Tackling social inequalities in health: Assessing contexts for implementing integrated health access for people with severe mental illness.

Social inequalities in health are a complex problem that often emerge at the interfaces between different sectors, such as health and social care, and the corresponding transitions between different provider organisations. Vulnerable people are typically in greater need of accessing different sectors of the health system and therefore often experience lack of coherence in their treatment pathway. We aimed to examine the contexts of health systems that influence initiatives concerned with integrated health access. We used the theory of Organizational Fields to study the contexts for implementing Flexible Assertive Community Treatment (FACT) in Central Denmark Region and three municipalities in the region. We collected 33 documents and conducted six qualitative interviews with professionals involved in FACT to understand the contexts of implementing integrated health access. We found that contexts for implementing FACT are highly complex, as they are divided between health and social care (horizontal complexity) and between national and the sub-national levels of the region and the municipalities (vertical complexity). This leads to conflicting demands on implementation. Local contexts of collaboration may offer a lever to handle these demands, but these are likely to vary. Analysis of how complex health system contexts influence implementation is important to understand how changes might become sustainable and help to tackle social inequalities in health.

Evaluating dynamic patterns in mortality before and after reconfiguration of the Danish emergency healthcare system.

BACKGROUND: This study explored changes in short-term mortality during a national reconfiguration of emergency care starting in 2007. METHODS: Unplanned hospital contacts at emergency departments across Denmark from 2007 to 2016. The reconfiguration was a natural experiment, resulting in individual timelines for each hospital. The outcome was in-hospital and 30-day mortality. RESULTS: Individual patient-level data included 9,745,603 unplanned hospital contacts from 2007 to 2016 at 20 hospitals with emergency departments. We observed a sharp downwards shift in in-hospital mortality and 30-day mortality in three hospitals in relation to the reconfiguration. CONCLUSION: This nationwide study identified three hospitals where the reconfiguration was closely associated with reduced in-hospital and 30-day mortality. In contrast, no major effects were identified for the remaining hospitals.

Centralization of emergency hospital care is not associated with increased in-hospital mortality; a population-based cohort study.

BACKGROUND: We describe changes in the distance travelled, the utilization of emergency services, and the inhospital mortality before and after the centralization of hospital emergency services in Denmark. METHODS: All unplanned non-psychiatric hospital contacts from adults (aged ≥18 years) in 2008 and 2016 are included. Analyses are age-standardized and conducted at a municipality level. The municipalities are divided into groups according to the presence of emergency hospital services. RESULTS: Municipalities where hospitals with emergency services have been closed differed by having the most significant increase in distance travelled from 2008 to 2016. All groups experienced a reduction in overall in-hospital mortality. The reduction in mortality was not present for acute myocardial infarct contacts from municipalities where hospitals with emergency services have been closed. CONCLUSION: Our data do not suggest that hospital closures, and thereby increased travel distance, have contributed significantly as a barrier to emergency-care access and changes to in-hospital mortality.

Prevention of AcuTe admIssioN algorithm (PATINA): study protocol of a stepped wedge randomized controlled trial.

BACKGROUND: The challenges imposed by ageing populations will confront health care systems in the years to come. Hospital owners are concerned about the increasing number of acute admissions of older citizens and preventive measures such as integrated care models have been introduced in primary care. Yet, acute admission can be appropriate and lifesaving, but may also in itself lead to adverse health outcome, such as patient anxiety, functional loss and hospital-acquired infections. Timely identification of older citizens at increased risk of acute admission is therefore needed. We present the protocol for the PATINA study, which aims at assessing the effect of the 'PATINA algorithm and decision support tool', designed to alert community nurses of older citizens showing subtle signs of declining health and at increased risk of acute admission. This paper describes the methods, design and intervention of the study. METHODS: We use a stepped-wedge cluster randomized controlled trial (SW-RCT). The PATINA algorithm and decision support tool will be implemented in 20 individual area home care teams across three Danish municipalities (Kerteminde, Odense and Svendborg). The study population includes all home care receiving community-dwelling citizens aged 65 years and above (around 6500 citizens). An algorithm based on home care use triggers an alert based on relative increase in home care use. Community nurses will use the decision support tool to systematically assess health related changes for citizens with increased risk of acute hospital admission. The primary outcome is acute admission. Secondary outcomes are readmissions, preventable admissions, death, and costs of health care utilization. Barriers and facilitators for community nurse's acceptance and use of the algorithm will be explored too. DISCUSSION: This 'PATINA algorithm and decision support tool' is expected to positively influence the care for older community-dwelling citizens, by improving nurses' awareness of citizens at increased risk, and by supporting their clinical decision-making. This may increase preventive measures in primary care and reduce use of secondary health care. Further, the study will increase our knowledge of barriers and facilitators to implementing algorithms and decision support in a community care setup. TRIAL REGISTRATION: ClinicalTrials.gov , identifier: NCT04398797 . Registered 13 May 2020.

