Project description:ObjectiveTo compare health care utilization between Canadian and U.S. residents.Data sourcesNationally representative 2007 surveys from the Medical Expenditure Panel Survey for the United States and the Canadian Community Health Survey for Canada.Study designWe use descriptive and multivariate methods to examine differences in health care utilization rates for visits to medical providers, nurses, chiropractors, specialists, dentists, and overnight hospital stays, usual source of care, Pap smear tests, and mammograms.Principal findingsThe poor and less educated were more likely to utilize health care in Canada than in the United States. The differences were especially pronounced for having a usual source of care and for visits to providers, specialists, and dentists. Health care use for residents with high incomes and higher levels of education were not markedly different between the two countries and often higher for U.S residents. Foreign-born residents were more likely to use health care in Canada than in the United States. The descriptive results were confirmed in multivariate regressions.ConclusionsGiven the magnitude of our results, the health insurance structure in Canada might have played an important role in improving access to care for subpopulations examined in this study.
Project description:Nonalcoholic fatty liver disease (NAFLD) is a global public health problem. However, the natural history of NAFLD is incomplete. This is a retrospective cohort study of patients identified with NAFLD by diagnosis codes in a large, community?based health care delivery system. The objectives were (1) to follow patients from initial NAFLD presentation through progression to cirrhosis and/or decompensated cirrhosis to liver cancer, liver transplant, and death for up to 10 years; and (2) to conduct disease progression analysis restricted to patients with NAFLD identified as having diabetes at baseline. A total of 98,164 patients with full NAFLD and 26,488 with diabetes were divided into three baseline prevalent states: (1) no cirrhosis, (2) compensated cirrhosis, and (3) decompensated cirrhosis. In baseline patients without cirrhosis, annual rates of compensated cirrhosis, decompensated cirrhosis, and death were 0.28%, 0.31%, and 0.63% per year, respectively. With baseline compensated cirrhosis, the annual rates of decompensation and death were 2.4% and 6.7% per year. Finally, in those with decompensated cirrhosis at baseline, the death rate was 8.0% per year. In those without cirrhosis and with cirrhosis at baseline, the rates of liver cancer and death were increased approximately 2?fold in the diabetic subpopulation compared with the full NAFLD cohort. Age and comorbidities increased with increasing disease severity. Cox proportional hazards regression analysis showed that cirrhosis was strongly associated with death and liver cancer, and that diabetes was associated with a significant increase in the hazard of both liver cancer and death (2.56 [2.04?3.20] and 1.43 [1.35?1.52]), respectively. Conclusion: The findings of this community?based study further our understanding of the natural history of NAFLD and demonstrate that diabetes is a major factor in the progression of this disease.
Project description:The United States Renal Data System (USRDS) began in 1989 through US Congressional authorization under National Institutes of Health competitive contracting. Its history includes five contract periods, two of 5 years, two of 7.5 years, and the fifth, awarded in February 2014, of 5 years. Over these 25 years, USRDS reporting transitioned from basic incidence and prevalence of end-stage renal disease (ESRD), modalities, and overall survival, as well as focused special studies on dialysis, in the first two contract periods to a comprehensive assessment of aspects of care that affect morbidity and mortality in the second two periods. Beginning in 1999, the Minneapolis Medical Research Foundation investigative team transformed the USRDS into a total care reporting system including disease severity, hospitalizations, pediatric populations, prescription drug use, and chronic kidney disease and the transition to ESRD. Areas of focus included issues related to death rates in the first 4 months of treatment, sudden cardiac death, ischemic and valvular heart disease, congestive heart failure, atrial fibrillation, and infectious complications (particularly related to dialysis catheters) in hemodialysis and peritoneal dialysis patients; the burden of congestive heart failure and infectious complications in pediatric dialysis and transplant populations; and morbidity and access to care. The team documented a plateau and decline in incidence rates, a 28% decline in death rates since 2001, and changes under the 2011 Prospective Payment System with expanded bundled payments for each dialysis treatment. The team reported on Bayesian methods to calculate mortality ratios, which reduce the challenges of traditional methods, and introduced objectives under the Health People 2010 and 2020 national health care goals for kidney disease.
