Intensity, Characteristics, and Factors Associated With Receipt of Care Coordination Among High-Risk Veterans in the Veterans Health Administration.

BACKGROUND: The Veterans Health Administration (VHA) has initiatives underway to enhance the provision of care coordination (CC), particularly among high-risk Veterans. Yet, evidence detailing the characteristics of and who receives VHA CC is limited. OBJECTIVES: We examined intensity, timing, setting, and factors associated with VHA CC among high-risk Veterans. RESEARCH DESIGN: We conducted a retrospective observational cohort study, following Veterans for 1 year after being identified as high-risk for hospitalization or mortality, to characterize their CC. Demographic and clinical factors predictive of CC were identified via multivariate logistic regression. SUBJECTS: A total of 1,843,272 VHA-enrolled high-risk Veterans in fiscal years 2019-2021. MEASURES: We measured 5 CC variables during the year after Veterans were identified as high risk: (1) receipt of any service, (2) number of services received, (3) number of days to first service, (4) number of days between services, and (5) type of visit during which services were received. RESULTS: Overall, 31% of high-risk Veterans in the sample received CC during one-year follow-up. Among Veterans who received ≥1 service, a median of 2 [IQR (1, 6)] services were received. Among Veterans who received ≥2 services, there was a median of 26 [IQR (10, 57)] days between services. Most services were received during outpatient psychiatry (46%) or medicine (16%) visits. Veterans' sociodemographic and clinical characteristics were associated with receipt of CC. CONCLUSIONS: A minority of Veterans received CC in the year after being identified as high-risk, and there was variation in intensity, timing, and setting of CC. Research is needed to examine the fit between Veterans' CC needs and preferences and VHA CC delivery.

Unravelling the Belgian cascade of hypertension care and its determinants: insights from a cross-sectional analysis.

BACKGROUND: Hypertension is a major risk factor for cardiovascular disease and all-cause mortality worldwide. Despite the widespread availability of effective antihypertensives, blood pressure (BP) control rates remain suboptimal, even in high-income countries such as Belgium. In this study, we used a cascade of care approach to identify where most patients are lost along the continuum of hypertension care in Belgium, and to assess the main risk factors for attrition at various stages of hypertension management. METHODS: Using cross-sectional data from the 2018 Belgian Health Interview Survey and the Belgian Health Examination Survey, we estimated hypertension prevalence among the Belgian population aged 40-79 years, and the proportion that was (1) screened, (2) diagnosed, (3) linked to care, (4) in treatment, (5) followed up and (6) well-controlled. Cox regression models were estimated to identify individual risk factors for being unlinked to hypertension care, untreated and not followed up appropriately. RESULTS: The prevalence of hypertension based on self-reported and measured high BP was 43.3%. While 98% of the hypertensive population had their BP measured in the past 5 years, only 56.7% were diagnosed. Furthermore, 53.4% were linked to care, 49.8% were in treatment and 43.4% received adequate follow-up. Less than a quarter (23.5%) achieved BP control. Among those diagnosed with hypertension, males, those of younger age, without comorbidities, and smokers, were more likely to be unlinked to care. Once in care, younger age, lower BMI, financial hardship, and psychological distress were associated with a higher risk of being untreated. Finally, among those treated for hypertension, females, those of younger age, and without comorbidities were more likely to receive no adequate follow-up. CONCLUSION: Our results show that undiagnosed hypertension is the most significant barrier to BP control in Belgium. Health interventions are thus needed to improve the accurate and timely diagnosis of hypertension. Once diagnosed, the Belgian health system retains patients fairly well along the continuum of hypertension care, yet targeted health interventions to improve hypertension management for high-risk groups remain necessary, especially with regard to improving treatment rates.

Use of a toll-free call center for COVID-19 response and continuity of essential services during the lockdown, Greater Kampala, Uganda, 2020: a descriptive study.

