Assessment tool for hospital admissions related to medications: development and validation in older patients

Development, content validation and standardization of an adult patient prioritization tool for hospital clinical pharmacy services

BACKGROUND

Patient prioritization is a effective strategy to identify high risk patients for targeted Clinical Pharmacy Service (CPS) in hospital pharmacy. However, there is a paucity of patient prioritization tool to use in clinical practice.

OBJECTIVES

Describe the development, content validation and standardization of an adult patient prioritization tool for hospital CPS named, PrioFarClinH.

METHODS

The tool was developed using a stepwise design multi: Scoping Review to identify prioritization criteria/sub-criteria; Delphi technique to obtain consensus under the identified criteria/sub-criteria; Survey with pharmacists evaluating applicability of the criteria/sub-criteria obtained from Delphi; Definition of criteria/sub-criteria to be included in PrioFarClinH attribution of scores. Content validation was performed by a panel of experts evaluating relevance, feasibility, clarity and adequacy of the score. Content Validity Index (CVI) was calculated. Standardization occurred through a retrospective observational study carried out at 24 and 72 h and median of the patient's hospital stay. An intragroup norm was performed, determining percentile ranks of the instrument's total scores. Patients with a P90 score were classified with a high level of prioritization for CPS.

RESULTS

PrioFarClinH is divided into three sections, with prioritization criteria for health issues; therapeutic classes; laboratory parameters. It comprises 51 criteria with specific scores with simple total calculation. None of the criteria presented CVI <0.78, maintaining the items from the initial version of PrioFarClinH. The scores were adjusted per suggestions from the panel of judges. Data were collected from 393 patients. The P90 percentile in the three hospitalization stages (24 h, 72 h, and median) was found, respectively, in the following scores: 18.0, 20.0, and 22.6.

CONCLUSIONS

PrioFarClinH is a comprehensive tool to target and to prioritize adults patients most likely to benefit from CPS. Evidence for adequate content validity was provided. However, further validation of this tool is necessary to establish tool performance.

Medication-Related Hospital Admission Among Patients Admitted to the Emergency Ward at the University of Gondar, North West Ethiopia: A Cross Sectional Study

Background

Medication-related hospital admission (MRHA) is hospitalization due to drug-related problems. MRHAs have been reported to be on the rise in recent decades.

Objective

This study was aimed at determining the prevalence, patterns, and predictors of MRHA among patients visiting the emergency ward of the University of Gondar comprehensive specialized hospital, Ethiopia.

Methods

A cross-sectional study was conducted from June 1, 2022, to August 30, 2022 G.C. in the emergency ward at the University of Gondar Comprehensive Specialized Hospital. The AT-HARM 10 tool was used to collect data from participants who fulfilled the inclusion criteria. Data was entered into EpiData Manager 4.6.0.0 and was exported to Statistical Package for Social Sciences (SPSS) version 24 for analysis. Descriptive statistics were presented using frequency and percentage. Binary logistic regression was applied to identify factors associated with MRHAs with a 95% confidence level, and significance was declared at a p-value <0.05.

Results

The prevalence of MRHAs was 30.5% (95% CI = 27.7-36.4%). More than half (64.52%) of MRHAs were definitely preventable. The majority of MRHAs (48.39%) were severe. Non-compliance (41.12%), followed by untreated indication (26.61%) and adverse drug reaction (12.09%) were the most frequent causes of MRHAs. Renal impairment (AOR = 2.703, 95% CI: 1.29 to 5.663), chronic disease (AOR = 10.95, 95% CI: 4.691 to 25.559), history of traditional medication use (AOR = 2.089, 95% CI: 1.162 to 3.755), and history of hospitalization (AOR = 4.001, 95% CI: 1.98 to 8.089) were significantly associated with MRHAs.

Conclusion

MRHAs were substantially prevalent. Most of the MRHAs were definitely preventable. Renal impairment, chronic disease, history of traditional medication use, and history of hospitalization were predictors of MRHAs. At the university hospital, health care providers should strive to prevent and manage MRHAs appropriately.

Drug-related emergency department visits: external validation of an assessment tool in a general emergency department population

BACKGROUND

The process of identifying drug-related hospitalisations is subjective and time-consuming. Assessment tool for identifying hospital admissions related to medications (AT-HARM10) was developed to simplify and objectify this process. AT-HARM10 has not previously been externally validated, thus the predictive precision of the tool is uncertain.

