Health Care Contacts Research Articles

The Impact of Socioeconomic Factors on 90-day Postoperative Readmissions and Cost in Shoulder Arthroplasty Patients

Understanding the impact of Social Drivers of Health (SDOH) on shoulder arthroplasty is pivotal for the development of equitable value-based payment models that enhance the quality of patient care. This investigation aims to understand the influence of Area Deprivation Index (ADI) on hospital admissions, readmissions, and associated costs post-shoulder arthroplasty. We conducted an analysis using US Medicare claims data from 2019 to 2021, identifying patients who received shoulder arthroplasty in either an inpatient or outpatient setting using Current Procedural Terminology (CPT) codes. Our primary outcomes were 90-day unplanned readmissions and post-procedure 90-day care costs. The ADI was our primary exposure variable, calculated at the census block level. Our analysis adjusted for multiple factors using a stepwise modeling approach including patient demographics, 29 Elixhauser comorbid conditions, Medicaid-dual eligibility, and end-stage renal disease status using logistic regression models. A total of 145,435 patients were included in our study. The average age of patients in our cohort was 74.5 years old, with 59.5% being female. Patients in the high ADI group had a higher readmission rate than the lowest ADI group (8.5% vs. 6.0%, p<0.001).When controlling for confounding factors, there was an indepdentent association between high ADI and readmission (OR: 1.28 [95% CI 1.12, 1.46]). Overall, we saw a dose-dependent relationship between ADI and readmission, with the association growing stronger as ADI increased. Conversely, we found a negative association with ADI and high-costs. (High ADI Group OR: 0.80 [95% CI 0.70, 0.91]). Patients in the high SES group had higher healthcare contact days during the 90-day follow-up period, with a median of 16 visits (IQR 8, 23), compared to 13 visits (IQR 6, 22) in the middle SES group and 10 visits (IQR 5, 20) in the low SES group (p<0.001). Socioeconomic disparities significantly influence the outcomes of primary shoulder arthroplasty, as indicated by higher readmission rates for low SES patients. Notably, our analysis shows a strong, independent association between ADI and readmission. Moreover, patients with higher SES incurred greater costs within a 90-day period potentially due to increased resource utilization.

Cost differences between oral anticoagulation therapies in atrial fibrillation patients

Abstract Background Direct oral anticoagulants (DOACs) have largely replaced warfarin as the primary choice of oral anticoagulation (OAC) in atrial fibrillation (AF) patients. This study uses a nationwide registry data set to compare the health and social care costs of AF patients using different OAC therapies. We studied how these costs were distributed among different care services in the year following AF onset and how the costs develop in time before and after AF diagnosis. Methods This study is a part of the Finnish AntiCoagulation in Atrial Fibrillation (FinACAF) research project, which includes data on patients with AF, combining registry data on primary and secondary care services as well as social services, drug purchases and laboratory data. We included all new-onset AF patients from 2011 to 2017 in Finland with an indication for OAC treatment. Patients were divided based on their first OAC purchase. Time in therapeutic range (TTR) values were assessed for warfarin patients, and they were divided into quartiles based on their TTR value. Standardized costs were determined for different health and social care contacts, accounting for hospital care, primary and ambulatory care, and long-term care. Drug costs were acquired from the Reimbursement for Prescription Medicines registry. Results A total of 130,745 patients (66,610 on warfarin, 32,996 on DOACs) were included. First-year total costs after onset of AF were €10,412 for rivaroxaban (n=13,320), €12,631 for apixaban (n=11,886), €10,706 for dabigatran (n=7,514) and €10,689 for edoxaban (n=366). Costs of care clustered near the diagnosis of AF (Figure 1). Costs for warfarin patients increased inversely with TTR, ranging from €10,945 in the highest TTR quartile (TTR over 82%) to €21,387 in the lowest (TTR under 57%). Average first-year costs for warfarin patients were €15,689, higher than DOAC patients by €3,058-€5,277 (Figure 2). Patients without any OAC had the highest first-year costs, €17,898. Patients with high risk of stroke had higher total costs both in patients using DOACS (€7,271 for patients with a CHA2DS2VA score of 1 vs €11,947 for patients with CHA2DS2VA 2+) and warfarin (€9,933 for CHA2DS2VA 1 vs €16,354 for CHA2DS2VA 2+). Drug costs averaged €1,541 for rivaroxaban, €1,659 for apixaban, €1,495 for dabigatran and €1,540 for edoxaban, and €986 warfarin users. Hospital care was the largest cost driver with 64% of total costs across the whole cohort, followed by primary care (19%), drug purchases (7%), social service costs (6%) and reimbursements for travel and private care (4%). Conclusions DOACs were superior to warfarin in a broad range of social and healthcare cost measures despite higher drug expenses. Patients on warfarin with low TTR and patients without any OAC had the highest cost of care.

