Factors influencing hospitalization or emergency department visits and mortality in type 2 diabetes following the onset of new cardiovascular diagnoses in a population-based study.

BACKGROUND: Individuals with type 2 diabetes (T2D) are at increased risk of developing cardiovascular disease (CVD) which necessitates monitoring of risk factors and appropriate pharmacotherapy. This study aimed to identify factors predicting emergency department visits, hospitalizations, and mortality among T2D patients after being newly diagnosed with CVD. METHODS: In a retrospective observational study conducted in Region Halland, individuals aged > 40 years with T2D diagnosed between 2011 and 2019, and a new diagnosis of CVD between 2016 and 2019, were followed for one year from the date of CVD diagnosis. The first encounter for CVD diagnosis was categorized as inpatient-, outpatient-, primary-, or emergency department care. Follow-up included laboratory tests, blood pressure, pharmacotherapies, and healthcare utilization. Hazard ratios (HR) in two Cox regression analyses determined relative risks for emergency visits/hospitalization and mortality, adjusting for age, sex, glucose regulation, lipid levels, kidney function, blood pressure, pharmacotherapy, and healthcare utilization. RESULTS: The study included a total of 1759 T2D individuals who received a new CVD diagnosis, with 67% diagnosed during inpatient care. The average hospitalization stay was 6.5 days, and primary care follow-up averaged 10.1 visits. Patients with CVD diagnosed in primary care had a HR 0.52 (confidence interval [CI] 0.35-0.77) for emergency department visits/hospitalization, but age had a HR 1.02 (CI 1.00-1.03). Pharmacotherapy with insulin, DPP4-inhibitors, aldosterone antagonists, and beta-blockers had a raised HR. Highest mortality risk was observed when CVD was diagnosed inpatient care, systolic blood pressure < 100 mm Hg and elevated HbA1c. Age had a HR 1.05 (CI 1.03-1.08), eGFR < 30 ml/min HR 1.46 (CI 1.01-2.11), and LDL-Cholesterol > 2,5 h 1.46 (CI 1.01-2.11) and associated with increased mortality risk. Pharmacotherapy with metformin had a HR 0.41 (CI 0.28-0.62), statins a HR 0.39 (CI 0.27-0.57), and a primary care follow-up < 30 days a HR 0.53 (CI 0.37-0.77) and associated with lower mortality risk. CONCLUSIONS: T2D individuals who had a new diagnosis of CVD were predominantly diagnosed when hospitalized, while follow-up typically occurred in primary care. Identifying factors that predict risks of mortality and hospitalization should be a focus of follow-up care, underscoring the critical role of primary care in the effective management of T2D and CVD.

Factors associated with development of retinopathy in patients with type 2 diabetes mellitus at onset and within three years after diagnosis.

OBJECTIVE: To investigate the prevalence of diabetes retinopathy and evaluate the factors influencing its occurrence both at the onset of type 2 diabetes (T2D) and three years into its duration. DESIGN: Retrospective population-based study. SETTING: Data was retrieved from Regional Healthcare Information Platform in Region Halland 2016-2020. SUBJECTS: Patients 35-75 years old in Region Halland receiving first-time diabetes diagnosis according to ICD-code E11-14 in 2016-17. The total cohort consisted of 1659 patients. MAIN OUTCOME MEASURES: The main outcome measure of the study was the occurrence of diabetes retinopathy at onset and within three years from the diabetes diagnosis. Multivariate logistic regression analysis was conducted for diabetes retinopathy at onset and within three years, adjusted for age, gender, comorbidities, levels of HbA1c, cholesterol, kidney functional and blood pressure. RESULTS: At onset, there were 12% with diabetes retinopathy and after three years, 32% of the patients had developed diabetes retinopathy. In the study cohort, 71 of patients who were examined with fundus photography within three years after onset, and 8% had had dietary recommendation without pharmacotherapy. High HbA1c levels, blood pressure values and impaired renal function already at onset were associated with development of diabetes retinopathy at onset and this association persisted after three years. The odds ratio for diabetes retinopathy was increased adjusted for HbA1c elevations, renal impairment, and increased blood pressure at index and when adjusted for these variables three years from index. CONCLUSION: These findings indicate that the risk of developing diabetes retinopathy is present early on at onset and within the first three years of diabetes diagnosis. This highlights the importance of promptly regulating glucose- and blood-pressure levels and follow up kidney dysfunction to mitigate the risk of diabetes retinopathy.