AIM

To externally validate AT-HARM10 in adult patients admitted to the emergency department (ED).

METHOD

This retrospective cross-sectional study investigated 402 patients admitted to the ED, Diakonhjemmet Hospital, Oslo, Norway. A trained 5th-year pharmacy student used AT-HARM10 to assess all patients and to classify their ED visits as possibly or unlikely drug-related. Assessment of the same patients by an interdisciplinary expert panel acted as the gold standard. The external validation was conducted by comparing AT-HARM10 classifications with the gold standard.

RESULTS

According to AT-HARM10 assessments, 169 (42%) patients had a possible drug-related ED visit. Calculated sensitivity and specificity values were 95% and 71%, respectively. Further, positive and negative predictive values were 46% and 98%, respectively. Adverse effects/over-treatment and suboptimal treatment were the issues most frequently overestimated by AT-HARM10 compared with the gold standard.

CONCLUSION

AT-HARM10 identifies drug-related ED visits with high sensitivity. However, the low positive predictive value indicates that further review of ED visits classified as possible drug-related by AT-HARM10 is necessary. AT-HARM10 can serve as a useful first-step screening that efficiently identifies unlikely drug-related ED visits, thus only a smaller proportion of the patients need to be reviewed by an interdisciplinary expert panel.

[Validation of the French version of the Assessment Tool for Hospital Admissions Related to Medications (AT-HARM10) to detect drug-related hospitalizations]

Admissions of the elderly related to medication errors are frequent in hospital, more than half would be avoidable, but there is currently no validated method in French to identify them. The objective of this work was to validate the French version of the AT-HARM10 tool in order to use it for patients admitted in our healthcare facilities. The tool has 10 questions. A positive response to any of the first 3 questions identify admissions that are unlikely to be drug-related. A positive response to one of the following 7 questions identify possible medication-related admissions. For semantic and linguistic validation, we performed cross-validation with forward-backward translation. To clinically validate the method, we conducted a retrospective study including patients over 65 admitted to short-stay units (UHCD) and to orthopedic surgery units in two French hospitals. Two hundred and sixty-six (266) patients were included ; 166 patients admitted to UHCD (mean age 86.0±5.7 years; sex ratio 0.66; mean number of drugs prescribed 7.7±3.8) and 100 patients admitted to orthopedic units (mean age 85.2±6.1 years; sex ratio 0.43; mean number of prescribed drugs 6.4±3.6). We identified 55 % of admissions probably related to medication in UHCD and 76 % in orthopedic units (p<0.05). The most represented item was P5 in both groups (Might [side] effects of the medications the patient was taking [prescribed or not prescribed] prior to hospitalization have caused the admission [including over-treatment] ? The validated AT-HARM10 tool is now integrated into our clinical pharmacy practices and medication reviews are offered as a priority to patients admitted for iatrogenic reasons.

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.

Elderly patients whose hospitalization was medication-related were more likely to receive medication recommendations by clinical pharmacist than patients whose hospitalization was unlikely medication-related in non-geriatric units

BACKGROUND

Elderly patients are often polymedicated, and drug-related hospitalizations are common in this population. In our hospital, pharmacists from the mobile geriatric team (MGT) coordinate medication reviews (MR) for elderly patients hospitalized in non-geriatric wards, to prevent iatrogenic.

OBJECTIVE

The aim of this work is to determine whether the drug-related origin of hospitalizations can be considered as a targeting criterion for performing MRs.

MATERIAL AND METHOD

We conducted a retrospective study of data from patients who received a MGT's MR between March 2021 and December 2022, from a single center of more than 1000 beds. The drug-related origin of the hospitalization was estimated as probable or unlikely by the AT-HARM10 tool. Between the two groups, we compared the number of potentially inappropriate prescriptions detected by the PIM-check and START/STOPP tools, drug-drug interactions (DI), unintended discrepancies (UDI) at entry reconciliation, the drug burden index (DBI), and the number of drug-related problems (DRP) i.e., START/STOPP score + DI + UDI. Linear regression of the number of DRP by AT-HARM10 score was computed.

