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Background: Event analysis is a promising approach to estimate the acceptance of medication alerts issued by computerized physician order entry (CPOE) systems with an integrated clinical decision support system (CDSS), particularly when alerts cannot be interactively confirmed in the CPOE-CDSS due to its system architecture. Medication documentation is then reviewed for documented evidence of alert acceptance, which can be a time-consuming process, especially when performed manually. Objective: We present a new automated event analysis approach, which was applied to a large data set generated in a CPOE-CDSS with passive, noninterruptive alerts. Methods: Medication and alert data generated over 3.5 months within the CPOE-CDSS at Heidelberg University Hospital were divided into 24-hour time intervals in which the alert display was correlated with associated prescription changes. Alerts were considered "persistent" if they were displayed in every consecutive 24-hour time interval due to a respective active prescription until patient discharge and were considered "absent" if they were no longer displayed during continuous prescriptions in the subsequent interval. Results: Overall, 1670 patient cases with 11,428 alerts were analyzed. Alerts were displayed for a median of 3 (IQR 1-7) consecutive 24-hour time intervals, with the shortest alerts displayed for drug-allergy interactions and the longest alerts displayed for potentially inappropriate medication for the elderly (PIM). Among the total 11,428 alerts, 56.1% (n=6413) became absent, most commonly among alerts for drug-drug interactions (1915/2366, 80.9%) and least commonly among PIM alerts (199/499, 39.9%). Conclusions: This new approach to estimate alert acceptance based on event analysis can be flexibly adapted to the automated evaluation of passive, noninterruptive alerts. This enables large data sets of longitudinal patient cases to be processed, allows for the derivation of the ratios of persistent and absent alerts, and facilitates the comparison and prospective monitoring of these alerts.
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INTRODUCTION: Discharge from hospital is a risk to drug continuity and medication safety. In Germany, new legal requirements concerning the management of patient discharge from the hospital came into force in 2017. They set minimum requirements for the documentation of medications in patient discharge summaries, which are the primary means of communication at transitions of care. Six years later, data on their practical implementation in routine care are lacking. METHODS: Within the scope of an explorative retrospective observational study, the minimum requirements were operationalized and a second set of assessment criteria was derived from the recommendation "Good Prescribing Practice in Drug Therapy" published by the Aktionsbündnis Patientensicherheit e.V. as a comparative quality standard. A sample of discharge summaries was drawn from routine care at the University Hospital Heidelberg and assessed according to their fulfilment of the criteria sets. In addition, the potential influence of certain context factors (e. g., involvement of clinical pharmacists or software usage) was evaluated. RESULTS: In total, 11 quality criteria were derived from the minimum requirements. According to the eligibility criteria (i. e., three or more discharge medications) 352 discharge summaries (42 wards; issued in May-July 2021), containing in total 3,051 medications, were included. The practical implementation of the minimum requirements for documenting medications in patient discharge summaries differed considerably depending on the criterion and defined context factors. Core elements (i. e., drug name, strength, and dosage at discharge) were fulfilled in 82.8 %, while further minimum requirements were rarely met or completely lacking (e. g., explanations for special pharmaceutical forms). Involvement of clinical pharmacists and usage of software were shown to be a facilitator of documentation quality, while on-demand medication (compared to long-term medication) as well as newly prescribed medication (compared to home medication or medication changed during hospitalisation) showed poorer documentation quality. In addition, the documentation quality seemed to depend on the department and the day of discharge. CONCLUSION: To date, the wording of the German legal requirements allows for different interpretations without considering the respective clinical setting and the medication actually prescribed. For future clarification of the requirements, implications of the wording for the clinical setting should be considered.
