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

Using multiple imputation and intervention-based scenarios to project the mobility of older adults

Background: Projections of the development of mobility limitations of older adults are needed for evidence-based policy making. The aim of this study was to generate projections of mobility limitations among older people in the United States, England, and Finland. Methods: We applied multiple imputation modelling with bootstrapping to generate projections of stair climbing and walking limitations until 2026. A physical activity intervention producing a beneficial effect on self-reported activities of daily living measures was identified in a comprehensive literature search and incorporated in the scenarios used in the projections. We utilised the harmonised longitudinal survey data from the Ageing Trajectories of Health – Longitudinal Opportunities and Synergies (ATHLOS) project (N = 24,982). Results: Based on the scenarios from 2012 to 2026, the prevalence of walking limitations will decrease from 9.4 to 6.4%. A physical activity intervention would decrease the prevalence of stair climbing limitations compared with no intervention from 28.9 to 18.9% between 2012 and 2026. Conclusions: A physical activity intervention implemented on older population seems to have a positive effect on maintaining mobility in the future. Our method provides an interesting option for generating projections by incorporating intervention-based scenarios

Consumption of healthy foods and associated socio-demographic factors among Russian, Somali and Kurdish immigrants in Finland

Aims: We evaluated the consumption of healthy foods among Russian, Somali and Kurdish immigrants in Finland, and examined the relationship between socio-demographic factors and food consumption. Methods: We used data from the Migrant Health and Wellbeing Study (Maamu), a population-based health interview and examination survey in six different municipalities in Finland between 2010 and 2012. Altogether, 635 men and 737 women, aged 18-64 years, of Russian (n = 527), Somali (n = 337) and Kurdish (n = 508) origin were included. The important socio-demographic determinants of healthy food consumption - sex, age, education, place of residence and household size - were assessed by logistic regression. Results: Based on the consumption frequencies of recommended healthy foods - fruits, berries, vegetables, fish and rye bread - immigrants of Russian origin had higher consumption of healthy foods than their peers of Kurdish and Somali origin. Low consumption of fresh vegetables, fruits and berries was found among Somali immigrants. Sex and age were the most important determinants of healthy food consumption, as women and older age groups had diets closer to the national nutrition recommendations. High educational level was also positively associated with healthy food consumption. Conclusions: We found ethnic differences in the consumption of healthy foods among the immigrant groups of Russian, Somali and Kurdish origin in Finland. Socio-demographic factors, especially age, sex and education, seem to also play an important role in immigrants' food consumption. Further studies examining the consumption of fruits, berries and fresh vegetables among Somali immigrants in Finland are needed.Peer reviewe

Predictors of New Airway Obstruction – An 11 Year’s Population-Based Follow-Up Study

In the present study we aimed to investigate the incidence and predictors of spirometry based airway obstruction in a representative population-based sample. Altogether 3,863 subjects, 1,651 males and 2,212 females aged ≥30 years had normal spirometry in year 2000. Fifty-three percent of them were never and 23% current smokers. A re-spirometry was performed 11 years later. Several characteristics, such as level of education, use of alcohol, physical activity, diet using Alternate healthy eating (AHEI) index, body mass index, circumwaist, sensitive C reactive protein (CRP) and cotinine of the laboratory values and co-morbidities including asthma, allergic rhinitis, sleep apnoea and chronic bronchitis, as potential risk factors for airway obstruction were evaluated. Using forced expiratory volume in one second/ forced vital capacity below the lower limit of normal, we observed 124 new cases of airway obstruction showing a cumulative 11-year incidence of 3.2% and corresponding to an incidence rate of 5.6/1,000 per year (PY). The incidence rate was higher in men than in women (6.3/1,000 PY vs. 5.0/1,000 PY, respectively). The strongest risk factors were current smoking (Odds ratio [OR] 2.5) and previously diagnosed asthma (OR 2.1). Sensitive CRP associated with the increased risk and high AHEI index with the decreased risk of airway obstruction. Using the similar study approach our findings on the incidence of airway obstruction are in line with the previously published figures in Europe. We were able to confirm the recent findings on the protective effect of healthy diet.</p

Projecting long-term trends in mobility limitations: Impact of excess weight, smoking and physical inactivity

