Iatrogenic risk factors associated with hospital readmission of elderly patients: A matched case-control study using a clinical data warehouse

Predictors of hospital readmission rate in geriatric patients

BACKGROUND

Hospital readmissions among older adults are associated with progressive functional worsening, increased institutionalization and mortality.

AIM

Identify the main predictors of readmission in older adults.

METHODS

We examined readmission predictors in 777 hospitalized subjects (mean age 84.40 ± 6.77 years) assessed with Comprehensive Geriatric Assessment (CGA), clinical, anthropometric and biochemical evaluations. Comorbidity burden was estimated by Charlson Comorbidity Index (CCI). Median follow-up was 365 days.

RESULTS

358 patients (46.1%) had a second admission within 365 days of discharge. Estimated probability of having a second admission was 0.119 (95%C.I. 0.095-0.141), 0.158 (95%C.I. 0.131-0.183), and 0.496 (95%C.I. 0.458-0.532) at 21, 30 and 356 days, respectively. Main predictors of readmission at 1 year were length of stay (LOS) > 14 days (p < 0.001), albumin level < 30 g/l (p 0.018), values of glomerular filtration rate (eGFR) < 40 ml/min (p < 0.001), systolic blood pressure < 115 mmHg (p < 0.001), CCI ≥ 6 (p < 0.001), and cardiovascular diagnoses. When the joint effects of selected prognostic variables were accounted for, LOS > 14 days, worse renal function, systolic blood pressure < 115 mmHg, higher comorbidity burden remained independently associated with higher readmission risk.

DISCUSSION

Selected predictors are associated with higher readmission risk, and the relationship evolves with time.

CONCLUSIONS

This study highlights the importance of performing an accurate CGA, since defined domains and variables contained in the CGA (i.e., LOS, lower albumin and systolic blood pressure, poor renal function, and greater comorbidity burden), when combined altogether, may offer a valid tool to identify the most fragile patients with clinical and functional impairment enhancing their risk of unplanned early and late readmission.

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.

Pharmacist-led medication reconciliation at patient discharge: a tool to reduce healthcare utilization? an observational study in patients 65 years or older

Background

Older patients often experience adverse drug events (ADEs) after discharge that may lead to unplanned readmission. Medication Reconciliation (MR) reduces medication errors that lead to ADEs, but results on healthcare utilization are still controversial. This study aimed to assess the effect of MR at discharge (MRd) provided to patients aged over 65 on their unplanned rehospitalization within 30 days and on both patients’ experience of discharge and their knowledge of their medication.

Methods

An observational multicenter prospective study was conducted in 5 hospitals in Brittany, France.

Results

Patients who received both MR on admission (MRa) and MRd did not have significantly fewer deaths, unplanned rehospitalizations and/or emergency visits related to ADEs (OR = 1.6 [0.7 to 3.6]) or whatever the cause (p = 0.960) 30 days after discharge than patients receiving MRa alone. However, patients receiving both MRa and MRd were more likely to feel that their discharge from the hospital was well organized (p = 0.003) and reported more frequently that their community pharmacist received information about their hospital stay (p = 0.036).

Conclusions

This study found no effect of MRd on healthcare utilization 30 days after discharge in patients over 65, but the process improved patients’ experiences of care continuity. Further studies are needed to better understand this positive impact on their drug care pathway in order to improve patients’ ownership of their drugs, which is still insufficient. Improving both the interview step between pharmacist and patient before discharge and the transmission of information from the hospital to primary care professionals is needed to enhance MR effectiveness.

Trial registration

NCT04018781 July 15, 2019.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03192-3.

What Is the Medication Iatrogenic Risk in Elderly Outpatients for Chronic Pain?

PURPOSE

Medication iatrogeny is a major public health problem that increases as the population ages. Therapeutic escalation to control pain and associated disorders could increase polypharmacy and iatrogeny. This study aimed to characterize the medication iatrogenic risk of elderly outpatients with chronic pain.