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BACKGROUND: Findings on the effectiveness of medication reviews led by community pharmacists (CPs) are often inconclusive. It has been hypothesized that studies are not sufficiently standardized, and thus, it is difficult to draw conclusions. OBJECTIVE(S): To examine differences in the way CP-led medication review studies are set up. This was accomplished by investigating (1) patient selection criteria, (2) components of the medication review interventions, (3) types of outcomes, and (4) measurement instruments used. METHODS: A systematic literature search of randomized controlled trials of CP-led medication reviews was carried out in PubMed and Cochrane Library. Information on patient selection, intervention components, and outcome measurements was extracted, and frequencies were analyzed. Where possible, outcomes were mapped to the Core Outcome Set (COS) for medication review studies. Finally, a network analysis was conducted to explore the influence of individual factors on outcome effects. RESULTS: In total, 30 articles (26 studies) were included. Most articles had a drug class-specific or disease-specific patient selection criterion (n = 19). Half of the articles included patients aged ≥60 years (n = 15), and in 40% (n = 12/30) patients taking 4 drugs or more. In 24 of 30 articles, a medication review was comprised with additional interventions, such as distribution of educational material and training or follow-up visits. About 40 different outcomes were extracted. Within specific outcomes, the measurement instruments varied, and COS was rarely represented. CONCLUSION: The revealed differences in patient selection, intervention delivery, and outcome assessment highlight the need for more standardization in research on CP-led medication reviews. While intervention delivery should be more precisely described to capture potential differences between interventions, outcome assessment should be standardized in terms of outcome selection by application of the COS, and with regard to the selected core outcome measurement instruments to enable comparison of the results.
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Community Pharmacy Services , Pharmacists , Humans , Community Pharmacy Services/organization & administration , Pharmacists/organization & administration , Randomized Controlled Trials as Topic , Patient Selection , Professional RoleABSTRACT
PURPOSE: A comprehensive medication history can contribute to safe therapy. Many approaches aiming to improve medication history taking require significant human resources. To design an efficient process that delivers high-quality medication histories, the individual requirements and resources of a given setting need to be considered. We aimed to provide an overview of existing approaches to medication history taking and their performance in different settings to potentially support the selection of an appropriate procedure. METHODS: We searched 3 literature databases (PubMed/MEDLINE, CINAHL, PsycINFO) for publications on approaches to medication history taking and analyzed them with regard to their key components as well as the setting, patient population, assessed outcomes, and efficacy. RESULTS: In total, 65 publications were included and analyzed. The majority of the reported approaches relied on involvement of dedicated staff (n = 43), followed by process-oriented interventions (eg, checklists; n = 15) and information technology (IT)-guided interventions (n = 11). A mean (SD) of 6 (2.9) outcomes were described in each study. Medication discrepancies were reported in 89% of all studies, yet about 75 different descriptions of this outcome were used, making it difficult to compare study results. Only 11 studies applied a sample size calculation and statistical tests. Of those, 10 reported a positive effect of their respective intervention on the quality of medication histories. CONCLUSION: Most approaches focused on pharmacy staff, which are associated with considerable cost and resources. Therefore, IT-based approaches and patient engagement should be investigated as cost-effective alternatives and tested for superiority in the same setting. Reporting guidelines and standardized methodology are needed to improve the comparability of such studies.
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Medication Reconciliation , Humans , Medication Reconciliation/methods , Medical History Taking/methods , Hospitals , Medication Errors/prevention & control , Pharmacy Service, Hospital/organization & administrationABSTRACT
BACKGROUND: Despite attempts to improve the cross-sectoral flow of information, difficulties remain in routine healthcare. The resulting negative impact on continuity of care is often associated with poor health outcomes, especially in older patients. Our intervention aims to increase information availability with respect to medications and health conditions at the interface between inpatient and outpatient care and to contribute towards improving the quality of care in older patients. This pilot study focuses on feasibility and implementability. METHODS: The idea of the complex intervention has been developed in a previous study. This intervention will be tested in a prospective, multicenter, cluster-randomized (via web tool), controlled pilot trial with two parallel study arms (intervention and control group). The pilot study will be conducted in 20 general practices in Hesse and Saxony (Germany) and include 200 patients (≥ 65 years of age with multimorbidity and polypharmacy) recruited by the practices. Practice staff and patients will be blinded. We will use qualitative and quantitative methods to assess the feasibility and implementability of the intervention and the study design in a process evaluation covering topics ranging from expectations to experiences. In addition, the feasibility of proposed outcome parameters for the future definitive trial will be explored. The composite endpoint will include health-related patient outcomes (hospitalization, falls, and mortality using, e.g., the FIMA questionnaire), and we will assess information on medications (SIMS questionnaire), symptoms and side effects of the medication (pro-CTCAE questionnaire), and health literacy (HLQ questionnaire). Data will be collected at study begin (baseline) and after 6 months. Furthermore, the study will include surveys and interviews with patients, general practitioners, and healthcare assistants. DISCUSSION: The intervention was developed using a participatory approach involving stakeholders and patients. It aims to empower general practice teams as they provide patient-centered care and play a key role in the coordination and continuity of care. We aim to encourage patients to adopt an active role in their health care. Overall, we want to increase the availability of health-related information for patients and healthcare providers. The results of the pilot study will be used in the design and implementation of the future definitive trial. TRIAL REGISTRATION: The study was registered in DRKS-German Clinical Trials Register: registration number DRKS00027649 (date: 19 January 2022). Date and version identifier 10.07.2023; Version 1.3.
