The Effect of Coordinating the Outpatient Treatment across Medical Specialities for Patients With Multimorbidity.

Introduction: Patients with multimorbidity attend multiple outpatient clinics. We assessed the effects on hospital use of scheduling several outpatient appointments to same-day visits in a multidisciplinary outpatient pathway (MOP). Methods: This study used a quasi-experimental design. Eligible patients had multimorbidity, were aged ≥18 years and attended ≥2 outpatient clinics in five different specialties. Patients were identified through forthcoming appointments from August 2018 to March 2020 and divided into intervention group (alignment of appointments) and comparison group (no alignment). We used patient questionnaires and paired analyses to study care integration and treatment burden. Using negative binomial regression, we estimated healthcare utilisation as incidence rates ratios (IRRs) at one year before and one year after baseline for both groups and compared IRR ratios (IRRRs). Results: Intervention patients had a 19% reduction in hospital visits (IRRR: 0.81, 95% CI: 0.70-0.96) and a 17% reduction in blood samples (IRRR: 0.83, 0.73-0.96) compared to comparison patients. No effects were found for care integration, treatment burden, outpatient contacts, terminated outpatient trajectories, hospital admissions, days of admission or GP contacts. Conclusion: The MOP seemed to reduce the number of hospital visits and blood samples. These results should be further investigated in studies exploring the coordination of outpatient care for multimorbidity. Research question: Can an intervention of coordinating outpatient appointments to same-day visits combined with a multidisciplinary conference influence the utilisation of healthcare services and the patient-assessed integration of healthcare services and treatment burden among patients with multimorbidity?

Effectiveness of an adaptive, multifaceted intervention to enhance care for patients with complex multimorbidity in general practice: protocol for a pragmatic cluster randomised controlled trial (the MM600 trial).

INTRODUCTION: Patients with complex multimorbidity face a high treatment burden and frequently have low quality of life. General practice is the key organisational setting in terms of offering people with complex multimorbidity integrated, longitudinal, patient-centred care. This protocol describes a pragmatic cluster randomised controlled trial to evaluate the effectiveness of an adaptive, multifaceted intervention in general practice for patients with complex multimorbidity. METHODS AND ANALYSIS: In this study, 250 recruited general practices will be randomly assigned 1:1 to either the intervention or control group. The eligible population are adult patients with two or more chronic conditions, at least one contact with secondary care within the last year, taking at least five repeat prescription drugs, living independently, who experience significant problems with their life and health due to their multimorbidity. During 2023 and 2024, intervention practices are financially incentivised to provide an extended consultation based on a patient-centred framework to eligible patients. Control practices continue care as usual. The primary outcome is need-based quality of life. Outcomes will be evaluated using linear and logistic regression models, with clustering considered. The analysis will be performed as intention to treat. In addition, a process evaluation will be carried out and reported elsewhere. ETHICS AND DISSEMINATION: The trial will be conducted in compliance with the protocol, the Helsinki Declaration in its most recent form and good clinical practice recommendations, as well as the regulation for informed consent. The study was submitted to the Danish Capital Region Ethical Committee (ref: H-22041229). As defined by Section 2 of the Danish Act on Research Ethics in Research Projects, this project does not constitute a health research project but is considered a quality improvement project that does not require formal ethical approval. All results from the study (whether positive, negative or inconclusive) will be published in peer-reviewed journals. TRIAL REGISTRATION NUMBER: NCT05676541.

Contact with general practice in patients with suspected chronic coronary syndrome before and after CT angiography compared with the general population.

