Factors contributing to reported medication administration incidents in patients' homes - A text mining analysis

AIMS: To describe the characteristics of medication administration (MA) incidents reported to have occurred in patients' own homes (reporters' profession, incident types, contributing factors, patient consequence, and most common medications involved) and to identify the connection terms related to the most common contributing factors based on free text descriptions. DESIGN: A retrospective study using descriptive statistical analysis and text mining. METHODS: Medication administration incidents (N = 19,725) reported to have occurred in patients' homes between 2013-2018 in one district in Finland were analysed, describing the data by the reporters' occupation, incident type, contributing factors, and patient consequence. SAS® Text Miner was used to analyse free text descriptions of the MA incidents to understand contributing factors, using concept linking. RESULTS: Most MA incidents were reported by practical (lower level) nurses (77.8%, N = 15,349). The most common category of harm was 'mild harm' (40.1%, N = 7,915) and the most common error type was omissions of drug doses (47.4%, N = 9,343). The medications most commonly described were Marevan [warfarin] (N = 2,668), insulin (N = 811), Furesis [furosemide] (N = 590), antibiotic (N = 446), and Panadol [paracetamol] (N = 416). The contributing factors most commonly reported were 'communication and flow of information' (25.5%, N = 5,038), 'patient and relatives' (22.6%, N = 4,451), 'practices' (9.9%, N = 1,959), 'education and training' (4.8%, N = 949), and 'work environment and resources' (3.0%, N = 598). CONCLUSION: There is need for effective communication and clear responsibilities between home care patients and their relatives and health providers, about MA and its challenges in home environments. Knowledge and skills relating to safe MA are also essential. IMPACT: These findings about MA incidents that have occurred in patients' homes and have been reported by home care professionals demonstrate the need for medication safety improvement in home care

Factors Related to Medication Administration Incidents in England and Wales Between 2007 and 2016: A Retrospective Trend Analysis

OBJECTIVES The aims of the study were to describe medication administration incidents reported in England and Wales between 2007 and 2016, to identify which factors (reporting year, type of incident, patients' age) are most strongly related to reported severity of medication administration incidents, and to assess the extent to which relevant information was underreported or indeterminate. METHODS Medication administration incidents reported to the National Reporting & Learning System between January 1, 2007, and December 31, 2016 were obtained. Characteristics of the data were described using frequencies, and relationships between variables were explored using cross-tabulation. RESULTS A total of 517,384 incident reports were analyzed. Of these, 97.1% (n = 502,379) occurred in acute/general hospitals, mostly on wards (69.1%, n = 357,463), with medicine the most common specialty area (44.5%, n = 230,205). Medication errors were most commonly omitted doses (25.8%, n = 133,397). The majority did not cause patient harm (83.5%, n = 432,097). When only incidents causing severe harm or death (n = 1,116) were analyzed, the most common type of error was omitted doses (24.1%). Most incidents causing severe harm or death occurred in patients aged 56 years or older. For the 10-year period, the percentage of incidents with “no harm” increased (74.1% in 2007 to 86.3% in 2016). For some variables, data were often missing or indeterminate, which has implications for data analysis. CONCLUSIONS Medication administration incidents that do not cause harm are increasingly reported, whereas incidents reported as severe harm and death have declined. Data quality needs to be improved. Underreporting and indeterminate data, inaccuracies in reporting, and coding jeopardize the overall usefulness of these data

Communication issues contributing to medication incidents: Mixed method analysis of hospitals´ incident reports using indicator phrases based on literature

