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1.
PLoS One ; 19(7): e0305164, 2024.
Article in English | MEDLINE | ID: mdl-38991043

ABSTRACT

AIMS: Maintaining continuity of care between doctors and patients is considered a fundamental aspect of quality in primary healthcare. In this study, we aim to examine continuity in Norway over time by computing two commonly used indicators of continuity: the St Leonard's Index of Continuity of Care (SLICC) and the Usual Provider of Care Index (UPC). METHOD: We employ individual-level data, which covers all primary care consultations. This data includes the identities of each patient and physician, and we can identify each patient's regular general practitioner (GP). The SLICC is calculated as the share of consultations conducted by the patient's regular GP annually from 2006 to 2021. Additionally, we identify each patient's most visited physician and compute the UPC as the share of total consultations conducted by the most visited physician during the same period. Our analysis is conducted at the national level and stratified according to the level of centrality, differentiating between areas of high, moderate, and low centrality. RESULTS: Our findings reveal that, at the national level, SLICC and UPC exhibit remarkable stability, reaching 64 and 71 percent, respectively, in 2021. However, there is significant geographical variation, with the least central areas experiencing less continuous healthcare (SLICC at 49 percent in 2021) than patients residing in more central areas (SLICC at 68 in 2021). CONCLUSION: Our results demonstrate a high degree of continuity that has been stable over time. However, large geographical variations suggest that policymakers should strive to reduce geographical disparities in healthcare quality.


Subject(s)
Continuity of Patient Care , General Practice , Norway , Humans , Continuity of Patient Care/statistics & numerical data , General Practice/statistics & numerical data , Male , Female , Middle Aged , Adult , Primary Health Care/statistics & numerical data , Aged , General Practitioners/statistics & numerical data , Quality of Health Care
2.
Med Care ; 62(8): 549-558, 2024 Aug 01.
Article in English | MEDLINE | ID: mdl-38967995

ABSTRACT

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.


Subject(s)
United States Department of Veterans Affairs , Veterans , Humans , United States , Male , Female , United States Department of Veterans Affairs/statistics & numerical data , Retrospective Studies , Middle Aged , Veterans/statistics & numerical data , Aged , Adult , Continuity of Patient Care/statistics & numerical data , Veterans Health Services/statistics & numerical data
3.
JMIR Ment Health ; 11: e56886, 2024 Jul 09.
Article in English | MEDLINE | ID: mdl-38989849

ABSTRACT

Background: Telehealth implementation can be challenging for persons with serious mental illness (SMI), which may impact their quality of care and health outcomes. The literature on telehealth's impacts on SMI care outcomes is mixed, necessitating further investigation. Objective: We examined the impacts of facility-level telehealth adoption on quality of care metrics over time among patients with SMI. Methods: We analyzed Veterans Affairs (VA) administrative data across 138 facilities from January 2021 to December 2022. We performed longitudinal mixed-effects regressions to identify the relationships between the proportion of facility-level telehealth visits and SMI specialty care quality metrics: engagement with primary care; access and continuity of care across a range of mental health services including psychotherapy or psychosocial rehabilitation, SMI-specific intensive outpatient programs, and intensive case management; and continuity of mental health care after a high-risk event (eg, suicide attempt). Results: Facilities with a higher proportion of telehealth visits had reduced access and continuity of physical and mental health care for patients with SMI (P<.05). Higher telehealth adoption was associated with reduced primary care engagement (z=-4.04; P<.001), reduced access to and continuity in SMI-specific intensive case management (z=-4.49; P<.001; z=-3.15; P<.002), reductions in the continuity of care within psychotherapy and psychosocial rehabilitation (z=-3.74; P<.001), and continuity of care after a high-risk event (z=-2.46; P<.01). Telehealth uptake initially increased access to intensive outpatient but did not improve its continuity over time (z=-4.47; P<.001). Except for continuity within SMI-specific intensive case management (z=2.62; P<.009), continuity did not improve over time as telehealth became routinized. Conclusions: Although telehealth helped preserve health care access during the pandemic, telehealth may have tradeoffs with regard to quality of care for some individuals with SMI. These data suggest that engagement strategies used by SMI-specific intensive case management may have preserved quality and could benefit other settings. Strategies that enhance telehealth implementation-selected through a health equity lens-may improve quality of care among patients with SMI.


Subject(s)
Mental Disorders , Quality of Health Care , Telemedicine , United States Department of Veterans Affairs , Humans , Telemedicine/statistics & numerical data , United States , Retrospective Studies , Mental Disorders/therapy , Mental Disorders/rehabilitation , Mental Disorders/epidemiology , Male , Female , Veterans/statistics & numerical data , Veterans/psychology , Mental Health Services/standards , Middle Aged , Continuity of Patient Care/statistics & numerical data , Continuity of Patient Care/standards , Health Services Accessibility/statistics & numerical data , Adult
4.
Pan Afr Med J ; 47: 141, 2024.
Article in English | MEDLINE | ID: mdl-38933438

ABSTRACT

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.


