scholarly journals Evidence-Based Decision Support for a Structured Care Program on Polypharmacy in Multimorbidity: A Guideline Upgrade Based on a Realist Synthesis

2022 ◽  
Vol 12 (1) ◽  
pp. 69
Author(s):  
Truc Sophia Dinh ◽  
Maria-Sophie Brueckle ◽  
Ana Isabel González-González ◽  
Joachim Fessler ◽  
Ursula Marschall ◽  
...  

Evidence-based clinical guidelines generally consider single conditions, and rarely multimorbidity. We developed an evidence-based guideline for a structured care program to manage polypharmacy in multimorbidity by using a realist synthesis to update the German polypharmacy guideline including the following five methods: formal prioritization in focus groups; systematic guideline review of evidence-based multimorbidity/polypharmacy guidelines; evidence search/synthesis and recommendation development; multidisciplinary consent of recommendations; feasibility test of updated guideline. We identified the need for a better description of the target group, decision support, prioritization of medication, consideration of patient preferences and anticholinergic properties, and of healthcare interfaces. We conducted a systematic guideline review of eight guidelines and extracted and synthesized recommendations using the Ariadne principles. We also included 48 systematic reviews. We formulated and agreed upon 34 recommendations for the revised guideline. During the feasibility test, guideline use enabled 57% of GPs to identify problems, leading to medication changes in 49% and self-assessed improvement in 56% of patients. Although 58% of GPs felt that it was too long, 92% recommended it. Polypharmacy should be systematically reviewed at least annually. Patients, family members, and healthcare professionals should monitor and adjust it using prospective process validation, taking into account patient preferences and agreed treatment goals.

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 47-LB
Author(s):  
THAYER A. CLARK ◽  
LEIGH BAK

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Robert Knoerl ◽  
Emanuele Mazzola ◽  
Fangxin Hong ◽  
Elahe Salehi ◽  
Nadine McCleary ◽  
...  

Abstract Background Chemotherapy-induced peripheral neuropathy (CIPN) negatively affects physical function and chemotherapy dosing, yet, clinicians infrequently document CIPN assessment and/or adhere to evidence-based CIPN management in practice. The primary aims of this two-phase, pre-posttest study were to explore the impact of a CIPN clinician decision support algorithm on clinicians’ frequency of CIPN assessment documentation and adherence to evidence-based management. Methods One hundred sixty-two patients receiving neurotoxic chemotherapy (e.g., taxanes, platinums, or bortezomib) answered patient-reported outcome measures on CIPN severity and interference prior to three clinic visits at breast, gastrointestinal, or multiple myeloma outpatient clinics (n = 81 usual care phase [UCP], n = 81 algorithm phase [AP]). During the AP, study staff delivered a copy of the CIPN assessment and management algorithm to clinicians (N = 53) prior to each clinic visit. Changes in clinicians’ CIPN assessment documentation (i.e., index of numbness, tingling, and/or CIPN pain documentation) and adherence to evidence-based management at the third clinic visit were compared between the AP and UCP using Pearson’s chi-squared test. Results Clinicians’ frequency of adherence to evidence-based CIPN management was higher in the AP (29/52 [56%]) than the UCP (20/46 [43%]), but the change was not statistically significant (p = 0.31). There were no improvements in clinicians’ CIPN assessment frequency during the AP (assessment index = 0.5440) in comparison to during the UCP (assessment index = 0.6468). Conclusions Implementation of a clinician-decision support algorithm did not significantly improve clinicians’ CIPN assessment documentation or adherence to evidence-based management. Further research is needed to develop theory-based implementation interventions to bolster the frequency of CIPN assessment and use of evidence-based management strategies in practice. Trial registration ClinicalTrials.Gov, NCT03514680. Registered 21 April 2018.


Author(s):  
Pratima Saravanan ◽  
Jessica Menold

With the rapid increase in the global amputee population, there is a clear need to assist amputee care providers with their decision-making during the prosthetic prescription process. To achieve this, an evidence-based decision support system that encompasses existing literature, current decision-making strategies employed by amputee care providers and patient-specific factors is proposed. Based on an extensive literature review combined with natural language processing and expert survey, the factors influencing the current decision-making of amputee care providers in prosthetic prescription were identified. Following that, the decision-making strategies employed by expert and novice prosthetists were captured and analyzed. Finally, a fundamental understanding of the effect gait analysis has on the decision-making strategies of prosthetists was studied. Findings from this work lay the foundation for developing a real-time decision support system integrated with a portable gait analysis tool to enhance prescription processes. This is critical in the low-income countries where there is a scarcity of amputee care providers and resources for an appropriate prescription.


2008 ◽  
Vol 54 (11) ◽  
pp. 1872-1882 ◽  
Author(s):  
Eva Nagy ◽  
Joseph Watine ◽  
Peter S Bunting ◽  
Rita Onody ◽  
Wytze P Oosterhuis ◽  
...  

Abstract Background: Although the methodological quality of therapeutic guidelines (GLs) has been criticized, little is known regarding the quality of GLs that make diagnostic recommendations. Therefore, we assessed the methodological quality of GLs providing diagnostic recommendations for managing diabetes mellitus (DM) and explored several reasons for differences in quality across these GLs. Methods: After systematic searches of published and electronic resources dated between 1999 and 2007, 26 DM GLs, published in English, were selected and scored for methodological quality using the AGREE Instrument. Subgroup analyses were performed based on the source, scope, length, origin, and date and type of publication of GLs. Using a checklist, we collected laboratory-specific items within GLs thought to be important for interpretation of test results. Results: The 26 diagnostic GLs had significant shortcomings in methodological quality according to the AGREE criteria. GLs from agencies that had clear procedures for GL development, were longer than 50 pages, or were published in electronic databases were of higher quality. Diagnostic GLs contained more preanalytical or analytical information than combined (i.e., diagnostic and therapeutic) recommendations, but the overall quality was not significantly different. The quality of GLs did not show much improvement over the time period investigated. Conclusions: The methodological shortcomings of diagnostic GLs in DM raise questions regarding the validity of recommendations in these documents that may affect their implementation in practice. Our results suggest the need for standardization of GL terminology and for higher-quality, systematically developed recommendations based on explicit guideline development and reporting standards in laboratory medicine.


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