Incidence of short-term community hospital stays and clinical profiles of patients: the Finnish Community Hospital Cohort Study.

OBJECTIVE: A community hospital system covers the entire population of Finland. Yet there is little research on the system beyond routine statistics. More knowledge is needed on the incidence of hospital stays and patient profiles. We investigated the incidence of short-term community hospital stays and the features of care and patients. DESIGN: Prospective observational study. SETTING: Community hospitals in the catchment area of Kuopio University Hospital in Finland. SUBJECTS: Short-term (up to one month) community hospital stays of adult residents. MAIN OUTCOME MEASURES: The outcome was the incidence rate of short-term community hospital stays according to age, sex and the first underlying diagnoses. RESULTS: A number of 13,482 short-term community hospital stays were analyzed. The patients' mean age was 77 years. The incidence rate of short-term hospital stays was 28.6 stays per 1000 person-years among residents aged <75 years and 419.0 among residents aged ≥75 years. In men aged <75 years, the hospital stay incidence was about 40% higher than in women of the same age but in residents aged ≥75 years incidences did not differ between sexes. The most common diagnostic categories were vascular and respiratory diseases, injuries and mental illnesses. CONCLUSIONS: The incidence rate of short-term community hospital stays increased sharply with age and was highest among women aged ≥75 years. Care was required for acute and chronic conditions common in older adults. IMPLICATIONS: Community hospitals have a substantial role in hospital care of older adults.

Finland has a broad network of community hospitals covering the entire population. More knowledge is needed on incidences and patient profiles of community hospital stays.The incidence of short-term community hospital stays increased sharply with age and was the highest among women aged ≥75 years.Vascular and respiratory diseases accounted for most of the community hospital admissions.Community hospitals play an important role in the care of an aging population.

Finnish nurses' attitudes towards their role in the euthanasia process.

BACKGROUND: Nurses' voices remain unheard in most debates about euthanasia, although their crucial role in the euthanasia process is widely acknowledged. Moreover, in Canadian euthanasia law, nurses have a more active role, which further highlights the need for knowledge about nurses' attitudes towards their role in the euthanasia process. RESEARCH QUESTIONS: What are Finnish nurses' attitudes towards their potential role in the euthanasia process? Which characteristics are associated with those attitudes? RESEARCH DESIGN: Cross-sectional web-based survey. PARTICIPANTS AND RESEARCH CONTEXT: 1003 nurses, recruited via social media and the members' bulletin of the Finnish Nurses Association. ETHICAL CONSIDERATIONS: Ethical approval was obtained from the Committee on Research Ethics of the university to which the first author was affiliated. FINDINGS: The great majority (85.2%) of nurses felt that their perspective should be considered in decision-making related to euthanasia. Furthermore, most of the participants (74.7%) reported willingness to participate in the euthanasia process if it were legal, and 88.6% agreed that a nurse should be present when euthanasia is performed if the patient wishes so. Furthermore, over half agreed that some of the preparatory tasks were part of their job description. However, a minority (32.9%) agreed with a possible obligation to participate based on their profession. Nurses' age, religiosity and educational level influenced their attitudes in the current results. DISCUSSION: Despite the strong agreement on decision-making concerning euthanasia and participation in the euthanasia process, obligation to participate based on the profession was rejected by most participants. Nurses regarded themselves as consultants in the decision-making process, which may indicate their unwillingness to share the responsibility for the decision itself. CONCLUSION: Specific safety mechanisms should be considered to protect nurses who refuse to be involved in the euthanasia process due to harm that involuntary participation might cause.

Nurses' attitudes towards euthanasia in conflict with professional ethical guidelines.