BACKGROUND: Most patients undergoing coronary computed tomography angiography (CCTA) to diagnose coronary artery disease (CAD) are referred from general practitioners (GP). The burden in contacts to GP in relation to investigation on suspected CAD is unknown. METHODS: All patients undergoing CCTA in Western Denmark from 2014-2022 were included. CCTA stenosis was defined as diameter stenosis of ≥ 50%. Patients with and without stenosis were matched, in each group, 1:5 to a reference population based on birth-year, gender and municipality using data from national registries. All GP visits were registered in up to five years preceding and one year after the CTA and stratified by gender and age. Charlson comorbidity index (CCI) were calculated in all groups. RESULTS: Of the 62 512 patients included, 12 886 had a stenosis while 49 626 did not. Patients in both groups had a substantially higher GP visit frequency compared to reference populations. In the year of coronary CTA median GP contacts in patients with stenosis was 11 [6-17] vs. 6 [2-11] in the reference population (P < 0.001), in patients without stenosis 10 [6-17] vs. 5 [2-11] (P < 0.001). These findings were consistent across age and gender. CCI was higher among both patients with and without stenosis compared to reference groups. CONCLUSION: In patients undergoing CCTA to diagnose CAD, a substantially increased frequency of contacts to GP was observed in the five-year period prior to examination compared to the reference populations regardless of the CCTA findings. Obtaining the CCTA result did not seem to substantially affect the GP visit frequency.

A comparison of the original major depression inventory with a modified version: A Danish validation study.

BACKGROUND: The Major Depression Inventory (MDI) is a patient-reported outcome measure used by general practitioners to assist with diagnosing and evaluation of the severity of a patient's depression. However, recent studies have questioned the structural validity of the MDI. OBJECTIVES: We proposed a modified version (mMDI) of the MDI with fewer response categories and four rephrased items and aimed to compare the psychometric properties of the changes in a joint cohort of patients from general practice and mental health associations. METHODS: We used Rasch analysis, confirmatory factor analysis, and the area under the receiver operating curve (AUROC) to assess the validity and reliability of the two versions. Equipercentile linking was used to compute cut-off points for the mMDI. RESULTS: For both versions, local dependence was found between the three item pairs (loss of interest, lack of energy), (lack of self-confidence, feelings of guilt), and (concentration problems, feeling restless/slowed down). The mMDI displayed lower measurement error in the upper end of the scale and better item level fit for three of the four reformulated items compared to the MDI. For the MDI, 5.3% of the respondents gave improbable responses; the corresponding number was 3.4% for the mMDI. The mMDI displayed better fit to a one-factor model compared to the MDI. When comparing the correlation of the scales with the WHO-5 instrument, the corresponding AUROC estimates for the mMDI and MDI were found to be 0.93 (0.92; 0.96) and 0.91 (0.87; 0.94), respectively. The cut-off points for mild, moderate, and severe depression in the mMDI were found to be 17, 20, and 23, respectively. CONCLUSION: The proposed changes of the MDI are psychometrically sound upgrades of the original.

Psychiatric disorders and the cancer diagnostic process in general practice: a combined questionnaire and register study exploring the patients' experiences in Denmark.

OBJECTIVE: Patients with psychiatric disorders are at risk of experiencing suboptimal cancer diagnostics and treatment. This study investigates how this patient group perceives the cancer diagnostic process in general practice. DESIGN: Cross-sectional study using questionnaire and register data. SETTING: General practice in Denmark. SUBJECTS: Patients diagnosed with cancer in late 2016 completed a questionnaire about their experiences with their general practitioner (GP) in the cancer diagnostic process (n = 3411). Information on pre-existing psychiatric disorders was obtained from register data on psychiatric hospital contacts and primary care treated psychiatric disorders through psychotropic medications. Logistic regression was used to analyse the association between psychiatric disorders and the patients' experiences. MAIN OUTCOME MEASURES: Patients' experiences, including cancer worry, feeling being taken seriously, and the perceived time between booking an appointment and the first GP consultation.[Box: see text]. RESULTS: A total of 13% of patients had an indication of a psychiatric disorder. This group more often perceived the time interval as too short between the first booking of a consultation and the first GP consultation. Patients with primary care treated psychiatric disorders were more likely to worry about cancer at the first presentation and to share this concern with their GP compared with patients without psychiatric disorders. We observed no statistically significant association between patients with psychiatric disorders and perceiving the waiting time to referral from general practice, being taken seriously, trust in the GP's abilities, and the patients' knowledge of the process following the GP referral. CONCLUSION: The patients' experiences with the cancer diagnostic process in general practice did not vary largely between patients with and without psychiatric disorders. Worrying about cancer may be a particular concern for patients with primary care treated psychiatric disorders.