RESULTS

110 patients were included. 56 hospitalizations were estimated MRH and 54 non-MRH. Mean age (85.1 ± 7.0), ADL (3.8 ± 1.9), IADL (2.0 ± 1.6), and number of medications at entry (8.9 ± 3.8) were comparable in the 2 groups. Compared with non-MRH group, MRH group had a higher number of START/STOPP criteria (5.7 ± 3.5 vs 3.0 ± 2.6; p < 0.05), PIM-check overuses (2.1 ± 1.7 vs 1.4 ± 1.4; p < 0.05), DI (8.4 ± 9.0 vs 4.7 ± 4.7; p < 0.05), UDI at entry (4.0 ± 3.34 vs 2.2 ± 2.1; p < 0.05), and higher DBI score (0.9 ± 0.7 vs 0.3 ± 0.4; p < 0.05). The number of DRP was higher in group P (17.6 ± 10.8 vs 9.8 ± 6.3; p < 0.00.5). Linear regression showed a positive correlation between AT-HARM10 score and the number of DRP (r = 0.5, p < 0.05) with a coefficient of 7.7 (CI95% = [4.3; 11.1]) and an intercept of 9.8.

DISCUSSION

These results allow us to consider AT-HARM10 score as a targeting criterion for performing MR for elderly patients, as part of a curative approach to drug iatrogenic for these patients.

Risk factors for medication-related short-term readmissions in adults - a scoping review

BACKGROUND

Hospital readmissions due to medication-related problems occur frequently, burdening patients and caregivers emotionally and straining health care systems economically. In times of limited health care resources, interventions to mitigate the risk of medication-related readmissions should be prioritized to patients most likely to benefit. Focusing on general internal medicine patients, this scoping review aims to identify risk factors associated with drug-related 30-day hospital readmissions.

METHODS

We began by searching the Medline, Embase, and CINAHL databases from their inception dates to May 17, 2022 for studies reporting risk factors for 30-day drug-related readmissions. We included all peer-reviewed studies, while excluding literature reviews, conference abstracts, proceeding papers, editorials, and expert opinions. We also conducted backward citation searches of the included articles. Within the final sample, we analyzed the types and frequencies of risk factors mentioned.

RESULTS

After deduplication of the initial search results, 1159 titles and abstracts were screened for full-text adjudication. We read 101 full articles, of which we included 37. Thirteen more were collected via backward citation searches, resulting in a final sample of 50 articles. We identified five risk factor categories: (1) patient characteristics, (2) medication groups, (3) medication therapy problems, (4) adverse drug reactions, and (5) readmission diagnoses. The most commonly mentioned risk factors were polypharmacy, prescribing problems-especially underprescribing and suboptimal drug selection-and adherence issues. Medication groups associated with the highest risk of 30-day readmissions (mostly following adverse drug reactions) were antithrombotic agents, insulin, opioid analgesics, and diuretics. Preventable medication-related readmissions most often reflected prescribing problems and/or adherence issues.

CONCLUSIONS

This study's findings will help care teams prioritize patients for interventions to reduce medication-related hospital readmissions, which should increase patient safety. Further research is needed to analyze surrogate social parameters for the most common drug-related factors and their predictive value regarding medication-related readmissions.

Identifying older adults at increased risk of medication-related readmission to hospital within 30 days of discharge: development and validation of a risk assessment tool

OBJECTIVE

Developing and validating a risk assessment tool aiming to identify older adults (≥65 years) at increased risk of possibly medication-related readmission to hospital within 30 days of discharge.

DESIGN

Retrospective cohort study.

SETTING

The risk score was developed using data from a hospital in southern Sweden and validated using data from four hospitals in the mid-eastern part of Sweden.

PARTICIPANTS

The development cohort (n=720) was admitted to hospital during 2017, whereas the validation cohort (n=892) was admitted during 2017-2018.

MEASURES

The risk assessment tool aims to predict possibly medication-related readmission to hospital within 30 days of discharge. Variables known at first admission and individually associated with possibly medication-related readmission were used in development. The included variables were assigned points, and Youden's index was used to decide a threshold score. The risk score was calculated for all individuals in both cohorts. Area under the receiver operating characteristic (ROC) curve (c-index) was used to measure the discrimination of the developed risk score. Sensitivity, specificity and positive and negative predictive values were calculated using cross-tabulation.