Among patients with type 2 diabetes, 12% had developed diabetes retinopathy already at onset.Among patients with type 2 diabetes, one-third had developed diabetes retinopathy after three years from onset.The presence of diabetes retinopathy already at diabetes onset, was associated with elevated HbA1c levels, renal impairment and elevated blood pressure.Diabetes retinopathy three years after the onset of the disease, was associated with increased HbA1c levels, high blood pressure, and renal dysfunction.

Heart failure patients without echocardiography are more commonly diagnosed in hospital care and are associated with higher mortality compared to primary care.

OBJECTIVE: This Swedish study aimed to assess the prevalence, associated clinical factors, and mortality rates of heart failure patients diagnosed without echocardiograms in both hospital and primary care settings. DESIGN: We conducted a retrospective population-based study using data from the Region Halland healthcare database in Sweden covering 330,000 residents. SUBJECTS: From 2013-2019, 3,903 patients received an incidental heart failure diagnosis without an echocardiogram and they were followed for one year. MAIN OUTCOME MEASURES: Using logistic and Cox regression analyses, we evaluated the prevalence, clinical characteristics, and all-cause mortality at intervals of 30, 100, and 365 days post-diagnosis. RESULTS: In this Swedish cohort, the one-year all-cause mortality rate was markedly higher for patients diagnosed in hospitals (42%) compared to those in primary care (20%, p < 0.001). Patients diagnosed in primary care were older and had fewer comorbidities and lower NT-proBNP levels. Hospital-diagnosed patients faced a significantly higher mortality rate in the initial 30 days but saw similar rates to primary care patients thereafter. CONCLUSION: In a Swedish region, heart failure diagnoses without echocardiograms were more common in hospitals, and these patients initially faced worse prognoses. After the first month, however, the prognosis of hospital-diagnosed patients mirrored that of those diagnosed in primary care. These findings emphasize the need for improved diagnostic and treatment approaches in both care settings to enhance outcomes.

In a Swedish study, 58% of heart failure patients diagnosed without an echocardiogram were identified in a hospital setting. Patients diagnosed in primary care were generally older with fewer comorbidities and lower NT-proBNP levels. The first-year post-diagnosis mortality rate was higher for patients diagnosed in hospitals (42%) compared to those diagnosed in primary care (20%).Despite a higher initial mortality for hospital-diagnosed patients, the rates became comparable with primary care diagnoses after the first month.

Disparities in prevalence of heart failure between the genders in relation to age, multimorbidity and socioeconomic status in southern Sweden: a cross-sectional study.

OBJECTIVE: Prior studies have reported that heart failure typically affects elderly, multimorbid and socioeconomically deprived men. Women with heart failure are generally older, have a higher EF (ejection fraction) and have more heart failure-related symptoms than men. This study explored the disparities in the prevalence of heart failure between men and women in relation to age, multimorbidity level and socioeconomic status of the population in southern Sweden. DESIGN: A register-based, cross-sectional cohort study.Setting and subjects: The inhabitants from 20 years of age onwards (N = 981,383) living in southern Sweden in 2015.Main outcome measure: Prevalence and mean probability of having heart failure in both genders. CNI (Care Need Index) percentiles depend on the socioeconomic status of their listed primary healthcare centres. RESULTS: Men had a higher OR for HF - 1.70 (95% CI 1.65-1.75) - than women. The probability of men having heart failure increased significantly compared to women with advancing age and multimorbidity levels. At all CNI levels, the multimorbid patients had a higher prevalence of heart failure in men than in women. The disparity in the mean probability of heart failure between the most affluent and deprived CNI percentile was more apparent in women compared to men, especially from 80 years. CONCLUSIONS: The prevalence of heart failure differs significantly between the genders. Men had an increasing mean probability of heart failure with advancing age and multimorbidity level compared to women. Socioeconomic deprivation was more strongly associated with heart failure in women than in men. The probability of having heart failure differs between the genders in several aspects.Key PointsIndependently of socioeconomic status, men had a higher prevalence of heart failure than women among the multimorbid patients.The mean probability of men having heart failure increased significantly compared to women with advancing age and multimorbidity level.Socioeconomic status was more strongly associated with heart failure in women than in men.

The role of primary care in the cancer care continuum: a qualitative study of cancer survivors' experiences.

