Hospital choice of rural Medicare beneficiaries: patient, hospital attributes, and the patient-physician relationship

Inter-regional patient outmigration to Seoul in South Korea: the role of regional healthcare quality perceptions

BACKGROUND

Public perception of healthcare quality reflects a people-centered approach to evaluating quality and influences healthcare utilization. Patient choice of healthcare providers is not solely based on objective measures, but varies with perceived quality factors such as experiences and trust. In South Korea, a large number of patients with severe diseases bypass their regional tertiary hospitals and receive treatment from a few tertiary hospitals located in the capital city Seoul: that is, they outmigrate. In this paper, we aimed to directly measure the public's feeling of reassurance with their regional healthcare system and examine it in explaining patient outmigration in South Korea.

METHODS

The data of this study came from an online survey involving 1,241 individuals that was conducted in 2020 - 2021 to investigate healthcare-related perceptions of the public. Using stated preference data on hypothetical vignettes involving a cancer diagnosis, we measured outmigration and feeling of reassurance. We performed a logistic regression to assess the association between the two variables, controlling for tertiary hospital beds, distance to Seoul, and sociodemographic characteristics.

RESULTS

Among 581 respondents, 65.6% reported that there is a regional hospital they felt reassured to visit when diagnosed with cancer, while 63.5% were inclined towards outmigration to Seoul when they need surgery for lung cancer. There was a clear and robust negative association between outmigration and feeling of reassurance, where individuals who felt reassured with their regional healthcare system were 18.6% points less likely to outmigrate to Seoul.

CONCLUSIONS

Individuals' feeling of reassurance with the regional healthcare system plays a crucial role in outmigration in South Korea. These results emphasize the need to consider patients' subjective perception of quality in analyzing patients' decision-making and hospital choice. Policy efforts to alleviate the concentration of patients into Seoul should consider how the public perceives and interprets the regional-level quality of care.

Where Do Clients Receive Methadone Treatment? Exploring Bypassing Behaviors in Methadone Treatment Clients: Temporal, Geographic, and Demographic Factors

Background

Few studies have examined where clients receive methadone treatment for opioid use disorder relative to their residences. Commuting time affects access to care, and anecdotal evidence suggests clients often bypass closer methadone providers. This study quantifies (a) bypass patterns in Los Angeles County, (b) gender, age, and ethnoracial differences in bypassing, and (c) links between bypassing and facility attributes.

Methods

Using retrospective multiyear analysis, we matched opioid treatment episodes with commuting times between clients' ZIP codes and treatment facilities. From 16 972 outpatient episodes (2010-2017), data were paired with Google Maps commuting estimates. The study covered 32 methadone facilities and 8627 unique clients. We determined the difference in driving time (a proxy for commuting time) from the nearest (bypassed) provider to the provider where the client was treated, deriving bypass and extended commute rates. We compared the rates of a scaled bypassing variable across racial, ethnic, and gender groups. We examined rates by grouping and by facility characteristics of the closest provider.

Results

Bypassing occurred in 48.9% of episodes; 21.0% involved extra commute time of 5+ minutes beyond the closest facility. Bypass rates varied significantly across racial, ethnic, and gender groups. Black or African American clients showed higher bypass rates than non-Latino white clients. Latino female clients had lower rates and shorter commutes than Latino male clients (P < .01). Larger methadone facilities experienced fewer bypassing and Black clients were found to typically bypass in favor of providers with longer wait times than other groups in the study.

Implications

This is the first study investigating client and facility characteristics relating to methadone treatment bypassing in a major U.S. care system. The results highlight significant bypass rates affecting efficient access. Findings have implications for opioid treatment system design, particularly to improve access to quality care for underserved communities.

Referral Networks, Racial Inequity, and Hospital Quality for Open Heart Surgery

BACKGROUND

Differences in the quality of hospitals where Black and White patients receive coronary artery bypass grafting (CABG) surgery have been documented. We examined the contributions of physician networks to the gap.

METHODS

This was a cross-sectional study of all Medicare fee-for-service Black and White patients undergoing elective CABG during 2017 to 2019; the primary care physicians and cardiologists treating them for 12 months before surgery (the patients' physician network); and CABG-performing hospitals within 100 miles of each patient. We measured the strength of ties between treating physicians and hospitals as the number of shared prior CABG patients (24 months before surgery). Conditional logit models assessed the relationship between race, prior physician-hospital ties, and receiving CABG at hospitals with minimum versus the median-above-minimum mortality difference, while accounting for home-to-hospital distances.

RESULTS

The study included 76 376 patients; 5.1% were Blackpatients. Black and White patients were admitted to similar mortality hospitals (3.1% versus 3.1%; P=0.07), but Black patients lived closer to lower-mortality hospitals than White patients (mean hospital mortality within median travel distance, 2.5% versus 2.7%; P<0.001). Black patients were treated less often at the lowest-mortality hospitals overall and within the median travel distance (10.5% versus 13.9% and 37.4% versus 45.1%; P<0.001 for both). In conditional logit models, the Black-White risk ratio of using hospitals with median versus lowest mortality was 1.02 ([95% CI, 0.98-1.06]; P=0.18) in models including only race and hospital mortality; 1.07 ([95% CI, 1.01-1.13]; P<0.001) in models adding home-to-hospital distances; and 1.06 ([95% CI, 0.96-1.16]; P=0.11) in models also accounting for physician-hospital ties.

CONCLUSIONS

Despite the improvement of previously described disparities in the quality of hospitals treating Black and White patients, Black patients remain less likely to undergo CABG at their lowest available mortality hospitals, possibly due to suboptimal physician referrals.