BACKGROUND: Despite the significant role of nurses in end-of-life care, their attitudes towards euthanasia are under-represented both in the current literature and the controversial debate that is ongoing in several countries. RESEARCH QUESTIONS: What are the attitudes towards euthanasia among Finnish nurses? Which characteristics are associated with those attitudes? RESEARCH DESIGN: Cross-sectional web-based survey. Participants and research context: A total of 1003 nurses recruited via the members' bulletin of the Finnish Nurses Association and social media. Ethical considerations: Ethical approval was obtained from the Committee on Research Ethics of the university to which the authors were affiliated. FINDINGS: The majority (74.3%) of the participants would accept euthanasia as part of Finnish healthcare, and 61.8% considered that Finland would benefit from a law permitting euthanasia. Most of the nurses (89.9%) thought that a person must have the right to decide on his or her own death; 77.4% of them considered it likely that they would themselves make a request for euthanasia in certain situations. DISCUSSION: The value of self-determination and the ability to choose the moment and manner of one's death are emphasized in the nurses' attitudes towards euthanasia. CONCLUSION: A continuous dialogue about euthanasia and nurses' shared values is crucial due to the conflict between nurses' attitudes and current ethical guidelines on nursing.

The Traditional Model Does Not Explain Attitudes Toward Euthanasia: A Web-Based Survey of the General Public in Finland.

The debate about euthanasia is ongoing in several countries including Finland. However, there is a lack of information on current attitudes toward euthanasia among general Finnish public. The traditional model for predicting individuals' attitudes to euthanasia is based on their age, gender, educational level, and religiosity. However, a new evaluation of religiosity is needed due to the limited operationalization of this factor in previous studies. This study explores the connections between the factors of the traditional model and the attitudes toward euthanasia among the general public in the Finnish context. The Finnish public's attitudes toward euthanasia have become remarkably more positive over the last decade. Further research is needed on the factors that predict euthanasia attitudes. We suggest two different explanatory models for consideration: one that emphasizes the value of individual autonomy and another that approaches euthanasia from the perspective of fears of death or the process of dying.

Bayesian prediction of treatment outcome in anorexia nervosa: a preliminary study.

BACKGROUND: Knowledge of the prognostic factors predicting treatment outcome in anorexia nervosa (AN) measured with health-related quality of life (HRQoL) is limited. AIMS: We performed a novel statistical analysis to identify factors predicting treatment outcome in AN. METHODS: 39 patients entering treatment of an ICD-10-defined AN completed the 15D HRQoL survey, the Eating Disorder Inventory (EDI) and a questionnaire evaluating self reported health status and eating habits before and 2 years after the start of treatment. The analysis was based on a Bayesian approach, which allows analyses of small data sets, and was performed using a naïve Bayes classifier. RESULTS: An impaired follow-up HRQoL score was associated with three baseline risk factors: low self-reported vitality, high scores in eating control and a poor reported health status. Low baseline body mass index (BMI) and a high score in the eating dimension of the 15D predicted low follow-up BMI. CONCLUSIONS: In our preliminary study, we identified a set of variables predicting poor HRQoL in AN. An effort to treat these symptoms effectively in the beginning of AN treatment may influence the outcome.

Bayesian predictors of very poor health related quality of life and mortality in patients with COPD.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is associated with increased mortality and poor health-related quality of life (HRQoL) compared with the general population. The objective of this study was to identify clinical characteristics which predict mortality and very poor HRQoL among the COPD population and to develop a Bayesian prediction model. METHODS: The data consisted of 738 patients with COPD who had visited the Pulmonary Clinic of the Helsinki and Turku University Hospitals during 1995-2006. The data set contained 49 potential predictor variables and two outcome variables: survival (dead/alive) and HRQoL measured with a 15D instrument (very poor HRQoL < 0.70 vs. typical HRQoL ≥ 0.70).In the first phase of model validation we randomly divided the material into a training set (n = 538), and a test set (n = 200). This procedure was repeated ten times in random fashion to obtain independently created training sets and corresponding test sets. Modeling was performed by using the training set, and each model was tested by using the corresponding test set, repeated in each training set. In the second phase the final model was created by using the total material and eighteen most predictive variables. The performance of six logistic regressions approaches were shown for comparison purposes. RESULTS: In the final model, the following variables were associated with mortality or very poor HRQoL: age at onset, cerebrovascular disease, diabetes, alcohol abuse, cancer, psychiatric disease, body mass index, Forced Expiratory Volume (FEV1) % of predicted, atrial fibrillation, and prolonged QT time in ECG. The prediction accuracy of the model was 77%, sensitivity 0.30, specificity 0.95, positive predictive value 0.68, negative predictive value 0.78, and area under the ROC curve 0.69. While the sensitivity of the model reminded limited, good specificity, moderate accuracy, comparable or better performance in classification and better performance in variable selection and data usage in comparison to the logistic regression approaches, and positive and negative predictive values indicate that the model has potential in predicting mortality and very poor HRQoL in COPD patients. CONCLUSION: We developed a Bayesian prediction model which is potentially useful in predicting mortality and very poor HRQoL in patients with COPD.