Project description:ImportanceThere are few population-based studies addressing trends in neonatal intensive care unit (NICU) admission and NICU patient-days, especially in the subpopulation that, by gestational age (GA) and birth weight (BW), might otherwise be able to stay in the room with their mothers.ObjectiveTo describe population-based trends in NICU admissions, NICU patient-days, readmissions, and mortality in the birth population of a large integrated health care system.Design, setting, and participantsThis cohort study was conducted using data extracted from electronic medical records at Kaiser Permanente Southern California (KPSC) health care system. Participants included all women who gave birth at KPSC hospitals and their newborns from January 1, 2010, through December 31, 2018. Data extraction was limited to data entry fields whose contents were either numbers or fixed categorical choices. Rates of NICU admission, NICU patient-days, readmission rates, and mortality rates were measured in the total population, in newborns with GA 35 weeks or greater and BW 2000 g or more (high GA and BW group), and in the remaining newborns (low GA and BW group). Admissions to the NICU and NICU patient-days were risk adjusted with a machine learning model based on demographic and clinical characteristics before NICU admission. Changes in the trends were assessed with 2-sided correlated seasonal Mann-Kendall test. Data analysis was performed in August 2019.ExposuresAdmission to the NICU and NICU patient-days among the birth cohort.Main outcomes and measuresThe primary outcomes were NICU admission and NICU patient-days in the total neonatal population and GA and BW subgroups. The secondary outcomes were readmission and mortality rates.ResultsOver the study period there were 320 340 births (mean [SD] age of mothers, 30.1 [5.7] years; mean [SD] gestational age, 38.6 [1.97] weeks; mean [SD] birth weight, 3302 [573] g). The risk-adjusted NICU admission rate decreased from a mean of 14.5% (95% CI, 14.2%-14.7%) to 10.9% (95% CI, 10.7%-11.7%) (P for trend = .002); 92% of the change was associated with changes in the care of newborns in the high GA and BW group. The number of risk-adjusted NICU patient-days per birth decreased from a mean of 1.50 patient-days (95% CI, 1.43-1.54 patient-days) to 1.40 patient-days (95% CI, 1.36-1.48 patient-days) (P for trend = .03); 70% of the change was associated with newborns in the high GA and BW group. The unadjusted 30-day readmission rates and mortality rates did not change.Conclusions and relevanceAdmission rates to the NICU and numbers of NICU patient-days decreased over the study period without an increase in readmissions or mortality. The observed decrease was associated with the high GA and BW newborn population. How much of this decrease is attributable to intercurrent health care systemwide quality improvement initiatives would require further investigation. The remaining unexplained variation suggests that further changes are also possible.
Project description:Insight into health conditions associated with death can inform healthcare policy. We aimed to cluster 27,525,663 deceased people based on the health conditions associated with death to study the associations between the health condition clusters, demographics, the recorded underlying cause and place of death. Data from all deaths in the United States registered between 2006 and 2016 from the National Vital Statistics System of the National Center for Health Statistics were analyzed. A self-organizing map (SOM) was used to create an ordered representation of the mortality data. 16 clusters based on the health conditions associated with death were found showing significant differences in socio-demographics, place, and cause of death. Most people died at old age (73.1 (18.0) years) and had multiple health conditions. Chronic ischemic heart disease was the main cause of death. Most people died in the hospital or at home. The prevalence of multiple health conditions at death requires a shift from disease-oriented towards person-centred palliative care at the end of life, including timely advance care planning. Understanding differences in population-based patterns and clusters of end-of-life experiences is an important step toward developing a strategy for implementing population-based palliative care.
