Project description:AimsThe aim of this paper was to analyse heart failure (HF) signs and symptoms, hospital referrals, and prescription patterns in patients receiving sacubitril/valsartan (sac/val) in primary care and cardiology settings in Germany.Methods and resultsA retrospective cohort study of electronic medical records identified 1263 adults (aged ≥18 years) in the German IMS® Disease Analyzer database who were prescribed sac/val during 2016 and had at least 6 months of data following sac/val initiation. Clinical characteristics were collected during the 12 months before the first recorded sac/val prescription (index date) and 6 months post-index. Details of sac/val dose and prescription patterns were also recorded in the 6 months post-index. HF signs, symptoms, and all-cause hospital referrals were evaluated for 90 days pre-index and 30-120 days post-index. Most patients (62%) were prescribed the lowest sac/val dose of 24/26 mg twice daily (b.i.d.) at index; only 14% of patients initiated on 24/26 mg or 49/51 mg b.i.d. were up-titrated to the 97/103 mg b.i.d. target dose during the 6 months post-index, while 6% of patients initiated on either 49/51 mg or 97/103 mg b.i.d. were stably down-titrated. Evaluation of prescription patterns in relation to clinical characteristics did not clearly explain the reluctance to up-titrate in the majority of patients. More patients experienced HF signs or symptoms or all-cause referrals to hospital during the 90 days pre-index than during the 30-120 days post-index.ConclusionsThe majority of patients receiving sac/val are not up-titrated, contrary to recommendations of the EU summary of product characteristics; this is not fully explained by patients' clinical characteristics. Further research is required to understand the reasons for clinician inertia.
Project description:ObjectiveTo determine whether neighbours who share the same family physicians have better cardiovascular and health care outcomes.DesignRetrospective cohort study using administrative health databases.SettingOntario.ParticipantsThe study population included 2,690,482 adult patients cared for by 1710 family physicians.InterventionsAdult residents of Ontario were linked to their family physicians and the geographic distance between patients in the same panel or list was calculated. Using distance between patients within a panel to stratify physicians into quintiles of panel proximity, physicians and patients from close-proximity practices were compared with those from more-distant-proximity practices. Age- and sex-standardized incidence rates and hazard ratios from cause-specific hazards regression models were determined.Main outcome measuresThe occurrence of a major cardiovascular event during a 5-year follow-up period (2008 to 2012).ResultsPatients of panels in the closest-proximity quintile lived an average of 3.9 km from the 10 closest patients in their panel compared with 12.4 km for the 10 closest patients of panels in the distant-proximity quintile. After adjusting for various patient and physician characteristics, patients in the most-distant-proximity practices had a 24% higher rate of cardiovascular events (adjusted hazard ratio=1.24 [95% CI 1.20 to 1.28], P<.001) than patients in the closest-proximity practices. Age- and sex-standardized all-cause mortality and total per patient health care costs were also lowest in the closest-proximity quintile. In sensitivity analyses restricted to large urban communities and to White long-term residents, results were similar.ConclusionThe better cardiovascular outcomes observed in close-proximity panels may be related to a previously unrecognized mechanism of social connectedness that extends the effectiveness of primary care practitioners.