Introduction: on March 21, 2020, the first case of COVID-19 was confirmed in Uganda. A total lockdown was initiated on March 30 which was gradually lifted May 5-June 30. On March 25, a toll-free call center was organized at the Kampala Capital City Authority to respond to public concerns about COVID-19 and the lockdown. We documented the set-up and use of the call center and analyzed key concerns raised by the public. Methods: two hotlines were established and disseminated through media platforms in Greater Kampala. The call center was open 24 hours a day and 7 days a week. We abstracted data on incoming calls from March 25 to June 30, 2020. We summarized call data into categories and conducted descriptive analyses of public concerns raised during the lockdown. Results: among 10,167 calls, two-thirds (6,578; 64.7%) involved access to health services, 1,565 (15.4%) were about social services, and 1,375 (13.5%) involved COVID-19-related issues. Approximately one-third (2,152; 32.7%) of calls about access to health services were requests for ambulances for patients with non-COVID-19-related emergencies. About three-quarters of calls about social services were requests for food and relief items (1,184; 75.7%). Half of the calls about COVID-19 (730; 53.1%) sought disease-related information. Conclusion: the toll-free call center was used by the public during the COVID-19 lockdown in Kampala. Callers were more concerned about access to essential health services, non-related to COVID-19 disease. It is important to plan for continuity of essential services before a public health emergency-related lockdown.

Multilevel analysis of dropout from maternal continuum of care and its associated factors: Evidence from 2022 Tanzania Demographic and Health Survey.

BACKGROUND: The maternal continuum of care (CoC) is a cost-effective approach to mitigate preventable maternal and neonatal deaths. Women in developing countries, including Tanzania, face an increased vulnerability to significant dropout rates from maternal CoC, and addressing dropout from the continuum remains a persistent public health challenge. METHOD: This study used the 2022 Tanzania Demographic and Health Survey (TDHS). A total weighted sample of 5,172 women who gave birth in the past 5 years and had first antenatal care (ANC) were included in this study. Multilevel binary logistic regression analyses were used to examine factors associated with dropout from the 3 components of maternal CoC (i.e., ANC, institutional delivery, and postnatal care (PNC)). RESULTS: The vast majority, 83.86% (95% confidence interval (CI): 82.83%, 84.83%), of women reported dropout from the maternal CoC. The odds of dropout from the CoC was 36% (AOR = 0.64, (95% CI: 0.41, 0.98)) lower among married women compared to their divorced counterparts. Women who belonged to the richer wealth index reported a 39% (AOR = 0.61, (95% CI: 0.39, 0.95)) reduction in the odds of dropout, while those belonged to the richest wealth index demonstrated a 49% (AOR = 0.51, (95% CI: 0.31, 0.82)) reduction. The odds of dropout from CoC was 37% (AOR = 0.63, (95% CI: 0.45,0.87)) lower among women who reported the use of internet in the past 12 months compared to those who had no prior exposure to the internet. Geographical location emerged as a significant factor, with women residing in the Northern region and Southern Highland Zone, respectively, experiencing a 44% (AOR = 0.56, 95% CI: 0.35-0.89) and 58% (AOR = 0.42, 95% CI: 0.26-0.68) lower odds of dropout compared to their counterparts in the central zone. CONCLUSION: The dropout rate from the maternity CoC in Tanzania was high. The findings contribute to our understanding of the complex dynamics surrounding maternity care continuity and underscore the need for targeted interventions, considering factors such as marital status, socioeconomic status, internet usage, and geographical location.

The Impact of Primary Care Clinic and Family Physician Continuity on Patient Health Outcomes: A Retrospective Analysis From Alberta, Canada.

PURPOSE: Continuity of care is broadly associated with better patient health outcomes. The relative contributions of continuity with an individual physician and with a practice, however, have not generally been distinguished. This retrospective observational study examined the impact of continuity of care for patients seen at their main clinic but by different family physicians. METHODS: We analyzed linked health administrative data from 2015-2018 from Alberta, Canada to explore the association of physician and clinic continuity with rates of emergency department (ED) visits and hospitalizations across varying levels of patient complexity. Physician continuity was calculated using the known provider of care index and clinic continuity with an analogous measure. We developed zero-inflated negative binomial models to assess the association of each with all-cause ED visits and hospitalizations. RESULTS: High physician continuity was associated with lower ED use across all levels of patient complexity and with fewer hospitalizations for highly complex patients. Broadly, no (0%) clinic continuity was associated with increased use and complete (100%) clinic continuity with decreased use, with the largest effect seen for the most complex patients. Levels of clinic continuity between 1% and 50% were generally associated with slightly higher use, and levels of 51% to 99% with slightly lower use. CONCLUSIONS: The best health care outcomes (measured by ED visits and hospitalizations) are associated with consistently seeing one's own primary family physician or seeing a clinic partner when that physician is unavailable. The effect of partial clinic continuity appears complex and requires additional research. These results provide some reassurance for part-time and shared practices, and guidance for primary care workforce policy makers.