Intended and unintended changes in length of stay following reconfiguration of emergency care departments.

BACKGROUND: The Danish health-care system has witnessed noticeable changes in the acute hospital care organization. The reconfiguration includes closing hospitals, centralizing acute care functions and investing in new buildings and equipment. OBJECTIVE: To examine the impact on the length of stay (LOS) and the proportion of overnight stays for hospitalized acute care patients. METHODS: This nationwide interrupted time series examined trend changes in LOS and overnight stay. Admissions were stratified based on admission time (weekdays/weekends and time of day), age and the level of co-morbidity. RESULTS: In 2007-2016, the global average LOS declined 2.9% per year (adjusted time ratio [CI (confidence interval) 95%] 0.971 [0.970-0.971]). The reconfiguration was overall not associated with change in trend of LOS (time ratio [CI 95%] 1.001 [1.000-1.002]). When admissions were stratified for either weekdays or weekends, the reconfiguration was associated with reduction of the underlying downward trend for weekdays (time ratio [CI 95%] 1.004 [1.003-1.005]) and increased downward trend for weekend admissions (time ratio [CI 95%] 0.996 [0.094-0.098]). Admissions at night were associated with a 0.7% trend change in LOS (time ratio [CI 95%] 0.993 [0.991-0.996]). The reconfiguration was not associated with trend changes for overnight stays. CONCLUSION: The nationwide reconfiguration of acute hospital care was overall not associated with change in trend for the registered LOS and no change in trend for overnight stays. However, the results varied according to hospitalization time, where admissions during weekends and nights after the reconfiguration were associated with shortened LOS.

Point-of-Care Phalangeal Bone Mineral Density Measurement Can Reduce the Need of Dual-Energy X-Ray Absorptiometry Scanning in Danish Women at Risk of Fracture.

Identifying persons with a high risk of osteoporotic fractures remains a challenge. DXA uptake in women with elevated risk of osteoporosis seems to be depending on distance to scanning facilities. This study aimed to investigate the ability of a small portable scanner in identifying women with reduced bone mineral density (BMD), and to define triage thresholds for pre-selection. Total hip and lumbar spine BMD was measured by dual-energy X-ray absorptiometry and phalangeal BMD by radiographic absorptiometry in 121 Danish women with intermediate or high 10-year fracture probability (aged 61-81 years). Correlation between the two methods was estimated using correlation coefficient (r) and Bland-Altman plots. A moderate correlation between phalangeal BMD versus total hip (r = 0.47) and lumbar spine (r = 0.51), and an AUC on 0.80 was found. The mean difference between phalangeal T score and total hip T score/lumbar spine T score was low, and ranged from -0.26 SD to -0.31 SD depending on site and reference database used for calculation of T scores, but, large variation was seen at an individual level. When applying a triage approach approx. one-third of all DXA scan could be avoided and only 6 % of women in the low-risk group would be false negatives.

The risk-stratified osteoporosis strategy evaluation study (ROSE): a randomized prospective population-based study. Design and baseline characteristics.

The risk-stratified osteoporosis strategy evaluation study (ROSE) is a randomized prospective population-based study investigating the effectiveness of a two-step screening program for osteoporosis in women. This paper reports the study design and baseline characteristics of the study population. 35,000 women aged 65-80 years were selected at random from the population in the Region of Southern Denmark and-before inclusion-randomized to either a screening group or a control group. As first step, a self-administered questionnaire regarding risk factors for osteoporosis based on FRAX(®) was issued to both groups. As second step, subjects in the screening group with a 10-year probability of major osteoporotic fractures ≥15% were offered a DXA scan. Patients diagnosed with osteoporosis from the DXA scan were advised to see their GP and discuss pharmaceutical treatment according to Danish National guidelines. The primary outcome is incident clinical fractures as evaluated through annual follow-up using the Danish National Patient Registry. The secondary outcomes are cost-effectiveness, participation rate, and patient preferences. 20,904 (60%) women participated and included in the baseline analyses (10,411 in screening and 10,949 in control group). The mean age was 71 years. As expected by randomization, the screening and control groups had similar baseline characteristics. Screening for osteoporosis is at present not evidence based according to the WHO screening criteria. The ROSE study is expected to provide knowledge of the effectiveness of a screening strategy that may be implemented in health care systems to prevent fractures.

