Comparison of drug-related problem risk assessment tools for older adults: a systematic review

Development and external validation of a prognostic model for time to readmission or death in multimorbid patients

OBJECTIVE

To develop and externally validate a prognostic model built on important factors predisposing multimorbid patients to all-cause readmission and/or death. In addition to identify patients who may benefit most from a comprehensive clinical pharmacist intervention.

METHODS

A multivariable prognostic model was developed based on data from a randomised controlled trial investigating the effect of pharmacist-led medicines management on readmission rate in multimorbid, hospitalised patients. The derivation set comprised 386 patients randomised in a 1:1 manner to the intervention group, i.e. with a pharmacist included in their multidisciplinary treatment team, or the control group receiving standard care at the ward. External validation of the model was performed using data from an independent cohort, in which 100 patients were randomised to the same intervention, or standard care. The setting was an internal medicines ward at a university hospital in Norway.

RESULTS

The number of patients who were readmitted or had died within 18 months after discharge was 297 (76.9 %) in the derivation set, i.e. the randomized controlled trial, and 69 (71.1 %) in the validation set, i.e. the independent cohort. Charlson comorbidity index (CCI; low, moderate or high), previous hospital admissions within the previous six months and heart failure were the strongest prognostic factors and were included in the final model. The efficacy of the pharmaceutical intervention did not prove significant in the model. A prognostic index (PI) was constructed to estimate the hazard of readmission or death (low, intermediate or high-risk groups). Overall, the external validation replicated the result. We were unable to identify a subgroup of the multimorbid patients with better efficacy of the intervention.

CONCLUSIONS

A prognostic model including CCI, previous admissions and heart failure can be used to obtain valid estimates of risk of readmission and death in patients with multimorbidity.

Drug therapy problems among hospitalized patients with cardiovascular disease

BACKGROUND

Optimal utilization of cardiovascular drugs is crucial in reducing morbidity and mortality associated with cardiovascular diseases. However, the effectiveness of these drugs can be compromised by drug therapy problems. Hospitalized patients with cardiovascular diseases, particularly those with multiple comorbidities, polypharmacy, and advanced age, are more susceptible to experiencing drug therapy problems. However, little is known about drug therapy problems and their contributing factors among patients with cardiovascular disease in our setting. Therefore, our study aimed to investigate drug therapy problems and their contributing factors in patients with cardiovascular diseases.

METHOD

A prospective observational study was conducted among hospitalized patients with cardiovascular disease at Ayder Comprehensive Specialized Hospital in the Tigray region of Northern Ethiopia from December 2020 to May 2021. We collected the data through patient interviews and review of patients' medical records. We employed Cipolle's method to identify and categorize drug therapy problems and sought consensus from a panel of experts through review. Data analysis was performed using the Statistical Software Package SPSS version 22. Binary logistic regression analysis was performed to determine the contributing factors of drug therapy problems in patients with cardiovascular disease. Statistical significance was set at p < 0.05.

RESULTS

The study included a total of 222 patients, of whom 117 (52.7%) experienced one or more drug-related problems. We identified 177 drug therapy problems equating to 1.4 ± 0.7 drug therapy problems per patients. The most frequently identified DTP was the need for additional drug therapy (32.4%), followed by ineffective drug therapy (14%), and unnecessary drug therapy (13.1%). The predicting factors for drug therapy problems were old age (AOR: 3.97, 95%CI: 1.68-9.36) and number of medications ≥ 5 (AOR: 2.68, 95%CI: 1.47-5.11).

CONCLUSION

More than half of the patients experienced drug therapy problems in our study. Old age and number of medications were the predicting factors of drug therapy problems. Therefore, greater attention and focus should be given to patients who are at risk of developing drug therapy problems.

