Improving drug prescription in general practice using a novel quality improvement model.

INTRODUCTION: Quality improvement (QI) clusters have been established in many countries to improve healthcare using the Breakthrough Series' collaboration model. We investigated the effect of a novel QI approach based on this model of performed medication reviews and drug prescription in a Norwegian municipality. METHODS: All 27 General Practitioners (GPs) in a mid-size Norwegian municipality were invited to join the intervention, consisting of three peer group meetings during a period of 7-8 months. Participants learned practical QI skills by planning and following up QI projects within drug prescription practice. Evaluation forms were used to assess participants' self-rated improvement, reported medication review reimbursement codes (MRRCs) were used as a process measure, and defined daily doses (DDDs) of potentially inappropriate drugs (PIDs) dispensed to patients aged 65 years or older were used as outcome measures. RESULTS: Of the invited GPs, 25 completed the intervention. Of these, 76% self-reported improved QI skills and 67% reported improved drug prescription practices. Statistical process control revealed a non-random increase in the number of MRRCs lasting at least 7 months after intervention end. Compared with national average data, we found a significant reduction in dispensed DDDs in the intervention municipality for benzodiazepine derivates, benzodiazepine-related drugs, drugs for urinary frequency and incontinence and non-steroid anti-inflammatory and antirheumatic medications. CONCLUSION: Intervention increased the frequency of medication reviews, resulting in fewer potentially inappropriate prescriptions. Moreover, there was self-reported improvement in QI skills in general, which may affect other practice areas as well. Intervention required relatively little absence from clinical practice compared with more traditional QI interventions and could, therefore, be easier to implement.KEY POINTThe current study investigated to what extent a novel model based on the Breakthrough Series' collaborative model affects GP improvement skills in general practice and changes their drug prescription.KEY FINDINGSMost participants reported better improvement skills and improved prescription practice.The number of dispensed potentially inappropriate drugs decreased significantly in the intervention municipality compared with the national average.The model seemed to lead to sustained changes after the end of the intervention.

Associations between night work and BMI, alcohol, smoking, caffeine and exercise--a cross-sectional study.

BACKGROUND: Shift work is associated with negative health effects. Increased prevalence of several cardiovascular risk factors among shift workers/night workers compared with day workers have been shown resulting in increased risk of cardiovascular events among shift workers and night workers. Previous studies have taken a dichotomous approach to the comparison between day and night workers. The present study uses a continuous approach and provides such a new perspective to the negative effects of night work load as a possible risk factor for undesirable health effects. METHODS: This cross sectional study (The SUrvey of Shift work, Sleep and Health (SUSSH)) uses data collected from December 2008 to March 2009. The study population consists of Norwegian nurses. The study collected information about demographic and lifestyle factors: Body Mass Index (BMI), smoking habits, alcohol consumption, caffeine consumption and exercise habits. The lifestyle parameters were evaluated using multiple hierarchical regression and binary logistic regression. Number of night shifts worked last year (NNL) was used as operationalization of night work load. Adjustment for possible confounders were made. Obesity was defined as BMI > 30. Alcohol Consumption was evaluated using the short form of the Alcohol Use Disorders Identification Test Consumption (AUDIT-C). Data were analyzed using SPSS version 22. RESULTS: We had data from 2059 nurses. NNL was significantly and positively associated with BMI, both when evaluated against BMI as a continuous parameter (Beta = .055, p < .05), and against obesity (OR = 1.01, 95 % CI = 1.00-1.01). The AUDIT-C score was significantly and positively associated with hours worked per week (OR = 1.03, 95 % CI = 1.01-1.05). CONCLUSIONS: We found a positive significant association between night work load and BMI. This suggests that workers with a heavy night work load might need special attention and frequent health checks due to higher risk of undesirable health effects.

Associations between night work and anxiety, depression, insomnia, sleepiness and fatigue in a sample of Norwegian nurses.