OBJECTIVE: To explore how cancer survivors have experienced their contacts with primary care after being diagnosed with cancer, focusing on the integration between cancer specialist and primary care, and participants' views on what could make primary care services better at catering to the needs of cancer survivors. DESIGN: A qualitative study in which data was collected through semi-structured digital focus group interviews and analyzed using a template analysis approach. SETTING AND SUBJECTS: Adult residents of Skåne, Sweden, who had been diagnosed with and initiated treatment for either of five common cancer forms, recruited through patient advocacy groups. MAIN OUTCOME MEASURES: A qualitative description of participants' experiences and perceptions as expressed in focus group interview data. RESULTS: Most participants felt that primary care services had not played a significant role for them, despite patterns of both increased and unmet health needs. Insufficient coordination and communication with specialist cancer care, low availability, lacking personal continuity, low cancer competence and lacking commitment to cancer-related needs were presented as barriers to satisfactory primary care. A strengthened bond between cancer and primary care services, privileged access, and holistic perspectives were all suggested as measures to make primary care more suitable to cancer survivors' needs. CONCLUSION: The study suggests that cancer survivors experience a range of issues that hinders primary care services from playing a productive role in the cancer care process. The results speak for a need for interventions to remove barriers to satisfactory primary care contacts in this group of patients.KEY POINTSThe growing number of cancer survivors highlights the role of primary care services in the cancer care continuum.Despite the presence of unmet needs, few cancer survivors felt that primary care services had been significant to their care.Survivors identified a number of barriers to satisfactory primary care, including lacking coordination and communication between cancer and primary care.Strengthened links between healthcare services, privileged access, and holistic perspectives were suggested to improve primary care delivery for cancer survivors.

Use of potentially inappropriate medication and polypharmacy in older adults: a repeated cross-sectional study.

BACKGROUND: With age, the number of chronic conditions increases along with the use of medications. For several years, polypharmacy has been found to be on the increase in western societies. Polypharmacy is associated with an increased risk of adverse drug events (ADE). Medications called potentially inappropriate medications (PIM) have also been found to increase the risk of ADEs in an older population. In this study, which we conducted during a national information campaign to reduce PIM, we analysed the prevalence of PIM in an older adult population and in different strata of the variables age, gender, number of chronic conditions and polypharmacy and how that prevalence changed over time. METHODS: This is a registry-based repeated cross-sectional study including two cohorts. Individuals aged 75 or older listed at a primary care centre in Blekinge on the 31st March 2011 (cohort 1, 15,361 individuals) or on the 31st December 2013 (cohort 2, 15,945 individuals) were included in the respective cohorts. Using a chi2 test, the two cohorts were compared on the variables age, gender, number of chronic conditions and polypharmacy. Use of five or more medications at the same time was the definition for polypharmacy. RESULTS: Use of PIM decreased from 10.60 to 7.04% (p-value < 0.001) between 2011 and 2013, while prevalence of five to seven chronic conditions increased from 20.55 to 23.66% (p-value < 0.001). Use of PIM decreased in all strata of the variables age, gender number of chronic conditions and polypharmacy. Except for age 80-84 and males, where it increased, prevalence of polypharmacy was stable in all strata of the variables. CONCLUSIONS: Use of potentially inappropriate medications had decreased in all variables between 2011 and 2013; this shows the possibility to reduce PIM with a focused effort. Polypharmacy does not increase significantly compared to the rest of the population.

Step-wise approach to prevention of chronic diseases in the Danish primary care sector with the use of a personal digital health profile and targeted follow-up - an assessment of attendance.

BACKGROUND: Current evidence on chronic disease prevention suggests that interventions targeted at high-risk individuals represents the best way forward. We implemented a step-wise approach in the Danish primary care sector, designed for the systematic and targeted prevention of chronic disease. The intervention centered on a personal digital health profile for all participants, followed by targeted preventive programs for high-risk patients. The present paper examines individual characteristics and health-care usage of patients who took up the targeted preventive programs in response to their personal digital health profile. METHODS: A sample of patients born between 1957 and 1986 was randomly selected from the patient-list system of participating general practitioners in two Danish municipalities. The selected patients received a digital invitation to participate. Consenting patients received a second digital invitation for a personal digital health profile based on questionnaire and electronic patient record data. The personal digital health profile contained individualized information on risk profile and personalized recommendations on further actions. If at-risk or presenting with health-risk behaviour a patient would be advised to contact either their general practitioner or municipal health centre for targeted preventive programs. Attendance at the targeted preventive programs was examined using Poisson regression and chi-squared automatic interaction detection methods. RESULTS: A total of 9400 patients were invited. Of those who participated (30%), 22% were advised to get a health check at their general practitioner. Of these, 19% did so. Another 23% were advised to schedule an appointment for behaviour-change counselling at their municipal health centre. A total of 21% took the advice. Patients who had fair or poor self-rated health, a body mass index above 30, low self-efficacy, were female, non-smokers, or lead a sedentary lifestyle, were most likely to attend the targeted preventive programs. CONCLUSIONS: A personal digital health profile shows some promise in a step-wise approach to prevention in the Danish primary care sector and seems to motivate people with low self-efficacy to attend targeted preventive programs. TRIAL REGISTRATION: Registered at Clinical Trial Gov (Unique Protocol ID: TOFpilot2016 ). Prospectively registered on the 29th of April 2016.

