and mortality. In Ireland, 36% of those aged 70 years or over received at least one potentially inappropriate medication, with an associated expenditure of over €45 million.The main objective of this study is to determine the effectiveness and acceptability of a complex, multifaceted intervention in reducing the level of potentially inappropriate prescribing in primary care. METHODS/DESIGN: This study is a pragmatic cluster randomized controlled trial, conducted in primary care (OPTI-SCRIPT trial), involving 22 practices (clusters) and 220 patients. Practices will be allocated to intervention or control arms using minimization, with intervention participants receiving a complex multifaceted intervention incorporating academic detailing, medicines review with web-based pharmaceutical treatment algorithms that provide recommended alternative treatment options, and tailored patient information leaflets. Control practices will deliver usual care and receive simple patient-level feedback on potentially inappropriate prescribing. Routinely collected national prescribing data will also be analyzed for nonparticipating practices, acting as a contemporary national control. The primary outcomes are the proportion of participant patients with potentially inappropriate prescribing and the mean number of potentially inappropriate prescriptions per patient. In addition, economic and qualitative evaluations will be conducted. DISCUSSION: This study will establish the effectiveness of a multifaceted intervention in reducing potentially inappropriate prescribing in older people in Irish primary care that is generalizable to countries with similar prescribing challenges. TRIAL REGISTRATION: Current controlled trials ISRCTN41694007.