scholarly journals A web application to involve patients in the medication reconciliation process: a user-centered usability and usefulness study

2018 ◽  
Vol 25 (11) ◽  
pp. 1488-1500
Author(s):  
Sophie Marien ◽  
Delphine Legrand ◽  
Ravi Ramdoyal ◽  
Jimmy Nsenga ◽  
Gustavo Ospina ◽  
...  

Abstract Objective Medication reconciliation (MedRec) can improve patient safety by resolving medication discrepancies. Because information technology (IT) and patient engagement are promising approaches to optimizing MedRec, the SEAMPAT project aims to develop a MedRec IT platform based on two applications: the “patient app” and the “MedRec app.” This study evaluates three dimensions of the usability (efficiency, satisfaction, and effectiveness) and usefulness of the patient app. Methods We performed a four-month user-centered observational study. Quantitative and qualitative data were collected. Participants completed the system usability scale (SUS) questionnaire and a second questionnaire on usefulness. Effectiveness was assessed by measuring the completeness of the medication list generated by the patient application and its correctness (ie medication discrepancies between the patient list and the best possible medication history). Qualitative data were collected from semi-structured interviews, observations and comments, and questions raised by patients. Results Forty-two patients completed the study. Sixty-nine percent of patients considered the patient app to be acceptable (SUS Score ≥ 70) and usefulness was high. The medication list was complete for a quarter of the patients (7/28) and there was a discrepancy for 21.7% of medications (21/97). The qualitative data enabled the identification of several barriers (related to functional and non-functional aspects) to the optimization of usability and usefulness. Conclusions Our findings highlight the importance and value of user-centered usability testing of a patient application implemented in “real-world” conditions. To achieve adoption and sustained use by patients, the app should meet patients’ needs while also efficiently improving the quality of MedRec.

2017 ◽  
Author(s):  
Sophie Marien ◽  
Delphine Legrand ◽  
Ravi Ramdoyal ◽  
Val�ry Ramon ◽  
Jimmy Nsenga ◽  
...  

BACKGROUND Medication discrepancies consist of unexplained differences between medication lists at different transition points of care; they are a threat to patient safety. These discrepancies can be solved through medication reconciliation (MedRec), a complex and time-consuming process. Several approaches to optimizing MedRec have been encouraged, including the development of information technology (IT) tools and patient engagement. The SEAMPAT project aims to develop a MedRec IT platform based on two applications (one for the patient, the “patient app”, the other for healthcare professionals), which were developed using a three-iteration user-centered design. The patient app presents the patient with a medication list compiled from different medication resources. OBJECTIVE To evaluate the usability and usefulness of the third iteration of the patient app, from the perspective of different categories of users, with the aims of making recommendations for wider use and informing further research. METHODS We performed a four-month user-centered observational study. After a kick-off session, patients, identified through purposive sampling, were invited to use the patient app at home, to update their medication lists whenever required. Quantitative and qualitative data were collected at different time points to evaluate three dimensions of usability (efficiency, satisfaction, and effectiveness), as well as usefulness. Participants completed two questionnaires on satisfaction and usefulness (including the system usability scale, SUS) at the kick-off and the end of the study. Effectiveness was assessed by measuring the completeness and correctness (i.e. medication discrepancies) of the final medication list generated by the patient application. Qualitative data were collected from observations at different time points and from semi-structured interviews at the end of the study. RESULTS Forty-eight patients agreed to participate and 42 completed the study, of whom 32 connected at least once to the application at home. Sixty-nine percent of patients considered the patient app to be acceptable (SUS Score ≥ 70) and perceived usefulness was high. The medication list was complete for a quarter of the patients and there was a median of two discrepancies per patient. The main causes were technology-related. The qualitative data enabled the identification of several barriers and, thus, of approaches to optimizing usability and usefulness. These relate to both functional (e.g. access, on-screen display, additional functionalities) and non-functional aspects (e.g. patient awareness, concordance between patient and physician) of the application. For future adoption of the tool, it will be important to address these issues. CONCLUSIONS Our findings highlight the importance and value of user-centered usability testing of a patient application implemented in “real-world” conditions. We believe our study also underlines the need to take patients’ points of view into consideration. To achieve adoption and sustained use by patients, the patient app should meet patients’ needs while also efficiently improving the quality of MedRec.


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Amanda S. Mixon ◽  
◽  
G. Randy Smith ◽  
Meghan Mallouk ◽  
Harry Reyes Nieva ◽  
...  