Digital Recruitment and Acceptance of a Stepwise Model to Prevent Chronic Disease in the Danish Primary Care Sector: Cross-Sectional Study.

BACKGROUND: During recent years, stepwise approaches to health checks have been advanced as an alternative to general health checks. In 2013, we set up the Early Detection and Prevention project (Tidlig Opsporing og Forebyggelse, TOF) to develop a stepwise approach aimed at patients at high or moderate risk of a chronic disease. A novel feature was the use of a personal digital mailbox for recruiting participants. A personal digital mailbox is a secure digital mailbox provided by the Danish public authorities. Apart from being both safe and secure, it is a low-cost, quick, and easy way to reach Danish residents. OBJECTIVE: In this study we analyze the association between the rates of acceptance of 2 digital invitations sent to a personal digital mailbox and the sociodemographic determinants, medical treatment, and health care usage in a stepwise primary care model for the prevention of chronic diseases. METHODS: We conducted a cross-sectional analysis of the rates of acceptance of 2 digital invitations sent to randomly selected residents born between 1957 and 1986 and residing in 2 Danish municipalities. The outcome was acceptance of the 2 digital invitations. Statistical associations were determined by Poisson regression. Data-driven chi-square automatic interaction detection method was used to generate a decision tree analysis, predicting acceptance of the digital invitations. RESULTS: A total of 8814 patients received an invitation in their digital mailbox from 47 general practitioners. A total of 40.22% (3545/8814) accepted the first digital invitation, and 30.19 % (2661/8814) accepted both digital invitations. The rates of acceptance of both digital invitations were higher among women, older patients, patients of higher socioeconomic status, and patients not diagnosed with or being treated for diabetes mellitus, chronic obstructive pulmonary disease, or cardiovascular disease. CONCLUSIONS: To our knowledge, this is the first study to report on the rates of acceptance of digital invitations to participate in a stepwise model for prevention of chronic diseases. More studies of digital invitations are needed to determine if the acceptance rates seen in this study should be expected from future studies as well. Similarly, more research is needed to determine whether a multimodal recruitment approach, including digital invitations to personal digital mailboxes will reach hard-to-reach subpopulations more effectively than digital invitations only.

Correction to: Impact of socioeconomic position and distance on mental health care utilization: a nationwide Danish follow-up study.

In the original publication of this article, Table 3 was published incorrectly. The corrected table is shown below.

Active listing and more consultations in primary care are associated with reduced hospitalisation in a Swedish population.

BACKGROUND: Healthcare systems are complex networks where relationships affect outcomes. The importance of primary care increases while health care acknowledges multimorbidity, the impact of combinations of different diseases in one person. Active listing and consultations in primary care could be used as proxies of the relationships between patients and primary care. Our objective was to study hospitalisation as an outcome of primary care, exploring the associations with active listing, number of consultations in primary care and two groups of practices, while taking socioeconomic status and morbidity burden into account. METHODS: A cross-sectional study using zero-inflated negative binomial regression to estimate odds of any hospital admission and mean number of days hospitalised for the population over 15 years (N = 123,168) in the Swedish county of Blekinge during 2007. Explanatory factors were listed as active or passive in primary care, number of consultations in primary care and primary care practices grouped according to ownership. The models were adjusted for sex, age, disposable income, education level and multimorbidity level. RESULTS: Mean days hospitalised was 0.94 (95%CI 0.90-0.99) for actively listed and 1.32 (95%CI 1.24-1.40) for passively listed. For patients with 0-1 consultation in primary care mean days hospitalised was 1.21 (95%CI 1.13-1.29) compared to 0.77 (95%CI 0.66-0.87) days for patients with 6-7 consultations. Mean days hospitalised was 1.22 (95%CI 1.16-1.28) for listed in private primary care and 0.98 (95%CI 0.94-1.01) for listed in public primary care, with odds for hospital admission 0.51 (95%CI 0.39-0.63) for public primary care compared to private primary care. CONCLUSIONS: Active listing and more consultations in primary care are both associated with reduced mean days hospitalised, when adjusting for socioeconomic status and multimorbidity level. Different odds of any hospitalisation give a difference in mean days hospitalised associated with type of primary care practice. To promote well performing primary care to maintain good relationships with patients could reduce mean days hospitalised.