Factors Associated With Discharge Destination in Older Patients: Finnish Community Hospital Cohort Study.

OBJECTIVES: Primary care physician-led community hospitals provide basic hospital care for older people in Finland. Yet little is known of the outcomes of the care. We investigated factors associated with discharge destination after hospitalization in a community hospital and the role of active rehabilitation during the stay. DESIGN: Prospective observational study. SETTING AND PARTICIPANTS: Short-term community hospital stays of older adults (≥65 years) living in the Kuopio University Hospital district in central and eastern Finland. METHODS: Data on short-term (1-31 days) hospital stays from 51 community hospitals were collected with an electronic survey between January and June 2016. Physicians, secretaries, and rehabilitation staff from each community hospital completed the data collection form. Discharge destination was defined as home, residential care or death, and active rehabilitation as frequency of rehabilitation at least once a day. Analyses were conducted using the Bayesian approach and the BayesiaLab 9.1 tool. RESULTS: Data of 11,628 community hospital stays were analyzed. The patients' mean age was 81.6 years (SD 7.9), and 57.5% were women. A younger age (65-74 years), a high number of rehabilitation staff (>2 per 10 patients), and receiving rehabilitation at least once a day were associated with discharging patients to their own homes. Daily rehabilitation was associated with returning to home in all patient groups. CONCLUSIONS AND IMPLICATIONS: Older patients admitted to a community hospital for any reason may benefit from active rehabilitation. The role of community hospitals in the acute care and rehabilitation of older patients is important in aging societies.

Costs of intensive psychiatric care for treatment-resistant minors.

BACKGROUND: Mental health problems in childhood and adolescence result in high costs to society. Despite the relevance of these problems, there are still relatively few economic evaluations of this domain, in particular the evaluation of the costs of treatment-resistant minors. AIM OF THE STUDY: The study is aimed to evaluate the costs of mental services use of 52 treatment-resistant minors at the Intensive Psychiatric Care Unit of the Niuvanniemi Hospital, in Kupio, Finland, and the costs of the mental health services used by these patients before their referral to this unit. METHODS: The data were collected from case history files of minors (N 2dd = 2dd 52) who were directed to the intensive psychiatric care unit between 2004 and 2007. The data included information of the use of earlier specialised medical psychiatric care. The study evaluated the cost of daily bed charges for treatment-resistant minors. RESULTS: The mean duration of the intensive psychiatric care unit treatment was twelve months. The average cost was 367,150/patient. Fifty-one per cent of the minors were discharged to less intensive mental health services after the intensive psychiatric care. CONCLUSIONS: The costs of intensive psychiatric treatment are currently high. Benefits may be achieved over time. Further research should monitor and analyse the benefit of such expensive treatment on the outcomes of treatment-resistant patients over time, an investment in the minors' future, that ultimately benefits society.

Data-based nurse staffing indicators with Bayesian networks explain nurse job satisfaction: a pilot study.