Subject(s)
COVID-19 , Call Centers , Health Services Accessibility , Humans , Uganda/epidemiology , COVID-19/epidemiology , COVID-19/prevention & control , Call Centers/statistics & numerical data , Hotlines/statistics & numerical data , Continuity of Patient Care/statistics & numerical data , Communicable Disease Control/methods
5.
BMC Public Health ; 24(1): 1559, 2024 Jun 14.
Article in English | MEDLINE | ID: mdl-38872180

ABSTRACT

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.


Subject(s)
Hypertension , Humans , Middle Aged , Belgium/epidemiology , Hypertension/epidemiology , Cross-Sectional Studies , Male , Female , Adult , Aged , Risk Factors , Prevalence , Health Surveys , Antihypertensive Agents/therapeutic use , Continuity of Patient Care/statistics & numerical data
6.
Ann Fam Med ; 22(4): 301-308, 2024 Jul 22.
Article in English | MEDLINE | ID: mdl-38914438

ABSTRACT

PURPOSE: Relationship continuity of care has declined across English primary health care, with cross-sectional and longitudinal variations between general practices predicted by population and service factors. We aimed to describe cross-sectional and longitudinal variations across the COVID-19 pandemic and determine whether practice factors predicted the variations. METHODS: We conducted a longitudinal, ecological study of English general practices during 2018-2022 with continuity data, excluding practices with fewer than 750 patients or National Health Service (NHS) payments exceeding £500 per patient. Variables were derived from published data. The continuity measure was the product of weighted responses to 2 General Practice Patient Survey questions. In a multilevel mixed-effects model, the fixed effects were 11 variables' interactions with time: baseline continuity, NHS region, deprivation, location, percentage White ethnicity, list size, general practitioner and nurse numbers, contract type, NHS payments per patient, and percentage of patients seen on the same day as booking. The random effects were practices. RESULTS: Main analyses were based on 6,010 practices (out of 7,190 active practices). During 2018-2022, mean continuity in these practices declined (from 29.3% to 19.0%) and the coefficient of variation across practices increased (from 48.1% to 63.6%). Both slopes were steepest between 2021 and 2022. Practices having more general practitioners and higher percentages of patients seen the same day had slower declines. Practices having higher baseline continuity, located in certain non-London regions, and having higher percentages of White patients had faster declines. The remaining variables were not predictors. CONCLUSIONS: Variables potentially associated with greater appointment availability predicted slower declines in continuity, with worsening declines and relative variability immediately after the COVID-19 lockdown, possibly reflecting surges in demand. To achieve better levels of continuity for those seeking it, practices can increase appointment availability within appointment systems that prioritize continuity.Annals Early Access article.


Subject(s)
COVID-19 , Continuity of Patient Care , General Practice , SARS-CoV-2 , State Medicine , Humans , COVID-19/epidemiology , Continuity of Patient Care/statistics & numerical data , Longitudinal Studies , General Practice/statistics & numerical data , Cross-Sectional Studies , England/epidemiology , Pandemics , Male , Female , General Practitioners/statistics & numerical data , Middle Aged
7.
Ann Fam Med ; 22(3): 223-229, 2024.
Article in English | MEDLINE | ID: mdl-38806258

ABSTRACT

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.


Subject(s)
Continuity of Patient Care , Emergency Service, Hospital , Hospitalization , Primary Health Care , Humans , Alberta , Retrospective Studies , Continuity of Patient Care/statistics & numerical data , Female , Male , Primary Health Care/statistics & numerical data , Middle Aged , Emergency Service, Hospital/statistics & numerical data , Adult , Hospitalization/statistics & numerical data , Aged , Physicians, Family/statistics & numerical data , Young Adult , Adolescent , Ambulatory Care Facilities/statistics & numerical data
8.
JAMA Netw Open ; 7(5): e2412050, 2024 May 01.
Article in English | MEDLINE | ID: mdl-38767916

ABSTRACT

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.


Subject(s)
COVID-19 , Healthcare Disparities , Neoplasms , SARS-CoV-2 , Humans , COVID-19/ethnology , COVID-19/epidemiology , COVID-19/therapy , Male , Female , Neoplasms/therapy , Neoplasms/ethnology , Neoplasms/epidemiology , Cross-Sectional Studies , United States/epidemiology , Middle Aged , Healthcare Disparities/ethnology , Healthcare Disparities/statistics & numerical data , Aged , Continuity of Patient Care/statistics & numerical data , Adult , Pandemics , Ethnicity/statistics & numerical data , Ethnic and Racial Minorities/statistics & numerical data , Hispanic or Latino/statistics & numerical data
9.
Appl Nurs Res ; 77: 151789, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38796252

ABSTRACT

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.