Impact of heart failure and other comorbidities on mortality in patients with chronic obstructive pulmonary disease: a register-based, prospective cohort study.

BACKGROUND: Multimorbidity has already become common in primary care and will be a challenge in the future. Primary care in Sweden participates to a great extent in the care of patients with two severe, chronic conditions: chronic obstructive pulmonary disease (COPD) and heart failure. Both conditions are characterized by high mortality and often coexist. Age, sex, heart failure and other comorbidities are considered to be the major predictors of mortality in patients with COPD. We aimed to study the impact of heart failure, other comorbidities, age and sex on mortality in patients with COPD. METHODS: A register-based, prospective cohort study conducted in Blekinge County in Sweden with about 150,000 inhabitants. The study population was comprised of people aged ≥35 years. The data about diagnoses of COPD and heart failure came from the 2007 health care register, in which we found 984 individuals with a diagnosis of COPD. Date of death was collected from January 1st, 2008 -August 31st, 2015. The diagnosis-based Adjusted Clinical Groups (ACG) Case-Mix System 7.1 was used to describe comorbidity. Each individual was assigned one of six comorbidity levels called resource utilization bands (RUB) graded from 0 to 5. RESULTS: Estimated eight year mortality in patients with COPD and coexisting heart failure was seven times higher than in patients with COPD alone - odds ratio 7.06 (95% CI 3.88-12.84). Adjusting for age and male sex resulted in odds ratio 3.75 (95% CI 1.97-7.15). Further adjusting for other comorbidities resulted in odds ratio 3.26 (95% CI 1.70-6.25). The mortality was strongly associated with the highest comorbidity level - RUB 5 where the odds ratio was 5.19 (95% CI 2.59-10.38). CONCLUSION: Heart failure has an important impact on mortality in patients with COPD. The mortality in patients with COPD and coexisting heart failure was strongly associated with age, male sex and other comorbidities. Of those three predictors, only other comorbidities can be influenced. Heart failure and other comorbidities should be recognized early and properly treated in order to improve survival in patients with coexisting COPD and heart failure.

Targeted prevention in primary care aimed at lifestyle-related diseases: a study protocol for a non-randomised pilot study.

BACKGROUND: The consequences of lifestyle-related disease represent a major burden for the individual as well as for society at large. Individual preventive health checks to the general population have been suggested as a mean to reduce the burden of lifestyle-related diseases, though with mixed evidence on effectiveness. Several systematic reviews, on the other hand, suggest that health checks targeting people at high risk of chronic lifestyle-related diseases may be more effective. The evidence is however very limited. To effectively target people at high risk of lifestyle-related disease, there is a substantial need to advance and implement evidence-based health strategies and interventions that facilitate the identification and management of people at high risk. This paper reports on a non-randomized pilot study carried out to test the acceptability, feasibility and short-term effects of a healthcare intervention in primary care designed to systematically identify persons at risk of developing lifestyle-related disease or who engage in health-risk behavior, and provide targeted and coherent preventive services to these individuals. METHODS: The intervention took place over a three-month period from September 2016 to December 2016. Taking a two-pronged approach, the design included both a joint and a targeted intervention. The former was directed at the entire population, while the latter specifically focused on patients at high risk of a lifestyle-related disease and/or who engage in health-risk behavior. The intervention was facilitated by a digital support system. The evaluation of the pilot will comprise both quantitative and qualitative research methods. All outcome measures are based on validated instruments and aim to provide results pertaining to intervention acceptability, feasibility, and short-term effects. DISCUSSION: This pilot study will provide a solid empirical base from which to plan and implement a full-scale randomized study with the central aim of determining the efficacy of a preventive health intervention. TRIAL REGISTRATION: Registered at Clinical Trial Gov (Unique Protocol ID: TOFpilot2016 ). Registered 29 April 2016. The study adheres to the SPIRIT guidelines.

Active listing and more consultations in primary care are associated with shorter mean hospitalisation and interacting with psychiatric disorders when adjusting for multimorbidity, age and sex.