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BACKGROUND: Measures for improving medication safety in outpatient care are often complex and involve medication reviews. Over the period 2016-2022 (with a preceeding one-year pilot phase), an interprofessional medication management program- the Medicines Initiative Saxony-Thuringia (Arzneimittelinitiative Sachsen-Thüringen, ARMIN)-was implemented in two German federal states. More than 5000 patients received a medication review by the end of 2019 by a team composed of physicians and pharmacists and were provided with joint, continuous care thereafter. METHODS: In the framework of a retrospectively registered cohort study, the mortality and hospitalizations of this population (5033 patients) were studied using routine data from a statutory health insurer (observation period 2015-2019) and compared with those of a control group (10 039 patients) determined from the routine data by propensity score matching. Mortality was compared by survival analysis (Cox regression), and hospitalization rates were compared in terms of event probabilities within two years of enrollment in the medication management program. Robustness was tested in multiple sensitivity analyses. RESULTS: Over the observation period, 9.3% of the ARMIN participants and 12.9% of persons in the control group died (hazard ratio of the adjusted Cox regression, 0.84; 95% confidence interval [0.76; 0.94], P = 0.001). In the first two years after inclusion, the ARMIN participants were hospitalized just as often as the persons in the control group (52.4% versus 53.4%; odds ratio from the adjusted model, 1.04 [0.96; 1.11], P = 0.347). The effects were consistent in sensitivity analyses. CONCLUSION: In this retrospective cohort study, participation in the ARMIN program was associated with a lower risk of death. Exploratory analyses provide clues to the potential origin of this association.
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Armin , Medication Therapy Management , Humans , Cohort Studies , Retrospective Studies , HospitalizationABSTRACT
BACKGROUND: The introduction of a computerized physician order entry (CPOE) system is changing workflows and redistributing tasks among health care professionals. OBJECTIVES: The aim of this study is to describe exemplary changes in workflow, to objectify the time required for medication documentation, and to evaluate documentation quality with and without a CPOE system (Cerner® i.s.h.med). METHODS: Workflows were assessed either through direct observation and in-person interviews or through semistructured online interviews with clinical staff involved in medication documentation. Two case scenarios were developed consisting of exemplary medications (case 1 = 6 drugs and case 2 = 11 drugs). Physicians and nurses/documentation assistants were observed documenting the case scenarios according to workflows established prior to CPOE implementation and those newly established with CPOE implementation, measuring the time spent on each step in the documentation process. Subsequently, the documentation quality of the documented medication was assessed according to a previously established and published methodology. RESULTS: CPOE implementation simplified medication documentation. The overall time needed for medication documentation increased from a median of 12:12 min (range: 07:29-21:10 min) without to 14:40 min (09:18-25:18) with the CPOE system (p = 0.002). With CPOE, less time was spent documenting peroral prescriptions and more time documenting intravenous/subcutaneous prescriptions. For physicians, documentation time approximately doubled, while nurses achieved time savings. Overall, the documentation quality increased from a median fulfillment score of 66.7% without to 100.0% with the CPOE system (p < 0.001). CONCLUSION: This study revealed that CPOE implementation simplified the medication documentation process but increased the time spent on medication documentation by 20% in two fictitious cases. This increased time resulted in higher documentation quality, occurred at the expense of physicians, and was primarily due to intravenous/subcutaneous prescriptions. Therefore, measures to support physicians with complex prescriptions in the CPOE system should be established.