METHODS

This was a prospective cohort study recruiting patients 65 years or older with chronic pain. A medication iatrogenic assessment was performed based on the best possible medication history to record risk of adverse drug events (Trivalle score), STOPP (Screening Tool of Older Person's Prescriptions)/START (Screening Tool to Alert doctors to Right Treatment) criteria, and potentially inappropriate medications.

RESULTS

We recruited 100 patients with an average age of 71 years. The median number of medications before pain consultation was 8 (interquartile range = [7;11]). Trivalle score showed that 43% of patients were at moderate or high medication iatrogenic risk. Before consultation, 79% and 75% of patients had at least 1 STOPP or START criterion on their orders, respectively. One-third of orders mentioned benzodiazepine prescribed for more than 4 weeks. At least 1 potentially inappropriate medication was prescribed for 54% of the patients, with a median of 1 per patient (interquartile range = [0;1]). A combination of several anticholinergics was prescribed in 23% of patients.

CONCLUSION

Elderly patients with chronic pain are at risk of medication iatrogeny. Preventive measures as multidisciplinary medication review could reduce the iatrogenic risk in these outpatients.This study is registered at clinicaltrials.gov as NCT04006444 on July 3, 2019.

Emergency room admissions induced by drug-drug interactions in the elderly: a cross-sectional study

The elderly people are increasingly exposed to polymedication and therefore to the risks of drug–drug interactions (DDIs). However, there are few data available on the clinical consequences of these drug combinations. We investigated the impact of the various DDIs classified as severe in terms of emergency admissions in the elderly. A cross‐sectional study was conducted using information from the emergency department admissions of Bordeaux University Hospital between September 2016 and August 2017. Events of interest were frequency of concomitant uses of interacting drugs that are contraindicated or warned against and frequency of emergency admissions due to contraindicated or warned against concomitant uses of interacting drugs. Five thousand, eight hundred sixty (5860) admissions to the emergency department were analyzed. A total of 375 (6.4%) contraindicated or warned against concomitant uses were identified, including 163 contraindicated (43.5%) and 212 warned against (56.5%). Reason for admission appeared likely related to the underlying DDI in 58 cases. Within these, 36 admissions were assessed as probably due to a DDI (0.6% of hospitalizations) and 22 as certainly (0.4% of hospitalizations). Of these, there were 24 (45%) admissions related to a long QT syndrome (LQTS), nine (16%) related to a drug overdose, and eight (14%) related to a hemorrhage. An antidepressant was involved in 22 of the 24 cases of LQTS. Seven of the eight cases of hemorrhage involved the antithrombotic agents / non‐steroidal anti‐inflammatory drugs combination. Elderly patients admitted to emergency departments are particularly exposed to high‐risk potential DDIs. These drug combinations lead mainly to LQTS and involve certain antidepressants.

Factors associated with early 14-day unplanned hospital readmission: a matched case-control study

Background/Purpose

Early unplanned hospital readmissions are burdensome health care events and indicate low care quality. Identifying at-risk patients enables timely intervention. This study identified predictors for 14-day unplanned readmission.

Methods

We conducted a retrospective, matched, case–control study between September 1, 2018, and August 31, 2019, in an 1193-bed university hospital. Adult patients aged ≥ 20 years and readmitted for the same or related diagnosis within 14 days of discharge after initial admission (index admission) were included as cases. Cases were 1:1 matched for the disease-related group at index admission, age, and discharge date to controls. Variables were extracted from the hospital’s electronic health records.