OBJECTIVE: Patient-provider relationships with primary care and need for hospitalisations are related within the complex networks comprising healthcare. Our objective was to analyse mean days hospitalised, using registration status (active or passive listing) with a provider and number of consultations as proxies of patient-provider relationships with primary care, adjusting for morbidity burden, age and sex while analysing the contribution of psychiatric disorders. The Johns Hopkins Adjusted Clinical Groups Case-Mix System was used to classify morbidity burden into Resource Utilization Band (RUB) 0-5. DESIGN: Cross-sectional population study using zero-inflated negative binomial regression. SETTING AND SUBJECTS: All population in the Swedish County of Blekinge (N = 151 731) in 2007. MAIN OUTCOME MEASURE: Mean days hospitalised. RESULTS: Actively listed were in mean hospitalised for 0.86 (95%CI 0.81-0.92) and passively listed for 1.23 (95%CI 1.09-1.37) days. For 0-1 consultation mean days hospitalised was 1.16 (95%CI 1.08-1.23) and for 4-5 consultations 0.68 (95%CI 0.62-0.75) days. At RUB3, actively listed were in mean hospitalised for 3.45 (95%CI 2.84-4.07) days if diagnosed with any psychiatric disorder and 1.64 (95%CI 1.50-1.77) days if not. Passively listed at RUB3 were in mean hospitalised for 5.17 (95%CI 4.36-5.98) days if diagnosed with any psychiatric disorder and 2.41 (95%CI 2.22-2.60) days if not. CONCLUSIONS: Active listing and more consultations were associated with a decrease in mean days hospitalised, especially for patients with psychiatric diagnoses. IMPLICATIONS: Promoting good relationships with primary care could be an opportunity to decrease mean days hospitalised, especially for patients with more complex diagnostic patterns. Key Points Primary care performance, patient-provider relationships and need for hospitalisation are related within the complex networks comprising healthcare systems. Good patient-provider relationships, i.e. more consultations and active listing, with primary care are associated with decreasing mean days hospitalised. The impact of patient-provider relationships in primary care on mean days hospitalised increased when psychiatric disorders added to patient complexity.

Impact of socioeconomic position and distance on mental health care utilization: a nationwide Danish follow-up study.

PURPOSE: To determine the impact of socioeconomic position (SEP) and distance to provider on outpatient mental health care utilization among incident users of antidepressants. METHOD: A nationwide register-based cohort study of 50,374 person-years. RESULTS: Persons in low SEP were more likely to have outpatient psychiatrist contacts [odds ratio (OR) 1.25; confidence interval (CI) 1.17-1.34], but less likely to consult a co-payed psychologist (OR 0.49; CI 0.46-0.53) and to get mental health service from a GP (MHS-GP) (OR 0.81; CI 0.77-0.86) compared to persons in high SEP after adjusting for socio-demographics, comorbidity and car ownership. Furthermore, persons in low SEP who had contact to any of these therapists tended to have lower rates of visits compared to those in high SEP. When distance to services increased by 5 km, the rate of visits to outpatient psychiatrist tended to decrease by 5% in the lowest income group (IRR 0.95; CI 0.94-0.95) and 1% in the highest (IRR 0.99; CI 0.99-1.00). Likewise, contact to psychologists decreased by 11% in the lowest income group (IRR 0.89; CI 0.85-0.94), whereas rate of visits did not interact. CONCLUSION: Patients in low SEP have relatively lower utilization of mental health services even when services are free at delivery; co-payment and distance to provider aggravate the disparities in utilization between patients in high SEP and patients in low SEP.

Medical engagement and organizational characteristics in general practice.

BACKGROUND: Medical engagement is a mutual concept of the active and positive contribution of doctors to maintaining and enhancing the performance of their health care organization, which itself recognizes this commitment in supporting and encouraging high quality care. A Medical Engagement Scale (MES) was developed by Applied Research Ltd (2008) on the basis of emerging evidence that medical engagement is critical for implementing radical improvements. OBJECTIVES: To study the importance of medical engagement in general practice and to analyse patterns of association with individual and organizational characteristics. DESIGN AND SETTING: A cross-sectional study using a sampled survey questionnaire and the official register from the Danish General Practitioners' Organization comprising all registered Danish GPs. METHOD: The Danish version of the MES Questionnaire was distributed and the survey results were analysed in conjunction with the GP register data. RESULTS: Statistically adjusted analyses revealed that the GPs' medical engagement varied substantially. GPs working in collaboration with colleagues were more engaged than GPs from single-handed practices, older GPs were less engaged than younger GPs and female GPs had higher medical engagement than their male colleagues. Furthermore, GPs participating in vocational training of junior doctors were more engaged than GPs not participating in vocational training. CONCLUSION: Medical engagement in general practice varies a great deal and this is determined by a complex interaction between both individual and organizational characteristics. Working in collaboration, having staff and being engaged in vocational training of junior doctors are all associated with enhanced levels of medical engagement among GPs.

Resource allocation and the burden of co-morbidities among patients diagnosed with chronic obstructive pulmonary disease: an observational cohort study from Danish general practice.