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Documentation , Medical Order Entry Systems , Workflow , Humans , Computer Simulation , Documentation/standards , PhysiciansABSTRACT
BACKGROUND: Interprofessional medication management in primary care is a recognized strategy for improving medication safety, but it is poorly implemented in Germany. As a pilot project, ARMIN [Arzneimittelinitiative Sachsen-Thüringen] was initiated in 2014 to establish better interprofessional medication management between general practitioners and community pharmacists. AIM: The aim of this study was to explore the views of non-participating general practitioners and community pharmacists towards interprofessional medication management within ARMIN and to identify barriers to participation. METHOD: This was an interview study comprising a series of semi-structured telephone interviews. In total, 36 general practitioners and 15 community pharmacists were interviewed in the period between March and June 2020. Data were analyzed using thematic analysis as an inductive approach and the consolidated framework for implementation research as a deductive approach. RESULTS: Many general practitioners and community pharmacists had a generally positive attitude towards interprofessional medication management. However, various barriers were identified and categorized into five major themes: (I) collaboration between general practitioners and community pharmacists, e.g. concerning general practitioners' professional sovereignty and pharmacists' fear of jeopardizing their relationship with general practitioners when interfering in therapy; (II) eligibility for participation, e.g., the fact that patients had to be insured with a specific statutory health insurance fund; (III) local circumstances, e.g. many pharmacists could not find a collaborating general practitioner (and vice versa). Moreover, patient demand was low, probably because patients were not aware of the program; (IV) information technology, e.g. concerning the lack of available software and data security concerns; and (V) cost-benefit ratio, e.g. the fact that potential benefits were outweighed by program-associated costs. CONCLUSION: The perceived discrepancy between positive attitudes and multiple prevalent barriers indicates considerable potential for further interprofessional collaboration between general practitioners and community pharmacists.
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Community Pharmacy Services , General Practitioners , Humans , Pharmacists , Medication Therapy Management , Interprofessional Relations , Pilot Projects , Armin , Attitude of Health Personnel , Cooperative Behavior , Primary Health Care , Qualitative ResearchABSTRACT
OBJECTIVES: Clinical decision support systems (CDSSs) use alerts to enhance medication safety and reduce medication error rates. A major challenge of medication alerts is their low acceptance rate, limiting their potential benefit. A structured overview about modulators influencing alert acceptance is lacking. Therefore, we aimed to review and compile qualitative and quantitative modulators of alert acceptance and organize them in a comprehensive model. METHODS: In accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guideline, a literature search in PubMed was started in February 2018 and continued until October 2021. From all included articles, qualitative and quantitative parameters and their impact on alert acceptance were extracted. Related parameters were then grouped into factors, allocated to superordinate determinants, and subsequently further allocated into five categories that were already known to influence alert acceptance. RESULTS: Out of 539 articles, 60 were included. A total of 391 single parameters were extracted (e.g., patients' comorbidity) and grouped into 75 factors (e.g., comorbidity), and 25 determinants (e.g., complexity) were consequently assigned to the predefined five categories, i.e., CDSS, care provider, patient, setting, and involved drug. More than half of all factors were qualitatively assessed (n = 21) or quantitatively inconclusive (n = 19). Furthermore, 33 quantitative factors clearly influenced alert acceptance (positive correlation: e.g., alert type, patients' comorbidity; negative correlation: e.g., number of alerts per care provider, moment of alert display in the workflow). Two factors (alert frequency, laboratory value) showed contradictory effects, meaning that acceptance was significantly influenced both positively and negatively by these factors, depending on the study. Interventional studies have been performed for only 12 factors while all other factors were evaluated descriptively. CONCLUSION: This review compiles modulators of alert acceptance distinguished by being studied quantitatively or qualitatively and indicates their effect magnitude whenever possible. Additionally, it describes how further research should be designed to comprehensively quantify the effect of alert modulators.