A prospective observational study of estimating drug related problems and clinical outcomes in subtypes of stroke patients

BACKGROUND

Stroke is a neurological disease and a leading cause of mortality worldwide. Strokes mainly consist of two types: hemorrhage and ischemia. Stroke patients are being administered multiple drug therapy and are at risk of drug-related problems.

AIM

To estimate drug-related problems (DRPs) and clinical end outcomes in hospitalized stroke patients.

METHODS

Current study was a multicenter, cross-sectional prospective observational study including 250 stroke patients admitted to tertiary care hospitals in Karachi, Pakistan. The study included all clinical subtypes of stroke patients i.e. Stroke, Ischemic stroke, Hemorrhagic stroke, CVA, and TIA. Associations among patient-clinical end outcomes and drug therapy-related variables like DRPs, mortality, and morbidity rates were estimated using Pearson's chi-squared test. Statistical analysis was done by using SPSS software, version 25.

RESULTS

A total of 250 patients participated in this study suffering from different clinical subtypes of stroke i.e. Ischemic stroke, hemorrhagic stroke, TIA, and CVA, including 46% male and 54% female patients. The majority of patients' stay at the hospital was between 1-10 days. The overall mortality rate in stroke patients was 51%. HAIs were observed in 70% of patients, HAIs faced by patients were SAP, CAP, UTI, sepsis, and VAP. Drugs were assessed according to NEML i.e. access group antibiotics, watch group antibiotics, reserve group antibiotics, statins, antiepileptics, and proton pump inhibitors. Majorly ceftriaxone was administered to 79% of patients, piperacillin-tazobactam to 52%, and cefixime to 48%, whereas meropenem was administered to 42% of patients along with vancomycin to 39% of total patients. A high mortality rate was observed in the case of Klebsiella pneumoniae and Staphylococcus aureus i.e. 78% and in the case of streptococcus pneumoniae 61% mortality rate was observed. Due to the presence of DRPs and various other clinical factors like comorbidities, DDIs, HAIs, administration of potentially nephrotoxic drugs, and administration of antibiotics without having CST, hospitalized stroke patients faced many problems.

CONCLUSION

This study helped determine DRPs along with various clinical factors affecting the clinical end outcomes of patients suffering from any clinical subtype of stroke. Due to the enhancement in the evidence of the incidence of DRPs in tertiary care hospitals, pharmacist-led drug therapy review by interfering with doctors and other medical professionals at the patient bed site is needed and should be done to avoid any negative end outcomes and serious issues related to DRPs.

Medication risk checklist for older adults (LOTTA) - development and validation of a self-assessment tool

BACKGROUND

Patient safety strategies highlight patients' own active involvement in ensuring medication safety. A prerequisite for involving patients in their medication therapy is having tools that can assist them in ensuring safe medicine use. Older home-dwelling adults with multiple medications are at high risk for medication-related problems, yet only a few age-specific patient self-administered medication risk screening tools exist. This study aimed to develop, validate, and assess the feasibility of a self-administered medication risk checklist for home-dwelling older adults ≥65 years.

MATERIALS AND METHODS

The draft checklist was formed based on a validated practical nurse-administered Drug Related Problem Risk Assessment Tool supplemented with findings from two systematic literature reviews. The content validity of the draft checklist was determined by a three-round Delphi survey with a panel of 19 experts in geriatric care and pharmacotherapy. An agreement of ≥80% was required. A feasibility assessment (i.e. understandability of the items, fill-out time of the checklist) of the content-validated checklist was conducted among older adults ≥65 years (n = 87) visiting community pharmacies (n = 4). Data were analysed using qualitative content analysis.

RESULTS

The final validated and feasibility-tested Medication Risk Checklist (LOTTA) for home-dwelling older adults consists of eight items screening the highest priority systemic risks (three items), potentially drug-induced symptoms (one item), adherence, and self-management problems (four items). The checklist proved feasible for self-administration, the mean fill-out time being 6.1 min.