BACKGROUND: Chronic obstructive pulmonary disease is a leading cause of mortality, and associated with increased healthcare utilization and healthcare expenditure. In several countries, morbidity-based systems have changed the way resources are allocated in general practice. In primary care, fee-for-services tariffs are often based on political negotiation rather than costing systems. The potential for comprehensive measures of patient morbidity to explain variation in negotiated expenditures for patients with chronic obstructive pulmonary disease has not previously been examined. The aim of this study is to analyze fee-for-service expenditure of patients diagnosed with chronic obstructive pulmonary disease visiting Danish general practice clinics and further to assess what proportion of fee-for-service expenditure variation was explained by patient morbidity and general practice clinic characteristics, respectively. METHODS: We used patient morbidity characteristics such as diagnostic markers and multi-morbidity adjustment based on adjusted clinical groups (ACGs) and fee-for-service expenditure for a sample of primary care patients for the year 2010. Our sample included 3,973 patients in 59 general practices. We used a multi-level approach. RESULTS: The average annual fee-for-service expenditure of caring for patients diagnosed with chronic obstructive pulmonary disease in general practice was about EUR 400 per patient. Variation in the expenditures was driven by multimorbidity characteristics up to 28% where as characteristics such as age and gender only explained 5%. Expenditures increased progressively with the degree of multimorbidity. In addition, expenditures were higher for patients who had diagnostic markers based on ICPC-2 (body systems and/or components such as infections and symptoms). Nevertheless, 9.8-15.4% of the variation in expenditure was related to the clinic in which the patient was cared for. CONCLUSION: Patient morbidity and general practice clinic characteristics are significant patient-related fee-for-service expenditure drivers in chronic obstructive pulmonary disease care.

Indication for pharmacological treatment is often lacking: a cross-sectional study on the quality of drug therapy among the elderly.

BACKGROUND: Although the elderly have a substantially higher drug use than younger patients, even after adjustment for multimorbidity, there is limited knowledge about the elderly's indication for treatment. It is essential for elderly patients to have a well-planned drug therapy. The first step towards a correct and safe drug therapy is to ensure that the patient's drugs have an indication, i.e. correct diagnoses are linked to all of the prescription drugs. The aim of this study was to examine to what extent elderly patients have indication for a number of their prescribed drugs and, furthermore, if there are any differences in indication for treatment depending on gender, age, level of multimorbidity and income. METHOD: Data were collected on individuals aged 65 years or older in Östergötland County in Sweden. To estimate the individual level of multimorbidity the Johns Hopkins ACG Case-Mix System was used. A report from the Swedish National Board of Health and Welfare was used to identify prescription drugs, for which it is important to have a correct diagnosis. The proportions of patients having indication for these prescription drugs were calculated. Odds ratios of having indication for treatment depending on gender, age, multimorbidity level and income were calculated. RESULTS: On average 45.1 % (range 12.9 % - 75.8 %) of the patients' prescribed drugs had indication. Proton pump inhibitors were associated with the lowest level of indication (12.9 %) and digoxin was associated with the highest level of indication for treatment (75.8 %). Patients aged 80 years or older had the lowest odds ratios of having indication for treatment. CONCLUSION: On average, there was indication for treatment in less than half of the prescription drugs studied. The quality was highest in relation to multimorbidity and lowest in relation to age. The result may to some extent be explained by substandard registration of diagnoses. Since lack of quality of prescription drug use is highly associated with inconvenience among the elderly, as well as high costs to society, it is important that future research and allocation of resources focus on the quality of elderly patients' drug therapy.

Is use of fall risk-increasing drugs in an elderly population associated with an increased risk of hip fracture, after adjustment for multimorbidity level: a cohort study.