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Decision Support Systems, Clinical , Medical Order Entry Systems , Humans , WorkflowABSTRACT
BACKGROUND: Pharmacist-led medication review and medication management programs (MMP) are well-known strategies to improve medication safety and effectiveness. If performed interprofessionally, outcomes might even improve. However, little is known about task sharing in interprofessional MMP, in which general practitioners (GPs) and community pharmacists (CPs) collaboratively perform medication reviews and continuously follow-up on patients with designated medical and pharmaceutical tasks, respectively. In 2016, ARMIN (Arzneimittelinitiative Sachsen-Thüringen) an interprofessional MMP was launched in two German federal states, Saxony and Thuringia. The aim of this study was to understand how GPs and CPs share tasks in MMP when reviewing the patients' medication. METHODS: This was a cross-sectional postal survey among GPs and CPs who participated in the MMP. Participants were asked who completed which MMP tasks, e.g., checking drug-drug interactions, dosing, and side effects. In total, 15 MMP tasks were surveyed using a 5-point Likert scale ranging from "I complete this task alone" to "GP/CP completes this task alone". The study was conducted between 11/2020 and 04/2021. Data was analyzed using descriptive statistics. RESULTS: In total, 114/165 (69.1%) GPs and 166/243 (68.3%) CPs returned a questionnaire. The majority of GPs and CPs reported (i) checking clinical parameters and medication overuse and underuse to be completed by GPs, (ii) checking storage conditions of drugs and initial compilation of the patient's medication including brown bag review being mostly performed by CPs, and (iii) checking side-effects, non-adherence, and continuous updating of the medication list were carried out jointly. The responses differed most for problems with self-medication and adding and removing over-the-counter medicines from the medication list. In addition, the responses revealed that some MMP tasks were not sufficiently performed by either GPs or CPs. CONCLUSIONS: Both GPs' and CPs' expertise are needed to perform MMP as comprehensively as possible. Future studies should explore how GPs and CPs can complement each other in MMP most efficiently.
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General Practitioners , Pharmacists , Attitude of Health Personnel , Cross-Sectional Studies , Humans , Medication Therapy Management , Surveys and QuestionnairesABSTRACT
Purpose: Medical decision-making in older adults with multiple chronic conditions and polypharmacy should include the individual patient's treatment preferences. We developed and pilot-tested an electronic instrument (PolyPref) to elicit patient preferences in geriatric polypharmacy. Patients and Methods: PolyPref follows a two-stage direct approach to preference assessment. Stage 1 generates an individual preselection of relevant health outcomes and medication regimen characteristics, followed by stage 2, in which their importance is assessed using the Q-sort methodology. The feasibility of the instrument was tested in adults aged ≥70 years with ≥2 chronic conditions and regular intake of ≥5 medicines. After the assessment with PolyPref, the patients rated the tool with regard to its comprehensibility and usability and assessed the accuracy of the personal result. Evaluators rated the patients' understanding of the task. Results: Eighteen short-term health outcomes, 3 long-term health outcomes, and 8 medication regimen characteristics were included in the instrument. The final population for the pilot study comprised 15 inpatients at a clinic for geriatric rehabilitation with a mean age of 80.6 (± 6.0) years, a median score of 28 (range 25-30) points on the Mini-Mental State Examination, and a mean of 11.6 (± 3.6) regularly taken medicines. Feedback by the patients and the evaluators revealed ratings in favor of understanding and comprehensibility of 86.7% to 100%. The majority of the patients stated that their final result summarized the most important aspects of their pharmacotherapy (93.3%) and that its ranking order reflected their personal opinion (100%). Preference assessment took an average of 35 (± 8.5) min, with the instrument being handled by the evaluator in 14 of the 15 participants. Conclusion: Preference assessment with PolyPref was feasible in older adults with multiple chronic conditions and polypharmacy, offering a new strategy for the standardized evaluation of patient priorities in geriatric pharmacotherapy.
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Structured analyses of hospital administrative data may detect potentially preventable adverse drug events (ADE) and therefore are considered promising sources to prevent future harm and estimate cost savings. Whether results of these analyses indeed correspond to ADE that may be preventable in clinical routines needs to be verified. We exemplarily screened all adult inpatients admitted to a German University Hospital (n = 54,032) for International Classification of Diseases-10th revision (ICD-10) diagnoses coding for drug-induced kidney injury (AKI). In a retrospective chart review, we checked the coded adverse events (AE) for inhospital occurrence, causality to drug exposure, and preventability in all identified cases and calculated positive predictive values (ppv). We identified 69 inpatient cases of whom 41 cases (59.4%) experienced the AE in the hospital (ppv-range 0.43-0.80). Causality assessment revealed a rather likely causal relationship between AE and drug exposure in 11 cases (15.9, 11/69, ppv-range 0.17-0.22) whereby preventability measures could be postulated for seven cases (10.1%, 7/69). Focusing on drug-induced AKI, this study exemplarily underlines that ICD-10-code-based ADE prevention efforts are quite limited due to the small identification rate and its high proportion of primarily outpatient events. Furthermore, causality assessment revealed that cases are often too complex to benefit from generic prevention strategies. Thus, ICD-10-code-based calculations might overestimate patient harm and economic losses.