Abstract Background The first Multi-center Medication Reconciliation Quality Improvement Study (MARQUIS1) demonstrated that implementation of a medication reconciliation best practices toolkit decreased total unintentional medication discrepancies in five hospitals. We sought to implement the MARQUIS toolkit in more diverse hospitals, incorporating lessons learned from MARQUIS1. Methods MARQUIS2 is a pragmatic, mentored implementation QI study which collected clinical and implementation outcomes. Sites implemented a revised toolkit, which included interventions from these domains: 1) best possible medication history (BPMH)-taking; 2) discharge medication reconciliation and patient/caregiver counseling; 3) identifying and defining clinician roles and responsibilities; 4) risk stratification; 5) health information technology improvements; 6) improved access to medication sources; 7) identification and correction of real-time discrepancies; and, 8) stakeholder engagement. Eight hospitalists mentored the sites via one site visit and monthly phone calls over the 18-month intervention period. Each site’s local QI team assessed opportunities to improve, implemented at least one of the 17 toolkit components, and accessed a variety of resources (e.g. implementation manual, webinars, and workshops). Outcomes to be assessed will include unintentional medication discrepancies per patient. Discussion A mentored multi-center medication reconciliation QI initiative using a best practices toolkit was successfully implemented across 18 medical centers. The 18 participating sites varied in size, teaching status, location, and electronic health record (EHR) platform. We introduce barriers to implementation and lessons learned from MARQUIS1, such as the importance of utilizing dedicated, trained medication history takers, simple EHR solutions, clarifying roles and responsibilities, and the input of patients and families when improving medication reconciliation.


2018 ◽  
Vol 25 (11) ◽  
pp. 1460-1469 ◽  
Author(s):  
Jennifer E Prey ◽  
Fernanda Polubriaginof ◽  
Lisa V Grossman ◽  
Ruth Masterson Creber ◽  
Demetra Tsapepas ◽  
...  

Abstract Objective Unintentional medication discrepancies contribute to preventable adverse drug events in patients. Patient engagement in medication safety beyond verbal participation in medication reconciliation is limited. We conducted a pilot study to determine whether patients’ use of an electronic home medication review tool could improve medication safety during hospitalization. Materials and Methods Patients were randomized to use a toolbefore orafter hospital admission medication reconciliation to review and modify their home medication list. We assessed the quantity, potential severity, and potential harm of patients’ and clinicians’ medication changes. We also surveyed clinicians to assess the tool’s usefulness. Results Of 76 patients approached, 65 (86%) participated. Forty-eight (74%) made changes to their home medication list [before: 29 (81%),after: 19 (66%),p = .170].Before group participants identified 57 changes that clinicians subsequently missed on admission medication reconciliation. Thirty-nine (74%) had a significant or greater potential severity, and 19 (36%) had a greater than 50-50 chance of harm.After group patients identified 68 additional changes to their reconciled medication lists. Fifty-one (75%) had a significant or greater potential severity, and 33 (49%) had a greater than 50-50 chance of harm. Clinicians reported believing that the tool would save time, and patients would supply useful information. Discussion The results demonstrate a high willingness of patients to engage in medication reconciliation, and show that patients were able to identify important medication discrepancies and often changes that clinicians missed. Conclusion Engaging patients in admission medication reconciliation using an electronic home medication review tool may improve medication safety during hospitalization.


2014 ◽  
Vol 29 (2) ◽  
pp. 132-137 ◽  
Author(s):  
Becky L. Armor ◽  
Avery J. Wight ◽  
Sandra M. Carter

Approximately two-thirds of adverse events posthospital discharge are due to medication-related problems. Medication reconciliation is a strategy to reduce medication errors and improve patient safety. Objective: To evaluate adverse drug events (ADEs), potential ADEs (pADEs), and medication discrepancies occurring between hospital discharge and primary care follow-up in an academic family medicine clinic. Adult patients recently discharged from the hospital were seen by a pharmacist for medication reconciliation between September 1, 2011, and November 30, 2012. The pharmacist identified medication discrepancies and pADEs or ADEs from a best possible medication history obtained from the electronic medical record (EMR) and hospital medication list. In 43 study participants, an average of 2.9 ADEs or pADEs was identified ( N = 124). The most common ADEs/pADEs identified were nonadherence/underuse (18%), untreated medical problems (15%), and lack of therapeutic monitoring (13%). An average of 3.9 medication discrepancies per participant was identified (N = 171), with 81% of participants experiencing at least 1 discrepancy. The absence of a complete and accurate medication list at hospital discharge is a barrier to comprehensive medication management. Strategies to improve medication management during care transitions are needed in primary care.