The effect of team-model on healthcare usage and treatment levels among people with type 2 diabetes

Abstract Background In North Karelia Finland, a team-based service model was implemented in some municipalities’ primary healthcare (PHC) centers during 2020. In this team-model, a healthcare customer contacts a nurse who initiates the service process immediately. Nurses can also consult or direct customers to other healthcare professionals and arrange physical appointments if needed. The aims of the model are improved customer and personnel experience and satisfaction, and improved quality and effectiveness of care. We assess the effect of this team-model on treatment levels, measurement activity, and health care usage among patients with type 2 diabetes (T2D). Methods Patients with T2D were identified using the ICD-10 code E11 from the regional electronic health records. The data include all patients diagnosed by 2016 who were alive and residing in North Karelia in 2023 (N = 6312). Diabetes-related contacts with nurses or doctors in outpatient PHC and specialized healthcare (SHC) were considered, along with measurement activity and levels of glycated hemoglobin (HbA1c) and low-density lipoproteins (LDL) between the years 2017 and 2022. Annual differences between areas were analyzed using logistic and linear mixed models. Results In 2017, patients’ mean age was 66 and age range 20-93. The proportion of men was 55% and 45% resided in team-model areas in 2023. The team-model increased T2D-related outpatient PHC remote contact with nurses for a couple of years. But eventually they decreased to a lower level than before. Additionally, the team-model reduced the number of other contacts. An increased difference between areas in measurement activity on HbA1c and LDL levels was also observed. But the difference between areas in proportion of those who achieved treatment targets stayed unchanged. Conclusions In the long-term, the team-model reduced the number of T2D-related contacts and increased the measurement activity of HbA1c and LDL, but it had no effect on treatment levels. Key messages • Team-based service models might potentially reduce service use in the long term. • More research and evidence are needed on the effectiveness and cost-effectiveness of team-based service models.

Quo vadis, the leading arrhythmia? Projecting the prevalence of atrial fibrillation up to 2070

Abstract Introduction The prevalence of atrial fibrillation (AF) is strongly associated with age, and with increasing life expectancy worldwide, the number of AF patients has been steadily rising. However, long-term projections of AF prevalence are scarse. Purpose To predict the prevalence and the number of patients with AF in Finland from 2021 until 2070. Methods In the Finnish Anticoagulation in Atrial Fibrillation (FinACAF) study we gathered data of all AF patients from all national health care registers (hospitalizations and outpatient specialist visits, primary health care contacts, and reimbursements for prescription medicines) from 2004 to 2018. The prevalence of AF on December 31st 2018 was calculated as the number of patients alive with AF divided by the number of Finnish population. We utilized age- and sex-specific prevalences on year 2018 to predict the prevalence by sex and 5-year age groups, using a 1-year time interval of AF in Finland between years 2021 and 2070. We obtained the projection for population structure in Finland between 2021 and 2070 from Statistics Finland. The prevalences in 2070 are provided for population ≥20 years as well as for populations ≥65 years, ≥75 years, and ≥85 years. Results In 2018, a total of 226 847 patients with the diagnosis of AF were documented in Finland. The number of adult patients with AF is predicted to increase strongly up to 2040 with a slower increase from 2040 to 2060, and again a faster increase is estimated from 2060 up to our final estimation of 2070. In total, the number of AF patients will increase with 60% until the year 2070. In 2021, prevalence of AF was 5.5% in adults and prevalence rate will increase to 8.6% in 2070. Proportion of men will be from 54.7 % to 56.0%, and the prevalence will be higher in men compared to women in all age groups with the exception in the age group ≥85 years. Among the population ≥65 years the prevalence in 2070 will be 19.7 %, and in the elderly, ≥75 years, the prevalence of AF will 25.6% and in the oldest, ≥85 years, 31.7%. In 2070 73.3 % of patients with AF are over 75 years, and 38.8% are over 85 years old. Conclusions Drawing upon extensive nationwide data covering all levels of care, our estimates indicate a continual rise in the number of AF patients in Finland until the year 2070. Notably, throughout the projected period, there is a discernible increase in the proportion of older and the oldest patients, highlighting the demographic shift in AF prevalence.Patients with AF 2021-2070 in Finland

Variations in access to acute care services by immigrant background and sociodemographic factors

Abstract Background The Emergency Medical Communication Center (EMCC) plays a vital role in the medical emergency response system by triaging contacts, notifying local physicians, and providing medical advice. The utilization of acute care services and the subsequent care pathway by individuals with immigrant background remains unclear in the Norwegian context. This study aims to investigate whether disparities exist in the acute care pathway for patients with different sociodemographic background who use ambulance services. Methods We examined all code red ambulance dispatches for life-threatening emergencies in 2021 in Norway. These ambulance dispatches were linked to primary health care and specialist health care contacts to trace patient pathways and outcomes. Statistical analyses were conducted using linear regression models, adjusted for patient characteristics, such as immigrant background, age, sex, municipality of residence, living condition, socioeconomic status, comorbidity and cause of emergency contact. Results Preliminary crude findings indicate that patients with immigrant background are overrepresented in the groups receiving acute primary care only and underrepresented in the groups transferred directly to specialist health care, within 8 hours after ambulance arrival at the patients’ location. Conclusions The preliminary results suggest challenges for the EMCC in triaging patients with immigrant background, but further research is needed to explore potential systematic differences. This study aims to improve understanding of disparities in access to acute care and inform targeted interventions to optimize resource allocation in emergency departments. Key messages • This study may improve understanding of disparities in access to acute care in Norway. • This study can inform targeted interventions to improve resource allocation in emergency departments.

