[Experiences of older multimorbid persons during the COVID-19 pandemic: a qualitative study]. / Erfahrungen älterer, multimorbider Menschen in der COVID-19-Pandemie: eine qualitative Studie.

BACKGROUND/OBJECTIVE: The COVID-19 pandemic and the accompanying preventive measures have shaped social life in unexpected ways. Because older persons with multiple chronic conditions have a high risk of a severe medical outcome, it has been strongly recommended that social contacts be curtailed in order to minimize risks of infection. While this appears to be alarming from a psychosocial point of view, it has been shown that older persons exhibit a high degree of equanimity and a good ability to cope with the crisis. The aim of the study was to describe the attitudes of multimorbid older people to the pandemic, their social contacts and their experiences with medical care. MATERIAL AND METHODS: This cross-sectional qualitative survey was based on 21 semi-structured short interviews of older patients with multiple chronic conditions during inpatient health care, at 4 different points in time: July 2020, September 2020, November 2020 and January 2021. The data were analyzed by qualitative content analysis. RESULTS: The statements of 21 participants (aged 58-88 years) were assessed. Over the course of the COVID-19 pandemic it became apparent that participants experienced the pandemic differently, both from an individual perspective and over time. While high infection rates were accompanied by serious concerns about health, periods of moderate infection risk were dominated by worry about social changes. In older persons there was a great sense of acceptance of the preventive measures. CONCLUSION: Our study exemplarily illustrates the attitudes and concerns of older persons who suffer from multiple chronic conditions over the course of the pandemic. Our data show that older persons reacted with equanimity to the novel medical and social circumstances.

Assessing the perspective of well-being of older patients with multiple morbidities by using the LAVA tool - a person-centered approach.

BACKGROUND: Older patients with multiple morbidities are a particularly vulnerable population that is likely to face complex medical decisions at some time in their lives. A patient-centered medical care fosters the inclusion of the patients' perspectives, priorities, and complaints into clinical decision making. METHODS: This article presents a short and non-normative assessment tool to capture the priorities and problems of older patients. The so-called LAVA ("Life and Vitality Assessment") tool was developed for practical use in seniors in the general population and for residents in nursing homes in order to gain more knowledge about the patients themselves as well as to facilitate access to the patients. The LAVA tool conceptualizes well-being from the perspectives of older individuals themselves rather than from the perspectives of outside individuals. RESULTS: The LAVA tool is graphically presented and the assessment is explained in detail. Exemplarily, the outcomes of the assessments with the LAVA of three multimorbid older patients are presented and discussed. In each case, the assessment pointed out resources as well as at least one problem area, rated as very important by the patients themselves. CONCLUSIONS: The LAVA tool is a short, non-normative, and useful approach that encapsulates the perspectives of well-being of multimorbid patients and gives insights into their resources and problem areas.

A randomized controlled trial to assess the effect of a medication plan containing drug administration recommendations on patients' drug knowledge after 2 months.

WHAT IS KNOWN AND OBJECTIVE: Patients' drug administration errors are often promoted by poor drug knowledge resulting from inadequate oral or written information. It has previously been shown that a medication plan enhanced with graphical and textual information on drug handling (enhanced medication plan) proved to immediately increase patients' drug knowledge. This study aimed to evaluate the effect of the enhanced medication plan on drug knowledge in outpatients after 2 months (intervention group) compared to patients with a simple medication plan with standard information (control group). METHODS: We recruited patients using ≥5 drugs in four family practices in Germany. After inclusion, patients' knowledge on handling of their drugs was assessed using three questions from a standardized catalog. Thereafter, patients were randomized to the intervention or control group. After 2 months, drug knowledge was reassessed with three different questions from the same standardized catalog. RESULTS AND DISCUSSION: Of 120 enrolled patients, 75% of participants in the control group (42/60 patients) and 78% of participants in the intervention group (46/60; P = 0·71) completed the study. Baseline drug knowledge was similar in both groups (43·7% vs. 40·6% correct answers). After 2 months, patients' drug knowledge showed an absolute increase of 23·2% in the intervention group (P < 0·01) and was unchanged in the control group (46·0%; P = 0·70). WHAT IS NEW AND CONCLUSION: The enhanced medication plan outperformed the effect of a simple medication plan and persistently increased the fraction of correct answers of polypharmacy patients. This demonstrates that the enhanced medication plan may be a useful tool in promoting drug knowledge.