It is unknown how patients with psychiatric disorders perceive the cancer diagnostic process in general practice.This study found an association between having a psychiatric disorder and more often perceiving the time interval as too short between the first booking of a consultation and the first GP consultation.An association was found between having a primary care treated psychiatric disorder and being worried about cancer and more often sharing these concerns with the GP.Experiences with the cancer diagnostic process in general practice did not differ between patients with a hospital treated psychiatric disorder and patients with no indication of psychiatric disorders.

Temporal capital and unaligned times as inequality mechanisms: A case study of chronic care in general practice.

Addressing persistent health inequality is one of the most critical challenges in public health. Structural features of 'time' may provide new perspectives on the link between social inequality and time in a healthcare context. Drawing on the case of chronic care in Danish general practice, we aim to use temporal capital as a theoretical frame to unfold how patients' social positions are interlinked with their medical treatment. We followed patients with multimorbidity and polypharmacy in general practice. Data were collected from interviews, observations, informal conversations, and medical records. We used the concept temporal capital to illuminate the mechanism of inequality in healthcare. We suggest understanding temporal capital as patients' abilities and possibilities to understand, navigate, negotiate, and manage the temporal rhythms of healthcare. Unaligned times, i.e. the mismatch between patients' temporal capital and healthcare organisations and/or professionals' rhythms, are unfolded in five themes: unaligned schedules (scheduling the consultation to fit everyday life and institutional rhythms and attending the consultation), sequences (preparing activities in a specific order to accommodate clinical linearity), agendas (timing the agenda to the clinical workflow), efficiency (ensuring efficiency in the consultation and balancing on-task and off-task content), and pace (conducting the consultation to accommodate fixed durations). Differences in temporal capital and hence abilities and possibilities for aligning with the temporal rhythms of healthcare may be facilitated or restrained by the individual patient's social position, thereby defining and establishing temporal mechanisms of social inequality in medical treatment. In conclusion, social inequality in medical treatment has several temporal references, resulting from pre-existing inequalities and causing new ones. Notions of temporal capital and temporal unalignment provide a useful lens for exploring social inequality in healthcare encounters.

Multi-morbid patients with co-existing mental and physical illness.

This review investigates the mortality gap that exists between people with or people without mental illness. Poor physical health is the leading cause of excess mortality among people with mental illness. Mental disorders increase the risk of developing a broad range of physical diseases and the risk of death caused by somatic diseases is increased. Also, mental disorder is associated with less optimal treatment in the somatic healthcare system, which is also evident within a broad spectrum of somatic diseases. The role of structural factors such as the design of the healthcare system and stigma are developing.

Definition and delimitation of multimorbidity.

Multimorbidity is often defined as two or more long-term conditions, the definition may, however, vary. This review summarises various definitions of multimorbidity. The prevalence of multimorbidity in Denmark is between 7% and 29% depending on data sources and definition and is increasing with age; nonetheless most patients with multimorbidity are of working age. Several multimorbidity indices have been developed for research purposes, but with no clinical consensus. The concept of complex multimorbidity adds psychosocial context and health-care patterns to better describe the group of patients with multimorbidity having the highest needs.

Healthcare fragmentation, multimorbidity, potentially inappropriate medication, and mortality: a Danish nationwide cohort study.