Real world data on SVT ablation in Denmark Higher risk of need for reablation in todays patient population a Nationwide registry based Danish study

Abstract Introduction Supraventricular tachycardias (SVTs) are a common reason for healthcare contacts and can have significant impact on patient’s quality of life. Today, ablation therapy is considered the treatment of choice for many cardiac tachyarrhythmias, and it is increasingly utilized to treat SVT-patients with chronic symptoms. Ablation therapy for SVTs is considered a safe procedure with high periprocedural success rates. However, recent studies on today’s patient population have shown a tendency towards higher age and more comorbidity, which might affect these success rates. Therefore, there is a need to explore more real-world data on long-term outcomes of catheter ablations in today’s population. Purpose To examine the long-term success rates of ablation therapy by investigating risk of reablation in patients treated for either an accessory pathway (AP), atrioventricular nodal re-entry tachycardia (AVNRT) or ectopic atrial tachycardia (EAT). Methods Using Danish nationwide registries, patients of 18 years or older who underwent RFA for AP, AVNRT or EAT between January 1st 2010 and January 1st 2019 were included. Comorbidities and use of antiarrhythmic drugs were analyzed. The cumulative incidences of reablation for either AP, AVNRT or EAT were estimated at 5-year follow-up. Results Figure 1 shows the baseline characteristics of the study population. A total of 5.905 patients were included in the study, with a median age of 52 [38, 65], and 47% were male. Among them, the AP group comprised 1.575 patients, with a mean age of 42 [29, 55], and 61% were male. The AVNRT group consisted of 3.598 patients, with a mean age of 56 [43, 67], and 42% were male. In the EAT group, there were 732 patients, with a mean age of 57 [42, 67], and 44% were male. The comorbidity burden was generelly higher in EAT patients, who also had the highest use of antiarrhythmic drugs. Figure 2 shows the 5-year cumulative incidence of reablation for AP, AVNRT or EAT-patients. Risk of reablation after 5 years was 12%, 5% and 12% for AP-, AVNRT- and EAT patients respectively. After 1 year the risk was 9%, 3% and 9% for AP-, AVNRT- and EAT patients respectively. Conclusion Despite the generally safe nature of ablation therapy with high periprocedural success rates, our findings highlight a notable risk of reablation, particularly for AP and EAT patients, after 5 years of follow-up.Baseline Characteristics5year cumulative incidence of reablation

64 Respiratory outcomes by five years of age among children born preterm: A population-based study using health services data

Abstract Background While neonatal care advancements have led to increased survival of preterm infants, many experience ongoing respiratory complications. Objectives Healthcare administrative data offers a comprehensive measure of neonatal outcomes. Our study used population-based data to describe rates of healthcare contacts for respiratory disease among children born preterm. Design/Methods A retrospective cohort of infants born in British Columbia between 2004-2014 was identified using a provincial birth registry. By linking to population-based healthcare data, we captured population demographics, birth data, and healthcare visits for respiratory causes [outpatient visits, hospitalizations, and intensive care (ICU) admissions] up to 5 years of age. The rate of healthcare visits due to asthma, bronchiolitis, and pneumonia were compared between preterm (22-36 weeks) and term/post-date infants (37-44 weeks GA) using Poisson regression. Results Children born at term (n=413,140) were compared to children born at 34-36 week GA (n=33,227), 28-33 week GA (n=8362), and 22-27 week GA (n=1231). Compared to term infants, rates of hospitalizations and ICU admission for all respiratory causes were higher among children born preterm. Children born 22-27 weeks GA had the highest rates of hospitalization for asthma [rate ratio (RR) 9.4, 95% CI 7.9-11.1], bronchiolitis (RR 10.5, 95% CI 9.3-11.8) and pneumonia (RR 15.9, 95% CI 14.3-17.7). Rates of ICU admission for asthma (RR 27.1, 95% CI 17.2-40.4) and pneumonia (RR 58.1, 95% CI 46.6-71.7) were highest among 22-27 week GA infants. Increased rates persist among children born 34-36 weeks GA, with higher rates of hospitalization for asthma (RR 1.8, 95% CI 1.6-1.9), bronchiolitis (RR 2.1, 95% CI 2.0-2.2), and pneumonia (RR 1.8, 95% CI 1.7-2.0) compared to term infants. Conclusion Preterm infants experience significantly higher rates of outpatient visits, hospitalizations, and ICU admissions for respiratory disease compared to term infants. Healthcare utilization, including ICU admissions, increased with decreasing gestational age. Of note, increased rates of respiratory disease were also found among infants born 34-36 weeks GA. Our study is the first to use population based data to describe rates of healthcare contacts for respiratory disease among preterm infants, providing insight to long-term respiratory disease burden.