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BACKGROUND: A complex drug treatment might pose a barrier to safe and reliable drug administration for patients. Therefore, a novel tool automatically analyzes structured medication data for factors possibly contributing to complexity and subsequently personalizes the results by evaluating the relevance of each identified factor for the patient by means of key questions. Hence, tailor-made optimization measures can be proposed. METHODS: In this controlled, prospective, exploratory trial the tool was evaluated with nine general practitioners (GP) in three study groups: In the two intervention groups the tool was applied in a version with (GI_with) and a version without (GI_without) integrated key questions for the personalization of the analysis, while the control group (GC) did not use any tools (routine care). Four to eight weeks after application of the tool, the benefits of the optimization measures to reduce or mitigate complexity of drug treatment were evaluated from the patient perspective. RESULTS: A total of 126 patients regularly using more than five drugs could be included for analysis. GP suggested 117 optimization measures in GI_with, 83 in GI_without, and 2 in GC. Patients in GI_with were more likely to rate an optimization measure as helpful than patients in GI_without (IRR: 3.5; 95% CI: 1.2-10.3). Thereby, the number of optimization measures recommended by the GP had no significant influence (P = 0.167). CONCLUSIONS: The study suggests that an automated analysis considering patient perspectives results in more helpful optimization measures than an automated analysis alone - a result which should be further assessed in confirmatory studies. TRIAL REGISTRATION: The trial was registered retrospectively at the German Clinical Trials register under DRKS-ID DRKS00025257 (17/05/2021).
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General Practitioners , Electronics , Humans , Pharmaceutical Preparations , Pilot Projects , Prospective Studies , Retrospective StudiesABSTRACT
PURPOSE: To describe the prevalence of complexity factors in the medication regimens of community-dwelling patients with more than five drugs and to evaluate the relevance of these factors for individual patients. METHODS: Data were derived from the HIOPP-6 trial, a controlled study conducted in 9 general practices which evaluated an electronic tool to detect and reduce complexity of drug treatment. The prevalence of complexity factors was based on the results of the automated analysis of 139 patients' medication data. The relevance assessment was based on the patients' rating of each factor in an interview (48 patients included for analysis). RESULTS: A median of 5 (range 0-21) complexity factors per medication regimen were detected and at least one factor was observed in 131 of 139 patients. Almost half of these patients found no complexity factor in their medication regimen relevant. CONCLUSION: In most medication regimens, complexity factors could be identified automatically, yet less than 15% of factors were indeed relevant for patients as judged by themselves. When assessing complexity of medication regimens, one should especially consider factors that are both particularly frequent and often challenging for patients, such as use of inhalers or tablet splitting. TRIAL REGISTRATION: The HIOPP-6 trial was registered retrospectively on May 17, 2021, in the German Clinical Trials register under DRKS-ID DRKS00025257.
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Independent Living , Polypharmacy , Clinical Protocols , Humans , Prevalence , Retrospective StudiesABSTRACT
OBJECTIVES: In 2017, an in-house best-practice process for medication documentation was developed and implemented to meet the new German legal requirements concerning the management of patient discharge from the hospital. Because this law regulates the common steps of good discharge practices (eg, specification of discharge mediation documentation), we used its implementation to assess the impact of such a measure on the quality of medication documentation and related workflows in clinical routine. METHODS: By observing workflows and interviewing the affected employees, we analysed the medication workflow processes from admission to discharge of seven representative departments of a large university hospital before and early after implementation of a newly defined best-practice process. To investigate the implementation impact, following measures were determined overall and for five key process steps: quality of medication documentation as measured by predefined criteria, the adherence to the best-practice process (range 0%-100%), workload and potential shifts in responsibilities. RESULTS: Already early after implementation, all departments met the legal requirements and the quality of the medication documentation increased from low to high quality in most departments. Mean adherence to the best-practice process was 77% (range 60%-100%) with strictest adherence of 100% in one department. Thereby, the number of process steps and hence, likely also the workload increased in all departments. New tasks were mainly performed by physicians and in one department by pharmacists. CONCLUSIONS: The new lawful best-practice process led to a higher quality in medication documentation at the cost of a higher workload for physicians, potentially limiting time for other care tasks. Therefore, it could be important to define areas of the medication documentation process in which physicians could be supported by other professions or new tools facilitating accurate medication documentation as the basis of continuity of care.