BACKGROUND: Patients with multimorbidity are frequent users of healthcare, but fragmented care may lead to suboptimal treatment. Yet, this has never been examined across healthcare sectors on a national scale. We aimed to quantify care fragmentation using various measures and to analyze the associations with patient outcomes. METHODS: We conducted a register-based nationwide cohort study with 4.7 million Danish adult citizens. All healthcare contacts to primary care and hospitals during 2018 were recorded. Clinical fragmentation indicators included number of healthcare contacts, involved providers, provider transitions, and hospital trajectories. Formal fragmentation indices assessed care concentration, dispersion, and contact sequence. The patient outcomes were potentially inappropriate medication and all-cause mortality adjusted for demographics, socioeconomic factors, and morbidity level. RESULTS: The number of involved healthcare providers, provider transitions, and hospital trajectories rose with increasing morbidity levels. Patients with 3 versus 6 conditions had a mean of 4.0 versus 6.9 involved providers and 6.6 versus 13.7 provider transitions. The proportion of contacts to the patient's own general practice remained stable across morbidity levels. High levels of care fragmentation were associated with higher rates of potentially inappropriate medication and increased mortality on all fragmentation measures after adjusting for demographic characteristics, socioeconomic factors, and morbidity. The strongest associations with potentially inappropriate medication and mortality were found for ≥ 20 contacts versus none (incidence rate ratio 2.83, 95% CI 2.77-2.90) and ≥ 20 hospital trajectories versus none (hazard ratio 10.8, 95% CI 9.48-12.4), respectively. Having less than 25% of contacts with your usual provider was associated with an incidence rate ratio of potentially inappropriate medication of 1.49 (95% CI 1.40-1.58) and a mortality hazard ratio of 2.59 (95% CI 2.36-2.84) compared with full continuity. For the associations between fragmentation measures and patient outcomes, there were no clear interactions with number of conditions. CONCLUSIONS: Several clinical indicators of care fragmentation were associated with morbidity level. Care fragmentation was associated with higher rates of potentially inappropriate medication and increased mortality even when adjusting for the most important confounders. Frequent contact to the usual provider, fewer transitions, and better coordination were associated with better patient outcomes regardless of morbidity level.

Multimorbidity and determinants for initiating outpatient trajectories: A population-based study.

INTRODUCTION: Individuals with multimorbidity often receive high numbers of hospital outpatient services in concurrent trajectories. Nevertheless, little is known about factors associated with initiating new hospital outpatient trajectories; identified as the continued use of outpatient contacts for the same medical condition. PURPOSE: To investigate whether the number of chronic conditions and sociodemographic characteristics in adults with multimorbidity is associated with entering a hospital outpatient trajectory in this population. METHODS: This population-based register study included all adults in Denmark with multimorbidity on January 1, 2018. The exposures were number of chronic conditions and sociodemographic characteristics, and the outcome was the rate of starting a new outpatient trajectory during 2018. Analyses were stratified by the number of existing outpatient trajectories. We used Poisson regression analysis, and results were expressed as incidence rates and incidence rate ratios with 95% confidence intervals. We followed the individuals during the entire year of 2018, accounting for person-time by hospitalization, emigration, and death. RESULTS: Incidence rates for new outpatient trajectories were highest for individuals with low household income and ≥3 existing trajectories and for individuals with ≥3 chronic conditions and in no already established outpatient trajectory. A high number of chronic conditions and male gender were found to be determinants for initiating a new outpatient trajectory, regardless of the number of existing trajectories. Low educational level was a determinant when combined with 1, 2, and ≥3 existing trajectories, and increasing age, western ethnicity, and unemployment when combined with 0, 1, and 2 existing trajectories. CONCLUSION: A high number of chronic conditions, male gender, high age, low educational level and unemployment were determinants for initiation of an outpatient trajectory. The rate was modified by the existing number of outpatient trajectories. The results may help identify those with multimorbidity at greatest risk of having a new hospital outpatient trajectory initiated.

Variation in Psychometric Testing in General Practice - A Nationwide Cohort Study.