AIM: This paper is a report of a pilot study to examine the relationship of nursing intensity, work environment intensity and nursing resources to nurse job satisfaction. BACKGROUND: There is an ever increasing amount of information in hospital information systems; however, still very little of it is actually used in nursing management and leadership. METHODS: The combination of a retrospective time series and cross-sectional survey data was used. The time series patient data of 9704 in/outpatients and nurse data of 110 nurses were collected from six inpatient units in a medical clinic of a university hospital in Finland in 2006. A unit-level measure of nurse job satisfaction was collected with a survey (n = 98 nurses) in the autumn of 2006. Bayesian networks were applied to examine a model that explains nurse job satisfaction. RESULTS: In a hospital data system, 18 usable nurse staffing indicators were identified. There were four nurse staffing indicators: patient acuity from nursing intensity subgroup, diagnosis-related group volume from work environment subgroup, and skill mix and nurse turnover from nursing resources subgroup that explained the likelihood of nurse job satisfaction in the final model. The Bayesian networks also revealed the elusive non-linear relationship between nurse job satisfaction and patient acuity. CONCLUSION: Survey-based information on nurse job satisfaction can be modelled with data-based nurse staffing indicators. Nurse researchers could use the Bayesian approach to obtain information about the effects of nurse staffing on nursing outcomes.

Group psychoeducation for long-term offender patients with schizophrenia: an exploratory randomised controlled trial.

BACKGROUND: Psychoeducation is now commonly provided in forensic settings, but its effectiveness among long-term offender patients with schizophrenia has not yet been established in randomised controlled trials (RCTs). AIM: To test the effects of a brief group psychoeducation programme for offenders with schizophrenia (n = 39) resident in a high-security hospital (Niuvanniemi Hospital, Finland). METHOD: High-security hospital patients were randomised into either eight sessions of group psychoeducation or 'treatment as usual' (TAU). Outcome measures, made at baseline, immediately post-treatment, and 3 months after that, included knowledge about illness, insight, compliance, attitudes towards medication, psychiatric symptoms and ward behaviour, self-esteem, health-related quality of life and perceived stigma. RESULTS: Three months after completing treatment, or an equivalent time under TAU, patients in the intervention group showed a positive treatment effect in terms of knowledge about illness, self-esteem and insight into the illness. The only possible adverse effect was a slight increase in irritability, but this did not translate into behaviour of concern to staff. CONCLUSIONS: Our sample size was small, and the findings must be regarded as preliminary, but the positive treatment effect of psychoeducation, and the absence of alarming side effects, suggests a full scale trial would be worthwhile. Most encouraging was that even the most severely ill patients were able to join the groups.

How do individuals with alcohol problems use social and healthcare services in Finland? Comparison of service use patterns between two high-need patient groups.

Aims: Alcohol use disorders (AUDs) are associated with high risk of comorbidities and excess use of social and healthcare services. We examined health service use (HSU) frequencies of patients with AUD in comparison to those with type 2 diabetes mellitus (T2DM). Design: A random sample of individuals with AUD (n = 396) were identified based on ICD-10 codes and HSU patterns, morbidity and mortality were compared with age- and gender-matched T2DM controls (n = 792) using logistic regression analysis. Six years (2011-2016) of electronic health record (EHR) data from the North Karelia district in Finland were used. Results: Similarities in comorbidity patterns existed, although mental health comorbidity (odds ratio [OR] 1.86) was more prevalent in the AUD group. The average annual HSU varied according to the groups: T2DM patients had more continuous contact with public health nurses in primary care, whereas AUD patients were more likely to experience somatic specialised care hospitalisations (OR 11.30) and have frequent somatic primary healthcare doctor visits (OR 3.30) and frequent emergency room doctor visits in specialised care (OR 8.89). Furthermore, patients with AUD had a 7.5 times higher risk of death compared with T2DM patients. Conclusions: This study identified rather similar comorbidity status for the AUD and T2DM patients, but their HSU patterns differed noticeably. AUD patients had higher frequencies of hospitalisation periods and emergency service use and were at a higher risk of death compared with T2DM patients, indicating greater challenges in the organisation of care for AUD patients compared with those having T2DM.

A Bayesian network model to identify the associations between the use of seclusion in psychiatric care and nursing managers' attitudes towards containment methods.

