The federal standard medication plan in practice: An observational cross-sectional study on prevalence and quality

A newly developed algorithm for switching outpatient medications to medications listed in the hospital formulary: a prospective real-word evaluation in patients admitted electively to hospital

PURPOSE

In many countries, outpatient and inpatient care are separated. During hospitalization, therefore, switching the outpatient medication to medication of the hospital formulary is required.

METHODS

We newly designed a switching algorithm in six switching steps (S0-S5) and conducted a study at Bundeswehr Hospital Hamburg (300 beds, 80% civilians). We performed (i) a medication reconciliation to obtain information on outpatient medications and (ii) a medication review to solve drug-related-problems, e.g., drug-drug interactions. We applied (iii) the algorithm to switch medications to the hospital formulary.

RESULTS

(i) We identified 475 outpatient medications (median per patient: 4; Q25/Q75 2/7) in 100 patients consecutively admitted to hospital (median age: 71; Q25/Q75: 64/80 years). Of 475 medications, the switching algorithm could not be used since product names were missing in 23.9% and strength in 1.7%. In 3.2%, switching was not required since medication was not prescribed during the hospital stay. (ii) Drug-drug interactions were identified in 31 of 79 patients with more than one medication. (iii) Of 475 medications, 18.5% were on the hospital formulary and therefore did not need to be  switched (S0), 0.2% were on a substitution-exclusion list not allowing switching (S1), 42.0% were switched to a generic medication of the hospital formulary (S2), 1.7% to a therapeutically equivalent medication (S3), 0.4% were patient-individually switched (S4), and for 8.2% a standardized/patient-individual switching was not possible (S5).

CONCLUSIONS

Despite comprehensive medication reconciliation, patient- and medication-related information for switching medications to the hospital formulary was often missing. Once all the necessary information was available, standardized switching could be easily carried out according to a newly developed switching algorithm.

Designing and Implementation of a Digitalized Intersectoral Discharge Management System and Its Effect on Readmissions: Mixed Methods Approach

BACKGROUND

Digital transformation offers new opportunities to improve the exchange of information between different health care providers, including inpatient, outpatient and care facilities. As information is especially at risk of being lost when a patient is discharged from a hospital, digital transformation offers great opportunities to improve intersectoral discharge management. However, most strategies for improvement have focused on structures within the hospital.

OBJECTIVE

This study aims to evaluate the implementation of a digitalized discharge management system, the project "Optimizing instersectoral discharge management" (SEKMA, derived from the German Sektorübergreifende Optimierung des Entlassmanagements), and its impact on the readmission rate.

METHODS

A mixed methods design was used to evaluate the implementation of a digitalized discharge management system and its impact on the readmission rate. After the implementation, the congruence between the planned (logic model) and the actual intervention was evaluated using a fidelity analysis. Finally, bivariate and multivariate analyses were used to evaluate the effectiveness of the implementation on the readmission rate. For this purpose, a difference-in-difference approach was adopted based on routine data of hospital admissions between April 2019 and August 2019 and between April 2022 and August 2022. The department of vascular surgery served as the intervention group, in which the optimized discharge management was implemented in April 2022. The departments of internal medicine and cardiology formed the control group.

RESULTS

Overall, 26 interviews were conducted, and we explored 21 determinants, which can be categorized into 3 groups: "optimization potential," "barriers," and "enablers." On the basis of these results, 19 strategies were developed to address the determinants, including a lack of networking among health care providers, digital information transmission, and user-unfriendliness. On the basis of these strategies, which were prioritized by 11 hospital physicians, a logic model was formulated. Of the 19 strategies, 7 (37%; eg, electronic discharge letter, providing mobile devices to the hospital's social service, and generating individual medication plans in the format of the national medication plan) have been implemented in SEKMA. A survey on the fidelity of the application of the implemented strategies showed that 3 of these strategies were not yet widely applied. No significant effect of SEKMA on readmissions was observed in the routine data of 14,854 hospital admissions (P=.20).

CONCLUSIONS

This study demonstrates the potential of optimizing intersectoral collaboration for patient care. Although a significant effect of SEKMA on readmissions has not yet been observed, creating a digital ecosystem that connects different health care providers seems to be a promising approach to ensure secure and fast networking of the sectors. The described intersectoral optimization of discharge management provides a structured template for the implementation of a similar local digital care networking infrastructure in other care regions in Germany and other countries with a similarly fragmented health care system.

Patients' Use of a Standardized Medication List - A Mixed Methods Study

Purpose

A medication list (ML) is a document listing the patient's entire medication, instructions for use, and indications. In Germany, a national standard was established in 2016 by law. However, data on patients' use of this standardized ML are scarce. We investigated (i) patients' practical use of the ML, (ii) patients' understanding of the ML, (iii) completeness and correctness of the current ML version, and (iv) reasons why patients did not adhere to their ML.

Patients and Methods

Community pharmacists recruited patients possessing a standardized ML with ≥5 medications. Information sources to evaluate the ML were: (a) brown bag analysis, (b) practical demonstration, (c) patient interview, and (d) patient file. Data were analyzed using qualitative and quantitative methods.

Results

Two hundred and eighty-eight patients (median age: 76 years, range: 27-95) were enrolled. (i) 38.5% of the patients used their ML regularly to prepare their medication and 73.3% to inform their physician. (ii) Overall, patients' understanding of the ML was good, with >80% of the patients being able to identify all relevant information. (iii) While n = 2779 medications were actually taken, n = 2539 were documented on the ML. No ML was fully correct and complete. Regarding particularly relevant items, ie, active ingredient, strength, dosage, medication missing or listed but not taken, 79.2% of ML were incorrect or incomplete. Handwritten modifications on the ML were frequent. (iv) Almost 60% of all patients did not follow their ML with "fear of adverse drug reactions" being the most frequently (n = 50) mentioned reason.