RESULTS

The developed risk assessment tool, the Hospitalisations, Own home, Medications, and Emergency admission (HOME) Score, had a c-index of 0.69 in the development cohort and 0.65 in the validation cohort. It showed sensitivity 76%, specificity 54%, positive predictive value 29% and negative predictive value 90% at the threshold score in the development cohort.

CONCLUSION

The HOME Score can be used to identify older adults at increased risk of possibly medication-related readmission within 30 days of discharge. The tool is easy to use and includes variables available in electronic health records at admission, thus making it possible to implement risk-reducing activities during the hospital stay as well as at discharge and in transitions of care. Further studies are needed to investigate the clinical usefulness of the HOME Score as well as the benefits of implemented activities.

Exploring medication-related hospital admissions and their association with cognitive impairment among acutely admitted older people

INTRODUCTION

Medication-related hospital admissions (MRAs) are common among older people. Persons with cognitive impairment are especially vulnerable to adverse drug effects. At the same time, increased home health care and social support could theoretically prevent medication-related problems. This study aims to estimate the proportion of MRAs and explore their relationship with cognitive impairment in a population of acutely admitted older people.

METHODS

This cross-sectional study comprised 300 individuals aged 75 years or older admitted to an acute medical ward. Two assessors identified possibly MRAs using the Assessment Tool for Hospital Admissions Related to Medications 10 (AT-HARM10). Screening for cognitive impairment was performed during ward stay using a 4-item test related to time orientation. Prevalence odds ratios between cognitive test scores and MRAs were analysed through logistic regression.

RESULTS

Using AT-HARM10, 108 out of 300 admissions (36%) were classified as possibly MRAs by both assessors. Moreover, MRAs were least common among patients with the lowest cognitive test scores. There was an association regarding MRAs when the lowest test score was treated as a cut-off and compared against a reference category comprising all other scores (OR, 0.31 [95% CI 0.10-0.93]; p = 0.037) in a logistic regression model adjusted for cohabitation and home health care.

CONCLUSION

Approximately one-third of the hospital admissions among acutely admitted older people were considered at least possibly medication-related. Hence, there is still a great need to manage medication-related problems and reduce MRAs in this vulnerable population. Using a 4-item instrument to screen for cognitive impairment, there was a negative association between MRA and lowest cognitive test score. Further exploration of the relationship between MRAs and cognitive impairment may indicate appropriate components and target populations for interventions that aims to reduce the risk of MRA.

Developing a core outcome set for hospital deprescribing trials for older people under the care of a geriatrician

BACKGROUND

Half of older people are prescribed unnecessary/inappropriate medications that are not routinely deprescribed in hospital hence there is a need for deprescribing trials. We aimed to develop a Core Outcome Set (COS) for deprescribing trials for older people under the care of a geriatrician during hospital admission.

METHODS

We developed a list of potentially relevant outcomes from the literature. Using a two-round Delphi survey of stakeholder groups representing older people and carers, hospital clinicians, hospital managers, and ageing/deprescribing researchers, each outcome was scored according to Grading of Recommendations Assessment, Development and Evaluation, followed by two consensus workshops to finalise the COS.

RESULTS

Two hundred people completed Round 1 and 114 completed Round 2. Representing all stakeholder groups, 10 people participated in workshop 1 and 10 in workshop 2. Six outcomes were identified as most important, feasible and acceptable to collect in a trial: number of prescribed medicines stopped; number of prescribed medicines with dosage reduced; quality of life; mortality; adverse drug events and number of hospital stays. Three other outcomes were identified as important, but currently too burdensome to collect: number of potentially inappropriate medicines prescribed; burden from medication routine; and medication-related admissions to hospital.

CONCLUSIONS

A COS represents the minimum outcomes that should be collected and reported. Whilst uncommon practice for COS development, the value of considering outcome collection feasibility is demonstrated by the removal of three potential outcomes that, if included, may have compromised COS uptake due to challenges with collecting the data.

Drug-Related Hospital Admissions via the Department of Emergency Medicine: A Cross-Sectional Study From the Czech Republic

Background: Drug-related hospital admissions (DRAs) represent a significant problem affecting all countries worldwide. This study aimed to determine the prevalence and preventability of DRAs, identify the most common medications involved in DRAs, the most common clinical manifestations of DRAs and describe the preventability aspects of DRAs.