WHAT IS KNOWN ON THE SUBJECT: Seclusion is used frequently in psychiatric care, despite its potential adverse effects. Several programmes aiming to reduce the use of seclusion identify leadership and management as key strategies-however, studies concerning leaders and managers are missing. WHAT THE PAPER ADDS TO EXISTING KNOWLEDGE: Nursing managers' negative attitudes towards seclusion are associated with less use of the measure, and nursing managers' higher age is associated with increased use of seclusion. WHAT ARE THE IMPLICATIONS FOR PRACTICE: Nursing managers should be encouraged to guide their staff to reduce the use of seclusion. The negative influences of seclusion and the potential of alternative measures should be highlighted in the education and training of psychiatric nursing managers. ABSTRACT: Introduction The use of seclusion in psychiatric care should be reduced. The relationship between nursing management or nursing managers' attitudes and the use of seclusion has not been investigated. Aim To describe the associations between the use of seclusion and psychiatric nursing managers' attitudes to containment methods. Method Register data concerning the use of seclusion in Finnish psychiatric care in 2017 were collected. The Attitudes to Containment Measures Questionnaire was used to illustrate psychiatric nursing managers' attitudes to containment methods. An Augmented Naive Bayes analysis was used to investigate the relationships of the use of seclusion and attitudes. Results Nursing managers' age and their attitudes towards containment methods were related to the use of seclusion. Especially nursing managers' negative perceptions of seclusion were associated with less use of seclusion, and seclusion was used more often on wards with nursing managers who were older than the average. Conclusion Nursing managers' negative attitudes towards seclusion have a potential impact on the use of seclusion, which might even result in a reduction in its use in psychiatric inpatient setting. Implications for practice The results suggest that nursing managers should be encouraged to guide their staff to decrease the use of seclusion.

Insulin like growth factor-I in acute subarachnoid hemorrhage: a prospective cohort study.

INTRODUCTION: Neuroendocrine deficiencies may affect recovery after aneurysmal subarachnoid hemorrhage (aSAH). Insulin like growth factor-I (IGF-I) regulates neuronal growth and apoptosis in ischemic stroke. Our study was designed to a) characterize the behavior of serum IGF-I and growth hormone (GH) in the acute and late phases after aSAH reflecting possible pituitary gland function and b) evaluate the association between IGF-I and morbidity assessed by Glasgow outcome scale (GOS) and health related quality of life (HRQoL) in patients with aSAH. METHODS: In this prospective cohort study, patients with aSAH (n = 30) were compared to patients who underwent elective aneurysm surgery (n = 16). Serum GH and IGF-I concentrations were measured daily for five (controls) or seven (aSAH) days and at three months. GOS and 15d HRQoL was measured at three months. A mixed models method was used for testing between the groups. For factors possibly affecting HRQoL in aSAH patients, we constructed a Bayesian predicting model using a P-course Bayesian classifier. RESULTS: The mean IGF-I concentrations for days one to five were 8.1 +/- 3.5 nmol/l in patients with aSAH and 11.2 +/- 3.1 in the control group (P = 0.01). No corresponding difference was found at three months. Serum GH concentrations were similar in both patient groups. Severity of the aSAH did not affect serum IGF-I concentrations. Patients with GOS

Risk factors for persistent frequent use of the primary health care services among frequent attenders: a Bayesian approach.