Objective: Most mental disorders are diagnosed and treated in general practice. Psychometric tests may help the general practitioner diagnose and treat mental disorders like dementia, anxiety, and depression. However, little is known about the use of psychometric tests in general practice and their impact on further treatment. We aimed to assess the use of psychometric tests in Danish general practice and to estimate whether variation in use is associated with the provided treatment and death by suicide in patients. Methods: This nationwide cohort study included registry data on all psychometric tests performed in Danish general practice in 2007-2018. We used Poisson regression models adjusted for sex, age, and calendar time to assess predictors of use. We used fully adjusted models to estimate the standardized utilization rates for all general practices. Results: A total of 2,768,893 psychometric tests were used in the study period. Considerable variations were observed among general practices. A positive association was seen between a general practitioner's propensity to use psychometric testing and talk therapy. Patients listed with a general practitioner with low use had an increased rate of redeemed prescriptions for anxiolytics [incidence rate ratio (95% confidence interval):1.39 (1.23;1.57)]. General practitioners with high use had an increased rate of prescriptions for antidementia drugs [1.25 (1.05;1.49)] and first-time antidepressants [1.09 (1.01;1.19)]. High test use was seen for females [1.58 (1.55; 1.62)] and patients with comorbid diseases. Low use was seen for populations with high income [0.49 (0.47; 0.51)] and high educational level [0.78 (0.75; 0.81)]. Conclusion: Psychometric tests were used mostly for women, individuals with a low socioeconomic status, and individuals with comorbid conditions. The use of psychometric tests depends on general practice and is associated with talk therapy, redemptions for anxiolytics, antidementia drugs, and antidepressants. No association was found between general practice rates and other treatment outcomes.

Unplanned cancer presentation in patients with psychiatric disorders: A nationwide register-based cohort study in Denmark.

Unplanned presentation in the cancer pathway is more common in patients with psychiatric disorders than in patients without. More knowledge about the risk factors for unplanned presentation could help target interventions to ensure earlier diagnosis of cancer in patients with psychiatric disorders. This study aims to estimate the association between patient characteristics (social characteristics and coexisting physical morbidity) and cancer diagnosis following unplanned presentation among cancer patients with psychiatric disorders. We conducted a population-based register study including patients diagnosed with cancer in 2014-2018 and also registered with at least one psychiatric disorder in the included Danish registers (n = 26,005). We used logistic regression to assess patient characteristics associated with an unplanned presentation. Almost one in four symptomatic patients (23.6 %) with pre-existing psychiatric disorders presented unplanned in the cancer trajectory. Unplanned presentation was most common for severe psychiatric disorders, e.g. organic disorders and schizophrenia. Old age, male sex, living alone, low education, physical comorbidity, and non-attendance in primary care were associated with increased odds of unplanned presentation. In conclusion, several characteristics of patients with pre-existing psychiatric disorders were associated with unplanned presentation in the cancer trajectory; for some groups more than 40 % had an unplanned presentation. This information could be used to design targeted interventions for patients with pre-existing psychiatric disorders to ensure earlier diagnosis of cancer in this population.

Analysis of mortality metrics associated with a comprehensive range of disorders in Denmark, 2000 to 2018: A population-based cohort study.

BACKGROUND: The provision of different types of mortality metrics (e.g., mortality rate ratios [MRRs] and life expectancy) allows the research community to access a more informative set of health metrics. The aim of this study was to provide a panel of mortality metrics associated with a comprehensive range of disorders and to design a web page to visualize all results. METHODS AND FINDINGS: In a population-based cohort of all 7,378,598 persons living in Denmark at some point between 2000 and 2018, we identified individuals diagnosed at hospitals with 1,803 specific categories of disorders through the International Classification of Diseases-10th Revision (ICD-10) in the National Patient Register. Information on date and cause of death was obtained from the Registry of Causes of Death. For each of the disorders, a panel of epidemiological and mortality metrics was estimated, including incidence rates, age-of-onset distributions, MRRs, and differences in life expectancy (estimated as life years lost [LYLs]). Additionally, we examined models that adjusted for measures of air pollution to explore potential associations with MRRs. We focus on 39 general medical conditions to simplify the presentation of results, which cover 10 broad categories: circulatory, endocrine, pulmonary, gastrointestinal, urogenital, musculoskeletal, hematologic, mental, and neurologic conditions and cancer. A total of 3,676,694 males and 3,701,904 females were followed up for 101.7 million person-years. During the 19-year follow-up period, 1,034,273 persons (14.0%) died. For 37 of the 39 selected medical conditions, mortality rates were larger and life expectancy shorter compared to the Danish general population. For these 37 disorders, MRRs ranged from 1.09 (95% confidence interval [CI]: 1.09 to 1.10) for vision problems to 7.85 (7.77 to 7.93) for chronic liver disease, while LYLs ranged from 0.31 (0.14 to 0.47) years (approximately 16 weeks) for allergy to 17.05 (16.95 to 17.15) years for chronic liver disease. Adjustment for air pollution had very little impact on the estimates; however, a limitation of the study is the possibility that the association between the different disorders and mortality could be explained by other underlying factors associated with both the disorder and mortality. CONCLUSIONS: In this study, we show estimates of incidence, age of onset, age of death, and mortality metrics (both MRRs and LYLs) for a comprehensive range of disorders. The interactive data visualization site (https://nbepi.com/atlas) allows more fine-grained analysis of the link between a range of disorders and key mortality estimates.