Project description:ImportancePrimary care is an important part of the care pathway for patients with psychosis; therefore, primary care physicians need to be able to accurately identify those at clinical high risk of psychosis. The difficulty of this task is increased because clinical high-risk symptoms are frequently nonspecific to psychosis.ObjectiveTo determine whether the consultation patterns for a prespecified set of symptoms can be used to identify primary care patients who later developed a psychotic illness.Design, setting, and participantsThis nested case-control study used primary care consultation data collected from 530 primary care practices in 13 UK regions from January 1, 2000, through September 30, 2009. Participants included 11 690 adults with a diagnosis of psychosis and 81 793 control participants who did not have a diagnosis of psychosis individually matched by age group, sex, and primary care practice. Data were analyzed from July 1, 2015, through June 2, 2017.ExposuresPrespecified symptoms selected from literature included attention-deficit/hyperactivity disorder-like symptoms, bizarre behavior, blunted affect, problems associated with cannabis, depressive symptoms, role functioning problems, social isolation, symptoms of mania, obsessive-compulsive disorder-like symptoms, disordered personal hygiene, sleep disturbance, problems associated with cigarette smoking, and suicidal behavior (including self-harm).Main outcomes and measuresCase (diagnosis of psychosis) or control (no diagnosis of psychosis) status. Conditional logistic regression was used to investigate the association between symptoms and case-control status in the 5 years before diagnosis. Positive predictive values (PPVs) were calculated using the Bayes theorem for symptoms stratified by age group and sex. Repeated-measures Poisson regression was used to investigate symptom consultation rate.ResultsOf the total sample of 93 483 participants, 57.4% were female and 40.0% were older than 60 years (mean [SD] age, 51.34 [21.75] years). Twelve symptoms were associated with a later psychotic diagnosis (all prespecified symptoms except disordered personal hygiene). The strongest association was with suicidal behavior (odds ratio [OR], 19.06; 95% CI, 16.55-21.95). Positive predictive values were heterogeneous across age and sex. The highest PPVs were for suicidal behavior (33.0% in men 24 years or younger [95% CI, 24.2%-43.2%] and 19.6% in women aged 25-34 years [95% CI, 13.7%-27.2%]). Pairs of symptoms were associated with an increase in PPV. Consultation rates were higher in cases and increased 3 months before diagnosis.Conclusions and relevanceMost of the preselected nonspecific symptoms were associated with a later psychotic diagnosis, particularly among young men consulting for suicidal behavior, especially if consulting with increasing frequency. These symptoms should alert physicians to patients who may benefit from a further assessment of psychotic symptoms.
Project description:BackgroundWhile deaths, hospitalizations, and emergency department visits for head trauma are well understood, little is known about presentations in outpatient settings. Our objective was to examine the epidemiology and extent of healthcare-seeking adult (18-64 years) head trauma patients presenting in outpatient settings compared with patients receiving nonhospitalized emergency department care.MethodsWe used 2004-2013 MarketScan Medicaid/commercial claims to identify head trauma patients managed in outpatient settings (primary care provider, urgent care) and the emergency department. We examined differences in demographic and injury-specific factors, Centers for Disease Control and Prevention-defined head trauma diagnoses, and extent of and reasons for postindex visit ambulatory care use within 30/90/180 days by index visit location, as well as annual and monthly variations in head trauma trends. We used outpatient incidence rates to estimate the US nationwide outpatient burden.ResultsA total of 1.19 million index outpatient visits were included (emergency department: 348,659). Nationwide, they represented a weighted annual burden of 1.16 million index outpatient cases. These encompassed 46% of all known healthcare-seeking head trauma in 2013 (outpatient/emergency department/inpatient/fatalities) and increased in magnitude (+31%) from 2004 to 2013. One fourth (27%) of office/clinic visits led to diagnosis with concussion on index presentation (urgent care: 32%). Distributions of demographic factors varied with index visit location while injury-specific factors were largely comparable. Subsequent visits reflected high demand for follow-up treatment, increased concussive diagnoses, and sequelae-associated care.ConclusionsAdult outpatient presentations of head trauma remain poorly understood. The results of this study demonstrate the extensive magnitude of their occurrence and close association with need for follow-up care.
Project description:ObjectiveTo examine differences in use of Veterans Health Administration (VA) and Medicare outpatient services by VA primary care patients.Data sources/study settingVA administrative and Medicare claims data from 2001 to 2004.Study designRetrospective cohort study of outpatient service use by 8,964 community-based and 6,556 hospital-based VA primary care patients.Principal findingsA significant proportion of VA patients used Medicare-reimbursed primary care (>30 percent) and specialty care (>60 percent), but not mental health care (3-4 percent). Community-based patients had 17 percent fewer VA primary care visits (p<.001), 9 percent more Medicare-reimbursed visits (p<.001), and 6 percent fewer total visits (p<.05) than hospital-based patients. Community-based patients had 22 percent fewer VA specialty care visits (p<.0001) and 21 percent more Medicare-reimbursed specialty care visits (p<.0001) than hospital-based patients, but no difference in total visits (p=.80).ConclusionsMedicare-eligible VA primary care patients followed over 4 consecutive years used significant primary care and specialty care outside of VA. Community-based patients offset decreased VA use with increased service use paid by Medicare, suggesting that increasing access to VA primary care via community clinics may fragment veteran care in unintended ways. Coordination of care between VA and non-VA providers and health care systems is essential to improve the quality and continuity of care.