BACKGROUND: Night work has been reported to be associated with various mental disorders and complaints. We investigated relationships between night work and anxiety, depression, insomnia, sleepiness and fatigue among Norwegian nurses. METHODS: The study design was cross-sectional, based on validated self-assessment questionnaires. A total of 5400 nurses were invited to participate in a health survey through the Norwegian Nurses' Organization, whereof 2059 agreed to participate (response rate 38.1%). Nurses completed a questionnaire containing items on demographic variables (gender, age, years of experience as a nurse, marital status and children living at home), work schedule, anxiety/depression (Hospital Anxiety and Depression Scale), insomnia (Bergen Insomnia Scale), sleepiness (Epworth Sleepiness Scale) and fatigue (Fatigue Questionnaire). They were also asked to report number of night shifts in the last 12 months (NNL). First, the parameters were compared between nurses i) never working nights, ii) currently working nights, and iii) previously working nights, using binary logistic regression analyses. Subsequently, a cumulative approach was used investigating associations between NNL with the continuous scores on the same dependent variables in hierarchical multiple regression analyses. RESULTS: Nurses with current night work were more often categorized with insomnia (OR = 1.48, 95% CI = 1.10-1.99) and chronic fatigue (OR = 1.78, 95% CI = 1.02-3.11) than nurses with no night work experience. Previous night work experience was also associated with insomnia (OR = 1.45, 95% CI = 1.04-2.02). NNL was not associated with any parameters in the regression analyses. CONCLUSION: Nurses with current or previous night work reported more insomnia than nurses without any night work experience, and current night work was also associated with chronic fatigue. Anxiety, depression and sleepiness were not associated with night work, and no cumulative effect of night shifts during the last 12 months was found on any parameters.

Seasonality is associated with anxiety and depression: the Hordaland health study.

BACKGROUND: The purpose of this study was to assess how seasonal changes in mood and behaviour were associated with depression and anxiety symptoms in a sample from a general population, and to investigate how prevalence figures were affected by month of questionnaire completion. METHODS: The target population included all individuals in the Hordaland county (Norway) born 1953-57 (N=29,400). In total, 8598 men (57% response rate) and 9983 women (70% response rate) attended the screening station. Half of the men (randomly chosen) and all of the women were offered a questionnaire to fill in with items on seasonality. This was measured using the Global Seasonality Score (GSS), a central component of the Seasonal Pattern Assessment Questionnaire (SPAQ). The Hospital Anxiety and Depression Scale (HADS) was used to measure anxiety and depression. Both questionnaires were completed by 2980 men (68.9%) and 8074 women (80.9%). RESULTS: Seasonality was positively associated with levels of both anxiety and depression regardless of the season the interview took place. In subjects with a low/moderate degree of seasonality there were modestly higher levels of depressive symptoms during November through March than the other months. LIMITATIONS: We had a substantial number of non-responders. CONCLUSIONS: Our results raise the possibility of seasonality being a separate dimensional trait associated with both anxiety and depression.

Seasonal variations in mood and behaviour associated with gender, annual income and education: the Hordaland Health Study.

OBJECTIVE: To explore the relationship between demographic factors and seasonal changes in mood and behaviour. METHOD: A health survey was conducted among 40-45 year old inhabitants in Hordaland County, Norway. The Global Seasonality Score, investigating seasonal symptoms, was given to 4299 men and 9983 women. Response rates among those receiving the questionnaire were 79.8% for men (n = 3432) and 81.2% for women (n = 8223). RESULTS: High seasonality was reported by 18.4% of men and 22.2% of women. Female gender, low educational level, high level of affective symptomatology and low household income correlated with high seasonality. Among men, being single was also a determinant factor for high seasonality. Reported seasonality also depended on which month the questionnaire was filled in. CONCLUSIONS: In this study, high seasonality was most prevalent among females, being single, having a low annual income and a low education level. The latter two findings are different from expectations which could be drawn from previous studies suggesting an opposite association.

Sleep disturbances in adolescents and young adults with autism and Asperger syndrome.

Sleep problems are commonly reported in children with autistic disorders. Most studies are based on sleep questionnaires and sleep diaries, but polysomnographic and actigraphic data have also been used. In this study we investigated sleep in older individuals (aged 15-25 years) with autism and Asperger syndrome, using sleep questionnaires, sleep diaries and actigraphy. Although the sleep questionnaires completed by parents and caretakers revealed only a moderate degree of sleep problems, greater sleep disturbance was recorded with actigraphy. Using the latter method, low sleep efficiency (below 85 percent) or long sleep latency (more than 30 minutes) were found in 80 percent of the individuals. There was no early morning awakening, contrary to some earlier reports. This study suggests that even though subjective complaints of sleep disturbances are less common in adolescents and young adults with autism, this may be due to an adaptation process rather than an actual reduction in sleep disturbances.