Background Policy makers need disability projections for planning adequate services and measures for health promotion. The aim of this study is to provide projections on severe mobility limitations up to year 2044 and illustrate how the projected prevalence and the number of persons with severe mobility limitations are affected by potential changes in the modifiable risk factors, namely excess weight, physical inactivity and smoking.Methods We analysed the nationally representative, repeated measures Health 2000 and 2011 Surveys (BRIF8901) with 8615 and 6740 participants, respectively, aged 18 years and older. Severe mobility limitations were defined as major difficulties or unable to walk about half a kilometre. We applied a multistate model on repeated measures to account for both individual risk factors and their changes over time.Results The number of people with severe mobility limitations was projected to double by the year 2044 in Finland, due to the rapid ageing of the population. Eliminating half of the excess weight would reduce their number by one-fifth, while reductions in the prevalence of smoking and physical inactivity would have a minor impact. Even if excess weight, smoking and physical inactivity were completely eliminated, the number of persons with severe mobility limitations is projected to increase.Conclusions Designing and implementing strategies to promote healthy weight are important to slow down the rapid increase in mobility limitations due to population ageing. Providing adequate health and social services for the increasing population with disabilities will nevertheless be an increasing national challenge.</div

Estimating the cumulative risk of postnatal depressive symptoms: the role of insomnia symptoms across pregnancy

Purpose Insomnia symptoms during late pregnancy are a known risk for postnatal depressive symptoms (PDS). However, the cumulative effect of various risk factors throughout pregnancy has not been explored. Our aim was to test how various insomnia symptoms (sleep latency, duration, quality, frequent night awakenings, early morning awakenings) and other risk factors (e.g., history of depression, symptoms of depression and anxiety, as well as sociodemographic factors) in early, mid-, and late pregnancy predict PDS. Methods Using data from the FinnBrain Birth Cohort Study and logistic regression analyses, we investigated the associations of distinct insomnia symptoms at gw 14, 24, and 34 with depressive symptoms (Edinburgh Postnatal Depression Scale score >= 11) 3 months postnatally. We also calculated separate and combined predictive models of PDS for each pregnancy time point and reported the odds ratios for each risk group. Results Of the 2224 women included in the study, 7.1% scored EPDS >= 11 3 months postnatally. Our predictive models indicated that sleep latency of >= 20 min, anxiety in early pregnancy, and insufficient sleep during late pregnancy predicted the risk of PDS. Furthermore, we found highly elevated odds ratios in early, mid-, and late pregnancy for women with multiple PDS risk factors. Conclusion Screening of long sleep latency and anxiety during early pregnancy, in addition to depression screening, could be advisable. Odds ratios of risk factor combinations demonstrate the magnitude of cumulating risk of PDS when multiple risk factors are present.</div

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

Circulating cell-free DNA level predicts all-cause mortality independent of other predictors in the Health 2000 survey

Increased levels of circulating cell-free DNA (cf-DNA) are associated with and predict poor health outcomes. However, its predictive ability for mortality in population-based samples remains understudied. We analysed the capability of cf-DNA to predict all-cause mortality and assessed whether it adds predictive value on top of the other risk factors in the Health 2000 survey (n = 1,257, 46-76 years of age, 15-years-follow-up, 18% deceased). When analysed in a multivariate model with the other factors that independently predicted mortality in the sample (age, gender, self-rated health, smoking and plasma levels of glucose and adiponectin), increases in cf-DNA levels were associated with increased risk of mortality (hazard ratio [HR] for 0.1 mu g increase in cf-DNA: 1.017, 95% confidence interval [CI] 1.008-1.026, p = 0.0003). Inclusion of cf-DNA in the model improved the model fit and discrimination. Stratifying the analysis by cardiovascular disease (CVD) status indicated that cf-DNA predicted mortality equally well in individuals with (HR 1.018, 95% CI 1.008-1.026, p = 0.002) and without (HR 1.018, 95% CI 1.001-1.035, p = 0.033) CVD. In conclusion, our study indicates that cf-DNA level predicts mortality in middle-aged and older individuals, also among those with established CVD, and adds significant value to mortality prediction. Our results thus underscore the role of cf-DNA as a viable marker of health