Methods: This cross-sectional study examined unplanned hospital admissions to the University Hospital Hradec Králové via the department of emergency medicine in August–November 2018. Data were obtained from electronic medical records. The methodology of DRA identification was adapted from the OPERAM DRA adjudication guide.

Results: Out of 1252 hospital admissions, 195 DRAs have been identified (145 related to treatment safety, 50 related to treatment effectiveness). The prevalence of DRAs was 15.6% (95% CI 13.6–17.6). The most common medication classes involved in DRAs related to treatment safety were Antithrombotic agents, Antineoplastic agents, Diuretics, Corticosteroids for systemic use, and Beta blocking agents. The most common medication classes involved in DRAs related to treatment effectiveness included Diuretics, Antithrombotic agents, Drugs used in diabetes, Agents acting on the renin-angiotensin system, and Lipid modifying agents. Gastrointestinal disorders were the leading causes of DRAs related to treatment safety, while Cardiac disorders were the leading causes of DRAs related to treatment effectiveness. The potential preventability of DRAs was 51%. The highest share of potential preventability in medication classes repeatedly involved in DRAs related to treatment safety was observed for Anti-inflammatory and antirheumatic products, Psycholeptics, and Drugs used in diabetes. Potentially preventable DRAs related to treatment safety were most commonly associated with inappropriate drug selection, inappropriate monitoring, inappropriate dose selection, and inappropriate lifestyle measures. On the contrary, DRAs related to treatment effectiveness were more commonly associated with medication nonadherence.

Conclusion: It should be emphasized that in most DRAs, medications were only a contributory reason of hospital admissions and that benefits and risks have to be carefully balanced. It is highlighted by the finding that the same medication classes (Antithrombotic agents and Diuretics) were among the most common medication classes involved in DRAs related to treatment safety and simultaneously in DRAs related to treatment effectiveness. The study highlighted that apart from problems related to prescribing, problems related to monitoring and patient-related problems represent significant preventability aspects.

Drug-Related Hospital Admissions and Associated Factors among Adults Admitted to Felege Hiwot Comprehensive and Specialized Hospital, North West Ethiopia

Background

A drug-related problem (DRP) is an event involving drug therapy that actually or potentially interferes with the desired therapeutic outcome. Drug-related hospital admission (DRHA) is hospitalization due to one or more DRPs.

Objective

This study was aimed at assessing the prevalence of DRHA and factors associated with it among adults admitted to the internal medicine wards of Felege Hiwot Comprehensive Specialized Hospital.

Methods

A prospective cross-sectional study was conducted using a previously validated tool, AT-HARM 10. Data were collected by two clinical pharmacists from July 1 to September 15, 2020. The data were entered into EpiData software (version 4.2.0.0) and then transported to Statistical Package for Social Sciences (SPSS®) software (version 24) (IBM Corporation) for analysis. Descriptive statistics were presented using frequency and proportion. Binary logistic regression was applied to identify factors associated with DRHAs with a 95% confidence level, and significance was declared at a p value <0.05.

Results

The prevalence of DRHAs was 31.9% (95% CI = 27.7%–36.4%). From this, noncompliance (37.8%) (95% CI = 29.6–45.9), untreated indication (31.9%) (95% CI = 23.7–40), and adverse drug reaction (15.6%) (95% CI = 9.6–21.5) cause the majority of DRHAs. More than a quarter (28.8%) of all admissions were preventable. Most DRHAs were moderate (76.3) and preventable (80.7%). Lower to medium Charlson comorbidity index scores, longer duration of therapy, and not having health insurance were significantly associated with DRHAs.

Conclusion

The prevalence of DRHAs was considerably high. Noncompliance, untreated indications, and adverse drug reactions were the commonest DRPs that caused DRHAs. Lower to medium Charlson comorbidity index scores, longer duration of therapy, and not having health insurance were significantly contributing factors of DRHAs. Therefore, all healthcare providers should prevent, identify, and resolve DRPs to decrease DRHAs in the hospital.