Interdisciplinary videoconference model for identifying potential adverse transition of care events following hospital discharge to postacute care.

Discharge from hospitals to postacute care settings is a vulnerable time for many older adults, when they may be at increased risk for errors occurring in their care. We developed the Extension for Community Healthcare Outcomes-Care Transitions (ECHO-CT) programme in an effort to mitigate these risks through a mulitdisciplinary, educational, case-based teleconference between hospital and skilled nursing facility providers. The programme was implemented in both academic and community hospitals. Through weekly sessions, patients discharged from the hospital were discussed, clinical concerns addressed, errors in care identified and plans were made for remediation. A total of 1432 discussions occurred for 1326 patients. The aim of this study was to identify errors occurring in the postdischarge period and factors that predict an increased risk of experiencing an error. In 435 discussions, an issue was identified that required further discussion (known as a transition of care event), and the majority of these were related to medications. In 14.7% of all discussions, a medical error, defined as 'any preventable event that may cause or lead to inappropriate medical care or patient harm', was identified. We found that errors were more likely to occur for patients discharged from surgical services or the emergency department (as compared with medical services) and were less likely to occur for patients who were discharged in the morning. This study shows that a number of errors may be detected in the postdischarge period, and the ECHO-CT programme provides a mechanism for identifying and mitigating these events. Furthermore, it suggests that discharging service and time of day may be associated with risk of error in the discharge period, thereby suggesting potential areas of focus for future interventions.

Racial and Ethnic Inequities in Cancer Care Continuity During the COVID-19 Pandemic Among Those With SARS-CoV-2.

Importance: Racially and ethnically minoritized US adults were disproportionately impacted by the COVID-19 pandemic and experience poorer cancer outcomes, including inequities in cancer treatment delivery. Objective: To evaluate racial and ethnic disparities in cancer treatment delays and discontinuations (TDDs) among patients with cancer and SARS-CoV-2 during different waves of the COVID-19 pandemic in the United States. Design, Setting, and Participants: This cross-sectional study used data from the American Society of Clinical Oncology Survey on COVID-19 in Oncology Registry (data collected from April 2020 to September 2022), including patients with cancer also diagnosed with SARS-CoV-2 during their care at 69 US practices. Racial and ethnic differences were examined during 5 different waves of the COVID-19 pandemic in the United States based on case surge (before July 2020, July to November 2020, December 2020 to March 2021, April 2021 to February 2022, and March to September 2022). Exposures: Race and ethnicity. Main Outcomes and Measures: TDD was defined as any cancer treatment postponed more than 2 weeks or cancelled with no plans to reschedule. To evaluate TDD associations with race and ethnicity, adjusted prevalence ratios (aPRs) were estimated using multivariable Poisson regression, accounting for nonindependence of patients within clinics, adjusting for age, sex, body mass index, comorbidities, cancer type, cancer extent, and SARS-CoV-2 severity (severe defined as death, hospitalization, intensive care unit admission, or mechanical ventilation). Results: A total of 4054 patients with cancer and SARS-CoV-2 were included (143 [3.5%] American Indian or Alaska Native, 176 [4.3%] Asian, 517 [12.8%] Black or African American, 469 [11.6%] Hispanic or Latinx, and 2747 [67.8%] White; 2403 [59.3%] female; 1419 [35.1%] aged 50-64 years; 1928 [47.7%] aged ≥65 years). The analysis focused on patients scheduled (at SARS-CoV-2 diagnosis) to receive drug-based therapy (3682 [90.8%]), radiation therapy (382 [9.4%]), surgery (218 [5.4%]), or transplant (30 [0.7%]), of whom 1853 (45.7%) experienced TDD. Throughout the pandemic, differences in racial and ethnic inequities based on case surge with overall TDD decreased over time. In multivariable analyses, non-Hispanic Black (third wave: aPR, 1.56; 95% CI, 1.31-1.85) and Hispanic or Latinx (third wave: aPR, 1.35; 95% CI, 1.13-1.62) patients with cancer were more likely to experience TDD compared with non-Hispanic White patients during the first year of the pandemic. By 2022, non-Hispanic Asian patients (aPR, 1.51; 95% CI, 1.08-2.12) were more likely to experience TDD compared with non-Hispanic White patients, and non-Hispanic American Indian or Alaska Native patients were less likely (aPR, 0.37; 95% CI, 0.16-0.89). Conclusions and Relevance: In this cross-sectional study of patients with cancer and SARS-CoV-2, racial and ethnic inequities existed in TDD throughout the pandemic; however, the disproportionate burden among racially and ethnically minoritized patients with cancer varied across SARS-CoV-2 waves. These inequities may lead to downstream adverse impacts on cancer mortality among minoritized adults in the United States.

Hospital Readmission Rates for Patients Receiving In-Person vs. Telemedicine Discharge Follow-Up Care.

INTRODUCTION: Unplanned readmissions can be avoided by standardizing and improving the coordination of care after discharge. Telemedicine has been increasingly utilized; however, the quality of this care has not been well studied. Standardized measures can provide an objective comparison of care quality. The purpose of our study was to compare quality performance transitions of care management in the office vs telemedicine. METHODS: The Epic SlicerDicer tool was used to compare the percentage of encounters that were completed via telemedicine (video visits); or via in-person for comparison, Chi-squared tests were used. RESULTS: A total of 13,891 patients met the inclusion criteria during the study time frame. There were 12,846 patients in the office and 1,048 in the telemedicine cohort. The office readmission rate was 11.9% with 1,533 patients out of 12,846 compared with telemedicine with the rate of readmission at 12.1% with 126 patients out of 1,045 patients. The P-value for the Chi-squared test between the prepandemic and study time frame was 0.15 and 0.95, respectively. Demographic comparability was seen. DISCUSSION: Our study found a comparable readmission rate between patients seen via in-office and telemedicine for Transitions of Care Management (TCM) encounters. The findings of this study support the growing body of evidence that telemedicine augments quality performance while reducing cost and improving access without negatively impacting HEDIS performance in health care systems. CONCLUSION: Telemedicine poses little threat of negatively impacting HEDIS performance and might be as effective as posthospitalization traditional office care transitions of care management.

The correlation between the need for continuing care services, influencing factors, and social support and discharge readiness among discharged patients with pulmonary tuberculosis in China: A cross-sectional study.

OBJECTIVE: To understand the relationship between the need for continuing care services and influencing factors, social support, readiness for discharge among discharged pulmonary tuberculosis (PTB) patients. METHODS: A cross-sectional study was conducted among 170 patients from a database of discharged patients with PTB from September 2023 to January 2024. A demographic and disease characteristics questionnaire, continuing care services basic modality questionnaire, continuing care services need questionnaire, the Social Support Rating Scale (SSRS), and the Readiness for Hospital Discharge Scale (RHDS) were used for this investigation. Univariate analysis and multiple linear regression analysis were used to analyze the associated factors. RESULTS: The mean total score for the need for continuing care services among patients with PTB discharged from the hospital was (121.61 ± 22.98). The dimension with the highest score was health education guidance need. Compared to the the original hospital medical personnel, the primary source of care information after discharge was the local medical institutions was statistically significant and negatively correlated with continuing care service need (P = 0.005). Social support was positively associated with need for continuing care services (P = 0.042). CONCLUSION: Discharged PTB patients had a high degree of continuing care service need. Factors influencing the need for continuing care services are the primary source of care information after discharge was the local medical institutions, the social support. Medical staff need to provide targeted continuing care services based on relevant influencing factors to meet the discharge needs of patients.

Association between visit frequency, continuity of care, and pharmacy fill adherence in heart failure patients.

BACKGROUND: Despite advances in medical therapy for heart failure with reduced ejection fraction (HFrEF), major gaps in medication adherence to guideline-directed medical therapies (GDMT) remain. Greater continuity of care may impact medication adherence and reduced hospitalizations. METHODS: We conducted a cross-sectional study of adults with a diagnosis of HF and EF ≤40% with ≥2 outpatient encounters between January 1, 2017 and January 10, 2021, prescribed ≥1 of the following GDMT: 1) Beta Blocker, 2) Angiotensin Converting Enzyme Inhibitor/Angiotensin Receptor Blocker/Angiotensin Receptor Neprilysin Inhibitor, 3) Mineralocorticoid Receptor Antagonist, 4) Sodium Glucose Cotransporter-2 Inhibitor. Continuity of care was calculated using the Bice-Boxerman Continuity of Care Index (COC) and the Usual Provider of Care (UPC) index, categorized by quantile. The primary outcome was adherence to GDMT, defined as average proportion of days covered ≥80% over 1 year. Secondary outcomes included all-cause and HF hospitalization at 1-year. We performed multivariable logistic regression analyses adjusted for demographics, insurance status, comorbidity index, number of visits and neighborhood SES index. RESULTS: Overall, 3,971 individuals were included (mean age 72 years (SD 14), 71% male, 66% White race). In adjusted analyses, compared to individuals in the highest COC quartile, individuals in the third COC quartile had higher odds of GDMT adherence (OR 1.26, 95% CI 1.03-1.53, P = .024). UPC tertile was not associated with adherence (all P > .05). Compared to the highest quantiles, the lowest UPC and COC quantiles had higher odds of all-cause (UPC: OR 1.53, 95%CI 1.23-1.91; COC: OR 2.54, 95%CI 1.94-3.34) and HF (UPC: OR 1.81, 95%CI 1.23-2.67; COC: OR 1.77, 95%CI 1.09-2.95) hospitalizations. CONCLUSIONS: Continuity of care was not associated with GDMT adherence among patients with HFrEF but lower continuity of care was associated with increased all-cause and HF-hospitalizations.

A cost analysis of upscaling access to continuity of midwifery carer: Population-based microsimulation in Queensland, Australia.

OBJECTIVE: To quantify the economic impact of upscaling access to continuity of midwifery carer, compared with current standard maternity care, from the perspective of the public health care system. METHODS: We created a static microsimulation model based on a whole-of-population linked administrative data set containing all public hospital births in one Australian state (Queensland) between July 2017 to June 2018 (n = 37,701). This model was weighted to represent projected State-level births between July 2023 and June 2031. Woman and infant health service costs (inpatient, outpatient and emergency department) during pregnancy and birth were summed. The base model represented current standard maternity care and a counterfactual model represented two hypothetical scenarios where 50 % or 65 % of women giving birth would access continuity of midwifery carer. Costs were reported in 2021/22 AUD. RESULTS: The estimated cost savings to Queensland public hospital funders per pregnancy were $336 in 2023/24 and $546 with 50 % access. With 65 % access, the cost savings were estimated to be $534 per pregnancy in 2023/24 and $839 in 2030/31. A total State-level annual cost saving of $12 million in 2023/24 and $19 million in 2030/31 was estimated with 50 % access. With 65 % access, total State-level annual cost savings were estimated to be $19 million in 2023/24 and $30 million in 2030/31. CONCLUSION: Enabling most childbearing women in Australia to access continuity of midwifery carer would realise significant cost savings for the public health care system by reducing the rate of operative birth.

Disparities in Telehealth Use in HIV Care During the COVID-19 Pandemic: Study Findings from South Carolina.

Background: Telehealth was adopted to maintain HIV care continuity during the COVID-19 pandemic; however, its use was unequally distributed. This study examined variation in HIV care visit patterns and whether telehealth use was associated with viral suppression. Methods: Electronic health record (EHR) data from a large HIV clinic in South Carolina was analyzed using multivariable logistic regression to characterize variation in telehealth use, having a viral load (VL) test, and viral suppression in 2022. Results: EHR data from 2,375 people living with HIV (PWH) between March 2021 and March 2023 showed telehealth use among 4.8% of PWH. PWH who are 50+ years and non-Hispanic Black had lower odds of telehealth use (odds ratio [OR] 0.59, 95% confidence interval [CI 0.40-0.86]; OR 0.58, 95% CI [0.37-0.92] respectively). Telehealth use was not associated with viral suppression and VL testing. Conclusion: Telehealth disparities in HIV care affected older and non-Hispanic Black PWH, requiring tailored strategies to promote telehealth among them.

Social Determinants of Health and Continuity of Medications for Opioid Use Disorder Among Patients Receiving Treatment in Rural Primary Care Settings.

OBJECTIVES: Factors associated with treatment retention on medications for opioid use disorder (MOUD) in rural settings are poorly understood. This study examines associations between social determinants of health (SDoH) and MOUD retention among patients with opioid use disorder (OUD) in rural primary care settings. METHODS: We analyzed patient electronic health records from 6 rural clinics. Participants (N = 575) were adult patients with OUD and had any prescription for MOUD from October 2019 to April 2020. MOUD retention was measured by MOUD days and continuity defined as continuous 180 MOUD days with no more than a 7-day gap. Mixed-effect regressions assessed associations between the outcomes and SDoH (Medicaid insurance, social deprivation index [SDI], driving time from home to the clinic), telehealth use, and other covariates. RESULTS: Mean patient MOUD days were 127 days (SD = 50.7 days). Living in more disadvantaged areas (based on SDI) (adjusted relative risk [aRR]: 0.98; 95% confidence interval [CI], 0.98-0.99) and having more than an hour (compared with an hour or less) driving time from home to clinic (aRR: 0.95; 95% CI, 0.93-0.97) were associated with fewer MOUD days. Using telehealth was associated with more MOUD days (aRR: 1.23; 95% CI, 1.21-1.26). In this cohort, 21.7% of the participants were retained on MOUD for at least 180 days. SDoH and use of telehealth were not associated with having continuity of MOUD. CONCLUSIONS: Addressing SDoH (eg, SDI) and providing telehealth (eg, improvements in public transportation, internet access) may improve MOUD days in rural settings.

Differences in Primary Care Follow-up After Acute Care Discharge Within and Across Health Systems: a Retrospective Cohort Study.

BACKGROUND: Timely primary care follow-up after acute care discharge may improve outcomes. OBJECTIVE: To evaluate whether post-discharge follow-up rates differ among patients discharged from hospitals directly affiliated with their primary care clinic (same-site), other hospitals within their health system (same-system), and hospitals outside their health system (outside-system). DESIGN: Retrospective cohort study. PATIENTS: Adult patients of five primary care clinics within a 14-hospital health system who were discharged home after a hospitalization or emergency department (ED) stay. MAIN MEASURES: Primary care visit within 14 days of discharge. A multivariable Poisson regression model was used to estimate adjusted rate ratios (aRRs) and risk differences (aRDs), controlling for sociodemographics, acute visit characteristics, and clinic characteristics. KEY RESULTS: The study included 14,310 discharges (mean age 58.4 [SD 19.0], 59.5% female, 59.5% White, 30.3% Black), of which 57.7% were from the same-site, 14.3% same-system, and 27.9% outside-system. By 14 days, 34.5% of patients discharged from the same-site hospital received primary care follow-up compared to 27.7% of same-system discharges (aRR 0.88, 95% CI 0.79 to 0.98; aRD - 6.5 percentage points (pp), 95% CI - 11.6 to - 1.5) and 20.9% of outside-system discharges (aRR 0.77, 95% CI [0.70 to 0.85]; aRD - 11.9 pp, 95% CI - 16.2 to - 7.7). Differences were greater for hospital discharges than ED discharges (e.g., aRD between same-site and outside-system - 13.5 pp [95% CI, - 20.8 to - 8.3] for hospital discharges and - 10.1 pp [95% CI, - 15.2 to - 5.0] for ED discharges). CONCLUSIONS: Patients discharged from a hospital closely affiliated with their primary care clinic were more likely to receive timely follow-up than those discharged from other hospitals within and outside their health system. Improving care transitions requires coordination across both care settings and health systems.

Impacto del seguimiento precoz desde atención primaria en el reingreso a 30días tras el alta hospitalaria por insuficiencia cardiaca / Impact of early follow-up from primary care on 30days readmission after heart failure hospitalization

Introducción Reducir ingresos por insuficiencia cardiaca (IC) es uno de los principales objetivos en el control de la enfermedad, por su impacto en el pronóstico y en el gasto sanitario. Los modelos transicionales al alta se imponen como una estrategia capaz de reducirlos, la mayoría basados en unidades hospitalarias específicas. Tratamos de valorar el impacto del seguimiento post-alta realizado desde atención primaria (AP). Material y métodos Estudio ecológico observacional retrospectivo en el área de referencia de un hospital terciario. Se efectúa un análisis de regresión lineal entre la tasa de seguimiento precoz desde el centro de salud tras un ingreso por IC y las tasas de reingreso a 30días por todas las causas a lo largo de 2021. Resultados El grado de seguimiento desde AP tras un alta hospitalaria por insuficiencia cardiaca se asocia con un menor reingreso a 30días por todas las causas (R de Pearson=0,53; p=0,02), con un descenso del 20%, similar al observado cuando se realiza desde otros dispositivos asistenciales y que se mantiene cuando se ajusta por complejidad de los pacientes. Conclusiones Tras un ingreso por IC, el seguimiento post-alta desde AP puede ser eficaz, reduciendo ingresos evitables y complementario al realizado por las unidades hospitalarias (AU)

Introduction Reducing heart failure (HF) admissions is one of the main objectives in disease control, due to its impact on prognosis and costs. The transitional models at discharge are imposed as a strategy capable of reducing hospitalizations, most of them based on specific hospital units. We analyzed the impact of the primary care (PC) post-discharge follow-up. Material and methods Retrospective observational study at the referral area of a tertiary hospital. Linear regression analysis was performed between early follow-up from the PC center after HF admission rate and the 30-day all-cause readmission rate throughout 2021. Results The degree of follow-up from PC after hospital discharge for heart failure is associated with fewer 30-day readmissions for all causes (Pearson's R=0.53, P=.02); with a decrease of 20%, similar to that observed when it is performed from other care facilities and which is maintained when adjusting for the complexity of the patients. Conclusions PC heart failure post-discharge follow-up could be effective in reducing hospitalizations, and is complementary to that carried out by hospital units (AU)

Chronic pain and continuity of analgesic treatment during the COVID-19 pandemic.

INTRODUCTION: Chronic pain can trigger both physical and mental health complications. During the COVID-19 pandemic, patients with chronic diseases have had reduced access to some medications. OBJECTIVE: To determine the pharmacological management of patients with chronic pain and its continuity during the COVID-19 pandemic. METHODS: This was a retrospective longitudinal study of the continuity of analgesic use in patients with chronic pain between September 1, 2019 and February 28, 2021 based on a drug dispensing database. Survival analysis was performed until the discontinuation of chronic analgesics. RESULTS: A total of 12,701 patients who were being treated for chronic pain were identified. Their median age was 70.3 years, and 74.4% were women. The pain of rheumatological origin was the most frequent etiology (46.1%); the most used medications were nonopioid analgesics (78.9%), pain modulators (24.8%) and opioid analgesics (23.3%). A total of 76.1% of the patients experienced interruptions in their management during the study period. The median time to the first interruption of treatment was 5.0 months (95% CI: 4.8-5.2). Those who were treated for oncological pain experienced a greater number of interruptions in their management. CONCLUSIONS: The pharmacological management of patients with chronic pain is heterogeneous, and this real-world study showed that a high proportion of patients experienced an interruption of pain management during the 12 months following the onset of the COVID-19 pandemic.

Relationship between continuity of care and clinical outcomes in patients with dyslipidemia in Korea: a real world claims database study.

Dyslipidemia is a risk factor for atherosclerotic cardiovascular disease and requires proactive management. This study aimed to investigate the association between care continuity and the outcomes of patients with dyslipidemia. We conducted a retrospective cohort study on patients with dyslipidemia by employing the Korea National Health Insurance claims database during the period 2007-2018. The Continuity of Care Index (COCI) was used to measure continuity of care. We considered incidence of atherosclerotic cardiovascular disease as a primary outcome. A Cox's proportional hazards regression model was used to quantify risks of primary outcome. There were 236,486 patients newly diagnosed with dyslipidemia in 2008 who were categorized into the high and low COC groups depending on their COCI. The adjusted hazard ratio for the primary outcome was 1.09 times higher (95% confidence interval: 1.06-1.12) in the low COC group than in the high COC group. The study shows that improved continuity of care for newly-diagnosed dyslipidemic patients might reduce the risk of atherosclerotic cardiovascular disease.

A comparative study of adult and adolescent maternal care continuum following community-oriented interventions in Cambodia, Guatemala, Kenya, and Zambia.

BACKGROUND: The coverage for reproductive care continuum is a growing concern for communities in low- income economies. Adolescents (15-19 years) are often at higher odds of maternal morbidity and mortality due to other underlying factors including biological immaturity, social, and economic differences. The aim of the study was to examine a) differences in care-seeking and continuum of care (4 antenatal care (ANC4+), skilled birth attendance (SBA) and postnatal care (PNC) within 24h) between adult (20-49 Years) and adolescents and b) the effect of multilevel community-oriented interventions on adolescent and adult reproductive care-seeking in Cambodia, Guatemala, Kenya, and Zambia using a quasi-experimental study design. METHODS: In each country, communities in two districts/sub-districts received timed community health worker (CHW) household health promotion and social accountability interventions with community scorecards. Two matched districts/sub-districts were selected for comparison and received routine healthcare services. RESULTS: Results from the final evaluation showed that there were no significant differences in the care continuum for adolescents and adults except for Kenya (26.1% vs 18.8%, p<0.05). SBA was significantly higher for adolescents compared to adult women for Guatemala (64% vs 55.5%, p<0.05). Adolescents in the intervention sites showed significantly higher ANC utilization for Kenya (95.3% vs 84.8%, p<0.01) and Zambia (87% vs 72.7%, p<0.05), ANC4 for Cambodia (83.7% vs 43.2%, p<0.001) and Kenya (65.9% vs 48.1%, p<0.05), SBA for Cambodia (100% vs 88.9%, p<0.05), early PNC for Cambodia (91.8% vs 72.8%, p<0.01) and Zambia (56.5% vs 16.9%, p<0.001) compared to the comparison sites. However, the findings from Guatemala illustrated significantly lower care continuum for intervention sites (aOR:0.34, 95% CI 0.28-0.42, p<0.001). The study provides some evidence on the potential of multilevel community-oriented interventions to improve adolescent healthcare seeking in rural contexts. The predictors of care continuum varied across countries, indicating the importance of contextual factors in designing interventions.

Implementing Clinic First Guiding Actions Across 4 Family Medicine Residency Clinics.

PROBLEM: Family medicine faculty and residents have observed that continuity clinic is often unsatisfying, attributed to a lack of patient and team continuity and erratic clinic schedules pieced together after the prioritization of hospital service and rotation schedules. APPROACH: In 2019, a 3-year Clinic First project, called Clinic as Curriculum (CaC), was launched across the 4 family medicine residencies of the Department of Family Medicine and Community Health, University of Minnesota Medical School. The department began publishing quarterly CaC dashboard data. Each clinic completed a baseline assessment of their performance on the 13 Building Blocks of High-Performing Primary Care. Using their baseline data, each clinic identified which block or blocks, in addition to the blocks on continuity of care and resident scheduling, to focus on. The plan is to collaboratively implement the overall and local goals using dashboard data and iterative process improvement over 3 years. OUTCOMES: At baseline, clinics functioned quite well with respect to the 13 building blocks, but CaC dashboard data varied across the 4 clinics, with large variation between clinics on how frequently faculty were scheduled in the clinic and the proportion of total clinic visits seen by faculty. Resident continuity rates were low (range, 38%-47%). Level loading (consistent physician availability to meet patient demand) rates ranged from 1 to 11 days a month. Regarding resident schedules, 2 programs are moving from 4-week to 2-week inpatient blocks, and 2 programs are exploring longitudinal scheduling. One clinic will assign faculty and residents to specific clinic days. Two clinics are implementing microteams of 1 faculty and 3-4 residents. NEXT STEPS: The authors plan to analyze the dashboard data longitudinally; explore microteams, team continuity, and team scheduling adherence; and develop and implement resident scheduling changes over the next 3 years.

COVID-19 pandemic: a new cause of unplanned interruption of radiotherapy in breast cancer patients.

The purpose of this study was to investigate the impact of the coronavirus disease 2019 (COVID-19) pandemic on patients undergoing radiotherapy by comparing the patterns of unplanned radiotherapy interruption before and after the COVID-19 pandemic. We enrolled patients who received their first dose of radiotherapy for breast cancer between January 28 and July 31, 2019 and between January 28, 2020, and July 31, 2020. We compared the radiotherapy interruption patterns in 2019 with those in 2020 to analyze the impact of the COVID-19 pandemic on treatment interruption. Between January 28 and July 31, 2019, 287 patients with breast cancer received radiotherapy. Among them, 19 patients (6.6%) experienced treatment interruption; the reasons for treatment interruption were radiotherapy-related side effects (10 patients, 52.6%), other medical reasons (three patients, 15.8%), and personal reasons (six patients, 31.6%). Between January 28 and July 31, 2020, 279 patients with breast cancer received radiotherapy. Among them, 23 patients (8.2%) experienced treatment interruption; the reasons for treatment interruption were radiotherapy-related side effects (eight patients, 35%) and COVID-19 screening clinic-related reasons (six patients, 26.1%). Among the six patients with screening clinic-related causes of radiotherapy interruption, five had asymptomatic fever and one had mild cold-like symptoms. The duration of treatment interruption was longer in patients with screening clinic-related interruptions than in those with interruptions because of other causes (p = 0.019). Multivariate analysis showed that cancer stage and radiotherapy volume did not significantly affect treatment interruption. The radiotherapy of certain patients was suspended despite the lack of a confirmed COVID-19 diagnosis. Precise and systematic criteria for the management of patients with suspected COVID-19 are needed, and the opinion of radiation oncologist in charge of the patient must also be considered.