CONCLUSIONS

A wide range of potential medication risks related to the medication use process can be identified by patient self-assessment. Screening tools such as LOTTA can enhance early detection of potential medication risks and risk communication between older adults and their healthcare providers. A wider and more integrated use of the checklist could be facilitated by making it electronically available as part of the patient information systems.

Development of a patient-centred medication management model for polymedicated home-dwelling older adults after hospital discharge: results of a mixed methods study

OBJECTIVE

This study aimed to investigate medication management among polymedicated, home-dwelling older adults after discharge from a hospital centre in French-speaking Switzerland and then develop a model to optimise medication management and prevent adverse health outcomes associated with medication-related problems (MRPs).

DESIGN

Explanatory, sequential, mixed methods study based on detailed quantitative and qualitative findings reported previously.

SETTING

Hospital and community healthcare in the French-speaking part of Switzerland.

PARTICIPANTS

The quantitative strand retrospectively examined 3 years of hospital electronic patient records (n=53 690 hospitalisations of inpatients aged 65 years or older) to identify the different profiles of those at risk of 30-day hospital readmission and unplanned nursing home admission. The qualitative strand explored the perspectives of older adults (n=28), their informal caregivers (n=17) and healthcare professionals (n=13) on medication management after hospital discharge.

RESULTS

Quantitative results from older adults' profiles, affected by similar patient-related, medication-related and environment-related factors, were enhanced and supported by qualitative findings. The combined findings enabled us to design an interprofessional, collaborative medication management model to prevent MRPs among home-dwelling older adults after hospital discharge. The model comprised four interactive fields of action: listening to polymedicated home-dwelling older adults and their informal caregivers; involving older adults and their informal caregivers in shared, medication-related decision-making; empowering older adults and their informal caregivers for safe medication self-management; optimising collaborative medication management practices.

CONCLUSION

By linking the retrospective and prospective findings from our explanatory sequential study involving multiple stakeholders' perspectives, we created a deeper comprehension of the complexities and challenges of safe medication management among polymedicated, home-dwelling older adults after their discharge from hospital. We subsequently designed an innovative, collaborative, patient-centred model for optimising medication management and preventing MRPs in this population.

Self-assessed medication risk factors as part of comprehensive health screening in home-dwelling older adults

Background

Poor medication management may negatively impact the health and functional capacity of older adults. This cross-sectional study aimed to identify medication-related risk factors in home-dwelling residents using a validated self-assessment as part of comprehensive health screening.

Methods

The data were derived from comprehensive health screening (PORI75) for older adults of 75 years living in Western Finland in 2020 and 2021. One of 30 validated measures in health screening focused on identifying medication-related risk factors (LOTTA Checklist). The Checklist items were divided into (1) systemic risk factors (10 items) and (2) potentially drug-induced symptoms (10 items). Polypharmacy was categorized according to the number of used drugs: (1) no polypharmacy (<5 drugs), (2) polypharmacy (≥5 and <10), and (3) excessive polypharmacy (≥10). The linearity across these three polypharmacy groups was evaluated using the Cochran-Armitage test.

Results

Altogether, 1024 out of 1094 residents who participated in the health screening consented to this study (n = 569 in 2020 and n = 459 in 2021). The mean number of all drugs in use was 7.0 (range 0-26; SD 4.1), with 71% of the residents using >5 drugs, that is, having polypharmacy. Of the systemic risk factors most common was that the resident had more than one physician responsible for the treatment (48% of the residents), followed by missing drug list (43%), missing regular monitoring (35%), and unclear durations of the medication (35%). The most experienced potentially drug-induced symptoms were self-reported constipation (21%), urinating problems (20%), and unusual tiredness (17%). An increasing number of drugs in use, particularly excessive polypharmacy, was associated with various medication-related risk factors.

Conclusion

As a part of comprehensive health screening the LOTTA Checklist provides useful information to prevent medication-related risk factors in home-dwelling older adults. The Checklist could be used to guide planning and implementing health services in the future.