Conclusion

Completeness and correctness of the current ML version was poor with handwritten modifications being frequent. Additionally, most of the patients did not adhere to their ML. This indicates that measures that lead to correct and up-to-date ML and improvements in patient counseling about their medication should be developed and implemented into routine practice.

[Acceptance of an oncologic addendum for the application of the German Standardized Medication Plan in oral anticancer drug therapy]

BACKGROUND

The Federal Standardized Medication Plan (BMP) offers the possibility of providing patients with specific information on drug therapy. Cancer patients who are treated with oral anticancer drugs have a great need for information as they take the drugs independently in their home environment. Providing specific instructions for oral anticancer drugs may enhance the patient role and improve medication safety.

METHODS

In a four-step process (needs assessment, compilation of the text modules, pilot and main phase), an oncologic addendum for the BMP was developed and subjected to an acceptance test. Also, a needs assessment was conducted with oncologists, pharmacists and patients to identify important information to be included in the oncologic addendum. Subsequently, the acceptability of the BMP including the addendum ('Onko-BMP') was tested among health care providers and patients in two study phases (pilot and main phase). Updates made to the Onko-BMP were documented at each follow-up visit. At the end of the observation period, discrepancies between a brown bag review and the latest Onko-BMP were identified to evaluate its completeness. In addition, acceptance of the Onko-BMP was analyzed using qualitative methods. At the end of the pilot phase the patients were interviewed and completed a questionnaire at the end of the main phase. Focus interviews and a focus group were conducted with the health care providers.

RESULTS

A total of 347 health care providers and cancer patients participated in the needs assessment, including 167 oncologists, 130 pharmacists, and 50 patients. Suggestions for additional information to be included in the oncologic addendum mainly included instructions for how to take the medication, therapy-limiting side effects as well as potentially relevant interactions with over-the-counter drugs. Ten patients participated in the pilot phase and 60 patients in the main phase of the project. The use of the Onko-BMP was positively evaluated by all participants. The majority of the 178 updates in the main phase were made by the patients themselves. Most frequently, missing items were added (62). After comparison with the brown bag at the end of the observation period, 175 discrepancies for a total of 270 products, including food supplements (mean 6.3 ± 3.9), and 245 drugs (mean 5.7 ± 3.1) taken by the patients were detected, 49 of which were due to missing drugs on the Onko-BMP, mainly on-demand medication (30). 82 documented discrepancies were for prescription drugs. In the qualitative surveys, health care providers indicated that there is a high need for the Onko-BMP. In particular, its use could strengthen the patient's role in therapy. The frequently missing or poor technical requirements for working with the BMP were perceived as limiting its widespread use. Assignment of clear responsibilities and remuneration of all professionals involved were identified as important influential factors for an efficient use of the Onko-BMP. Patients considered the added value of the Onko-BMP primarily to be in their being able to inform their treating physicians and pharmacists about their medication.

CONCLUSIONS

The developed Onko-BMP gained a high level of acceptance among patients and health care providers. It can improve education about oral anticancer drugs and thereby strengthen the patient role. However, in order to ensure widespread use of the tool, the necessary conditions should be created on the part of the health care providers. In particular, the IT infrastructure for its use in daily routine needs to be improved in order to exploit its full potential and ensure its successful large-scale implemention.

Improving Primary Care Medication Processes by Using Shared Electronic Medication Plans in Switzerland: Lessons Learned From a Participatory Action Research Study

Background

Several countries have launched health information technology (HIT) systems for shared electronic medication plans. These systems enable patients and health care professionals to use and manage a common list of current medications across sectors and settings. Shared electronic medication plans have great potential to improve medication management and patient safety, but their integration into complex medication-related processes has proven difficult, and there is little scientific evidence to guide their implementation.

Objective

The objective of this paper is to summarize lessons learned from primary care professionals involved in a pioneering pilot project in Switzerland for the systemwide implementation of shared electronic medication plans. We collected experiences, assessed the influences of the local context, and analyzed underlying mechanisms influencing the implementation.

Methods

In this formative action research study, we followed 5 clusters of health care professionals during 6 months. The clusters represented rural and urban primary care settings. A total of 18 health care professionals (primary care physicians, pharmacists, and nurses) used the pilot version of a shared electronic medication plan on a secure web platform, the precursor of Switzerland’s electronic patient record infrastructure. We undertook 3 group interviews with each of the 5 clusters, analyzed the content longitudinally and across clusters, and summarized it into lessons learned.

Results

Participants considered medication plan management, digitalized or not, a core element of good clinical practice. Requirements for the successful implementation of a shared electronic medication plan were the integration into and simplification of clinical routines. Participants underlined the importance of an enabling setting with designated reference professionals and regular high-quality interactions with patients. Such a setting should foster trusting relationships and nurture a culture of safety and data privacy. For participants, the HIT was a necessary but insufficient building block toward better interprofessional communication, especially in transitions. Despite oral and written information, the availability of shared electronic medication plans did not generate spontaneous demand from patients or foster more engagement in their medication management. The variable settings illustrated the diversity of medication management and the need for local adaptations.

Conclusions

The results of our study present a unique and comprehensive description of the sociotechnical challenges of implementing shared electronic medication plans in primary care. The shared ownership among multiple stakeholders is a core challenge for implementers. No single stakeholder can build and maintain a safe, usable HIT system with up-to-date medication information. Buy-in from all involved health care professionals is necessary for consistent medication reconciliation along the entire care pathway. Implementers must balance the need to change clinical processes to achieve improvements with the need to integrate the shared electronic medication plan into existing routines to facilitate adoption. The lack of patient involvement warrants further study.