[Formal prescribing errors are substantially reduced in electronic prescribing and after teaching sessions]. / Formale Fehler bei der Rezeptschreibung sind bei Nutzung elektronischer Verordnung und Schulung erheblich reduziert.

INTRODUCTION: Prescription forms enable the communication between physicians and pharmacists. Hence, incorrectly issued prescriptions may result in delay of health-care delivery, additional workload, and potentially adverse patient outcomes. We aimed to evaluate the formal prescription quality in our outpatient clinics (OC) before and after performing teaching sessions and using an electronic prescription system to replace handwritten prescriptions. METHODS: All OCs of a university hospital were offered a short teaching session on how to issue prescriptions correctly and how to use the electronic prescription system. During four weeks before and after the teaching, we anonymously collected all prescriptions of the OCs in 20 surrounding community pharmacies and assessed whether they were error-free, required an intervention by the pharmacist, additional clarification by the OC, or had to be reissued. RESULTS: After the intervention, the absolute fraction of formally error-free prescriptions increased by 12.9% from 52.9% (516/976) to 65.8% (713/1084, p < 0.001; d = 12,9% 95% confidence interval [8,7%; 17,1%]). Largest improvements were seen in prescriptions requiring clarification by the OC (224/976 prescriptions at baseline versus 93/1084 post-intervention, p < 0.001). The fraction of electronic prescriptions increased from 34.9% (341/976) to 46.9% (509/1084, p < 0.001, d = 12,0% 95% confidence interval [7,8%; 16,2%]) with electronic prescriptions consistently being of higher formal quality than handwritten prescriptions. CONCLUSION: After increased use of electronic prescribing and teaching courses, formal prescription quality was significantly improved.

More than just crushing: a prospective pre-post intervention study to reduce drug preparation errors in patients with feeding tubes.

WHAT IS KNOWN AND OBJECTIVES: Incorrect drug preparation for patients with feeding tubes can result in harm for the patient and the preparing person. Combined intervention programs are effective tools to reduce such preparation errors. However, to date, intervention programs have been mostly tested in hospitals with computerized physician order entry (CPOE), unit-dose systems, or ward-based clinical pharmacists. Hence, the primary objective of this study was to develop and evaluate an intervention program tailored to hospitals without such preconditions. METHODS: We conducted a prospective pre-/post-intervention study on a gastroenterological intensive care unit (ICU) and a surgical ward for oral, dental and maxillofacial diseases (surgical ward). During the study periods, observers documented and evaluated drug preparation processes of all peroral drugs for patients with feeding tubes. The primary endpoint was the rate of inappropriately crushed and/or suspended solid peroral drugs in regards to all solid peroral drugs. RESULTS AND DISCUSSION: Altogether, we evaluated 775 drug preparation processes of solid peroral drugs on the ICU and 975 on the surgical ward. The intervention program significantly reduced incorrect crushing and/or suspending of solid peroral drugs for administration to patients with feeding tubes from 9·8% to 4·2% (P < 0·01) on the ICU and from 5·7% to 1·4% (P < 0·01) on the surgical ward. WHAT IS NEW AND CONCLUSION: The implementation of the newly developed intervention program significantly reduced the rate of inappropriately prepared solid peroral drugs, suggesting that it is an effective measure to enable safe drug administration for inpatients with feeding tubes.

Memorandum on the use of information technology to improve medication safety.

BACKGROUND: Information technology in health care has a clear potential to improve the quality and efficiency of health care, especially in the area of medication processes. On the other hand, existing studies show possible adverse effects on patient safety when IT for medication-related processes is developed, introduced or used inappropriately. OBJECTIVES: To summarize definitions and observations on IT usage in pharmacotherapy and to derive recommendations and future research priorities for decision makers and domain experts. METHODS: This memorandum was developed in a consensus-based iterative process that included workshops and e-mail discussions among 21 experts coordinated by the Drug Information Systems Working Group of the German Society for Medical Informatics, Biometry and Epidemiology (GMDS). RESULTS: The recommendations address, among other things, a stepwise and comprehensive strategy for IT usage in medication processes, the integration of contextual information for alert generation, the involvement of patients, the semantic integration of information resources, usability and adaptability of IT solutions, and the need for their continuous evaluation. CONCLUSION: Information technology can help to improve medication safety. However, challenges remain regarding access to information, quality of information, and measurable benefits.

Design and evaluation of an ontology-based drug application database.