Patient preferences for treatment of low back pain-a discrete choice experiment.

BACKGROUND: Back pain imposes a substantial economic and social burden, and treatment decisions are distorted by conflicting evidence. Thus, it is important to include patient preferences in decision making and policy making. OBJECTIVE: To contribute to the understanding of patient preferences in relation to the choice of treatment for low back pain. METHODS: A discrete choice experiment was conducted with consecutive patients referred to a regional spine center. The respondents (n = 348) were invited to respond to a choice of two hypothetical treatment options and an opt-out option. The treatment attributes included the treatment modality, the risk of relapse, the reduction in pain, and the expected increase in the ability to perform activities of daily living. In addition, the wait time to achieve the treatment effect was used as a payment vehicle. Mixed logit models were created to perform analysis. Subgroup analysis, dividing respondents into sociodemographic and disease-related categories, further explored the willingness to wait. RESULTS: Respondents assigned positive utilities to positive treatment outcomes and disutility to higher risks and longer waits for effects of treatment and to surgical interventions. The model captured significant heterogeneity within the sample for the outcomes of pain reduction and the ability to pursue activities of daily living and for the treatment modality. The subgroup analysis revealed differences in the willingness to wait, especially with regard to treatment modality, the level of pain experienced at the time of data collection, and the respondents' preferences for surgery. CONCLUSIONS: The majority of the respondents prefer nonsurgical interventions, but patients are willing to wait for more ideal outcomes and preferred interventions. The results show that health care professionals have a very important task in communicating clearly about the expected results of treatment and the basis of their treatment decisions, as patients' preferences are highly individual.

Fracture risk prediction using phalangeal bone mineral density or FRAX(®)?-A Danish cohort study on men and women.

In this prospective study, we investigated the ability of Fracture Risk Assessment Tool (FRAX), phalangeal bone mineral density (BMD), and age alone to predict fractures using data from a Danish cohort study, Danish Health Examination Survey 2007-2008, including men (n = 5206) and women (n = 7552) aged 40-90 yr. Data were collected using a self-administered questionnaire and by phalangeal BMD measurement. Information on incident and prevalent fractures, rheumatoid arthritis, and secondary osteoporosis was retrieved from the Danish National Patient Registry. Survival analyses were used to examine the association between low, intermediate, and high risk by phalangeal T-score or FRAX and incident fractures, and receiver operating characteristic curves were obtained. Mean follow-up time was 4.3 yr, and a total of 395 persons (3.1%) experienced a fracture during follow-up. The highest rate of major osteoporotic fractures was observed in persons with a high combined risk (FRAX ≥20% and T-score ≤-2.5; women: 32.7 and men: 27.6 per 1000 person-yr). This group also had the highest risk of hip fractures (women: 8.1 and men: 7.2 per 1000 person-yr). FRAX and T-score in combination analyzed as continuous variables performed overall best in the prediction of major osteoporotic fractures. In predicting hip fractures, there was a tendency of T-score performing worse than the other methods.

Ten-year follow-up of fracture risk in a systematic population-based screening program: the risk-stratified osteoporosis strategy evaluation (ROSE) randomised trial.