Drug-related hospital admissions in older adults: comparison of the Naranjo algorithm and an adjusted version of the Kramer algorithm

PURPOSE

Drug-related admissions (DRAs) are an important cause of preventable harm in older adults. Multiple algorithms exist to assess causality of adverse drug reactions, including the Naranjo algorithm and an adjusted version of the Kramer algorithm. The performance of these tools in assessing DRA causality has not been robustly shown. This study aimed to evaluate the ability of the adjusted Kramer algorithm to adjudicate DRA causality in geriatric inpatients.

METHODS

DRAs were assessed in a convenience sample of patients admitted to the acute geriatric wards of an academic hospital. DRAs were identified by expert consensus and causality was evaluated using the Naranjo and the adjusted Kramer algorithms. Positive agreement with expert consensus was calculated for both algorithms. A multivariable logistic regression analysis was performed to explore determinants for a DRA.

RESULTS

A total of 218 geriatric inpatients was included of whom 65 (29.8%) experienced a DRA. Positive agreement was 72.3% (95% confidence interval (CI), 59.6-82.3%) and 100% (95% CI, 93.0-100%) for the Naranjo and the adjusted Kramer algorithm, respectively. Diuretics were the main culprits and most DRAs were attributed to a fall (n = 18; 27.7%). A fall-related principal diagnosis was independently associated with a DRA (odds ratio 20.11; 95% CI, 5.60-72.24).

CONCLUSION

The adjusted Kramer algorithm demonstrated a higher positive agreement with expert consensus in assessing DRA causality in geriatric inpatients compared to the Naranjo algorithm. Our results further support implementation of the adjusted Kramer algorithm as part of a standardized DRA assessment in older adults.

Performance of a trigger tool for detecting drug-related hospital admissions in older people: analysis from the OPERAM trial

BACKGROUND

identifying drug-related hospital admissions (DRAs) in older people is difficult. A standardised chart review procedure has recently been developed. It includes an adjudication team (physician and pharmacist) screening using 26 triggers and then performing causality assessment to determine whether an adverse drug event (ADE) occurred (secondary to an adverse drug reaction, overuse, misuse or underuse) and whether the ADE contributed to hospital admission (DRA).

OBJECTIVE

to assess the performance of those triggers in detecting DRA.

DESIGN

retrospective study using data from the OPERAM (OPtimising thERapy to prevent Avoidable hospital admissions in Multimorbid older people) trial.

SETTINGS

four European medical centres.

SUBJECTS

multimorbid (≥ 3 chronic medical conditions) older (≥ 70 years) inpatients with polypharmacy (≥ 5 chronic medications) were enrolled in the OPERAM trial (N = 2,008) and followed for 12 months. We included patients with ≥1 adjudicated hospitalisation during the follow-up.

METHODS

the positive predictive value (PPV; number of DRAs identified by trigger/number of triggers) was calculated for each trigger and for the tool as a whole.

RESULTS

of 1,235 hospitalisations adjudicated for 832 patients, 716 (58%) had at least one trigger; an ADE was identified in 673 (54%) and 518 (42%) were adjudicated as DRAs. The overall PPV of the trigger tool for detecting DRAs was 0.66 [0.62-0.69].

CONCLUSIONS

this tool performs well for identifying DRAs in older people. Based on our results, a revised version of the tool was proposed but will require external validation before it can be incorporated into research and clinical practice.

Drug-related emergency department visits in older patients: an applicability and reliability study of an existing assessment tool

BACKGROUND

AT-HARM10 is a research tool to identify possible drug-related hospital admissions. It is unclear whether the tool can be applied to emergency department visits as well.

AIM

The aim of this study was to investigate the applicability and reliability to identify drug-related emergency department visits in older patients with AT-HARM10.

METHOD

A random sample of 400 patients aged 65 years or older from a clinical trial in four Swedish hospitals was selected. All patients' emergency department visits within 12 months after discharge were assessed with AT-HARM10. The main outcome measures were the percentage of successfully assessed visits for applicability and the interrater reliability (Cohen's kappa).

RESULTS

Of the initial sample (n = 400), 113 patients [median age (interquartile range): 81 (76-88) years] had at least one emergency department visit within 12 months. The patients had in total 184 visits, of which 179 (97%) were successfully assessed. Fifty-three visits (29%) were possibly drug-related. The Cohen's kappa value was 0.70 (substantial).