OBJECTIVES: Several recently published cases of preventable adverse drug reactions were associated with flaws in drug application. However, current clinical decision support (CDS) systems do not properly consider drug application issues and thus do not support effective prevention of such medication errors. With the aim to improve CDS in this respect, we developed a comprehensive model precisely describing all aspects of drug application. METHODS: The model consists of 1) a schema comprising all relevant attributes of drug application and 2) an ontology providing a hierarchically structured vocabulary of terms that describe the possible values of the schema's attributes. Finally, medical products were annotated by a semi-automatic term assignment process. For evaluation, we developed an algorithm that uses our model to compute a meaningful similarity between medicinal products with respect to their drug application characteristics. RESULTS: Our schema consists of 22 attributes. The ontology contains 248 terms, textual descriptions, and synonym lists. More than 58,700 medicinal products were automatically annotated with >386,600 terms. 2,450 drugs were manually reviewed by experts, adding >4500 terms. The annotation and similarity measure allow for (similarity) searches, clustering, and proper discrimination of drugs with different drug application characteristics. We demonstrated the value of our approach by means of a set of case studies. CONCLUSION: Our model enables a detailed description of drug application, allowing for semantically meaningful comparisons of drugs. This is an important prerequisite for improving the ability of CDS systems to prevent prescription errors.

Patient-specific electronic decision support reduces prescription of excessive doses.

OBJECTIVES: Prescription of excessive doses is the most common prescription error, provoking dose-dependent adverse drug reactions. Clinical decision support systems (CDSS) can prevent prescription errors especially when mainly clinically relevant warnings are issued. We have built and evaluated a CDSS providing upper dose limits personalised to individual patient characteristics thus guaranteeing for specific warnings. METHODS: For 170 compounds, detailed information on upper dose limits (according to the drug label) was compiled. A comprehensive software-algorithm extracted relevant patient information from the electronic chart (eg, age, renal function, comedication). The CDSS was integrated into the local prescribing platform for outpatients and patients at discharge, providing immediate dosage feedback. Its impact was evaluated in a 90-day intervention study (phase 1: baseline; phase 2: intervention). Outcome measures were frequency of excessive doses before and after intervention considering potential induction of new medication errors. Moreover, predictors for alert adherence were analysed. RESULTS: In phase 1, 552 of 12,197 (4.5%) prescriptions exceeded upper dose limits. In phase 2, initially 559 warnings were triggered (4.8%, p=0.37). Physicians were responsive to one in four warnings mostly adjusting dosages. Thus, the final prescription rate of excessive doses was reduced to 3.6%, with 20% less excessive doses compared with baseline (p<0.001). No new manifest prescription errors were induced. Physicians' alert adherence correlated with patients' age, prescribed drug class, and reason for the alert. CONCLUSION: During the 90-day study, implementation of a highly specific algorithm-based CDSS substantially improved prescribing quality with a high acceptance rate compared with previous studies.

Detection and prevention of prescriptions with excessive doses in electronic prescribing systems.

INTRODUCTION: Dose dependent adverse drug reactions are often caused by prescribing errors ignoring upper dose limits. Thus, computerised physician order entry incorporating maximum recommended therapeutic doses (MRTDs) might reduce prescriptions of excessive doses. We evaluated the suitability of MRTD information as published in the Summary of Product Characteristics (SPC) (MRTD(SPC)) or by the US Food and Drug Administration (MRTD(FDA)) and the value of Defined Daily Doses (DDD, World Health Organisation) as knowledge bases for an alerting system. METHODS: In a large set of critical-dose drugs (N = 140) we compared MRTD(FDA) and DDD values with the corresponding German MRTD(SPC). We then retrospectively assessed a set of 633 electronically prescribed drugs (EPDs) issued at a university hospital and calculated prescription rates of excessive doses. RESULTS: MRTD(FDA) was similar to MRTD(SPC) in 37% (N = 140), higher in 32%, and lower in 31% of drugs. On average, available DDD values (N = 129) were 1.6 times lower than MRTD(SPC), with 64% being lower, 33% similar, and 3% larger than MRTD(SPC). Prescription rates of excessive doses according to MRTD(FDA) were 2.5-fold higher (6.1%) than according to MRTD(SPC) (2.5%) (p < 0.01). However, only one in four EPDs categorised as overdosed according to MRTD(FDA) exceeded MRTD(SPC), and MRTD(FDA) values were available only for 67% of all assessed EPDs. CONCLUSION: Our study revealed a remarkable number of prescriptions with doses exceeding approved limits. Their prevention appears feasible but the choice of an appropriate database for MRTDs is essential, and differences between available information sources are large.