Prehospital management and outcomes of patients calling with chest pain as the main complaint

BackgroundChest pain is a frequent cause of health care contacts. We examined the prehospital management, in-hospital discharge diagnoses, and mortality of patients calling a non-emergency and emergency medical service with chest pain.MethodsThe Copenhagen Emergency Medical Services (EMS) consists of a non-emergency medical helpline (calls to 1813) and emergency medical service (1-1-2 calls). We included all calls to the Copenhagen EMS with a primary complaint of chest pain from 2014 to 2018 in Copenhagen, Denmark. The outcomes were: emergency response (ambulance dispatch, other transports/self-transport/home visits, self-care, and unknown/cancelled response), in-hospital diagnosis within 7 days after the call (cardiovascular, pulmonary, or other non-cardiovascular/pulmonary) and 30-day mortality.ResultsAmong 4,834,071 calls, 91,671 were registered with chest pain at the Copenhagen EMS. The first call for each patient was kept for analysis (n = 66,762). In total, 91.4% were referred to the hospital, 75.8% (n = 50,627) received an ambulance and 15.6% (n = 10,383) received other transport/self-transport/home visits. Overall, 26.9% (n = 17,937) were diagnosed with a cardiovascular disease, 5.2% (n = 3,490) a pulmonary disease, 52.8% (n = 35.242) other non-cardiovascular/pulmonary disease, and 15.1% (n = 10,093) received no diagnosis. Among ambulance-transported patients, the prevalence of cardiovascular discharge diagnoses was higher (32.1%) and fewer received no diagnosis (11.0%). Cardiovascular disease was less prevalent among patients not transported by ambulance and patients not referred to hospital at all (2-13.4%) and in patients ≤ 40 years of age (< 10%). The 30-day mortality was below 5% regardless of diagnosis (0.6-4%), and 65,704 (98.4%) were still alive 30 days later.ConclusionNearly all patients calling with chest pain were referred for treatment. Among ambulance-transported patients, around half of the patients did not have a cardiovascular/pulmonary disease. While current practices appear reasonable, improved differentiation of chest pain patients in telephone consultations could potentially both improve the treatment and management of these patients and reduce the in-hospital burden of non-acute chest pain consultations.

Natural history of gait patterns in untreated children with bilateral cerebral palsy in a low-income country setting.

To assess a group of ambulant, untreated children with bilateral spastic cerebral palsy, in a resource-poor setting, who had never been assessed by a health care professional or received any treatment, to help establish the natural history of gait patterns in this condition. At CURE Children's Hospital of Ethiopia, 46 children with no prior health care contact were assessed in a cross-sectional cohort study, through a detailed history, clinical examination, and instrumented gait analysis using a motion capture system. There was a large spread in the data reflecting the high natural heterogeneity in this population. The severity of gait pathology did not correlate with age; however, a small but significant reduction in sagittal hip and knee range of motion with increasing age was observed. There was also a trend towards reduced passive knee extension with age. Improved understanding of the aspects of gait that are likely to naturally improve, deteriorate, or remain stable over time helps guide treatment decisions in this population.

Transient Ischaemic attack Emergency Referral (TIER): randomised feasibility trial results

BackgroundEarly assessment of patients with suspected transient ischaemic attack (TIA) is crucial to provision of effective care, including initiation of preventive therapies and identification of stroke mimics. Many patients with...

Economic and societal burden of myasthenia gravis in Denmark, Finland, and Sweden: A population-based registry study.

Health care resource utilization (HCRU) and the economic burden of myasthenia gravis (MG) are significant, but existing studies rarely include comprehensive nationwide data. We examined HCRU and direct and indirect costs associated with MG overall and by disease severity in Denmark, Finland, and Sweden. Data were collected retrospectively from nationwide health and social care registries. All individuals ≥18 years of age with ≥2 International Classification of Diseases diagnoses of MG between 2000 and 2020 were included. HCRU, direct (inpatient and outpatient contacts, medication) and indirect costs (early retirement, sick leave, death), and associated factors were calculated. The full study cohort comprised 8622 people with MG (pwMG). Mean annual numbers of all-cause secondary health care contacts for pwMG were 3.4 (SD = 8.3), 7.0 (SD = 12.3), and 2.9 (SD = 3.9), with mean annual total costs of €12,185, €9036, and €5997 per person in Denmark, Finland, and Sweden, respectively. Inpatient periods, involving 77%-89% of study participants in the three countries, contributed most to direct costs, whereas the majority of indirect costs resulted from early retirement in Denmark and Finland, and sick leave periods in Sweden. Mean annual total costs were highest with very severe MG (€19,570-€33,495 per person across the three countries). Female sex and comorbidities, such as mental and behavioral disorders and severe infections, were also associated with higher total costs. This population-based study shows a high level of HCRU and a significant direct and indirect economic burden of MG across three Nordic countries, especially for severe forms of MG.