Author(s):  
Amanda S Mixon ◽  
Sunil Kripalani ◽  
Jason Stein ◽  
Tosha B Wetterneck ◽  
Peter Kaboli ◽  
...  

It is unclear which medication reconciliation interventions are most effective at reducing inpatient medication discrepancies. Five United States hospitals’ interdisciplinary quality improvement (QI) teams were distance mentored by QI-trained physicians. Sites implemented one to seven evidence-based interventions in 791 patients during the 25-month implementation period. Three interventions were associated with significant decreases in potentially harmful discrepancy rates: (1) defining clinical roles and responsibilities, (2) training, and (3) hiring staff to perform discharge medication reconciliation. Two interventions were associated with significant increases in potentially harmful discrepancy rates: training staff to take medication histories and implementing a new electronic health record (EHR). Hospitals should focus first on hiring and training pharmacy staff to assist with medication reconciliation at discharge and delineating roles and responsibilities of clinical staff. We caution hospitals implementing a large vendor EHR, as medication discrepancies may increase. Finally, the effect of medication history training on discrepancies needs further study.


2019 ◽  
Vol 14 (10) ◽  
Author(s):  
Amanda S Mixon ◽  
Sunil Kripalani ◽  
Jason Stein ◽  
Tosha B Wetterneck ◽  
Peter Kaboli ◽  
...  

It is unclear which medication reconciliation interventions are most effective at reducing inpatient medication discrepancies. Five United States hospitals’ interdisciplinary quality improvement (QI) teams were virtually mentored by QI-trained physicians. Sites implemented one to seven evidence-based interventions in 791 patients during the 25-month implementation period. Three interventions were associated with significant decreases in potentially harmful discrepancy rates: (1) defining clinical roles and responsibilities, (2) training, and (3) hiring staff to perform discharge medication reconciliation. Two interventions were associated with significant increases in potentially harmful discrepancy rates: training staff to take medication histories and implementing a new electronic health record (EHR). Hospitals should focus first on hiring and training pharmacy staff to assist with medication reconciliation at discharge and delineating roles and responsibilities of clinical staff. We caution hospitals implementing a large vendor EHR, as medication discrepancies may increase. Finally, the effect of medication history training on discrepancies needs further study.


2021 ◽  
Author(s):  
Phuong Thi Xuan Dong ◽  
Van Thi Thuy Pham ◽  
Linh Thi Nguyen ◽  
Thao Thi Nguyen ◽  
Huong Thi Lien Nguyen ◽  
...  

Abstract Background Elderly patients are at high risk of unintentional medication discrepancies during transition care as they are more likely to have multiple comorbidities and chronic diseases that require multiple medications. The main objective of the study was to measure the occurrence and identify risk factors for unintentional medication discrepancies in elderly inpatients during hospital admission.Methods A prospective observational study was conducted from July to December 2018 in a 800-bed geriatric hospital in Hanoi, North Vietnam. Patients over 60 years of age, admitted to one of selected internal medicine wards, taking at least one chronic medication before admission, and staying at least 48 hours were eligible for enrolment. Medication discrepancies of chronic medications before and after admission of each participant were identified by a pharmacist using a step-by-step protocol for the medication reconciliation process. The identified discrepancies were then classified as intentional or unintentional by an assessment group comprised of a pharmacist and a physician. A logistic regression model was used to identify risk factors of medication discrepancies.Results Among 192 enrolled patients, 328 medication discrepancies were identified; of which 87 (26.5%) were unintentional. 32.3% of patients had at least one unintentional medication discrepancy. The most common unintentional medication discrepancy was omission of drugs (75.9% of 87 medication discrepancies). The logistic regression analysis revealed a positive association between the number of discrepancies at admission and the type of treatment wards. Conclusions Medication discrepancies are common at admission among Vietnamese elderly inpatients. This study confirms the importance of obtaining a comprehensive medication history at hospital admission and supports implementing a medication reconciliation program to reduce the negative impact of medication discrepancy, especially for the elderly population.


BMJ Open ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. e026259 ◽  
Author(s):  
Olivier Giannini ◽  
Nicole Rizza ◽  
Michela Pironi ◽  
Saida Parlato ◽  
Brigitte Waldispühl Suter ◽  
...  