Subject(s)
Patient Discharge , Social Support , Tuberculosis, Pulmonary , Humans , Cross-Sectional Studies , Patient Discharge/statistics & numerical data , Female , Male , China , Middle Aged , Adult , Tuberculosis, Pulmonary/psychology , Surveys and Questionnaires , Aged , Continuity of Patient Care/statistics & numerical data
10.
BMJ Open Qual ; 13(2)2024 May 24.
Article in English | MEDLINE | ID: mdl-38789279

ABSTRACT

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.


Subject(s)
Patient Discharge , Subacute Care , Videoconferencing , Humans , Patient Discharge/statistics & numerical data , Patient Discharge/standards , Female , Subacute Care/methods , Subacute Care/statistics & numerical data , Subacute Care/standards , Male , Aged , Videoconferencing/statistics & numerical data , Aged, 80 and over , Continuity of Patient Care/statistics & numerical data , Continuity of Patient Care/standards , Skilled Nursing Facilities/statistics & numerical data , Skilled Nursing Facilities/organization & administration , Medical Errors/statistics & numerical data , Medical Errors/prevention & control , Patient Transfer/methods , Patient Transfer/statistics & numerical data , Patient Transfer/standards
11.
PLoS One ; 19(5): e0302966, 2024.
Article in English | MEDLINE | ID: mdl-38713681

ABSTRACT

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.


Subject(s)
Continuity of Patient Care , Maternal Health Services , Multilevel Analysis , Humans , Female , Tanzania , Adult , Pregnancy , Young Adult , Adolescent , Maternal Health Services/statistics & numerical data , Continuity of Patient Care/statistics & numerical data , Patient Dropouts/statistics & numerical data , Health Surveys , Middle Aged , Prenatal Care/statistics & numerical data , Postnatal Care/statistics & numerical data , Socioeconomic Factors
12.
J Am Board Fam Med ; 37(2): 166-171, 2024.
Article in English | MEDLINE | ID: mdl-38740470

ABSTRACT

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.


Subject(s)
Patient Discharge , Patient Readmission , Telemedicine , Humans , Patient Readmission/statistics & numerical data , Telemedicine/statistics & numerical data , Female , Male , Patient Discharge/statistics & numerical data , Middle Aged , Aged , Adult , Aftercare/statistics & numerical data , Aftercare/methods , Quality of Health Care/statistics & numerical data , Continuity of Patient Care/organization & administration , Continuity of Patient Care/statistics & numerical data
13.
Midwifery ; 133: 103998, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38615374

ABSTRACT

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.


Subject(s)
Continuity of Patient Care , Health Services Accessibility , Humans , Queensland , Female , Pregnancy , Continuity of Patient Care/economics , Continuity of Patient Care/statistics & numerical data , Continuity of Patient Care/standards , Health Services Accessibility/statistics & numerical data , Health Services Accessibility/economics , Health Services Accessibility/standards , Adult , Costs and Cost Analysis , Midwifery/economics , Midwifery/statistics & numerical data , Maternal Health Services/economics , Maternal Health Services/statistics & numerical data , Computer Simulation
14.
Am Heart J ; 273: 53-60, 2024 07.
Article in English | MEDLINE | ID: mdl-38621576

ABSTRACT

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.


Subject(s)
Continuity of Patient Care , Heart Failure , Medication Adherence , Humans , Heart Failure/drug therapy , Male , Female , Medication Adherence/statistics & numerical data , Cross-Sectional Studies , Continuity of Patient Care/statistics & numerical data , Aged , Middle Aged , Hospitalization/statistics & numerical data , Adrenergic beta-Antagonists/therapeutic use , Stroke Volume , Angiotensin Receptor Antagonists/therapeutic use , Angiotensin-Converting Enzyme Inhibitors/therapeutic use , Mineralocorticoid Receptor Antagonists/therapeutic use
15.
Can J Diabetes ; 48(5): 322-329.e5, 2024 Jul.
Article in English | MEDLINE | ID: mdl-38583767