Comprehensive management of gestational diabetes mellitus: practical efficacy of exercise therapy and sustained intervention strategies.

Gestational Diabetes Mellitus (GDM) affects 14.0% of pregnancies globally, with a 35% post-pregnancy relapse and a 60% risk of Type 2 Diabetes (T2D) within 5-10 years. Challenges in long-term management, especially postpartum, include adherence and follow-up difficulties. This study, based on a systematic review and meta-analysis, examined the practical effects of exercise therapy in the prevention, treatment, and prevention of progression from Gestational Diabetes Mellitus (GDM) to Type 2 Diabetes (T2D). Relevant research and clinical practices were retrieved from six major databases (PubMed, Scopus, Web of Science, Cochrane Library, MEDLINE, Science Direct). After analyzing the intervention effects of exercise therapy at different stages, factors favorably influencing the effectiveness of exercise intervention were identified during the more effective stages. Finally, a long-term and efficient exercise implementation plan for the comprehensive management of GDM was proposed. In GDM prevention, exercise reduced the post-intervention risk by 37% compared to the control group (Relative Risk (RR)=0.63; 95% Confidence Interval (CI): 0.54 to 0.72; p=0.01). Studies on GDM treatment showed improved glucose control in the exercise group post-intervention (Mean Difference (MD)=-0.10; 95% CI: -0.16 to -0.04; p=0.04/MD=-0.27; 95% CI: -0.36 to -0.19; p<0.0001). However, exercise therapy didn't significantly affect the incidence of T2D post-GDM (RR=0.88; 95% CI: 0.69 to 1.11; p=0.39) due to challenges in quantified exercise prescriptions and the complexity of postpartum programs. To enhance exercise therapy effectiveness in GDM management, the study recommends adopting an integrated model emphasizing personalized pregnancy plans, postpartum strategies, and long-term support. Leveraging frequent healthcare contact during pregnancy can establish and sustain exercise habits, fostering a lifelong pattern. While the study acknowledges limitations, this approach holds potential for improving glycemic metabolism and developing healthy exercise habits in subsequent generations. Future research should include longer follow-ups to validate the practical efficacy of this approach in preventing T2D after GDM. https://www.crd.york.ac.uk/prospero, identifier CRD42023463617.

Counting the days: Exploring healthcare contact days during episodes of cancer care.

233 Background: Cancer diagnosis and treatment brings about not only emotional upheavals but also logistical hurdles of navigating a fragmented healthcare system. Little is known about the frequency of healthcare contact for cancer patients and its implications. Healthcare contact days, defined as the number of days a patient spends in direct contact with healthcare professionals outside of home, measures the patient’s interaction with the healthcare system. Methods: Using historical claims data (Part A institutional and Part B ambulatory claims) from the Enhancing Oncology Model (EOM) for 12 practices in The US Oncology Network covering the period between January 2019 to June 2022, we derived healthcare contact days per episode (6-month care periods initiating with the administration of chemotherapy), counting each unique date once. When patients encountered multiple care settings on a single date, the following hierarchy was used: inpatient (IP) &gt; emergency room (ER) &gt; skilled nursing facility (SNF)&gt; hospice &gt; ambulatory care. We further counted contact days for different services conducted during the ambulatory visits. Results: For the 75,246 episodes, an average of 31.9 days per episode (1 in every 6 days) were spent in healthcare contact. Cancer patients’ healthcare contact was predominantly within ambulatory care, and visits with oncology providers exceeded that with all other specialties. ER and IP visits, generally a representation of acute care events, accounted for &lt;10% of the contact days. Conclusions: During cancer treatment, patients spend approximately one-sixth of their time in healthcare contact. The optimal frequency of contact, pattern of primary care support, care of comorbidities, and the interrelationship between acute care and clinician visits are apt for further exploration. Healthcare contact days can reflect different care delivery approaches between providers and may be a metric to assess both healthcare efficiency and accessibility. Understanding caregiver burden and social disparities associated with high contact days offers an opportunity to improve care coordination and streamline healthcare encounters while balancing patients’ care needs. CMMI Disclaimer: The statements contained in this document are solely those of the authors and do not necessarily reflect the views or policies of CMS. The authors assume responsibility for the accuracy and completeness of the information contained in this document. Healthcare contact days. Mean Percentiles 5 th -95 th Per Episode Healthcare Contact Days 31.9 10-65 Ambulatory Visits* 8-55 Chemotherapy 6.6 0-18 Imaging 2.7 0-7 Procedure 1.8 0-7 Radiation 2.4 0-23 Testing 11.8 3-25 Clinician Oncology 6 1-14 Other Specialties 3.4 0-10 Primary Care 2.8 0-8 Facility Visits ER 0.4 0-2 Hospice (Facility) 0.1 0-0 IP 2.7 0-16 SNF 0.8 0-0 *Ambulatory visits days are not mutually exclusive.