OBJECTIVES: The aim of this study was to examine risk factors that predict persistent healthcare frequent attendance among a frequent attender (FA) population. DESIGN: Prospective cohort study without intervention. SETTING: Primary healthcare centre in Tampere, Finland. SUBJECTS: A total of 85 primary healthcare working-age patients participated in the study. All participants were FAs in the first study year. MAIN OUTCOME MEASURES: We identified two groups of patients: temporary FAs and persistent FAs. A patient was considered as a persistent FA if he or she visited the health centre at least eight times a year for at least three out of four follow-up years. Some 59 different variables were examined as potential risk factors for persistent FA. P-course, a web-based Naïve Bayesian classification tool, was used for the modelling of the data. RESULTS: In our model, the most influential predictive risk factors for persistent frequent attendance in an FA population were female gender, body mass index above 30, former frequent attendance, fear of death, alcohol abstinence, low patient satisfaction, and irritable bowel syndrome. New observations were high body mass index, alcohol abstinence, irritable bowel syndrome, low patient satisfaction, and fear of death. CONCLUSIONS: In FA analyses, distinction between temporary and persistent frequent attendance should be made. Our Bayesian model could be used for identifying persistent FAs in uncertain situations. The model can quite easily be further developed as a practical decision support tool for general practitioners. However, before its use in practice, the external validity of the model will need to be defined.

Do the Costs of AUD-Related Health and Social Care Services Vary Across Patient Profiles?

OBJECTIVE: Alcohol use disorders (AUDs) are associated with high social and health care costs. We compare the direct social and health care costs of patients with AUDs, according to four service use profiles: (a) AUD treatment, (b) mental health (MH) treatment, (c) AUD + MH treatment, (d) no treatment. A separate analysis of the costliest 10% is included. Furthermore, the association between the service user profile and the risk of death is examined. METHOD: Direct unit service costs were retrieved from the electronic health record system and supplemented with patient grouping-based costs for primary and secondary care services, to examine the yearly mean cost per patient in the AUD cohort (N = 5,136; 71.1% male). We used data collected in the North Karelia region of Finland between 2014 and 2018. RESULTS: Total costs of care for the cohort during the 5-year follow-up were 126 million Euros, and the percentage of the costliest 10% (n = 521) was 51.7% (65 million Euros). Total costs were 12,778 Euros lower if the person received AUD treatment only, compared with those not in treatment. For those receiving MH treatment only, the total costs were 1,819 Euros higher, and costs were 1,523 Euros higher for those receiving AUD + MH treatment. Receiving any treatment was associated with a diminished risk of death (AUD: odds ratio [OR] = 0.56; MH: OR = 0.63; AUD + MH: OR = 0.41). CONCLUSIONS: Receiving only AUD treatment was associated with the lowest cost of care. Our results support the early identification of AUDs and provision of treatment in specialized addiction services to lower the costs of care and improve care outcomes.

Factors Associated with 5-Year Costs of Care among a Cohort of Alcohol Use Disorder Patients: A Bayesian Network Model.

OBJECTIVES: To examine the direct effects of risk factors associated with the 5-year costs of care in persons with alcohol use disorder (AUD) and to examine whether remission decreases the costs of care. METHODS: Based on Electronic Health Record data collected in the North Karelia region in Finland from 2012 to 2016, we built a non-causal augmented naïve Bayesian (ANB) network model to examine the directional relationship between 16 risk factors and the costs of care for a random cohort of 363 AUD patients. Jouffe's proprietary likelihood matching algorithm and van der Weele's disjunctive confounder criteria (DCC) were used to calculate the direct effects of the variables, and sensitivity analysis with tornado diagrams and analysis maximizing/minimizing the total cost of care were conducted. RESULTS: The highest direct effect on the total cost of care was observed for a number of chronic conditions, indicating on average more than a €26,000 increase in the 5-year mean cost for individuals with multiple ICD-10 diagnoses compared to individuals with less than two chronic conditions. Remission had a decreasing effect on the total cost accumulation during the 5-year follow-up period; the percentage of the lowest cost quartile (42.9% vs. 23.9%) increased among remitters, and that of the highest cost quartile (10.71% vs. 26.27%) decreased compared with current drinkers. CONCLUSIONS: The ANB model with application of DCC identified that remission has a favorable causal effect on the total cost accumulation. A high number of chronic conditions was the main contributor to excess cost of care, indicating that comorbidity is an essential mediator of cost accumulation in AUD patients.

Costs and quality of life effects of the first year of renal replacement therapy in one Finnish treatment centre.