Results

In total, 300 cases and 300 controls were analyzed. Six factors were independently associated with unplanned readmission within 14 days: previous admissions within 6 months (OR = 3.09; 95 % CI = 1.79–5.34, p < 0.001), number of diagnoses in the past year (OR = 1.07; 95 % CI = 1.01–1.13, p = 0.019), Malnutrition Universal Screening Tool score (OR = 1.46; 95 % CI = 1.04–2.05, p = 0.03), systolic blood pressure (OR = 0.98; 95 % CI = 0.97–0.99, p = 0.01) and ear temperature within 24 h before discharge (OR = 2.49; 95 % CI = 1.34–4.64, p = 0.004), and discharge with a nasogastric tube (OR = 0.13; 95 % CI = 0.03–0.60, p = 0.009).

Conclusions

Factors presented at admission (frequent prior hospitalizations, multimorbidity, and malnutrition) along with factors presented at discharge (clinical instability and the absence of a nasogastric tube) were associated with increased risk of early 14-day unplanned readmission.

Readmission within three months after inpatient geriatric care-Incidence, diagnosis and associated factors in a Swedish cohort

INTRODUCTION

Readmissions are very costly, in monetary terms but also for the individual patient's safety and health. Only by understanding the reasons and drivers of readmissions, it is possible to ensure quality of care and improve the situation. The aim of this study was to assess inpatient readmissions during the first three months after discharge from geriatric inpatient care regarding main diagnosis and frequency of readmission. Furthermore, the aim was to analyze association between readmission and patient characteristics including demography and socioeconomics, morbidity, physical function, risk screening and care process respectively.

METHODS

The study includes all individuals admitted for inpatient care at three geriatric departments operated by the Stockholm region during 2016. Readmission after discharge was studied within three different time intervals; readmission within 10 days after discharge, within 11-30 days and within 31-90 days, respectively. Main diagnosis at readmission was assessed.

RESULTS

One fourth of the individuals discharged from inpatient geriatric care was readmitted during the first three months after discharge. The most common main diagnoses for readmission were heart failure, chronic obstructive pulmonary disease and pneumonia. Statistically significant risk factors for readmission included age, sex, number of diagnoses at discharge, and to some extent polypharmacy and destination of discharge.

CONCLUSIONS

Several clinical risk factors relating to physical performance and vulnerability were associated with risk of readmission. Socioeconomic information did not add to the predictability. To enable reductions in readmission rates, proactive monitoring of frail individuals afflicted with chronic conditions is necessary, and an integrated perspective including all stakeholders involved is crucial.

Effect of medicines management versus standard care on readmissions in multimorbid patients: a randomised controlled trial

OBJECTIVE

To investigate the effect of pharmacist-led medicines management in multimorbid, hospitalised patients on long-term hospital readmissions and survival.

DESIGN

Parallel-group, randomised controlled trial.

SETTING

Recruitment from an internal medicine hospital ward in Oslo, Norway. Patients were enrolled consecutively from August 2014 to the predetermined target number of 400 patients. The last participant was enrolled March 2016. Follow-up until 31 December 2017, that is, 21-40 months.

PARTICIPANTS

Acutely admitted multimorbid patients ≥18 years, using minimum four regular drugs from minimum two therapeutic classes. 399 patients were randomly assigned, 1:1, to the intervention or control group. After excluding 11 patients dying in-hospital and 2 erroneously included, the primary analysis comprised 386 patients (193 in each group) with median age 79 years (range 23-96) and number of diseases 7 (range 2-17).

INTERVENTION

Intervention patients received pharmacist-led medicines management comprising medicines reconciliation at admission, repeated medicines reviews throughout the stay and medicines reconciliation and tailored information at discharge, according to the integrated medicines management model. Control patients received standard care.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary endpoint was difference in time to readmission or death within 12 months. Overall survival was a priori the clinically most important secondary endpoint.

RESULTS

Pharmacist-led medicines management had no significant effect on the primary endpoint time to readmission or death within 12 months (median 116 vs 184 days, HR 0.82, 95% CI 0.64 to 1.04, p=0.106). A statistically significantly increased overall survival was observed during 21-40 months follow-up (HR 0.66, 95% CI 0.48 to 0.90, p=0.008).