Project description:BACKGROUND:Influenza causes an estimated 3000 to 50,000 deaths per year in the United States of America (US). Timely and representative data can help local, state, and national public health officials monitor and respond to outbreaks of seasonal influenza. Data from cloud-based electronic health records (EHR) and crowd-sourced influenza surveillance systems have the potential to provide complementary, near real-time estimates of influenza activity. The objectives of this paper are to compare two novel influenza-tracking systems with three traditional healthcare-based influenza surveillance systems at four spatial resolutions: national, regional, state, and city, and to determine the minimum number of participants in these systems required to produce influenza activity estimates that resemble the historical trends recorded by traditional surveillance systems. METHODS:We compared influenza activity estimates from five influenza surveillance systems: 1) patient visits for influenza-like illness (ILI) from the US Outpatient ILI Surveillance Network (ILINet), 2) virologic data from World Health Organization (WHO) Collaborating and National Respiratory and Enteric Virus Surveillance System (NREVSS) Laboratories, 3) Emergency Department (ED) syndromic surveillance from Boston, Massachusetts, 4) patient visits for ILI from EHR, and 5) reports of ILI from the crowd-sourced system, Flu Near You (FNY), by calculating correlations between these systems across four influenza seasons, 2012-16, at four different spatial resolutions in the US. For the crowd-sourced system, we also used a bootstrapping statistical approach to estimate the minimum number of reports necessary to produce a meaningful signal at a given spatial resolution. RESULTS:In general, as the spatial resolution increased, correlation values between all influenza surveillance systems decreased. Influenza-like Illness rates in geographic areas with more than 250 crowd-sourced participants or with more than 20,000 visit counts for EHR tracked government-lead estimates of influenza activity. CONCLUSIONS:With a sufficient number of reports, data from novel influenza surveillance systems can complement traditional healthcare-based systems at multiple spatial resolutions.
Project description:BACKGROUND:Ceftaroline fosamil is US Food and Drug Administration-approved for acute bacterial skin and skin structure infections and community-acquired bacterial pneumonia, but it is not known how ceftaroline is being used in real-world settings or how adverse effects (AEs) and mortality compare to clinical trials. OBJECTIVE:This study describes ceftaroline use, AEs, and mortality in US Veterans Health Administration (VHA) hospital patients. METHODS:This phase IV, population-based, epidemiologic study analyzed patients ?18 years old who received one or more ceftaroline doses within 14 days of admission to 69 VHA hospitals in 41 US states/territories from 1 October 2010 to 30 September 2014. VHA repository data were linked using unique patient identifiers. Diagnoses and AEs were determined using ICD9-CM and CSS codes. Demographics, AEs within 30 days of therapy initiation, and all-cause in-hospital mortality were summarized using descriptive statistics. RESULTS:764 Patients met study criteria. Patients were 97% male and 56% White, with a median age of 61 years and a Charlson score of 6. Diagnoses included skin (40%), sepsis (30%), osteomyelitis (25%), diabetic foot (22%), pneumonia (16%), bacteremia (11%), endocarditis (6%), meningitis (2%), and device (2%) infections. Ceftaroline was used first-line (37%), second-line (56%), and third-line or greater (7%). Patients received ceftaroline a median of 3 days after hospital admission. All-cause in-hospital mortality rates were: overall (5%), skin (2%), sepsis (9%), osteomyelitis (3%), diabetic foot (1%), pneumonia (13%), bacteremia (6%), endocarditis (11%), meningitis (6%), and device (13%). Eosinophilia, leukopenia, leukocytosis, fibromyalgia, myalgia and myositis, and polymyalgia rates were <1% each. CONCLUSIONS:Ceftaroline is used in VHA hospitals for various diagnoses. Mortality was low and comparable with rates from clinical trials. Additional studies comparing ceftaroline to other drugs used in similar situations are needed.
Project description:BackgroundInformation about telehealth versus in-office visits and how patient experience before compared to during the COVID-19 pandemic is important for healthcare planning.ObjectiveTo compare patient experience by visit type and before and during the pandemic.DesignSurvey of patients assessing ambulatory care before and during the pandemic.ParticipantsA total of 58,500 adult patients (13,928 primary care and 44,581 specialty physician visits) at a large integrated health system with 197 clinics on the west coast of the United States. The majority were female (59%), 55 or older (65%), and non-Hispanic White (55%), and had an in-office visit (87%) while 10% had a tele-video and 3% a phone visit.Main measuresConsumer Assessment of Healthcare Providers and Systems (CAHPS®) Survey 3.0 doctor communication, care coordination, access, and office staff composites; an overall rating of the doctor; and whether the patient would recommend the doctor to family and friends.Key resultsPatient experience with telehealth visits was as positive as or more positive than that with traditional office-based visits. Doctor communication on tele-video visits was viewed as slightly more positive than that of in-office or phone visits. Tele-video visits were also slightly more positive than in-office visits for care coordination, overall rating of the doctor, and willingness to recommend to family and friends. Office staff were viewed less positively on the phone than tele-video or in-office visits. Patient experience was similar before and during the COVID-19 pandemic (e.g., on a 0-100 possible range with a higher score being better, doctor communication was 94.4 before and 94.9 during).ConclusionsThe positive experiences with telehealth, especially tele-video, may be due to patient appreciation of efforts made to maintain access, the focused nature of telehealth visits, and help by staff for navigation technical issues. Lessons learned about delivering responsive telehealth care can be used to ensure high-quality care after the pandemic.