CONCLUSION

It seems applicable and reliable to identify possible drug-related emergency department visits in addition to hospital admissions in older patients with AT-HARM10. As a consequence, the tool has been updated to support its novel use in clinical research.

Integrating the clinical pharmacist into the emergency department interdisciplinary team: a study protocol for a multicentre trial applying a non-randomised stepped-wedge study design

INTRODUCTION

The 'emergency department (ED) pharmacist' is an integrated part of the ED interdisciplinary team in many countries, which have shown to improve medication safety and reduce costs related to hospitalisations. In Norway, few EDs are equipped with ED pharmacists, and research describing effects on patients has not been conducted. The aim of this study is to investigate the impact of introducing clinical pharmacists to the interdisciplinary ED team. In this multicentre study, the intervention will be pragmatically implemented in the regular operation of three EDs in Northern Norway; Tromsø, Bodø and Harstad. Clinical pharmacists will work as an integrated part of the ED team, providing pharmaceutical care services such as medication reconciliation, review and/or counselling. The primary endpoint is 'time in hospital during 30 days after admission to the ED', combining (1) time in ED, (2) time in hospital (if hospitalised) and (3) time in ED and/or hospital if re-hospitalised during 30 days after admission. Secondary endpoints include time to rehospitalisation, length of stay in ED and hospital and rehospitalisation and mortality rates.

METHODS AND ANALYSIS

We will apply a non-randomised stepped-wedge study design, where we in a staggered way implement the ED pharmacists in all three EDs after a 3, 6 and 9 months control period, respectively. We will include all patients going through the three EDs during the 12-month study period. Patient data will be collected retrospectively from national data registries, the hospital system and from patient records.

ETHICS AND DISSEMINATION

The Regional Committee for Medical and Health Research Ethics and Local Patient Protection Officers in all hospitals have approved the study. Patients will be informed about the ongoing study on a general basis with ads on posters and flyers.

TRIAL REGISTRATION NUMBER

NCT04722588.

Identifying medication-related readmissions: Two students using tools vs a multidisciplinary panel

BACKGROUND

Polypharmacy may result in medication-related readmissions (MRRs). Identifying MRRs is time consuming. Screening of readmissions by students could increase efficiency for healthcare professionals. Recently, two screening tools have been published: the Assessment Tool for identifying Hospital Admissions Related to Medications (AT-HARM10) tool and the Drug-Related Admission (DRA) adjudication guide. It is unknown whether pharmacy students could identify MRRs with these tools.

OBJECTIVE

To compare the agreement between two pharmacy students applying the AT-HARM10 tool and DRA adjudication guide in identifying MRRs vs a multidisciplinary panel.

METHODS

A retrospective study was conducted from February to July 2020 at OLVG hospital. Readmissions within 30 days after discharge from seven departments were reviewed by a multidisciplinary panel (pharmacists and physicians). MRRs were defined as readmission where medication was the main cause or medication significantly contributed to the readmission. Two 5th year pharmacy-students volunteered to blindly apply both tools individually on all MRRs and a random sample of non-MRRs. The consensus results of the students and the multidisciplinary panel were compared and displayed as a percentage and Cohen's kappa (κ).

RESULTS

Three hundred sixty-six readmission cases were selected in total, consisting of 181 MRRs and 185 non-MRRs. The agreement between the students using the AT-HARM10 tool vs the multidisciplinary panel was moderate (80%, κ = 0.60 (95% confidence interval (CI): 0.52-0.68)). The DRA adjudication guide had a moderate agreement (81%, κ = 0.62 (CI: 0.54-0.70)). Students misclassified MRRs mainly because the multidisciplinary panel found disease progression more profound than a contribution of medication.

CONCLUSIONS

Two students have an overall agreement of 80% in comparison with the multidisciplinary panel with a moderate Cohen's kappa. Students are more often overestimated, but they may be a good option to preselect potential MRRs to save time for healthcare professionals. However, some MRRs will be missed.

Medication-related hospital readmissions within 30 days of discharge-A retrospective study of risk factors in older adults

Background

Previous studies have shown that approximately 20% of hospital readmissions can be medication-related and 70% of these readmissions are possibly preventable. This retrospective medical records study aimed to find risk factors associated with medication-related readmissions to hospital within 30 days of discharge in older adults (≥65 years).