Trajectories in Outpatient Care for People with Multimorbidity: A Population-Based Register Study in Denmark.

Background: Multimorbidity is a global health challenge. Individuals with multimorbidity are frequent users of healthcare services, and many experience fragmented healthcare. We assessed the number of outpatient trajectories and contacts with hospital outpatient clinics for individuals with multimorbidity and explored different time intervals for the occurrence of concurrent outpatient trajectories. Methods: A population-based cohort of 1.3 million residents, ≥18 years, with multimorbidity was identified through Danish national health registries. Multimorbidity was defined as having two or more of 39 specific chronic conditions. Nine disease system categories were used to categorize outpatient contacts in 2018 into outpatient trajectories and trajectory-related contacts. We defined an "outpatient trajectory" as two contacts within 12 consecutive months for the same medical condition. All outpatient contacts and trajectories with related contacts were counted for 2018. The impact of different time intervals on the number of concurrent trajectories was analyzed. Results: On 1 January 2019, 29% of the adult Danish population was classified as multimorbid. During 2018, 68% of them had ≥1 outpatient contact (median: 2 (IQI: 0-4)). Twenty-six percent had ≥1 outpatient trajectory. The median number of trajectory contacts was 3 (IQI: 2-5). The 4% of individuals with ≥2 outpatient trajectories accounted for 28% of trajectory contacts. During the 6-week period from the latest outpatient contact, 33% of all patients with ≥2 trajectories in 2018 experienced concurrent trajectories with outpatient contact. Conclusion: Two-thirds of adult Danes with multimorbidity attended an outpatient clinic in 2018, and one-fourth had at least one outpatient trajectory. Individuals with two or more trajectories represented 4% and comprised 28% of the trajectory contacts; 33% had concurrent trajectories within a 6-week period. It appears that a small proportion place demands on outpatient clinics because of frequent attendance. A more uniform way of organizing outpatient trajectories for these patients merits consideration.

Routes to cancer diagnosis for patients with pre-existing psychiatric disorders: a nationwide register-based cohort study.

BACKGROUND: Poor cancer prognosis has been observed in patients with pre-existing psychiatric disorders. Therefore, we need better knowledge about the diagnosis of cancer in this patient group. The aim of the study was to describe the routes to cancer diagnosis in patients with pre-existing psychiatric disorders and to analyse how cancer type modified the routes. METHODS: A register-based cohort study was conducted by including patients diagnosed with incident cancer in 2014-2018 (n = 155,851). Information on pre-existing psychiatric disorders was obtained from register data on hospital contacts and prescription medication. Multinomial regression models with marginal means expressed as probabilities were used to assess the association between pre-existing psychiatric disorders and routes to diagnosis. RESULTS: Compared to patients with no psychiatric disorders, the population with a psychiatric disorder had an 8.0% lower probability of being diagnosed through cancer patient pathways initiated in primary care and a 7.6% higher probability of being diagnosed through unplanned admissions. Patients with pre-existing psychiatric disorders diagnosed with rectal, colon, pancreatic, liver or lung cancer and patients with schizophrenia and organic disorders were less often diagnosed through cancer patient pathways initiated in primary care. CONCLUSION: Patients with pre-existing psychiatric disorders were less likely to be diagnosed through Cancer Patient Pathways from primary care. To some extent, this was more pronounced among patients with cancer types that often present with vague or unspecific symptoms and among patients with severe psychiatric disorders. Targeting the routes by which patients with psychiatric disorders are diagnosed, may be one way to improve the prognosis among this group of patients.