Project description:Introduction:Guideline-recommended surveillance reduces likelihood of colorectal cancer (CRC) recurrence, yet surveillance rates are low in the United States (US). Little is known about CRC surveillance rates among patients without health insurance and their primary care clinicians/oncologists' attitudes towards surveillance care. Methods:A retrospective study of 205 patients diagnosed with Stage I-III CRC from 2008-2010 was conducted in an integrated system with a network of providers delivering care to patients lacking health insurance coverage. Surveillance patterns were characterized from medical records and logistic regression models examined correlates of guideline-concordant surveillance. 41 Parkland primary care physicians (PCPs) and 24 oncologists completed surveys to assess their attitudes and practices regarding CRC surveillance. Results:38% of CRC patients received guideline-concordant surveillance; those with early stage cancers were less likely to receive surveillance (OR=0.35; 95 CI: 0.14, 0.87). PCPs and oncologists differed markedly on who is responsible for cancer surveillance care. 77% of oncologists responded that PCPs evaluated patients for cancer recurrence while 76% of PCPs responded that these services were either ordered by oncologists or shared with PCPs. 67% of oncologists said they rarely provide a treatment and surveillance care plan to survivors and over half said that they infrequently communicate with patients' other physicians about who will follow patients for their cancer and other medical issues. Discussion:Care coordination between PCP and oncologist is needed to improve CRC surveillance. New models of shared care clearly delineating roles for oncologists and PCPs are needed to improve CRC survivorship care.
Project description:BackgroundCare coordination is a key strategy used to improve health outcomes and efficiency, yet there are limited examples in dentistry. A large dental accountable care organization piloted care coordination by retraining existing administrative staff to coordinate the care of high-risk patients. Following the pilot's success, a formal "dental care advocate" (DCA) role was integrated system-wide. The goal of this new role is to improve care, patient engagement, and health outcomes while integrating staff into the clinical care team. We aim to describe the process of DCA role implementation and assess staff and clinician perceptions about the role pre- and post-implementation.MethodsGuided by the Consolidated Framework for Implementation Research, semi-structured interviews with clinical and operational administrative staff and observation at the company-wide training session were combined with pre- and post-implementation electronic surveys. Descriptive statistics and mean scores were tested for significance between each survey sample (t-tests), and qualitative data were thematically analyzed.ResultsWith preliminary evidence from the pilot and strong executive support, a dedicated leadership team executed a stepwise rollout of the DCA role over 6 months. Success was facilitated by an organizational culture of frequent interventions deployed rapidly through a centralized system, along with supportive buy-in from managerial teams and high staff acceptance and enthusiasm for the DCA role before implementation. Following implementation, significant changes in attitudes and beliefs about the role were measured, though managers held stronger positive impressions than DCAs. DCAs reported high confidence in new skills and dental knowledge post-implementation, including motivational interviewing and the ability to confidently answer patients' questions about their oral health. Overall, the fast-paced implementation of this new role was well received, although consistent and significant differences in mean attitudes between managers and DCAs indicate more work to fine-tune the role is needed.ConclusionsSuccessful implementation of the new DCA role was facilitated by a strong organizational commitment to team-based dentistry and positive impressions of care coordination among staff and managers. Upskilling existing administrative staff with the necessary training to manage some high-risk patient needs is one method that can be used to implement care coordination efforts in dentistry.