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ObjectivesTo investigate temporal trends in the geographical variation in oral anticoagulant (OAC) treatment of patients with atrial fibrillation, to evaluate the extent to which regional differences in patient populations may explain this difference and to explore whether patient predictors of adherence may have a different impact across regions.DesignRegister-based cohort study from 1 January 2013 to 31 December 2022.SettingThe study used data from nationwide health registers to explore differences in OAC adherence across the five administrative regions in Denmark.ParticipantsPatients with atrial fibrillation and a CHA2DS2-VASc score ≥2 (n=291 666).OutcomePopulation adherence to OAC treatment operationalised as the proportion of days covered (PDC).ResultsA continuous rise in overall adherence (PDC) from 53% to 78% was observed during the study period. Concurrently, the predominant treatment shifted from vitamin K antagonists to direct OACs with a preference for rivaroxaban and apixaban. The adherence variation between the highest-performing and lowest-performing regions decreased from 18% in 2013 to 9% in 2022, whereas the relative between-regions rankings remained unchanged. Applying multivariate Poisson models adjusting for patient demographics, health status and socioeconomic factors did not substantially change the inter-regional variations; this suggests that different compositions of patient populations cannot explain these variations. However, the impact of socioeconomic factors and comorbidities among patients was unequal across regions. In regions with the lowest overall adherence, a higher risk of non-adherence was seen among patients having mental health disorders, low income and living alone.ConclusionsThe geographical variation in OAC adherence decreased over time as the overall adherence improved. However, substantial variation remained.

Potentially inappropriate medication (PIM) is associated with negative health outcomes and can serve as an indicator of treatment quality. Previous studies have identified social inequality in treatment but often relied on narrow understandings of social position or failed to account for mediation by differential disease risk among social groups. Understanding how social position influences PIM exposure is crucial for improving the targeting of treatment quality and addressing health disparities. This study investigates the association between social position and PIM, considering the mediation effect of long-term conditions. This cross-sectional study utilized data from the 2017 Danish National Health Survey, including 177,495 individuals aged 18 or older. Data were linked to national registers on individual-level. PIM was defined from the STOPP/START criteria and social position was assessed through indicators of economic, cultural, and social capital (from Bourdieu's Capital Theory). We analyzed odds ratios (ORs) and prevalence proportion differences (PPDs) for PIM using logistic regression, negative binomial regression, and generalized structural equation modeling. The models were adjusted for age and sex and analyzed separately for indicators of under- (START) and overtreatment (STOPP). The mediation analysis was conducted to separate direct and indirect effects via long-term conditions. Overall, 14.7% of participants were exposed to one or more PIMs, with START PIMs being more prevalent (12.5%) than STOPP PIMs (3.1%). All variables for social position except health education were associated with PIM in a dose-response pattern. Individuals with lower wealth (OR: 1.85 [95% CI 1.77, 1.94]), lower income (OR: 1.78 [95% CI 1.69, 1.87]), and lower education level (OR: 1.66 [95% CI 1.56, 1.76]) exhibited the strongest associations with PIM. Similar associations were observed for immigrants, people with low social support, and people with limited social networks. The association with PIM remained significant for most variables after accounting for mediation by long-term conditions. The disparities were predominantly related to overtreatment and did not relate to the number of PIMs. The study's main limitation is the risk of reverse causation due to the complex nature of social position and medical treatment. The findings highlight significant social inequalities in PIM exposure, driven by both economic, cultural, and social capital despite a universal healthcare system. Understanding the social determinants of PIM can inform policies to reduce inappropriate medication use and improve healthcare quality and equity.

Background There is no validated way of measuring the prevalence and duration of patient delay, and we do not know how people perceive and define the time intervals they are asked to report in patient delay studies. This lack of a validated measure hampers research in patient delay and is counterproductive to efforts directed at securing early diagnosis of cancer. Discussion The main argument of the present paper is that current studies on patient delay do not sufficiently consider existing theories on symptom interpretation. It is illustrated that the interpretation of bodily sensations as symptoms related to a specific cancer diagnosis is embedded within a social and cultural context. We therefore cannot assume that respondents define delay periods in identical ways. Summary In order to improve the validity of patient delay studies, it is suggested that research be strengthened on three counts: More research should be devoted to symptom interpretation processes, more research should seek to operationalise patient delay, and, importantly, more research is needed to develop valid instruments for measuring patient delay.