Mortality Associated With Mental Disorders and Comorbid General Medical Conditions.

Importance: Premature mortality has been observed among people with mental disorders. Comorbid general medical conditions contribute substantially to this reduction in life expectancy. Objective: To provide an analysis of mortality associated with comorbidity between a broad range of mental disorders and general medical conditions. Design, Setting, and Participants: Population-based cohort study of 5 946 800 individuals born in Denmark from 1900 to 2015 and residing in the country at the start of follow-up (January 1, 2000, or their date of birth, whichever occurred later). Exposures: Danish health registers were used to identify people with mental disorders and general medical conditions. Main Outcomes and Measures: Considering pairs of mental disorders and general medical conditions, we calculated mortality rate ratios (MRRs) and differences in life expectancy (ie, life-years lost) to assess the association of mortality with both disorders of interest compared with the mental disorder of interest, the general medical condition of interest, and neither disorder of interest. Results: The study population comprised 2 961 397 males and 2 985 403 females, with a median (IQR) age of 32.0 years (7.3-52.9) at start of follow-up and 48.9 years (42.5-68.8) at the end. Based on all pairs of comorbid mental disorders and general medical conditions, the mean MRR compared with people without these conditions was 5.90 (median, 4.94; IQR, 3.80-7.30), and the mean reduction of life expectancy compared with the general population was 11.35 years (median, 11.08; range, 5.27-23.53; IQR, 8.22-13.72). The association with general medical condition comorbidity in those with mental disorders varied by general medical condition; for example, the addition of a neurological condition for each of the mental disorders was associated with a mean MRR of 1.22, whereas for cancer, the mean MRR for all mental disorders was 4.07. Conclusions and Relevance: In this study, shorter life expectancy was associated with comorbid mental disorders and general medical conditions compared with the entire population and also when compared with patients who had either mental disorders only or general medical conditions only. Prevention and early detection of comorbidities could reduce premature mortality in patients with mental disorders.

Improving Health Care for Patients with Multimorbidity: A Mixed-Methods Study to Explore the Feasibility and Process of Aligning Scheduled Outpatient Appointments through Collaboration between Medical Specialties.

Background: Many patients with multimorbidity have appointments and parallel trajectories in several outpatient clinics across medical specialties. This organisation may disintegrate care and challenges the navigation of the healthcare system. Methods: This study explored the feasibility of an intervention targeting patients seen in several outpatient clinics for multiple diseases. The intervention aimed to coordinate outpatient appointments through enhanced collaboration across medical specialties. Feasibility and process were assessed through mixed methods by tracking the intervention through prospectively collected data and through semi-structured interviews with patients and healthcare professionals. Results: A multidisciplinary outpatient pathway was established as an intervention. Appointments for different medical specialties were scheduled on the same day, information was rapidly transferred to the receiving outpatient clinic, and a multidisciplinary conference resulted in the circulation of a joint summary. In the first year, 20% of eligible patients were enrolled. Appointments were aligned in 15% of patients, and blood samples were reduced by 29%. Overall, intervention components were delivered as intended and seemed acceptable, although the patient selection needed refinement. Conclusion: It seems feasible to set up an intervention for patients attending several hospital outpatient clinics. Future interventions should focus on selecting patients in greatest need for alignment of appointments.

Chronic care services and variation between Danish general practices: a nationwide cohort study.