Systematic Review of Risk Factors Assessed in Predictive Scoring Tools for Drug-Related Problems in Inpatients

Drug-related problems (DRP, defined as adverse drug events/reactions and medication errors) are a common threat for patient safety. With the aim to aid improved allocation of specialist resources and to improve detection and prevention of DRP, numerous predictive scoring tools have been proposed. The external validation and evidence for the transferability of these tools still faces limitations. However, the proposed scoring tools include partly overlapping sets of similar factors, which may allow a new approach to estimate the external usability and validity of individual risk factors. Therefore, we conducted this systematic review and analysis. We identified 14 key studies that assessed 844 candidate risk factors for inclusion into predictive scoring tools. After consolidation to account for overlapping terminology and variable definitions, we assessed each risk factor in the number of studies it was assessed, and, if it was found to be a significant predictor of DRP, whether it was included in a final scoring tool. The latter included intake of ≥ 8 drugs, drugs of the Anatomical Therapeutic Chemical (ATC) class N, ≥1 comorbidity, an estimated glomerular filtration rate (eGFR) <30 mL/min and age ≥60 years. The methodological approach and the individual risk factors presented in this review may provide a new starting point for improved risk assessment.

Consensus on the criteria for patient prioritization in hospital clinical pharmacy services: a Delphi study

BACKGROUND

Hospital pharmacists cannot provide extensive clinical pharmacy service to every inpatient because the demand for these services can exceed pharmacists' available work time. A way to solve this issue is hospital pharmacists to prioritize their clinical tasks. Tool prioritization could determine which patients would benefit from clinical pharmacists' input.

AIM

Establishing consensus on which criteria are relevant for prioritizing patients for clinical pharmacy services.

METHOD

The Delphi method was performed with criteria identified from a previously published Scoping Review. The panel of experts included hospital pharmacists, who evaluated the clinical significance of criteria in a three-round Delphi panel from July to December 2020. They determined the need for sub-criteria and evaluated their clinical significance. The experts also analyzed the criteria/sub-criteria as to their applicability in clinical practice. Consensus criteria were defined as 70% or more participants scoring the criteria as critical and 15% or fewer scoring the criteria as unimportant.

RESULTS

A total of 19 criteria and 230 sub-criteria were included for evaluation by panel experts based on scoping review. Twenty-nine, 22, and 17 experts participated per round, respectively. After completing the three rounds, experts suggested the inclusion of one criterion, the exclusion of one criterion, and the inclusion of 29 sub-criteria. The final list consisted of 18 criteria and 177 sub-criteria, divided into 28 groups.

CONCLUSION

The result was comprehensive and coherent, potentially contributing to developing an instrument for prioritizing hospitalized patients for clinical pharmacy services.

Development and consensus testing of quality indicators for geriatric pharmacotherapy in primary care using a modified Delphi study

Background Polypharmacy is associated with an increased risk of adverse drug events in older people. Although national guidance on geriatric pharmacotherapy exists in Japan, tools to routinely monitor the quality of care provided by community pharmacists are lacking. Aim To develop a set of quality indicators (QIs) to measure the quality of care provided by community pharmacists in improving geriatric pharmacotherapy in primary care in Japan, using a modified Delphi study. Method The development of QIs for the Japanese community pharmacy context followed a two-step process: national guidance review and consensus testing using a modified Delphi study. The latter involved two rounds of rating with a face-to-face meeting between the rounds. Ten experts in geriatric pharmacotherapy in primary care were recruited for the panel discussion. QIs were mapped to three key taxonomies and frameworks: the Anatomical Therapeutic Chemical (ATC) classification system, problems and causes of drug-related problems (DRPs) taxonomy and Donabedian's framework. Results A total of 134 QIs for geriatric pharmacotherapy were developed. This QI set included 111 medicine specific indicators, covering medicines in 243 third-level ATC classifications. QIs were classified into the problem of treatment safety (80%) and causes of drug selection (38%) based on validated classification for DRPs. In Donabedian's framework, most QIs (82%) were process indicators. There were no structure indicators. Conclusion A set of 134 QIs for geriatric pharmacotherapy was rigorously developed. Measurement properties of these QIs will be evaluated for feasibility, applicability, room for improvement, sensitivity to change, predictive validity, acceptability and implementation issues in a subsequent study.