Abstract Aim To identify the types and frequencies of communication issues (communication pairs, person related, institutional, structural, process, and prescription-related issues) detected in medication incident reports and to compare communication issues that caused moderate or serious harm to patients. Background Communication issues have been found to be amongst the main contributing factors of medication incidents, thus necessitating communication enhancement. Design A sequential exploratory mixed-method design. Methods Medication incident reports from Finland (n=500) for the year 2015 in which communication was marked as a contributing factor were used as the data source. Indicator phrases were used for searching communication issues from free texts of incident reports. The detected issues were analysed statistically, qualitatively, and considering the harm caused to the patient. Citations from free texts were extracted as evidence of issues and were classified following main categories of indicator phrases. The EQUATOR?s SRQR checklist was followed in reporting. Results Twenty-eight communication pairs were identified, with nurse-nurse (68.2%; n=341), nurse-physician (41.6%; n=208), and nurse-patient (9.6%; n=48) pairs being the most frequent. Communication issues existed mostly within unit (76.6%, n=383). The most commonly identified issues were digital communication (68.2%; n=341), lack of communication within a team (39.6%; n=198), false assumptions about work processes (25.6%; n=128) and being unaware of guidelines (25.0%; n=125). Collegial feedback, and communication from patients and relatives were the preventing issues. Moderate harm cases were often linked with lack of communication within the unit, digital communication and not following guidelines. Conclusions The interventions should be prioritized to (a) enhancing communication about work-processes, (b) verbal communication about digital prescriptions between professionals, (c) feedback among professionals, and (f) encouraging patients to communicate about medication. Relevance to clinical practice Upon identifying the most harmful and frequent communication issues, interventions to strengthen medication safety can be implemented.Peer reviewe

A semiparametric Bayesian proportional hazards model for interval censored data with frailty effects

<p>Abstract</p> <p>Background</p> <p>Multivariate analysis of interval censored event data based on classical likelihood methods is notoriously cumbersome. Likelihood inference for models which additionally include random effects are not available at all. Developed algorithms bear problems for practical users like: matrix inversion, slow convergence, no assessment of statistical uncertainty.</p> <p>Methods</p> <p>MCMC procedures combined with imputation are used to implement hierarchical models for interval censored data within a Bayesian framework.</p> <p>Results</p> <p>Two examples from clinical practice demonstrate the handling of clustered interval censored event times as well as multilayer random effects for inter-institutional quality assessment. The software developed is called survBayes and is freely available at CRAN.</p> <p>Conclusion</p> <p>The proposed software supports the solution of complex analyses in many fields of clinical epidemiology as well as health services research.</p

Heterogeneity of associations between total and types of fish intake and the incidence of type 2 diabetes: Federated meta-analysis of 28 prospective studies including 956,122 participants

The association between fish consumption and new-onset type 2 diabetes is inconsistent and differs according to geographical location. We examined the association between the total and types of fish consumption and type 2 diabetes using individual participant data from 28 prospective cohort studies from the Americas (6), Europe (15), the Western Pacific (6), and the Eastern Mediterranean (1) comprising 956,122 participants and 48,084 cases of incident type 2 diabetes. Incidence rate ratios (IRRs) for associations of total fish, shellfish, fatty, lean, fried, freshwater, and saltwater fish intake and type 2 diabetes were derived for each study, adjusting for a consistent set of con-founders and combined across studies using random-effects meta-analysis. We stratified all analyses by sex due to observed interaction (p = 0.002) on the association between fish and type 2 diabe-tes. In women, for each 100 g/week higher intake the IRRs (95% CIs) of type 2 diabetes were 1.02 (1.01–1.03, I = 61%) for total fish, 1.04 (1.01–1.07, I = 46%) for fatty fish, and 1.02 (1.00–1.04, I = 33%) for lean fish. In men, all associations were null. In women, we observed variation by geographical location: IRRs for total fish were 1.03 (1.02–1.04, I = 0%) in the Americas and null in other regions. In conclusion, we found evidence of a neutral association between total fish intake and type 2 diabetes in men, but there was a modest positive association among women with heterogeneity across studies, which was partly explained by geographical location and types of fish intake. Future research should investigate the role of cooking methods, accompanying foods and environmental pol-lutants, but meanwhile, existing dietary regional, national, or international guidelines should con-tinue to guide fish consumption within overall healthy dietary patterns