Methods

30-day readmissions (n = 360) were assessed as being either possibly or unlikely medication-related after which selected variables were used to individually compare the two groups to a comparison group (n = 360). The aim was to find individual risk factors of possibly medication-related readmissions focusing on living arrangements, polypharmacy, potentially inappropriate medication therapy, and changes made to medication regimens at initial discharge.

Results

A total of 143 of the 360 readmissions (40%) were assessed as being possibly medication-related. Charlson Comorbidity Index (OR 1.15, 95%CI 1.5–1.25), excessive polypharmacy (OR 1.74, 95%CI 1.07–2.81), having adjustments made to medication dosages at initial discharge (OR 1.63, 95%CI 1.03–2.58) and living in your own home, alone, were variables identified as risk factors of such readmissions. Living in your own home, alone, increased the odds of a possibly medication-related readmission 1.69 times compared to living in your own home with someone (p-value 0.025) and 2.22 times compared to living in a nursing home (p-value 0.037).

Conclusion

Possibly medication-related readmissions within 30 days of discharge, in patients 65 years and older, are common. The odds of such readmissions increase in comorbid, highly medicated patients living in their own home, alone, and if having medication dosages adjusted at initial discharge. These results indicate that care planning before discharge and the provision of help with, for example, managing medications after discharge, are factors especially important if aiming to reduce the amount of medication-related readmissions among this population. Further research is needed to confirm this hypothesis.

Hospital admissions to geriatric ward related to adverse drug events: a cross-sectional study from the Czech Republic

Background Geriatric patients represent a vulnerable population in terms of adverse drug events (ADEs). Objective The aims of this study were to determine the prevalence and preventability of hospital admissions to a geriatric ward related to ADEs, to identify medications involved in these ADEs and to describe potential preventability aspects of ADE-related admissions. Setting University Hospital Hradec Králové, Czech Republic. Methods This cross-sectional study evaluated acute hospital admissions to the geriatric ward of University Hospital Hradec Králové over a period of nine months (April-December 2017). Medication reviews were performed in order to identify ADE-related hospital admissions. Causality was assessed using the World Health Organization-Uppsala Monitoring Centre criteria. Modified Schumock-Thornton algorithm was used to assess the preventability of ADEs. Main outcome measure 9-month-prevalence of ADE-related hospital admissions. Results A total of 366 hospital admissions were included. The 9-month-prevalence of ADE-related hospital admissions was 11.75% [95% confidence interval 8.45-15.05]. Antithrombotic agents and diuretics represented the most common medication classes associated with ADEs (30.2% each). Electrolyte disturbances and gastrointestinal haemorrhages and ulcerations were the most frequently observed ADEs associated with hospital admission. Out of 43 ADE-related hospitalisations, 23 (53.5%) were considered potentially preventable. Conclusion The contribution of ADEs to hospital admission to the geriatric ward was not negligible. Our results also suggest that 53.5% of identified ADE-related admissions could be potentially prevented. This finding demonstrates just how important the research on the preventability of medication-related hospitalisations is. Further studies and implementations are still needed aiming to minimize the risk of medication-related harm.

Content Validation through Expert Judgement of an Instrument on the Nutritional Knowledge, Beliefs, and Habits of Pregnant Women

The aim of this study was to conduct content validation through expert judgement of an instrument which explores the nutritional knowledge, beliefs, and habits during pregnancy. This is a psychometric study in which 14 experts participated in the evaluation of each of the questionnaire items, which were divided into two blocks according to the characteristics of sufficiency, clarity, coherence, and relevance. Fleiss’ κ statistic was used to measure strength of agreement. A pre-test with 102 participants was conducted to measure the degree of understandability of the instrument. The strength of agreement obtained for each of the dimensions was almost perfect. For each pair of experts, strength of agreement ranged between substantial and almost perfect. Sufficiency was the characteristic of the questionnaire that obtained the highest values in the two blocks, and was also the most statistically significant (p < 0.001). Coherence was the most statistically significant characteristic in the first block (p = 0.030). Clarity was the most statistically significant characteristic in the second block (p = 0.037). The wording of five of the twenty original items was corrected. The new version of the instrument attained a high degree of understandability. The results suggest that the instrument is valid and may therefore be applied.