ABSTRACT

OBJECTIVES: Our aim in this study was to identify the association between place of residence (metropolitan, urban, rural) and guideline-concordant processes of care in the first year of type 2 diabetes management. METHODS: We conducted a retrospective cohort study of new metformin users between April 2015 and March 2020 in Alberta, Canada. Outcomes were identified as guideline-concordant processes of care through the review of clinical practice guidelines and published literature. Using multivariable logistic regression, the following outcomes were examined by place of residence: dispensation of a statin, angiotensin-converting enzyme inhibitor (ACEi) or angiotensin II receptor blocker (ARB), eye examination, glycated hemoglobin (A1C), cholesterol, and kidney function testing. RESULTS: Of 60,222 new metformin users, 67% resided in a metropolitan area, 10% in an urban area, and 23% in a rural area. After confounder adjustment, rural residents were less likely to have a statin dispensed (adjusted odds ratio [aOR] 0.83, 95% confidence interval [CI] 0.79 to 0.87) or undergo cholesterol testing (aOR 0.86, 95% CI 0.83 to 0.90) when compared with metropolitan residents. In contrast, rural residents were more likely to receive A1C and kidney function testing (aOR 1.14, 95% CI 1.08 to 1.21 and aOR 1.17, 95% CI 1.11 to 1.24, respectively). ACEi/ARB use and eye examinations were similar across place of residence. CONCLUSIONS: Processes of care varied by place of residence. Limited cholesterol management in rural areas is concerning because this may lead to increased cardiovascular outcomes.


Subject(s)
Diabetes Mellitus, Type 2 , Hypoglycemic Agents , Rural Population , Urban Population , Humans , Diabetes Mellitus, Type 2/drug therapy , Diabetes Mellitus, Type 2/therapy , Diabetes Mellitus, Type 2/epidemiology , Retrospective Studies , Female , Male , Rural Population/statistics & numerical data , Middle Aged , Urban Population/statistics & numerical data , Aged , Hypoglycemic Agents/therapeutic use , Practice Guidelines as Topic/standards , Adult , Guideline Adherence/statistics & numerical data , Follow-Up Studies , Prognosis , Alberta/epidemiology , Continuity of Patient Care/standards , Continuity of Patient Care/statistics & numerical data
16.
Telemed J E Health ; 30(6): 1594-1599, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38350120

ABSTRACT

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.


Subject(s)
COVID-19 , HIV Infections , Healthcare Disparities , Telemedicine , Humans , South Carolina , COVID-19/epidemiology , HIV Infections/therapy , HIV Infections/epidemiology , Telemedicine/statistics & numerical data , Middle Aged , Male , Female , Healthcare Disparities/statistics & numerical data , Adult , SARS-CoV-2 , Viral Load , Pandemics , Continuity of Patient Care/statistics & numerical data
17.
J Addict Med ; 18(3): 331-334, 2024.
Article in English | MEDLINE | ID: mdl-38315721

ABSTRACT

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.


Subject(s)
Opiate Substitution Treatment , Opioid-Related Disorders , Primary Health Care , Rural Population , Social Determinants of Health , Humans , Male , Female , Opioid-Related Disorders/drug therapy , Adult , Middle Aged , Rural Population/statistics & numerical data , Opiate Substitution Treatment/statistics & numerical data , Telemedicine/statistics & numerical data , United States , Continuity of Patient Care/statistics & numerical data , Rural Health Services/statistics & numerical data
18.
J Gen Intern Med ; 39(8): 1431-1437, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38228989

ABSTRACT

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.


Subject(s)
Patient Discharge , Primary Health Care , Humans , Female , Male , Retrospective Studies , Primary Health Care/statistics & numerical data , Patient Discharge/statistics & numerical data , Middle Aged , Aged , Adult , Follow-Up Studies , Continuity of Patient Care/statistics & numerical data , Aftercare/statistics & numerical data , Aftercare/methods , Cohort Studies , Emergency Service, Hospital/statistics & numerical data , Hospitalization/statistics & numerical data
19.
SEMERGEN, Soc. Esp. Med. Rural Gen. (Ed. Impr.) ; 49(2): [e101911], mar. 2023. tab, graf
Article in Spanish | IBECS | ID: ibc-217187

ABSTRACT

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)


Subject(s)
Humans , Heart Failure , Patient Readmission , Primary Health Care , Continuity of Patient Care/statistics & numerical data , Retrospective Studies
20.
Pain Pract ; 23(4): 359-367, 2023 04.
Article in English | MEDLINE | ID: mdl-36514870

ABSTRACT

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.


Subject(s)
Analgesics , COVID-19 , Chronic Pain , Continuity of Patient Care , Pain Management , Pandemics , Adolescent , Adult , Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Young Adult , Analgesics/therapeutic use , Chronic Pain/drug therapy , Continuity of Patient Care/statistics & numerical data , COVID-19/epidemiology , Facial Pain/drug therapy , Musculoskeletal Pain/drug therapy , Neuralgia/drug therapy , Pain Management/statistics & numerical data
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