Health care contact days in older adults enrolled in SWOG cancer clinical trials.

64 Background: Health care contact days—days with health care contact outside the home—are a measure of how much of a patient’s life is consumed by health care. This number of contact days are especially relevant for older adults with advanced cancer facing limited survival. One concern is that patients with different sociodemographic and clinical backgrounds may be at particular risk of increased contact days. Thus, there is a critical need to understand factors associated with contact days. Methods: We linked data from 6 SWOG trials in advanced cancer to Medicare claims data. These trials encompassed a variety of primary cancer types [prostate (S9916, S0421), lung (S0003, S0124, S0819), and pancreas (S0205)]. Health care contact days (days with ambulatory, emergency department, inpatient, or facility-based care) in the first 12 months were calculated using Medicare database files. A day with &gt;1 source of contact counted as 1. We examined sociodemographic (age, race, ethnicity, sex, insurance status, rurality, area deprivation index) and clinical (prognostic risk, cancer type, performance status) predictors of contact days, using negative binomial regression, with a log link and clustering by study ID, including an offset variable for duration of observation. We examined predictors in univariate and multivariable analysis. We report relative risk (RRs) estimates and 95% CI. Results: We included 1,429 patients (median age, 71 years, 7.6% Black, 2.7% Hispanic, 21.4% female, and 23.5% rural residence). Of these, 741 (51.9%) patients died in the first year. The median number of contact days was 48, out of a median of 350 days of observation. At a trial level, median percentage of contact days ranged from 14% (prostate) to 27% (lung). The most common sources of contact days were ambulatory clinician visits (median=17), tests (median=12), and treatments (median=11). In multivariable regression, factors associated with increased contact days included increasing age (per year, RR=1.02 [1.01-1.02], p&lt;.001), insurance status (Medicare alone or with Private or Medicaid insurance, vs Military/VA, none, or other insurance, RR=2.47 [2.16-2.83], p&lt;.001), higher prognostic risk score (RR=1.14 [1.04-1.25], p=.004), and type of cancer (pancreas, RR=1.69 [1.51-1.89] and lung, RR=1.69 [1.54-1.85] vs prostate, p&lt;.001 for both). Conclusions: This novel linkage of trial and claims data to evaluate contact days and associated factors found that older trial participants spent up to one in four days with health care contact. Ambulatory appointments were the most common source of contact days. Encouragingly, rural residence and neighborhood deprivation were not associated with contact days, increasing confidence that participants from diverse geographic areas may receive equitable care in trials. These data highlight the frequency of contact days for trial participants, while identifying factors to consider when benchmarking contact days.

The time toxicity efficacy-effectiveness gap: A population-based study of stage III/IV non-small cell lung cancer (NSCLC) in Ontario, Canada.

133 Background: While patients enrolled in clinical trials tend to have superior cancer-specific outcomes relative to those in routine practice (the ‘’efficacy-effectiveness gap’’), it is unknown if this gap extends to time toxicity. While trial protocols can impose additional contact days, trial participants also tend to be healthier, perhaps needing fewer contact days. We sought to evaluate the time toxicity efficacy-effectiveness gap among patients with stage III/IV NSCLC. Methods: We created a population-based, retrospective cohort with health administrative data covering the population of Ontario, Canada (15.5 million), of adults aged ≥20 years diagnosed with stage III/IV NSCLC in 2014-2017 and died in 2014-2019, receiving palliative systemic anti-cancer drug(s) as part of a trial. We matched patients 1:1 to those who received the same drug(s) in the real world (post-approval) in the same line of treatment, and received the same total lines of therapy. We calculated contact days (days with healthcare contact outside the home) from diagnosis to death and measured overall survival. We plotted, normalized, and fitted with cubic splines the weekly percentage of contact days to obtain trajectories over the disease course. Results: We identified and matched 55 trial participants to 55 patients in routine practice. Trial participants were younger (median age, 62 vs 66 years), had fewer co-morbidities (hypertension, 35% vs 53%), and more often had de novo metastatic disease (82% vs 67%). Median lines of therapy were 2. Systemic therapy regimens most commonly included immunotherapy (n=41, 75%). Trial participants initiated systemic therapy sooner than in routine practice (median 2.0 vs 2.4 months). Trial participants had a longer overall survival (median 13.8 vs 11.6 months) and a similar number of contact days (median 79 vs 78 days). The percentage of contact days was lower in trial participants due to longer survival (median 19% vs 22%). Trial participants had similar acute/assisted institutional care contact days (median 19 vs 18 days), but more days with laboratory tests (median 23 vs 17 days), systemic therapy (median 9 vs 6 days), and radiotherapy visits (median 15 vs 11 days). Normalized trajectories for both cohorts followed a ‘’U-shape’’; the difference between the maximal peak and trough was smaller in trial participants. Conclusions: We describe a novel efficacy-effectiveness gap in time toxicity, in addition to the previously established efficacy-effectiveness gap in overall survival. Encouragingly, trial participants did not experience delays in treatment, and initiated treatments sooner than in routine practice. Among trial participants, the higher number of contact days for tests, and the shallower U-shaped curve (indicating frequent visits even when relatively well) indicate potential opportunities to decrease trial-related time toxicity.