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Patient Discharge , Physicians , Documentation , Humans , Pharmacists , WorkflowABSTRACT
PURPOSE: The development and testing of key questions suitable to identify patients' difficulties with medication administration. MATERIALS AND METHODS: We used a consecutive five-step process to draft key questions regarding 43 aspects of medication administration that can be difficult for patients who manage a complex drug treatment: Step 1) Identification of potentially error-prone characteristics of drug treatment (such as certain dosage forms) and initial draft of key questions. Step 2) Assessment of how comprehensible the questions are for patients. Step 3) Pre-testing of exemplary key questions with patients and monitoring of patient's actual medication administration behavior. Step 4) Evaluation by general practitioners of how well the questions may be integrated into actual patient visits. Step 5) Final approval of the questions in an expert panel. Thereafter, we pilot-tested exemplary questions with 36 patients (43 tests). In the course of this pilot-testing, the patients' answers to the key questions were tested against both their actual behavior during medication administration and against their answers to more general questions regarding potential difficulties with medication administration. RESULTS: More than half of the key questions (N = 24/43) were revised at least once during the development process. During the pilot-testing, 55.8% of the pilot-tests (N = 24/43) revealed medication administration difficulties. It was observed that the key questions identified significantly more difficulties (N = 17) than the general questions (N = 8; P = 0.021, positive predictive value = 94.4% vs 88.9%). In one case, both a key question and a general question identified difficulties, which, however, was not confirmed during the drug administration demonstration, indicating a false positive rate of 5.3% in both cases. CONCLUSION: We developed key questions aimed at detecting administration errors with a high specificity and a significantly higher sensitivity than general questions, suggesting that the resource-intensive demonstration of medication administration can be reserved for the detection of rarer and uncommon administration errors.
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BACKGROUND: The medication process is complex and error-prone. To avoid medication errors, a medication order should fulfil certain criteria, such as good readability and comprehensiveness. In this context, a computerized physician order entry (CPOE) system can be helpful. This study aims to investigate the distinct effects on the quality of prescription documentation of a CPOE system implemented on general wards in a large tertiary care hospital. METHODS: In a retrospective analysis, the prescriptions of two groups of 160 patients each were evaluated, with data collected before and after the introduction of a CPOE system. According to nationally available recommendations on prescription documentation, it was assessed whether each prescription fulfilled the established 20 criteria for a safe, complete, and actionable prescription. The resulting fulfilment scores (prescription-Fscores) were compared between the pre-implementation and the post-implementation group and a multivariable analysis was performed to identify the effects of further covariates, i.e., the prescription category, the ward, and the number of concurrently prescribed drugs. Additionally, the fulfilment of the 20 criteria was assessed at an individual criterion-level (denoted criteria-Fscores). RESULTS: The overall mean prescription-Fscore increased from 57.4% ± 12.0% (n = 1850 prescriptions) before to 89.8% ± 7.2% (n = 1592 prescriptions) after the implementation (p < 0.001). At the level of individual criteria, criteria-Fscores significantly improved in most criteria (n = 14), with 6 criteria reaching a total score of 100% after CPOE implementation. Four criteria showed no statistically significant difference and in two criteria, criteria-Fscores deteriorated significantly. A multivariable analysis confirmed the large impact of the CPOE implementation on prescription-Fscores which was consistent when adjusting for the confounding potential of further covariates. CONCLUSIONS: While the quality of prescription documentation generally increases with implementation of a CPOE system, certain criteria are difficult to fulfil even with the help of a CPOE system. This highlights the need to accompany a CPOE implementation with a thorough evaluation that can provide important information on possible improvements of the software, training needs of prescribers, or the necessity of modifying the underlying clinical processes.