To describe the use and perceived usefulness of implementation support provided to general practice during an accreditation process and to explore potential variations across clinic characteristics. Cross-sectional questionnaire study. All Danish general practice clinics undergoing an accreditation survey from 27 September 2016 to 15 December 2017 (n = 608). Use and perceived usefulness of seven types of implementation support as reported by general practitioners (GPs). Clinic characteristics included practice type, number of GP partners and staff and employment of GP trainees. The total response rate was 74% (n = 447). Most clinics (99.5%) used some type of implementation support (average: 4.8 different types). The most used types of support were peer support (80-92%) and various accreditation documents (85-92%). Support tailored to the individual clinic was most often considered useful (91-97%). However, this type of support was used relatively infrequently (16-40%). In most cases, clinic characteristics were neither significantly associated with the use of support nor with the perceived usefulness of the available support. During the accreditation processes, each clinic used a broad variety of implementation support. Support tailored to the individual clinic was highly appreciated and should be promoted in future quality interventions in general practice. Discussions with peers were widely used, and it should be investigated further how peer discussions are best facilitated. The study calls for a multifactorial approach to future quality interventions in general practice to target the needs and capacities of the individual clinics.

Background Depression constitutes a significant part of the global burden of diseases. General practice plays a central role in diagnosing and monitoring depression. A telemedicine solution comprising a web-based psychometric tool may reduce number of visits to general practice and increase patient empowerment. However, the current use of telemedicine solutions in the field of general practice is limited. This study aims to explore barriers and facilitators to using a web-based version of the Major Depression Inventory (eMDI) for psychometric testing of potentially depressive patients in general practice. Methods Semi-structured individual interviews were conducted with nine general practitioners (GPs) from eight general practices in the Central Denmark Region. All interviewees had previous experience in using the eMDI in general practice. Determinants for using the eMDI were identified in relation to the GPs’ capability, opportunity and motivation to change clinical behaviour (the COM-B system). Results Our results indicate that the main barriers for using the eMDI are related to limitations in the GPs’ opportunity in regards to having the time it takes to introduce change. Further, the use of the eMDI seems to be hampered by the time-consuming login process. Facilitating factors included behavioural aspects of capability, opportunity and motivation. The implementation of the eMDI was facilitated by the interviewees’ previous familiarity with the paper-based version of the tool. Continued use of the eMDI was facilitated by a time-saving documentation process and motivational factors associated with clinical core values. These factors included perceptions of improved consultation quality and services for patients, improved possibilities for GPs to prioritise their patients and improved possibilities for disease monitoring. Furthermore, the flexible nature of the eMDI allowed the GPs to use the paper-based MDI for patients whom the eMDI was not considered appropriate. Conclusions Implementation of a telemedicine intervention in general practice can be facilitated by resemblance between the intervention and already existing tools as well as the perception among GPs that the intervention is time-saving and improves quality of care for the patients.

Background Healthcare accreditation is a widely implemented tool used to enhance the quality of care and underpin quality control. However, research is sparse on the accreditation process in general practice. The aim of this study was to explore how team-based implementation activities preceding accreditation were associated with self-perceived improvements in emergency preparedness (preparedness for urgent disease and cardiac arrest) and handling of prescription renewals in Danish general practice. Methods GPs (general practitioners) completed a questionnaire exploring practice-team activities conducted to implement two specific accreditation standards and the related improvements as perceived by the GPs. The following implementation activities were selected, inspired by Normalization Process Theory: Common understanding (obtaining a common understanding of the purpose of implementing changes according to the accreditation standard), key person (assigning a key person responsible for working with the standard), and easy integration (finding it easy to integrate changes into existing working procedures). Data were analysed with logistic regression, and adjusted analyses included practice type, number of GP partners, number of staff, training site for junior GPs and administrative region. Results The total response rate was 74% (n = 920). Around 80% of the clinics reported having conducted team-based implementation activities. Almost half of the clinics (48%) reported perceived improvements in the emergency preparedness, and 30% reported perceived improvements in the handling of prescription renewals. Obtaining a common understanding was found to have a strong, significant association with perceived improvements in the emergency preparedness (OR = 5.07 (3.06–8.40)) and handling of prescription renewals (OR = 3.66 (2.07–6.46)). Easy integration of changes was also significantly associated with improvements in both emergency preparedness (OR = 1.88 (1.24–2.85)) and handling of prescription renewals (OR = 2.34 (1.44–3.79)), whereas assigning a key person was only significantly associated with improved emergency preparedness (OR = 1.95 (1.19–3.19)). Conclusion Clinical quality initiatives that involve collaboration within a practice team are more likely to cause improvements if specific team-based implementation activities are conducted. It is particularly important to facilitate a common understanding of the purpose of the initiative. Therefore, external support for quality initiatives aiming at the practice level in general practice should facilitate such team-based activities.