CONCLUSIONS

Pharmacist-led medicines management had no statistically significant effect on time until readmission or death. A statistically significant increased overall survival was seen. Further studies should be conducted to investigate the effect of such an intervention on a larger scale.

TRIAL REGISTRATION NUMBER

NCT02336113.

Reducing time in acute hospitals: A stepped-wedge randomised control trial of a specialist palliative care intervention in residential care homes

BACKGROUND

Care home residents are frequently transferred to hospital, rather than provided with appropriate and timely specialist care in the care home.

AIM

To determine whether a model of care providing specialist palliative care in care homes, called Specialist Palliative Care Needs Rounds, could reduce length of stay in hospital.

DESIGN

Stepped-wedge randomised control trial. The primary outcome was length of stay in acute care (over 24-h duration), with secondary outcomes being the number and cost of hospitalisations. Care homes were randomly assigned to cross over from control to intervention using a random number generator; masking was not possible due to the nature of the intervention. Analyses were by intention to treat. The trial was registered with ANZCTR: ACTRN12617000080325. Data were collected between 1 February 2017 and 30 June 2018.

SETTING/PARTICIPANTS

1700 residents in 12 Australian care homes for older people.

RESULTS

Specialist Palliative Care Needs Rounds led to reduced length of stay in hospital (unadjusted difference: 0.5 days; adjusted difference: 0.22 days with 95% confidence interval: -0.44, -0.01 and p = 0.038). The intervention also provided a clinically significant reduction in the number of hospitalisations by 23%, from 5.6 to 4.3 per facility-month. A conservative estimate of annual net cost-saving from reduced admissions was A$1,759,011 (US$1.3 m; UK£0.98 m).

CONCLUSION

The model of care significantly reduces hospitalisations through provision of outreach by specialist palliative care clinicians. The data offer substantial evidence for Specialist Palliative Care Needs Rounds to reduce hospitalisations in older people approaching end of life, living in care homes.

Prevalence and risk factors of drug-related hospitalizations in multimorbid patients admitted to an internal medicine ward

Background

Knowledge of risk factors for drug-related hospitalizations (DRHs) is limited.

Aim

To examine the prevalence of DRHs and the relationships between DRHs and various variables in multimorbid patients admitted to an internal medicine ward.

Methods

Multimorbid patients ≥ 18 years, using minimum of four regular drugs from minimum two therapeutic classes, were included from the Internal Medicine ward, Oslo University Hospital, Norway, from August 2014 to March 2016. Clinical pharmacists prospectively conducted medicines reconciliations and reviews to reveal drug-related problems (DRPs). Blinded for identified DRPs, an interdisciplinary group retrospectively made comprehensive, clinical assessments of each patient case to classify hospitalizations as drug-related (DRH) or non-drug-related (non-DRH). Age, sex distribution, Charlson Comorbidity Index (CCI), renal function, aberrant genotype frequencies, body-mass index, number of drugs, proportion of patients which received assistance for drug administration from the home care service, and/or through multidose-dispensed drugs, and occurrence of specific DRP subgroups, were compared separately between patients with DRHs versus non-DRHs, followed by multiple logistic regression analysis.

Results

Hospitalizations were classified as drug-related in 155 of the 404 included patients (38%). Factors significantly associated with DRHs were occurrence of adverse effect DRPs (adjusted odds ratio (OR) 3.3, 95% confidence interval (CI) 1.4–8.0), adherence issues (OR 2.9, 1.1–7.2), home care (OR 1.9, 1.1–3.5), drug monitoring DRPs (OR 1.9, 1.2–3.0), and CCI score ≥6 (OR 0.33, 0.14–0.77). Frequencies of aberrant genotypes did not differ between the patient groups, but in 41 patients with DRHs (26.5%), gene-drug interactions influenced the assessments of DRHs.

Conclusion

DRHs are prevalent in multimorbid patients with adverse effect DRPs and adherence issues as the most important risk factors.