BACKGROUND: Risk factors for hip fracture are well studied because of the negative impact on patients and the community, with mortality in the first year being almost 30% in the elderly. Age, gender and fall risk-increasing drugs, identified by the National Board of Health and Welfare in Sweden, are well known risk factors for hip fracture, but how multimorbidity level affects the risk of hip fracture during use of fall risk-increasing drugs is to our knowledge not as well studied. This study explored the relationship between use of fall risk-increasing drugs in combination with multimorbidity level and risk of hip fracture in an elderly population. METHODS: Data were from Östergötland County, Sweden, and comprised the total population in the county aged 75 years and older during 2006. The odds ratio (OR) for hip fracture during use of fall risk-increasing drugs was calculated by multivariate logistic regression, adjusted for age, gender and individual multimorbidity level. Multimorbidity level was estimated with the Johns Hopkins ACG Case-Mix System and grouped into six Resource Utilization Bands (RUBs 0-5). RESULTS: 2.07% of the study population (N = 38,407) had a hip fracture during 2007. Patients using opioids (OR 1.56, 95% CI 1.34-1.82), dopaminergic agents (OR 1.78, 95% CI 1.24-2.55), anxiolytics (OR 1.31, 95% CI 1.11-1.54), antidepressants (OR 1.66, 95% CI 1.42-1.95) or hypnotics/sedatives (OR 1.31, 95% CI 1.13-1.52) had increased ORs for hip fracture after adjustment for age, gender and multimorbidity level. Vasodilators used in cardiac diseases, antihypertensive agents, diuretics, beta-blocking agents, calcium channel blockers and renin-angiotensin system inhibitors were not associated with an increased OR for hip fracture after adjustment for age, gender and multimorbidity level. CONCLUSIONS: Use of fall risk-increasing drugs such as opioids, dopaminergic agents, anxiolytics, antidepressants and hypnotics/sedatives increases the risk of hip fracture after adjustment for age, gender and multimorbidity level. Fall risk-increasing drugs, high age, female gender and multimorbidity level, can be used to identify high-risk patients who could benefit from a medication review to reduce the risk of hip fracture.

The PROTECCT-M study: a cohort study investigating associations between novel specific biomarkers, patient-related, healthcare system markers and the trajectory of COPD patients treated in primary care.

BACKGROUND: Chronic Obstructive Pulmonary Disease (COPD) is the most common severe chronic disease in primary care. It is typically diagnosed at a late stage, and it is also difficult to predict its trajectory and hence to tailor treatment and rehabilitation. The overall aim is to study determinants of exacerbations of COPD treated in primary care and to study, if the prognosis is related to patient-related, healthcare system markers or levels of the potential biomarkers such as microfibrillar-associated protein 4 (MFAP4) and surfactant protein D (SP-D). Furthermore, we aim to establish a cohort of COPD patients treated in Danish primary care comprising register data, data captured from the GPs' electronic patient record system (EPR) and a biobank in order to make analyses on factors associated with different tractories of COPD treated in primary care. METHODS/DESIGN: A cohort study of incident and prevalent COPD patients treated and followed by their GPs using data capture, which is a computer system collecting data from the GPs' own EPR and transferring them to the Danish General Practice Research Database. The participating COPD patients were investigated at a baseline consultation by their own GP, and the results were registered using a pop-up menu by the GP. During the consultation blood samples were taken and the patients were given a questionnaire. The patients will then be followed prospectively at yearly consultations and in between these consultations by means of the data capture system. The collected data will also be combined with register data from other sources. The data collection started in December 2012, and so far 30 practices with 77 GPs have included about 350 patients. The study aims to include 2000 patients till the end of 2016, and after that to continue to collect data on these patients using the data capture system. DISCUSSION: The GP currently lacks tools to predict trajectory of their COPD patients. The measurement of lung function only reflects loss of lung capacity and not disease activity. Use of biomarkers for detection of early COPD could be a possible way of predicting trajectory to aid both the GP and his/her patients. This study aims to provide evidence of determinants of a COPD trajectory, including novel specific biomarkers and other patient- and healthcare system-related markers. TRIAL REGISTRATION: ClinicalTrials.gov Protocol Registration System, Identifier: NCT01698151.

Can gender difference in prescription drug use be explained by gender-related morbidity?: a study on a Swedish population during 2006.

BACKGROUND: It has been reported that there is a difference in drug prescription between males and females. Even after adjustment for multi-morbidity, females tend to use more prescription drugs compared to males. In this study, we wanted to analyse whether the gender difference in drug treatment could be explained by gender-related morbidity. METHODS: Data was collected on all individuals 20 years and older in the county of Östergötland in Sweden. The Johns Hopkins ACG Case-Mix System was used to calculate individual level of multi-morbidity. A report from the Swedish National Institute of Public Health using the WHO term DALY was the basis for gender-related morbidity. Prescription drugs used to treat diseases that mainly affect females were excluded from the analyses. RESULTS: The odds of having prescription drugs for males, compared to females, increased from 0.45 (95% confidence interval (CI) 0.44-0.46) to 0.82 (95% CI 0.81-0.83) after exclusion of prescription drugs that are used to treat diseases that mainly affect females. CONCLUSION: Gender-related morbidity and the use of anti-conception drugs may explain a large part of the difference in prescription drug use between males and females but still there remains a difference between the genders at 18%. This implicates that it is of importance to take the gender-related morbidity into consideration, and to exclude anti-conception drugs, when performing studies regarding difference in drug use between the genders.