Clinical usefulness of prediction tools to identify adult hospitalized patients at risk of drug-related problems: A systematic review of clinical prediction models and risk assessment tools

AIMS

This study aimed to review systematically all available prediction tools identifying adult hospitalized patients at risk of drug-related problems, and to synthesize the evidence on performance and clinical usefulness.

METHODS

PubMed, Scopus, Web of Science, Embase, and CINAHL databases were searched for relevant studies. Titles, abstracts and full-text studies were sequentially screened for inclusion by two independent reviewers. The Prediction Model Risk of Bias Assessment Tool (PROBAST) and the Revised Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) checklists were used to assess risk of bias and applicability of prediction tools. A narrative synthesis was performed.

RESULTS

A total of 21 studies were included, 14 of which described the development of new prediction tools (four risk assessment tools and ten clinical prediction models) and six studies were validation based and one an impact study. There were variations in tool development processes, outcome measures and included predictors. Overall, tool performance had limitations in reporting and consistency, with the discriminatory ability based on area under the curve receiver operating characteristics (AUROC) ranging from poor to good (0.62-0.81), sensitivity and specificity ranging from 57.0% to 89.9% and 30.2% to 88.0%, respectively. The Medicines Optimisation Assessment tool and Assessment of Risk tool were prediction tools with the lowest risk of bias and low concern for applicability. Studies reporting external validation and impact on patient outcomes were scarce.

CONCLUSION

Most prediction tools have limitations in development and validation processes, as well as scarce evidence of clinical usefulness. Future studies should attempt to either refine currently available tools or apply a rigorous process capturing evidence of acceptance, usefulness, performance and outcomes.

Drug-Related Problems of Patients in Primary Health Care Institutions: A Systematic Review

Introduction: Drug-related problems (DRPs) are not only detrimental to patients' physical health and quality of life but also lead to a serious waste of health care resources. The condition of DRPs might be more severe for patients in primary health care institutions.

Objective: This systematic review aims to comprehensively review the characteristics of DRPs for patients in primary health care institutions, which might help find effective strategies to identify, prevent, and intervene with DRPs in the future.

Methods: We searched three English databases (Embase, The Cochrane Library, and PubMed) and four Chinese databases (CNKI, CBM, VIP, and Wanfang). Two of the researchers independently conducted literature screening, quality evaluation, and data extraction. Qualitative and quantitative methods were combined to analyze the data.

Results: From the 3,368 articles screened, 27 met the inclusion criteria and were included in this review. The median (inter-quartile range, IQR) of the incidences of DRPs was 70.04% (59%), and the median (IQR) of the average number of DRPs per patient was 3.4 (2.8). The most common type of DRPs was “treatment safety.” The causes of DRPs were mainly in the prescribing section, including “drug selection” and “dose selection”, while patients' poor adherence in the use section was also an important cause of DRPs. Risk factors such as the number of medicines, age, and disease condition were positively associated with the occurrence of DRPs. In addition, the medians (IQR) of the rate of accepted interventions, implemented interventions, and solved DRPs were 78.8% (22.3%), 64.15% (16.85%), and 76.99% (26.09%), respectively.

Conclusion: This systematic review showed that the condition of DRPs in primary health care institutions was serious. In pharmaceutical practice, the patients with risk factors of DRPs should be monitored more closely. Pharmacists could play important roles in the identification and intervention of DRPs, and more effective intervention strategies need to be established in the future.