Background: Osteoporotic fractures pose a growing public health concern. Osteoporosis is underdiagnosed and undertreated, highlighting the necessity of systematic screening programs. We aimed to evaluate the effectiveness of a two-step population-based osteoporotic screening program. Methods: This ten-year follow-up of the Risk-stratified Osteoporosis Strategy Evaluation (ROSE) randomized trial tested the effectiveness of a screening program utilizing the Fracture Risk Assessment Tool (FRAX) for major osteoporotic fractures (MOF) to select women for dual-energy x-ray absorptiometry (DXA) scan following standard osteoporosis treatment. Women residing in the Region of Southern Denmark, aged 65-80, were randomised (single masked) into a screening or a control group by a computer program prior to inclusion and subsequently approached with a mailed questionnaire. Based on the questionnaire data, women in the screening group with a FRAX value ≥15% were invited for DXA scanning. The primary outcome was MOF derived from nationwide registers. ClinicalTrials.gov: NCT01388244, status: Completed. Findings: All randomised women were included February 4, 2010-January 8, 2011, the same day as approached to participate. During follow-up, 7355 MOFs were observed. No differences in incidences of MOF were identified, comparing the 17,072 women in the screening group with the 17,157 controls in the intention-to-treat analysis (IRR 1.01, 0.95; 1.06). However, per-protocol, women DXA-scanned exhibited a 14% lower incidence of MOF (IRR 0.86, 0.78; 0.94) than controls with a FRAX value ≥15%. Similar trends were observed for hip fractures, all fractures, and mortality. Interpretation: While the ROSE program had no overall effect on osteoporotic fracture incidence or mortality it showed a preventive effect for women at moderate to high risk who underwent DXA scans. Hence the overall effect might have been diluted by those who were not at an intervention level threshold risk or those who did not show up for DXA. Using self-administered questionnaires as screening tools may be inefficient for systematic screening due to the low and differential screening uptake. Funding: INTERREG and the Region of Southern Denmark.

Mortality before and after reconfiguration of the Danish hospital-based emergency healthcare system: a nationwide interrupted time series analysis.

OBJECTIVES: The study aimed to investigate how the 'natural experiment' of reconfiguring the emergency healthcare system in Denmark affected in-hospital and 30-day mortality on a national level. The reconfiguration included the centralisation of hospitals and the establishment of emergency departments with specialists present around the clock. DESIGN: Hospital-based cohort study. SETTING: All public hospitals in Denmark. PARTICIPANTS: Patients with an unplanned contact from 1 January 2007 until 31 December 2016. INTERVENTIONS: Stepped-wedge reconfiguration of the Danish emergency healthcare system. MAIN OUTCOME MEASURES: We determined the adjusted ORs for in-hospital mortality and HRs for 30-day mortality using logistic and Cox regression analysis adjusted for sex, age, Charlson Comorbidity Index, income, education, mandatory referral and the changes in the out of hours system in the Capital Region. The main outcomes were stratified by the time of arrival. We performed subgroup analyses on selected diagnoses: myocardial infarction, stroke, pneumonia, aortic aneurysm, bowel perforation, hip fracture and major trauma. RESULTS: We included 11 367 655 unplanned hospital contacts. The adjusted OR for overall in-hospital mortality after reconfiguration of the emergency healthcare system was 0.998 (95% CI 0.968 to 1.010; p=0.285), and the adjusted OR for 30-day mortality was 1.004 (95% CI 1.000 to 1.008; p=0.045)). Subgroup analyses showed some possible benefits of the reconfiguration such as a reduction in-hospital and 30-day mortality for myocardial infarction, stroke, aortic aneurysm and major trauma. CONCLUSIONS: The Danish emergency care reconfiguration programme was not associated with an improvement in overall in-hospital mortality trends and was associated with a slight slowing of prior improvements in 30-day mortality trends.

Conceptual framework for acute community health care services - Illustrated by assessing the development of services in Denmark.

Acute community health care services can support continuity of care by acting as a bridge between the primary and secondary health care sectors in the early detection of acute disease and provision of treatment and care. Although acute community health care services are a political priority in many countries, the literature on their organization and effect is limited. We present a conceptual framework for describing acute community health care services that can be used to support the policies and guidelines for such services. For illustrative purposes, we apply the framework to the Danish acute community health care services using implementation data from 2020 and identify gaps and opportunities for learning. The framework identifies two key pairs of dimensions: (1) capacity & capability, and (2) coordination & collaboration. These dimensions, together with the governance structure and quality assurance initiatives, are of key importance to the effect of acute community health care services. While all Danish municipalities have implemented acute community health care services, application of the framework indicates considerable variation in their approaches. The conceptual framework provides a systematic approach supporting the development, implementation, evaluation, and monitoring of acute community health care services and can assist policymakers at both national and local levels in this work.

Readmission trends before and after a national reconfiguration of emergency departments in Denmark.