Background Anticoagulant treatment is recommended for most patients with atrial fibrillation. Yet, register studies show a persisting treatment gap, which may lead to preventable strokes. This study aimed to explore the reasons for omitting anticoagulant treatment in patients with atrial fibrillation. Methods We performed a comprehensive audit of electronic patient records in Danish general practice, including 12 clinics served by 39 general practitioners. All patients with atrial fibrillation, prevalent on 1 January 2023 and receiving no anticoagulant treatment, were identified using data from nationwide health registers. Patient records were reviewed retrospectively, covering the period 1 January 2001-1 January 2023. Information on care trajectories, follow-up patterns, decisions on anticoagulant treatment and reasons for omission were extracted and summarised using descriptive statistics. Results In a representative sample of patients with atrial fibrillation receiving no anticoagulant treatment ( n  = 166), the absence of treatment was based on clinical decisions explicitly noted in the patient records in 93.4% of cases. In 34.3% of non-users, anticoagulants were deselected due to a low risk of stroke and no treatment indication, and 59.1% represented clinical decisions made in areas with no firm guideline recommendations. Reasons for anticoagulant treatment omission included minimal atrial fibrillation burden, left atrial appendage closure, palliative care, risk-benefit considerations and patient preference. However, in 6.6% of patients, the absence of treatment reflected unjustified or outdated decisions. For patients with atrial fibrillation receiving no anticoagulant treatment, care trajectories were characterised by contacts across healthcare sectors. For 64.4% of patients, the most recent contact for atrial fibrillation occurred in the hospital setting, while 30.7% had theirs in general practice. Most follow-up consultations were planned in general practice, but 59.0% had no follow-up plan. A decision on anticoagulant treatment was explicitly documented in the electronic patient record (at least once since diagnosis) for 94.6% of patients, with 22.3% revised in the past year. Conclusion This study found that most anticoagulant treatment omissions in patients with atrial fibrillation were supported by documented clinical reasoning, suggesting that the extent of inappropriate undertreatment may be lower than expected. Nevertheless, optimising care pathways could facilitate timely anticoagulation for some patients with atrial fibrillation.

Assessing genetic lifetime risk for prostate cancer has been proposed as a means of risk stratification to identify those for whom prostate-specific antigen (PSA) testing is likely to be most valuable. This project aimed to test the effect of introducing a genetic test for lifetime risk of prostate cancer in general practice on future PSA testing. We performed a cluster randomized controlled trial with randomization at the level of general practices (73 in each of two arms) in the Central Region (Region Midtjylland) of Denmark. In intervention practices, men were offered a genetic test (based on genotyping of 33 risk-associated single nucleotide polymorphisms) in addition to the standard PSA test that informed them about lifetime genetic risk of prostate cancer and distinguished between \"normal\" and \"high\" risk. The primary outcome was the proportion of men having a repeated PSA test within 2 years. A multilevel logistic regression model was used to test the association. After applying the exclusion criteria, 3,558 men were recruited in intervention practices, with 1,235 (34.7%) receiving the genetic test, and 4,242 men were recruited in control practices. Men with high genetic risk had a higher propensity for repeated PSA testing within 2 years than men with normal genetic risk (odds ratio [OR] = 8.94, p < 0.01). The study was conducted in routine practice and had some selection bias, which is evidenced by the relatively large proportion of younger and higher income participants taking the genetic test. Providing general practitioners (GPs) with access to a genetic test to assess lifetime risk of prostate cancer did not reduce the overall number of future PSA tests. However, among men who had a genetic test, knowledge of genetic risk significantly influenced future PSA testing. This study is registered with ClinicalTrials.gov, number NCT01739062.