ObjectiveMedication reconciliation (MedRec) is a relevant safety procedure in medication management at transitions of care. The aim of this study was to evaluate the impact of MedRec, including abest possible medication history(BPMH) compared with a standard medication history in patients admitted to an internal medicine ward.DesignProspective interventional study. Data were analysed using descriptive statistics followed by univariate and multivariate Poisson regression models and a zero-inflated Poisson regression model.SettingInternal medicine ward in a secondary care hospital in Southern Switzerland.ParticipantsThe first 100 consecutive patients admitted in an internal medicine ward.Primary and secondary outcome measuresMedication discrepancies between the medication list obtained by the physician and that obtained by a pharmacist according to a systematic approach (BPMH) were collected, quantified and assessed by an expert panel that assigned a severity score. The same procedure was applied to discrepancies regarding allergies. Predicting factors for medication discrepancies were identified.ResultsThe median of medications per patient was 8 after standard medication history and 11 after BPMH. Total admission discrepancies were 524 (5.24 discrepancies per patient) with at least 1 discrepancy per patient. For 47 patients, at least one discrepancy was classified as clinically relevant. Discrepancies were classified as significant and serious in 19% and 2% of cases, respectively. Furthermore, 67% of the discrepancies were detected during the interview conducted by the pharmacist with the patients and/or their caregivers. The number of drugs used and the autonomous management of home therapy were associated with an increased number of clinically relevant discrepancies in a multivariable Poisson regression model.ConclusionEven in an advanced healthcare system, a standardised MedRec process including a BPMH represents an important strategy that may contribute to avoid a notable number of clinically relevant discrepancies and potential adverse drug events.


2019 ◽  
Vol 34 (5) ◽  
pp. 317-324
Author(s):  
Cille Bülow ◽  
Christine Flagstad Bech ◽  
Kirstine Ullitz Faerch ◽  
Jon Trærup Andersen ◽  
Helle Byg Armandi ◽  
...  

Discrepancies between electronic prescribing systems and patients' actual use of medicines can result in adverse events and medication errors and have serious consequences for the patients. The discrepancies can be identified when performing a thorough medication reconciliation. Computerized health care systems throughout the Danish health care sector are integrated with the Shared Medication Record (SMR). In the SMR, current medication and medication prescriptions are registered. The aim of this study was to evaluate the number and types of discrepancies between medications listed in the SMR and an updated medication list, obtained through a thorough medication reconciliation, for patients admitted in Danish hospitals. Pharmacists listed the number and type of discrepancies for 412 patients. A total of 1,004 discrepancies were registered, with a mean number of 2.4 medication discrepancies per patient. For 25% (n = 101) of the patients, no discrepancies were found, 20% (n = 86) had one discrepancy, and 16% (n = 66) had five or more discrepancies. More than 50% of the patients had one or more medications in the SMR that the patient did not administer, and 12.6% used medications that were not listed in the SMR. This shows that the SMR should not be used as the only source of information when recording medication history.


2016 ◽  
Vol 24 (1) ◽  
pp. 227-240 ◽  
Author(s):  
Sophie Marien ◽  
Bruno Krug ◽  
Anne Spinewine

Objectives: Medication reconciliation (MedRec) is essential for reducing patient harm caused by medication discrepancies across care transitions. Electronic support has been described as a promising approach to moving MedRec forward. We systematically reviewed the evidence about electronic tools that support MedRec, by (a) identifying tools; (b) summarizing their characteristics with regard to context, tool, implementation, and evaluation; and (c) summarizing key messages for successful development and implementation. Materials and Methods: We searched PubMed, the Cumulative Index to Nursing and Allied Health Literature, Embase, PsycINFO, and the Cochrane Library, and identified additional reports from reference lists, reviews, and patent databases. Reports were included if the electronic tool supported medication history taking and the identification and resolution of medication discrepancies. Two researchers independently selected studies, evaluated the quality of reporting, and extracted data. Results: Eighteen reports relative to 11 tools were included. There were eight quality improvement projects, five observational effectiveness studies, three randomized controlled trials (RCTs) or RCT protocols (ie, descriptions of RCTs in progress), and two patents. All tools were developed in academic environments in North America. Most used electronic data from multiple sources and partially implemented functionalities considered to be important. Relevant information on functionalities and implementation features was frequently missing. Evaluations mainly focused on usability, adherence, and user satisfaction. One RCT evaluated the effect on potential adverse drug events. Conclusion: Successful implementation of electronic tools to support MedRec requires favorable context, properly designed tools, and attention to implementation features. Future research is needed to evaluate the effect of these tools on the quality and safety of healthcare.


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