OBJECTIVE: In order to achieve better and more efficient emergency health care, the Danish public hospital system has been reconfigured, with hospital emergency care being centralised into extensive and specialised emergency departments. This article examines how this reconfiguration has affected patient readmission rates. METHODS: We included all unplanned hospital admissions (aged ≥18 years) at public, non-psychiatric hospitals in four geographical regions in Denmark between 1 January 2007 and 24 December 2017. Using an interrupted time-series design, we examined trend changes in the readmission rates. In addition to analysing the overall effect, analyses stratified according to admission time of day and weekdays/weekends were conducted. The analyses were adjusted for patient characteristics and other system changes. RESULTS: The seven-day readmission rate increased from 2.6% in 2007 to 3.8% in 2017, and the 30-day rate increased from 8.1% to 11.5%. However, the rates were less than what they would have been had the reconfiguration not been introduced. The reconfiguration reduced the seven-day readmission rate by 1.4% annually (hazard ratio [CI 95%] 0.986 [0.981-0.991]) and the 30-day rate by 1% annually (hazard ratio [CI 95%] 0.99 [0.987-0.993]). CONCLUSIONS: Reconfiguration reduced the rate of increase in readmissions, but nevertheless readmissions still increased across the study period. It seems hospitals and policymakers will need to identify further ways to reduce patient loads.

Utilisation and time to performance of diagnostic imaging in patients admitted to Danish emergency departments: a nationwide register-based study from 2007 to 2017.

OBJECTIVES: To describe the development of diagnostic imaging utilisation in Denmark from 2007 to 2017, coinciding with a major national reform of the emergency healthcare system. DESIGN: Nationwide descriptive register-based study. SETTING: All public hospitals in Denmark. PARTICIPANTS: All unplanned hospital contacts ≥18 years old at somatic hospitals in Denmark from 1 January 2007 to 31 December 2017. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome measure was the probability of having CT, X-ray, MRI or ultrasound performed during hospitalisation in 2017 compared with 2007. The secondary outcome measure was receiving diagnostic imaging within 4 hours of hospitalisation. RESULTS: The probability of having a radiological examination during unplanned hospital admission increased from 2007 to 2017 (CT: 3.5%-10.3%; MRI: 0.2%-0.8%; ultrasound: 2.3%-4.5%; X-ray: 23.8%-26.8%). For CT scan, the adjusted OR was 3.09 (95% CI: 2.73, 3.51); for MRI, the adjusted OR was 3.39 (95% CI: 1.87, 6.12) and for ultrasound, the adjusted OR was 1.93 (95% CI: 1.56, 2.38). The likelihood of having the examination within the first 4 hours in the hospital increased from 2007 to 2017. For X-ray, the adjusted OR was 1.39 (95% CI: 1.07, 1.56); for CT scan, the adjusted OR was 1.35 (95% CI: 1.16, 1.59); for MRI, the adjusted OR was 1.34 (95% CI: 1.09, 1.66) and for ultrasound, the adjusted OR was 1.38 (95% CI: 1.16, 1.64). CONCLUSION: This nationwide study describes the development of diagnostic imaging utilisation in Denmark from 2007 to 2017. The probability of receiving radiological examinations during unplanned hospitalisation increased over this period, and the time from hospital contact to performance decreased. This supports the notion that enhancement in radiological equipment will also lead to more frequent and faster utilisation.

Structured decision support to prevent hospitalisations of community-dwelling older adults in Denmark (PATINA): an open-label, stepped-wedge, cluster-randomised controlled trial.