OBJECTIVE: The main objective of the study was to assess the cost and quality of life (QoL) effects of elective dialysis patients during the first year of end-stage renal disease (ESRD) treatment in one Finnish treatment centre. METHODS: A prospective case-series study was performed involving all elective dialysis patients (n=29) in a Finnish dialysis unit during 2003-2004. Direct costs of ESRD treatment were obtained from the hospital database and the Social Insurance Institution. The QoL effects were measured at the initiation of treatment, at 6 and at 12 months using 15D, a generic QoL instrument. RESULTS: The average cost of ESRD treatment was 69,085 euro. The improvement in the patients' QoL score was statistically and clinically significant during the first treatment year. The most significant changes were seen in the dimensions of breathing and vitality. The condition of patients commencing haemodialysis (HD) was more severe than that of patients commencing peritoneal dialysis (PD) as indicated by worse residual kidney function and poorer quality of life at the initiation. CONCLUSIONS: In this small patient population, treatment of ESRD during the first year seemed to improve or maintain the QoL of the patients.

Predicting hospital associated disability from imbalanced data using supervised learning.

Hospitalization of elderly patients can lead to serious adverse effects on their functional capability. Identifying the underlying factors leading to such adverse effects is an active area of medical research. The purpose of the current paper is to show the potential of artificial intelligence in the form of machine learning to complement the existing medical research. This is accomplished by studying the outcome of hospitalization of elderly patients as a supervised learning task. A rich set of features characterizing the medical and social situation of elderly patients is leveraged and using confusion matrices, association rule mining, and two different classes of supervised learning algorithms, it is shown that the need for help and supervision are the most important features predicting whether these patients will return home after hospitalization. Such findings can help to improve hospitalization and rehabilitation of elderly patients.

Attitudes of Nurses and the General Public Towards Euthanasia on Individuals with Dementia and Cognitive Impairment.

OBJECTIVES: Despite the increasing prevalence of dementia, little is known about individuals' attitudes towards euthanasia on patients with dementia or cognitive impairment. METHODS: Nurses (n = 1003) and representatives of the general public (n = 2796), recruited via social media and the Finnish Nurses Association, completed an electronic questionnaire in 2014. RESULTS: Euthanasia due to severe dementia was approved by 54.6% of nurses and 64.4% of the general public. Depending on the age of the patient, between 50.0% and 54.7% of nurses and between 58.3% and 60.9% of the general public supported euthanasia on patients with severe cognitive impairment. DISCUSSION: The attitudes towards euthanasia due to dementia or cognitive impairment are slightly more accepting among the general public than among nurses. Apart from religiosity, none of the background factors were found to be reliable predictors of individuals' attitudes. Additional research is needed to describe the underlying reasons for the attitudes.

Care outcomes and alcohol-related treatment utilisation profiles of patients with alcohol-use disorder: A prospective cohort study using electronic health records.

BACKGROUND: We examined the probabilities of longitudinal care outcomes of working-aged patients with alcohol-use disorder (AUD) and their alcohol-related treatment utilisation patterns across the healthcare services, by using linked electronic health records. METHODS: A random sample (n = 396) of patients with alcohol-related visits to healthcare services in 2011-2012 was collected retrospectively from the electronic health record data in the North Karelia region of Finland and followed prospectively in time until the end of 2016. Data on care outcomes and alcohol-related healthcare use were gathered from the electronic health records. Three outcome groups were identified: (1) dead, (2) present AUD, and (3) remission. Group differences in alcohol-related health service use were compared. RESULTS: At the end of the follow-up period, an increased mortality rate of 22.9% was observed, and 18.4% had achieved stable remission, while for the majority (56%), the AUD remained. Most of those in remission had contact with either specialised AUD services or mental health services. Conversely, the majority of those who had died had no contact with specialised AUD services during the follow-up period. CONCLUSIONS: The electronic-health-record-based register analysis captured mainly individuals with advanced forms of AUD. An excess mortality rate and other negative health consequences were observed. Training providers to identify and treat earlier the less severe forms of AUD could have major benefit to patients and also reduce health system costs.