The impact of COVID-19 on time toxicity in patients with advanced cancer.

267 Background: The COVID-19 pandemic necessitated the rapid adoption of telemedicine but little is known about whether the changes in care delivery has led to differences in time toxicity for patients with advanced cancer. This study examines the impact of the pandemic on time toxicity, defined as the time burden of interacting with the healthcare system, by comparing healthcare contact days between pre-COVID and post-COVID periods. Methods: A retrospective cohort study was performed on patients with advanced (stage 4) cancer who died within one year of diagnosis at Kaiser Permanente Northern California between January 1, 2015 and June 30, 2023. Time toxicity was defined as the percentage of healthcare contact days over the course of survival period between cancer diagnosis and death (contact days/survival days). We included outpatient days (imaging, labs, treatment, provider visits), inpatient stays (emergency department, acute inpatient, non-acute institutional stays), and in-home days (in-home care, virtual care, home hospice). Differences between pre-COVID (diagnosed and died before March 1, 2020) and post-COVID (diagnosed after March 1, 2020) periods were analyzed using Wilcoxon tests. Results: The cohort included 9643 patients, with 6558 pre-COVID and 3085 post-COVID. Median age at diagnosis was 74 years, and the cohort was 46.9% female, largely white (64.5%), with a high comorbidity score (median Elixhauser score: 4). Post-COVID, there was an increase in institutional stay (8.7% vs. 9.3%) and outpatient service (imaging and labs) (4.4% vs. 3.1%), while in-person outpatient visits decreased (5.9% vs. 8.7%, p&lt;0.0001). Additionally, in-home days increased (25.0% vs. 20.8%), with a significant rise in in-home virtual care (3.9% vs. 1.8%, all p&lt;0.01). Conclusions: The COVID-19 pandemic led to notable shifts in healthcare utilization for patients with advanced cancer in the last year of life. The increase in telehealth and in-home services in the post-COVID era was accompanied by a slight increase in emergency and ancillary services. Further understanding patient experiences around these shifts is crucial for optimizing care and managing time toxicity in the evolving healthcare landscape. Description of outcomes pre and post-COVID-19 pandemic. Total Pre-COVID Post-COVID P-value Survival Days, median 86.0 84.0 89.0 0.02 Percentage of Contact, median (interquartile range) Comprehensive Contact 63.3 (41.0-92.0) 62.5 (40.7-91.0) 65.2 (41.7-94.1) 0.01 Institutional stay 9.0 (2.7-26.2) 8.7 (2.7-25.9) 9.3 (2.9-26.8) 0.11 Outpatient 12.4 (5.3-19.8) 12.9 (5.6-20.6) 11.2 (4.8-18.1) &lt;.001 Outpatient visit 7.7 (2.8-13.4) 8.7 (3.5-14.6) 5.9 (1.6-10.7) &lt;.0001 Outpatient service 3.5 (0.8-6.3) 3.1 (0.4-5.8) 4.4 (1.5-7.1) &lt;.0001 In-home 22.2 (7.4-50.0) 20.8 (6.0-48.4) 25.0 (10.4-51.7) &lt;.001 In-home care 18.1 (1.7-46.6) 17.4 (1.2-46.2) 19.2 (2.4-47.2) 0.03 In-home virtual care 2.2 (0.0-4.8) 1.8 (0.0-3.8) 3.9 (0.7-7.0) &lt;.0001

Interventions on informal healthcare providers to improve the delivery of healthcare services in low-and middle-income countries: a systematic review.

Informal healthcare providers (IHCPs) play a big role in health systems in low-and middle-income countries (LMICs) and are often the first point of contact for healthcare in rural and underserved areas where formal healthcare infrastructure is insufficient or absent. This study was performed to systematically review the literature on interventions targeting IHCPs in improving the delivery of healthcare services in LMICs. PubMed, Embase, and Cochrane CENTRAL databases were searched for studies that assessed any type of intervention among IHCPs to improve the delivery of healthcare services in any LMIC. Outcomes included changes in knowledge, attitude, and reported practice of appropriate case diagnosis and management; improved referral services; effective contraceptive use; and medication appropriateness (PROSPERO ID: CRD42024521739). A total of 7,255 studies were screened and 38 were included. Most of the studies were conducted in Africa and Asia. The IHCPs who were trained included medicine sellers, community health workers/traditional healers, and traditional birth attendants. The main intervention used was educational programs in the form of training. The other interventions were health services, policy and guidelines, and community-based interventions. Most of the interventions were multi-faceted. The disease/service areas targeted were mainly maternal and child health, sexually transmitted diseases, common infectious diseases, medicine use/dispensing practices, and contraception. The outcomes that showed improvements were knowledge, attitude, and reported practice; diagnosis and case management; improved referral services; contraceptive uses; and medication appropriateness. Around one-fourth of the studies reported negative results. The certainty of evidence generated (GRADE criteria) was very low. Some multifaceted interventions coupled with training showed improvements in the delivery of healthcare services by IHCPs. However, the improvements were inconsistent. Hence, it is unclear to identify any context-specific optimum intervention to improve the delivery of healthcare services by IHCPs.