BACKGROUND: Ageing populations and health-care staff shortages encourage efforts in primary care to recognise and prevent health deterioration and acute hospitalisation in community-dwelling older adults. The PATINA algorithm and decision-support tool alerts home-based-care nurses to older adults at risk of hospitalisation. The study aim was to test whether use of the PATINA tool was associated with changes in health-care use. METHODS: An open-label, stepped-wedge, cluster-randomised controlled trial was done in three Danish municipalities, covering 20 area teams providing home-based care to around 7000 recipients. During a period of 12 months, area teams were randomly assigned to an intervention crossover for older adults (aged 65 years or older) who received care at home. The primary outcome was hospitalisation within 30 days of identification by the algorithm as being at risk of hospitalisation. Secondary outcomes were hospital readmission and other hospital contacts, outpatient contacts, contact with primary care physicians (PCPs), temporary care, and death, within 30 days of identification. This study was registered at ClinicalTrials.gov (NTC04398797). FINDINGS: In total, 2464 older adults participated in the study: 1216 (49·4%) in the control phase and 1248 (50·6%) in the intervention phase. In the control phase, 102 individuals were hospitalised within 30 days during 33 943 days of risk (incidence 0·09 per 30 days), compared with 118 individuals within 34 843 days of risk (0·10 per 30 days) during the intervention phase. The intervention was not associated with a reduction in the number of first hospitalisations within 30 days (incidence rate ratio [IRR] 1·10 [90% CI 0·90-1·40]; p=0·28). Furthermore it was not associated with reduced rates of other hospital contacts (IRR 1·10 [95% CI 0·90-1·40]; p=0·28), outpatient contacts (1·10 [0·88-1·40]; p=0·42), or mortality (0·82 [0·58-1·20]; p=0·25). The intervention was associated with a 59% reduction in readmissions within 30 days of hospital discharge (IRR 0·41 [95% CI 0·24-0·68]; p=0·0007), a 140% increase in contacts with PCPs (2·40 [1·18-3·20]; p<0·0001), and a 150% increase in use of temporary care (2·50 [1·40-4·70]; p=0·0027). INTERPRETATION: Despite having no effect on the primary outcome, the PATINA tool showed other benefits for older adults receiving home-based care. Such algorithms have the potential to shift health-care use from secondary to primary care but need to be tested in other home-based care settings. Implementation of algorithms in clinical practice should be informed by analysis of cost-effectiveness and potential harms as well as the benefits. FUNDING: Innovation Fund Denmark and Region of Southern Denmark. TRANSLATIONS: For the Danish, French and German translations of the abstract see Supplementary Materials section.

A model for assessment of telemedicine applications: mast.

OBJECTIVES: Telemedicine applications could potentially solve many of the challenges faced by the healthcare sectors in Europe. However, a framework for assessment of these technologies is need by decision makers to assist them in choosing the most efficient and cost-effective technologies. Therefore in 2009 the European Commission initiated the development of a framework for assessing telemedicine applications, based on the users' need for information for decision making. This article presents the Model for ASsessment of Telemedicine applications (MAST) developed in this study. METHODS: MAST was developed through workshops with users and stakeholders of telemedicine. RESULTS: Based on the workshops and using the EUnetHTA Core HTA Model as a starting point a three-element model was developed, including: (i) preceding considerations, (ii) multidisciplinary assessment, and (iii) transferability assessment. In the multidisciplinary assessment, the outcomes of telemedicine applications comprise seven domains, based on the domains in the EUnetHTA model. CONCLUSIONS: MAST provides a structure for future assessment of telemedicine applications. MAST will be tested during 2010-13 in twenty studies of telemedicine applications in nine European countries in the EC project Renewing Health.

Can the municipalities prevent medication of mental diseases?

BACKGROUND: In extension of a large municipality reform in 2007, which reduced the number of Danish municipalities from 275 to 98, it was the intention that the municipalities should assume responsibility for a part of the expenditure connected to secondary sector health care treatment. Furthermore, the municipalities were assigned the responsibility for--and equipped with a number of opportunities for--exerting primary preventive initiatives. AIM OF THE STUDY: To investigate, whether the municipalities by applying these opportunities have been able to prevent medication of mental diseases. Specifically, this is resolved by analysing whether there are significant relationships between measures of municipal policy opportunities and the proportion of population medicated for mental diseases. METHODS: We apply a variety of statistical regression models. Initially, simple linear regression is applied. Next, a Seemingly Unrelated Regression approach, which accounts for intra-municipal behavioural correlation, is brought in play. Finally, this approach is extended to regressions which are adjusted for spatial spillover effects. RESULTS: The initial simple linear specification indicates a potential significant relationship between municipal policy opportunities and medication. However, when applying a specification which is adjusted for intra-municipal correlation, this relationship vanishes. Finally, there seem to be indications of spatial spillover effects. Thus, the relationship between municipal preventive initiatives and medication seems to be a structural, intra-municipal relationship, rather than a cause-response effect. IMPLICATIONS FOR HEALTH POLICIES: Our results show that potential linkages between municipal preventive initiatives and medication for mental diseases are not of a simple nature. Specifically, sophisticated and targeted interventions are needed rather than broad and general public health initiatives. IMPLICATIONS FOR FURTHER RESEARCH: Though the approach is promising, the data underlying the study is at present relatively weak. Future studies should involve more variables as well as longer times series in order to obtain proper understandings of the potential linkages between municipal policy efforts and medication.