Project description:BackgroundDifficulties in managing symptoms of palliative care patients at home have been identified, yet there has been no investigation of agreement on symptom assessment in primary care. Lack of agreement between patients' and primary care professionals' symptom assessments may be contributing to difficulties in symptom control.AimTo investigate agreement on symptom assessments between patients at home and GPs and district nurses.Design of studyProspective, self-completed, structured symptom assessments.SettingRoutine contacts with adult palliative care patients estimated to be in their last year of life.MethodPatient and professional symptom assessments were obtained using CAMPAS-R, a comprehensive and reliable measure validated for palliative care in the community. Prevalence of reported symptoms was calculated in patient-professional pairs. Intraclass correlation techniques (ICCs) and percentage agreement were used to determine how well symptom assessments of patients and professionals agreed.ResultsAnxiety and depression were significantly more likely to be reported by professionals, and GPs over-identified nausea, vomiting and constipation. Professionals assessed emotional symptoms as more severe than patients. Agreement on scoring of physical symptoms was better, although this was at least partially due to agreement on absence of symptoms. Unlike previous reports, pain scores recorded by doctors in this study, were not significantly different from patients.ConclusionThis quick and easy to complete assessment tool, CAMPAS-R, has potential for monitoring quality of palliative care symptom control at home.
Project description:BackgroundSerious infections in children (sepsis, meningitis, pneumonia, pyelonephritis, osteomyelitis, and cellulitis) are associated with considerable mortality and morbidity. In children with an acute illness, the primary care physician uses signs and symptoms to assess the probability of a serious infection and decide on further management.AimTo analyse the diagnostic accuracy of signs and symptoms, and to create a multivariable triage instrument.Design of studyA prospective diagnostic accuracy study.SettingPrimary care in Belgium.MethodChildren aged 0-16 years with an acute illness for a maximum of 5 days were included consecutively. Signs and symptoms were recorded and compared to the final outcome of these children (a serious infection for which hospitalisation was necessary). Accuracy was analysed bivariably. Multivariable triage instruments were constructed using classification and regression tree (CART) analysis.ResultsA total of 3981 children were included in the study, of which 31 were admitted to hospital with a serious infection (0.78%). Accuracy of signs and symptoms was fairly low. Classical textbook signs (meningeal irritation impaired peripheral circulation) had high specificity. The primary classification tree consisted of five knots and had sensitivity of 96.8% (95% confidence interval [CI] = 83.3 to 99.9), specificity 88.5% (95% CI = 87.5 to 89.5), positive predictive value 6.2% (95% CI = 4.2 to 8.7), and negative predictive value 100.0% (95% CI = 99.8 to 100.0), by which a serious infection can be excluded in children testing negative on the tree. The sign paramount in all trees was the physician's statement 'something is wrong'.ConclusionSome individual signs have high specificity. A serious infection can be excluded based on a limited number of signs and symptoms.
Project description:BackgroundSocial isolation is a known predictor of mortality that disproportionately affects vulnerable populations in the USA. Although experts began to recognize it as a public health crisis prior to 2020, the novel coronavirus pandemic has accelerated recognition of social isolation as a serious threat to health and well-being.ObjectiveExamine patient experiences with screening and assistance for social isolation in primary care settings, and whether patient experiences with these activities are associated with the severity of reported social isolation.DesignCross-sectional survey conducted in 2018.ParticipantsAdults (N = 251) were recruited from 3 primary care clinics in Boston, Chicago, and San Francisco.Main measuresA modified version of the Berkman-Syme Social Network Index (SNI), endorsed by the National Academies of Sciences, Engineering, and Medicine; items to assess for prior experiences with screening and assistance for social isolation.Key resultsIn the sample population, 12.4% reported the highest levels of social isolation (SNI = 0/1), compared to 36.7%, 34.7%, and 16.3% (SNI = 2-4, respectively). Most patients had not been asked about social isolation in a healthcare setting (87.3%), despite reporting no discomfort with social isolation screening (93.9%). Neither discomfort with nor participation in prior screening for social isolation was associated with social isolation levels. Desire for assistance with social isolation (3.2%) was associated with a higher level of social isolation (AOR = 6.0, 95% CI, 1.3-28.8), as well as poor or fair health status (AOR = 9.1; 95% CI, 1.3-64.1).ConclusionsIn this study, few patients reported being screened previously for social isolation in a primary care setting, despite low levels of discomfort with screening. Providers should consider broadening social isolation screening and referral practices in healthcare settings, especially among sicker and more isolated patients who express higher levels of interest in assistance with social isolation.