The impact of eHealth use on general practice workload in the pre-COVID-19 era: a systematic review

BackgroundIn recent years, eHealth has received much attention as an opportunity to increase efficiency within healthcare organizations. Adoption of eHealth might consequently help to solve perceived health workforce challenges, including labor shortages and increasing workloads among primary care professionals, who serve as the first point of contact for healthcare in many countries.The purpose of this systematic review was to investigate the impact of general eHealth use and specific eHealth services use on general practice workload in the pre-COVID-19 era.MethodsThe databases of CINAHL, Cochrane, Embase, IEEE Xplore, Medline ALL, PsycINFO, Web of Science, and Google Scholar were searched, using combinations of keywords including ‘eHealth’, ‘workload’, and ‘general practice’. Data extraction and quality assessment of the included studies were independently performed by at least two reviewers. Publications were included for the period 2010 – 2020, before the start of the COVID-19 pandemic.ResultsIn total, 208 studies describing the impact of eHealth services use on general practice workload were identified. We found that two eHealth services were mainly investigated within this context, namely electronic health records and digital communication services, and that the largest share of the included studies used a qualitative study design. Overall, a small majority of the studies found that eHealth led to an increase in general practice workload. However, results differed between the various types of eHealth services, as a large share of the studies also reported a reduction or no change in workload.ConclusionsThe impact of eHealth services use on general practice workload is ambiguous. While a small majority of the effects indicated that eHealth increased workload in general practice, a large share of the effects also showed that eHealth use reduced workload or had no impact. These results do not imply a definitive conclusion, which underscores the need for further explanatory research. Various factors, including the study setting, system design, and the phase of implementation, may influence this impact and should be taken into account when general practices adopt new eHealth services.Study registration numberPROSPERO (International Prospective Register of Systematic Reviews) CRD42020199897; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=199897.

Emulating target trials of postexposure vaccines using observational data.

Postexposure vaccination has the potential to prevent or modify the course of clinical disease among those exposed to a pathogen. However, due to logistical constraints, postexposure vaccine trials have been difficult to implement in practice. In place of trials, investigators have used observational data to estimate the effectiveness or optimal timing window for postexposure vaccines, but the relationship between these analyses and those that would be conducted in a trial is often unclear. Here, we define several possible target trials for postexposure vaccination and show how, under certain conditions, they can be emulated using observational data. We emphasize the importance of the incubation period and the timing of vaccination in trial design and emulation. As an example, we specify a protocol for postexposure vaccination against mpox and provide a step-by-step description of how to emulate it using data from a healthcare database or contact tracing program. We further illustrate some of the benefits of the target trial approach through simulation.

Healthcare contact days for people with stage IV non-small cell lung cancer (NSCLC) in Ontario: A population-based study

BackgroundSurvival is limited with advanced NSCLC, and frequent healthcare visits can become all-consuming. We investigated patterns of contact days—days with any in-person healthcare contact as a measure of potential time toxicity—in a population-based sample. MethodsWe created a population-based, retrospective cohort with health administrative data from Ontario, Canada, of adults with stage IV NSCLC in 2014-2017, dying 2014-2019. The primary outcome was contact days assessed from diagnosis to death. We stratified analyses by receipt, type and lines of systemic therapy administered. We plotted and fitted with cubic splines the weekly percentage of contact days to obtain trajectories over the disease course. ResultsWe identified 5,785 stage IV NSCLC patients. The median (interquartile range [IQR]) survival was 108 days (49-426), and median percentage of contact days was 33.3%. Patients receiving systemic treatment had longer median survival (261 [152-420] vs. 66 [34-130] days) and lower median percentage of contact days (22.2% vs. 40.9%). Overall and for subgroups (systemic therapy vs. not; type and lines of therapy), trajectories followed a U-shaped distribution, with highest rates immediately following diagnosis and prior to death. The difference between the maximal peak and trough was greater in patients who received systemic therapy (peak 34.8% vs. trough 15.9%, ""deeper U"") vs. not (39.5% vs. 27.6%, ""shallower U""). ConclusionStage IV NSCLC patients spent a significant proportion of days alive with healthcare contact. These data serve as a call to recognize patient time burdens, improve care efficiency, and better support patients during periods of high burden.