Does the number of choice sets matter? Results from a web survey applying a discrete choice experiment.

Optimising the design of discrete choice experiments (DCE) involves maximising not only the statistical efficiency, but also how the nature and complexity of the experiment itself affects model parameters and variance. The present paper contributes by investigating the impact of the number of DCE choice sets presented to each respondent on response rate, self-reported choice certainty, perceived choice difficulty, willingness-to-pay (WTP) estimates, and response variance. A sample of 1053 respondents was exposed to 5, 9 or 17 choice sets in a DCE eliciting preferences for dental services. Our results showed no differences in response rates and no systematic differences in the respondents' self-reported perception of the uncertainty of their DCE answers. There were some differences in WTP estimates suggesting that estimated preferences are to some extent context-dependent, but no differences in standard deviations for WTP estimates or goodness-of-fit statistics. Respondents exposed to 17 choice sets had somewhat higher response variance compared to those exposed to 5 choice sets, indicating that cognitive burden may increase with the number of choice sets beyond a certain threshold. Overall, our results suggest that respondents are capable of managing multiple choice sets - in this case 17 choice sets - without problems.

Do guidelines recommending pharmacogenetic testing of psychiatric patients affect treatment costs and the use of healthcare services?

AIM: To identify the effects of local recommendations of pharmacogenetic testing in psychiatry with respect to treatment costs. METHODS: Based on Danish patient registers, individual treatment costs within a 365-day period at three psychiatric hospitals recommending and using pharmacogenetic testing is compared retrospectively with treatment costs at other Danish psychiatric hospitals using alternate treatment strategies. Primary outcome of interest is total direct costs analyzed by multilevel modelling. Secondary outcome measures are healthcare consumption within specific sectors analyzed by Tobitregressions. RESULTS: Costs among patients treated at hospitals recommending and using pharmacogenetic testing were not found to be statistically significantly different from costs among patients treated at sites using alternate treatment strategies. In spite of recommendations to test all patients the uptake of the test was, however, low (26-31 %). Treatment practice using routine therapeutic drug monitoring (in Ãrhus) shows a trend towards lower costs. CONCLUSIONS: Based on this natural experiment we were not able to document statistically significant differences in total costs between treatment sites that had guidelines recommending pharmacogenetic testing, relative to sites without such guidelines, over a period of one year. However, guidelines of pharmacogenetic testing and possibly also therapeutic drug monitoring seem to lead to reductions in costs for primary care services. In the case of the former, reductions do, however, seem to be outweighed by increases in costs for psychiatric and non-psychiatric inpatient stays. In conclusion, no statistically significant differences in total direct costs across sites with different treatment strategies were found.

Fracture risk assessed by Fracture Risk Assessment Tool (FRAX) compared with fracture risk derived from population fracture rates.

PURPOSE: To evaluate the performance of the Swedish version of Fracture Risk Assessment Tool (FRAX)) without bone mass density (BMD) in a Danish population to examine the possibility of applying this version to Danish women. METHODS: From the Danish National Register of social security numbers, we randomly selected 5000 women living in the region of Southern Denmark aged 40-90 years to receive a mailed questionnaire concerning risk factors for osteoporosis based on FRAX. The predicted 10-year probability of hip fractures was calculated for each woman returning a complete questionnaire using the Swedish version of FRAX. The observed 10-year hip fracture risk was also calculated for each woman using age-specific hip fracture rates from the National Hospital Discharge Register and National survival tables. RESULTS: A total of 4194 (84%) women responded to the questionnaire and 3636 (73%) gave complete information and were included in the analysis. Using FRAX, the predicted 10-year fracture risk was 7.6%, ranging from 0.3 to 25.0% at the age of 41-50 and 81-90, respectively, while the corresponding observed fracture risk was 7.6%, ranging from 0.4 to 24.0%, respectively and not significantly different from the predicted risk (p = 0.92). CONCLUSIONS: The Swedish version of FRAX without BMD is applicable to Danish women.