Background Being a general practitioner for residents in many care homes may challenge communication with residents, relatives, and care home staff, and potentially lead to lower quality of care. Several countries have therefore introduced different solutions to reduce the number of general practitioners at each care home. In 2017, the designated general practitioner model was introduced at many Danish care homes. This study aimed to evaluate experiences from the interprofessional team-based collaboration between designated general practitioners and care home staff with regular contact with the designated general practitioners in an urban Danish setting. Methods A qualitative design was applied using semi-structured interviews. Eight interviews (three group interviews and five individual interviews) were conducted with four designated general practitioners and seven care home staff members at four care homes in an urban setting of Central Denmark Region, Denmark. The interviews were transcribed verbatim, and data were analysed using content analysis with inspiration from the theory of relational coordination. The study followed the guidelines addressed in the COREQ (Consolidated Criteria for Reporting Qualitative Research) framework. Results The initiation of the designated general practitioner model was experienced to contribute to more clear, precise, and timely communication between care homes and the general practitioner. An improved mutual acknowledgement of roles and competencies was experienced between designated general practitioners, care home nurses, and sometimes also social and health care assistants. The more frequent visits by the general practitioners at the care homes, as a result of the designated general practitioner model, resulted in more face-to-face communication between care home staff and designated general practitioners. Professional differences in the interpretation of the patient’s needs were still present, which at times caused a frustrating compromise of own professional competencies. An important reason for the overall perception of improved collaboration was attributed to the more frequent dialogue in which the care homes staff and the designated general practitioners exchanged knowledge that could be applied in future patient encounters. Conclusion The designated general practitioner model implied an improved collaboration between general practitioners and care homes staff. Clear, precise, and timely communication between care homes and the general practitioners, as well as mutual trust and acknowledgement was experienced to be essential for the collaboration. An important reason for the overall perception of an improved collaboration was attributed to the more frequent dialogue (more frequent general practitioner visits at the care homes) in which the care homes staff and the designated general practitioners exchange knowledge which again could be applied in future patient encounters.

To study variation in antibiotic prescribing rates among general practitioners (GP) in out-of-hours (OOH) primary care and to explore GP characteristics associated with these rates. Population-based observational registry study using routine data from the OOH primary care registration system on patient contacts and antibiotic prescriptions combined with national register data. OOH primary care of the Central Denmark Region. All patient contacts in 2014-2017. GPs' tendency to prescribe antibiotics. Excess variation (not attributable to chance). We included 794,220 clinic consultations (16.1% with antibiotics prescription), 281,141 home visits (11.6% antibiotics), and 1,583,919 telephone consultations (5.8% antibiotics). The excess variation in the tendency to prescribe antibiotics was 1.56 for clinic consultations, 1.64 for telephone consultations, and 1.58 for home visits. Some GP characteristics were significantly correlated with a higher tendency to prescribe antibiotics, including 'activity level' (i.e. number of patients seen in the past hour) for clinic and telephone consultations, 'familiarity with OOH care' (i.e. number of OOH shifts in the past 180 days), male sex, and younger age for home visits. Overall, GP characteristics explained little of the antibiotic prescribing variation seen among GPs (Pseudo r 2 : 0.008-0.025). Some variation in the GPs' tendency to prescribe antibiotics was found for OOH primary care contacts. Available GP characteristics, such as GPs' activity level and familiarity with OOH care, explained only small parts of this variation. Future research should focus on identifying factors that can explain this variation, as this knowledge could be used for designing interventions. KEY POINTS Current awareness: Antibiotic prescribing rates seem to be higher in out-of-hours than in daytime primary care. Most important results: Antibiotic prescribing rates varied significantly among general practitioners after adjustment for contact- and patient-characteristics. This variation remained even after accounting for variation attributable to chance. General practitioners' activity level and familiarity with out-of-hours care were positively associated with their tendency to prescribe antibiotics.