BACKGROUND: Little is known about variations in the provision of chronic care services in primary care. AIM: To describe the frequency of chronic care services provided by GPs and analyse the extent of non-random variation in service provision. DESIGN AND SETTING: Nationwide cohort study undertaken in Denmark using data from 2016. METHOD: Information on chronic care services was obtained from national health registers, including annual chronic care consultations, chronic care procedures, outreach home visits, and talk therapy. The associations between services provided, patient morbidity, and socioeconomic factors were estimated. Service variations were analysed, and excess variation related to practice-specific factors was estimated while accounting for random variation. RESULTS: Chronic care provision was associated with increasing patient age, increasing number of long-term conditions, and indicators of low socioeconomic status. Variation across practices ranged from 1.4 to 128 times more than expected after adjusting for differences in patient population and random variation. Variation related to practice-specific factors was present for all the chronic care services that were investigated. Older patients with lower socioeconomic status and multimorbidity were clustered in practices with low propensity to provide certain chronic care services. CONCLUSION: Chronic care was provided to patients typically in need of health care, that is, older adults, those with multimorbidity, and those with low socioeconomic status, but service provision varied more than expected across practices. GPs provided slightly fewer chronic care services than expected in practices where many patients with multimorbidity and low socioeconomic status were clustered, suggesting inverse care law mechanisms.

Potentially inappropriate medications (PIMs): frequency and extent of GP-related variation in PIMs: a register-based cohort study.

OBJECTIVES: Potentially inappropriate medications (PIMs) pose an increasing challenge in the ageing population. We aimed to assess the extent of PIMs and the prescriber-related variation in PIM prevalence. DESIGN: Nationwide register-based cohort study. SETTING: General practice. PARTICIPANTS: The 4.2 million adults listed with general practitioner (GP) clinics in Denmark (n=1906) in 2016. MAIN OUTCOME MEASURES: We estimated the patients' time with PIMs by using 29 register-operationalised STOPP criteria linking GP clinics and redeemed prescriptions. For each criterion and each GP clinic, we calculated ratios between the observed PIM time and that predicted by multivariate Poisson regressions on the patients. The observed variation was measured as the 90th/10th percentile ratios of these ratios. The extent of expectable random variation was assessed as the 90th/10th percentile ratios in randomly sampled GP populations (ie, the sampled variation). The GP-related excess variation was calculated as the ratio between the observed variation and sampled variation. The linear correlation between the observed/expected ratio for each of the criteria and the observed/expected ratio of total PIM time (for each clinic) was measured by Pearson's rho. RESULTS: Overall, 294 542 individuals were exposed to 1 44 117 years of PIMs. The two most prevalent PIMs were long-term use (>3 months) of non-steroidal anti-inflammatory drugs (51 074 years of PIMs) or benzodiazepines (48 723 years of PIMs). These two criteria showed considerable excess variation of 2.33 and 3.05, respectively; for total PIMs, this figure was 1.65. For more than half of the criteria, we observed a positive correlation between the specific PIM and the sum of remaining PIMs. CONCLUSIONS: This study documents considerable variations in the prescribing practice of GPs for certain PIMs. These findings highlight a need for exploring the causal explanations for such variations, which could be markers of suboptimal GP-prescribing strategies.

General practitioners' management of patients with psychological stress: audit results from Denmark.

BACKGROUND: In western countries, psychological stress is among the most common causes of long-lasting sick leave and a frequent reason to consult the general practitioner (GP). This study aimed to investigate how GPs manage patients with psychological stress and how the management is associated with the patient's sex, the GP's assessment of causality, and coexisting mental disorders. METHODS: We conducted an audit of consecutive cases in Danish general practice. The GPs used electronic medical records to fill in a registration form for each 18-65-year-old patient with whom they had had at least one consultation regarding stress during the past 6 months. Only patients initially in the workforce were included. Age- and sex-adjusted binary regression was applied. RESULTS: Fifty-six GPs (61% women) identified 785 cases. The patients' mean age was 44 years and 70% were women. The cause of stress was considered at least partially work-related in 69% of the cases and multifactorial in a third of cases. The management included sick leave (54%), counselling (47%), pharmaceutical treatment (37%), and referral to psychologist (38%). Compared to women, stress in men was less often considered work-related (RR: 0.84, CI95%: 0.77-0.92) and men were less often sick-listed (RR: 0.83 CI95%: 0.73-0.96) but were more often prescribed tranquilizers (RR: 1.72 CI95%: 1.08-2.74). CONCLUSIONS: GPs' management of patients with stress usually involve elements of counselling, sick leave, referral to psychologist, and medication. Women and men with stress are perceived of and managed differently.