Dataset Information

Adverse events in patients in home healthcare: a retrospective record review using trigger tool methodology.

ABSTRACT: OBJECTIVE:Home healthcare is an increasingly common part of healthcare. The patients are often aged, frail and have multiple diseases, and multiple caregivers are involved in their treatment. This study explores the origin, incidence, types and preventability of adverse events (AEs) that occur in patients receiving home healthcare. DESIGN:A study using retrospective record review and trigger tool methodology. SETTING AND METHODS:Ten teams with experience of home healthcare from nine regions across Sweden reviewed home healthcare records in a two-stage procedure using 38 predefined triggers in four modules. A random sample of records from 600 patients (aged 18 years or older) receiving home healthcare during 2015 were reviewed. PRIMARY AND SECONDARY OUTCOME MEASURES:The cumulative incidence of AEs found in patients receiving home healthcare; secondary measures were origin, types, severity of harm and preventability of the AEs. RESULTS:The patients were aged 20-79 years, 280 men and 320 women. The review teams identified 356 AEs in 226 (37.7%; 95% CI 33.0 to 42.8) of the home healthcare records. Of these, 255 (71.6%; 95% CI 63.2 to 80.8) were assessed as being preventable, and most (246, 69.1%; 95% CI 60.9 to 78.2) required extra healthcare visits or led to a prolonged period of healthcare. Most of the AEs (271, 76.1%; 95% CI 67.5 to 85.6) originated in home healthcare; the rest were detected during home healthcare but were related to care outside home healthcare. The most common AEs were healthcare-associated infections, falls and pressure ulcers. CONCLUSIONS:AEs in patients receiving home healthcare are common, mostly preventable and often cause temporary harm requiring extra healthcare resources. The most frequent types of AEs must be addressed and reduced through improvements in interprofessional collaboration. This is an important area for future studies.

SUBMITTER: Schildmeijer KGI

PROVIDER: S-EPMC5781156 | biostudies-other | 2018 Jan

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

Adverse events in patients in home healthcare: a retrospective record review using trigger tool methodology.

Schildmeijer Kristina Görel Ingegerd KGI Unbeck Maria M Ekstedt Mirjam M Lindblad Marléne M Nilsson Lena L

BMJ open 20180103 1

<h4>Objective</h4>Home healthcare is an increasingly common part of healthcare. The patients are often aged, frail and have multiple diseases, and multiple caregivers are involved in their treatment. This study explores the origin, incidence, types and preventability of adverse events (AEs) that occur in patients receiving home healthcare.<h4>Design</h4>A study using retrospective record review and trigger tool methodology.<h4>Setting and methods</h4>Ten teams with experience of home healthcare ...[more]

PMID: 29301764

Similar Datasets

Project description:ObjectivesTraditional approaches to safety and quality screening in the emergency department (ED) are porous and low yield for identifying adverse events (AEs). A better approach may be in the use of trigger tool methodology. We recently developed a novel ED trigger tool using a multidisciplinary, multicenter approach. We conducted a multicenter test of this tool and assess its performance.MethodsIn design and participants, we studied the ED trigger tool for a 13-month period at four EDs. All patients 18 years and older with Emergency Severity Index acuity levels of 1 to 3 seen by a provider were eligible. Reviewers completed standardized training modules. Each site reviewed 50 randomly selected visits per month. A first-level reviewer screened for presence of predefined triggers (findings that increase the probability of an AE). If no trigger is present, the review is deemed complete. When present, a trigger prompts an in-depth review for an AE. Any event identified is assigned a level of harm using the Medication Event Reporting and Prevention (MERP) Index, ranging from a near miss (A) to patient death (I). Events are noted as present on arrival or in the ED, an act of commission or omission, and are assigned one of four event categories. A second-level physician performs a confirmatory review of all AEs and independently reviews 10% of cases to estimate the false-negative rate. All AEs or potential AEs were reviewed in monthly group calls for consensus on findings. The primary outcome is the proportion of visits in which an AE is identified, overall and by site. Secondary outcomes include categories of events, distribution of harm ratings, and association of AEs with sociodemographic and clinical factors and triggers. We present sociodemographic data and details about AEs and results of logistic regression for associations of AEs with of triggers, sociodemographics, and clinical variables.ResultsWe captured 2594 visits that are representative, within site, of their patient population. Overall, the sample is 64% white, 54% female, and with a mean age of 51. Variability is observed between sites for age, race, and insurance, but not sex. A total of 240 events were identified in 228 visits (8.8%) of which 53.3% were present on arrival, 19.7% were acts of omission, and 44.6% were medication-related, with some variability across sites. A MERP F score (contributing to need for admission, higher level of care, or prolonged hospitalization) was the most common severity level (35.4% of events). Overall, 185 (77.1%) of 240 events involved patient harm (MERP level ≥ E), affecting 175 visits (6.7%). Triggers were present in 951 visits (36.6%). Presence of any trigger was strongly associated with an AE (adjusted odds ratio = 4.6, 95% confidence interval = 3.2-6.6). Ten triggers were individually associated with AEs (adjusted odds ratio = 2.1-7.7). Variability was observed across sites in individual trigger associations, event rates, and categories, but not in severity ratings of events. The overall false-negative rate was 6.1%.ConclusionsThe trigger tool approach was successful in identifying meaningful events. The ED trigger tool seems to be a promising approach for identifying all-cause harm in the ED.

Dataset Information

Adverse events in patients in home healthcare: a retrospective record review using trigger tool methodology.

Publications

Adverse events in patients in home healthcare: a retrospective record review using trigger tool methodology.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure