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.

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.

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.

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.

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.

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.

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.

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.

Level of completion along continuum of care for maternal, newborn and child health services and factors associated with it among women in India: a population-based cross-sectional study.

BACKGROUND: India, being a developing country, presents a disquiet picture of maternal and neonatal mortality and morbidity. The majority of maternal and neonatal mortality could be avoided if the continuum of care (CoC) is provided in a structured pathway from pregnancy to the postpartum period. Therefore, this article attempted to address the following research questions: What is the level of completion along CoC for MNCH services? At which stage of care do women discontinue taking services? and what are the factors affecting the continuation in receiving maternal, newborn and child health (MNCH) services among women in India? METHODS: The study utilized the data from the National Family Health Survey (NFHS-4) conducted during 2015-16 in India. The analysis was limited to 107,016 women aged 15-49 who had given a live birth in the last 5 years preceding the survey and whose children had completed 1 year. Four sequential fixed effect logit regression models were fitted to identify the predictors of completion of CoC. RESULTS: Nearly 39% of women in India had completed CoC for maternal and child health by receiving all four types of service (antenatal care, institutional delivery, post-natal care and full immunization of their child), with substantial regional variation ranging from 12 to 81%. The highest number of dropouts in CoC were observed at the first stage with a loss of nearly 38%. Further, education, wealth index, and health insurance coverage emerged as significant factors associated with CoC completion. CONCLUSION: The major barrier in achieving CoC for maternal and child health is the low utilization of ANC services in the first stage of the continuum and hence should be addressed for increasing CoC completion rate in the country. The gaps across all the levels of CoC indicate a need for increased focus on the CoC approach in India. A strategy should be developed that will connect all the components of MNCH avoiding dropouts and the MNCH provision should be standardized to provide services to every woman and child.

Continuum of maternity care in Zambia: a national representative survey.

BACKGROUND: Globally, over half of maternal deaths are related to pregnancy-related complications. Provision of a continuum of care during pregnancy, childbirth and the postnatal period results in reduced maternal and neonatal morbidity and mortality. Hence this study determined the prevalence of the continuum of care and its determinants among women in Zambia. METHODS: We used weighted data from the Zambian Demographic and Health Survey (ZDHS) of 2018 for 7325 women aged 15 to 49 years. Multistage stratified sampling was used to select study participants. Complete continuum of care was considered when a woman had; at least four antenatal care (ANC) contacts, utilized a health facility for childbirth and had at least one postnatal check-up within six weeks. We conducted multivariable logistic regression to explore continuum of care in Zambia. All our analyses were done using SPSS version 25. RESULTS: Of the 7,325 women, 38.0% (2787/7325) (95% confidence interval (CI): 36.9-39.1) had complete continuum of maternal healthcare. Women who had attained tertiary level of education (adjusted odds ratio (AOR): 1.93, 95% CI: 1.09-3.42) and whose partners had also attained tertiary level of education (AOR: 2.58, 95% CI: 1.54-4.32) were more likely to utilize the whole continuum of care compared to those who had no education. Women who initiated ANC after the first trimester (AOR: 0.46, 95% CI: 0.39-0.53) were less likely to utilize the whole continuum of care compared to those who initiated in the first semester. Women with exposure to radio (AOR: 1.58, 95% CI: 1.27-1.96) were more likely to utilize the whole continuum of care compared to those who were not exposed to radio. Women residing in the Western province were less likely to utilize the entire continuum of care compared to those in the other nine provinces. CONCLUSION: Level of education of the women and of their partners, early timing of ANC initiation, residing in other provinces other than the Western province, and exposure to information through radio were positively associated with utilization of the entire continuum of care. Improving literacy levels and promoting maternity services through radio may improve the level of utilization of maternity services.

Continuity of care in acute survivorship phase, and short and long-term outcomes in prostate cancer patients.

Continuity of care is important for prostate cancer care due to multiple treatment options, and prolonged disease history. We examined the association between continuity of care and outcomes in Medicare beneficiaries with localized prostate cancer, and the moderating effect of race using Surveillance, Epidemiological, and End Results (SEER) - Medicare data between 2000 and 2016. Continuity of care was measured as visits dispersion (continuity of care index or COCI), and density (usual provider care index or UPCI) in acute survivorship phase. Outcomes were emergency room visits, hospitalizations, and cost during acute survivorship phase and mortality (all-cause and prostate cancer-specific) over follow-up phase. Higher continuity of care was associated with improved outcomes, and interaction between race and continuity of care was significant. Continuity of care during acute survivorship phase may lower the racial disparity in prostate cancer care. Future research can analyze the mechanism of the process.

Trends in HIV Care Outcomes Among Adults and Adolescents-33 Jurisdictions, United States, 2014-2018.

BACKGROUND: With significant improvements in the diagnosis and treatment of HIV, the number of people with HIV in the United States steadily increases. Monitoring trends in HIV-related care outcomes is needed to inform programs aimed at reducing new HIV infections in the United States. SETTING: The setting is 33 United States jurisdictions that had mandatory and complete reporting of all levels of CD4 and viral load test results for each year during 2014-2018. METHODS: Estimated annual percentage change and 95% confidence intervals were calculated to assess trends in stage of disease at time of diagnosis, linkage to HIV medical care within 1 month of HIV diagnosis, and viral suppression within 6 months after HIV diagnosis. Differences in percentages were analyzed by sex, age, race/ethnicity, and transmission category for persons with HIV diagnosed from 2014 to 2018. RESULTS: Among 133,477 persons with HIV diagnosed during 2014-2018, the percentage of persons who received a diagnosis classified as stage 0 increased 13.7%, stages 1-2 (early infections) increased 2.9%, stage 3 (AIDS) declined 1.5%, linkage to HIV medical care within 1 month of HIV diagnosis increased 2.3%, and viral suppression within 6 months after HIV diagnosis increased 6.5% per year, on average. Subpopulations and areas that showed the least progress were persons aged 45-54 years, American Indian/Alaska Native persons, Asian persons, Native Hawaiian/other Pacific Islander persons, and rural areas with substantial HIV prevalence, respectively. CONCLUSIONS: New infections will continue to occur unless improvements are made in implementing the Ending the HIV Epidemic: A Plan for America strategies of diagnosing, treating, and preventing HIV infection.

Association of Inpatient Continuity of Care With Complications and Length of Stay Among Hospitalized Medicare Enrollees.

Importance: Continuity in primary care is associated with improved outcomes, but less information is available on the association of continuity of care in the hospital with hospital complications. Objective: To assess whether the number of hospitalists providing care is associated with subsequent hospital complications and length of stay. Design, Setting, and Participants: This retrospective cohort study used multilevel logistic regression models to analyze Medicare claims for medical admissions from 2016 to 2018 with a length of stay longer than 4 days. Admissions with multiple charges on the same day from a hospitalist or an intensive care unit (ICU) stay during hospital days 1 to 3 were excluded. The data were accessed and analyzed from November 1, 2020, to April 30, 2021. Exposures: The number of different hospitalists who submitted charges during hospital days 1 to 3. Main Outcomes and Measures: Overall length of stay and transfer to ICU or a new diagnosis of drug toxic effects on hospital day 4 or later. Results: Among the 617 680 admissions, 362 376 (58.7%) were women, with a mean (SD) age of 80.2 (8.4) years. In 306 037 admissions (49.6%), the same hospitalist provided care on days 1 to 3, while 2 hospitalists provided care in 274 658 admissions (44.5%), and 3 hospitalists provided care in 36 985 admissions (6.0%). There was no significant association between the number of different hospitalists on days 1 to 3 and either length of stay or subsequent ICU transfers. Admissions seeing 2 or 3 hospitalists had a slightly greater adjusted odds of subsequent new diagnoses of drug toxic effects (2 hospitalists: odds ratio [OR], 1.04; 95% CI, 1.02-1.07; 3 hospitalists: OR, 1.07; 95% CI, 1.03-1.12). Conclusions and Relevance: There was little evidence that receiving care from multiple hospitalists was associated with worse outcomes for patients receiving all their general medical care from hospitalists.

Phase-Specific and Lifetime Costs of Multiple Myeloma Among Older Adults in the US.

Importance: Health care costs associated with diagnosis and care among older adults with multiple myeloma (MM) are substantial, with cost of care and the factors involved differing across various phases of the disease care continuum, yet little is known about cost of care attributable to MM from a Medicare perspective. Objective: To estimate incremental phase-specific and lifetime costs and cost drivers among older adults with MM enrolled in fee-for-service Medicare. Design, Setting, and Participants: A retrospective cohort study was conducted using population-based registry data from the 2007-2015 Surveillance, Epidemiology, and End Results database linked with 2006-2016 Medicare administrative claims data. Data analysis included 4533 patients with newly diagnosed MM and 4533 matched noncancer Medicare beneficiaries from a 5% sample of Medicare to assess incremental MM lifetime and phase-specific costs (prediagnosis, initial care, continuing care, and terminal care) and factors associated with phase-specific incremental MM costs. The study was conducted from June 1, 2019, to April 30, 2021. Main Outcomes and Measures: Incremental MM costs were calculated for the disease lifetime and the following 4 phases of care: prediagnosis, initial, continuing care, and terminal. Results: Of the 4533 patients with MM included in the study, 2374 were women (52.4%), 3418 (75.4%) were White, and mean (SD) age was 75.8 (6.8) years (2313 [51.0%] aged ≥75 years). The characteristics of the control group were similar; however, mean (SD) age was 74.2 (8.8) years (2839 [62.6%] aged ≤74 years). Mean adjusted incremental MM lifetime costs were $184 495 (95% CI, $183 099-$185 968). Mean per member per month phase-specific incremental MM costs were estimated to be $1244 (95% CI, $1216-$1272) for the prediagnosis phase, $11 181 (95% CI, $11 052-$11 309) for the initial phase, $5634 (95% CI, $5577-$5694) for the continuing care phase, and $6280 (95% CI, $6248-$6314) for the terminal phase. Although inpatient and outpatient costs were estimated as the major cost drivers for the prediagnosis (inpatient, 55.8%; outpatient, 40.2%), initial care (inpatient, 38.1%; outpatient, 35.5%), and terminal (inpatient, 33.0%; outpatient, 34.6%) care phases, prescription drugs (44.9%) were the largest cost drivers in the continuing care phase. Conclusions and Relevance: The findings of this study suggest that there is substantial burden to Medicare associated with diagnosis and care among older adults with MM, and the cost of care and cost drivers vary across different phases of the cancer care continuum. The study findings might aid policy discussions regarding MM care and coverage and help further the development of alternative payment models for MM, accounting for differential costs across various phases of the disease continuum and their drivers.