Effect on Travel Distance of a Statewide Regionalization Policy for Initial Breast Cancer Surgery

PURPOSE

Reimbursement strategies to regionalize care can be effective for improving patient outcomes but may adversely affect access to care. We sought to determine the effect on travel distance for surgical treatment of a 2009 New York State (NYS) policy restricting Medicaid reimbursement for breast cancer surgery at low-volume hospitals.

PATIENTS AND METHODS

From a linked data set merging the NYS tumor registry with hospital discharge data, we identified women younger than 65 years with stage I-III first breast tumors from pre- and post-policy periods. We classified patients by urbanicity of their residence into four geographic areas (New York City, other large urban core, suburban/large town, and small town/rural). A multivariable difference-in-difference-in-differences model was used to estimate the policy effect on the distance traveled by Medicaid and non-Medicaid insured patients before and after the policy, by area of residence.

RESULTS

Among the 46,029 study sample, 13.5% were covered by Medicaid. Regardless of insurance, women treated more recently traveled longer distances to their surgical facility than those in the prepolicy period. Regardless of time period, Medicaid beneficiaries drove fewer miles to treatment than women with other insurance. Although all women traveled greater distances postpolicy, the increase was not significantly different by insurance status (Medicaid or not), except for those living in suburban areas in which Medicaid patients traveled further postpolicy (+7.7 miles compared with +3.4 miles for non-Medicaid; P = .007).

CONCLUSION

After a policy regionalizing surgical care, only suburban Medicaid patients experienced a statistically significant (albeit small) increase in travel distance compared with non-Medicaid patients. In the state of NY, regionalization of breast cancer care yielded improved outcomes with minimal decrease in access.

Personal variation in patient-centered relevance Index based on individual characteristics and medical conditions among patients with diabetes Mellitus in Korea

OBJECTIVES

This study aimed to identify patients at higher risk for regional disengagement from health services using the Patient-centered Relevance Index (P-RI).

METHODS

This nationwide retrospective cohort study analyzed the relationship between the P-RI and individual patient characteristics, including medical conditions and healthcare utilization patterns. The National Health Insurance Service claims database was used to characterize healthcare utilization by 3,046,914 patients with DM from 2017 to 2020.

RESULTS

As compared to the mild condition group, all other groups had a lower P-RI. Significant differences were observed among the groups with P-RI lower by 16.5%, 14%, 13%, 0.4%, and 0.6% in the repeated inpatient treatment (β = -0.165, P < 0.001), complication (β = -0.141, P < 0.001), extended long-term care stay (β = -0.130, P < 0.001), comorbidity (β = -0.041, P < 0.001), and other (β = -0.058, P < 0.001) groups, respectively. Additionally, the P-RI was high among low-income and older patients with high acuity.

DISCUSSION

South Korea's healthcare delivery system is not regionally self-sufficient. A relatively low P-RI in the high income and younger groups indicates healthcare access inequity. Therefore, a continuous management system that ensures uniform healthcare access needs to be established.

Use of computer simulation to identify effects on hospital census with reduction of transfers for non-procedural patients in community hospitals

OBJECTIVE

In-person healthcare delivery is rapidly changing with a shifting employment landscape and technological advances. Opportunities to care for patients in more efficient ways include leveraging technology and focusing on caring for patients in the right place at the right time. We aim to use computer modelling to understand the impact of interventions, such as virtual consultation, on hospital census for referring and referral centres if non-procedural patients are cared for locally rather than transferred.

PATIENTS AND METHODS

We created computer modelling based on 25 138 hospital transfers between June 2019 and June 2022 with patients originating at one of 17 community-based hospitals and a regional or academic referral centre receiving them. We identified patients that likely could have been cared for at a community facility, with attention to hospital internal medicine and cardiology patients. The model was run for 33 500 days.

RESULTS

Approximately 121 beds/day were occupied by transferred patients at the academic centre, and on average, approximately 17 beds/day were used for hospital internal medicine and nine beds/day for non-procedural cardiology patients. Typical census for all internal medicine beds is approximately 175 and for cardiology is approximately 70.

CONCLUSION

Deferring transfers for patients in favour of local hospitalisation would increase the availability of beds for complex care at the referral centre. Potential downstream effects also include increased patient satisfaction due to proximity to home and viability of the local hospital system/economy, and decreased resource utilisation for transfer systems.

Examination of the Black-White racial disparity in severe maternal morbidity among Georgia deliveries, 2016 to 2020

BACKGROUND

Studies find that delivery hospital explains a significant portion of the Black-White gap in severe maternal morbidity. No such studies have focused on the US Southeast, where racial disparities are widest, and few have examined the relative contribution of hospital, residential, and maternal factors.

OBJECTIVE

This study aimed to estimate the portion of Georgia's Black-White gap in severe maternal morbidity during delivery through 42 days postpartum explained by hospital, residential, and maternal factors.

STUDY DESIGN

Using linked Georgia hospital discharge, birth, and fetal death records for 2016 through 2020, we identified 413,124 deliveries to non-Hispanic White (229,357; 56%) or Black (183,767; 44%) individuals. We linked hospital data from the American Hospital Association and Center for Medicare and Medicaid Services, and area data from the Area Resource File and American Community Survey. We identified severe maternal morbidity indicator conditions during delivery or subsequent hospitalizations through 42 days postpartum. Using race-specific logistic models followed by a decomposition technique, we estimated the portion of the Black-White severe maternal morbidity gap explained by the following: (1) sociodemographic factors (age, education, marital status, and nativity), (2) medical conditions (diabetes mellitus, gestational diabetes, chronic hypertension, gestational hypertension or preeclampsia, and smoking), (3) obstetrical factors (singleton or multiple, and birth order); (4) access to care (no or third trimester care, and payer), (5) hospital factors that are time-varying (delivery volume, deliveries per full-time equivalent nurse, doctor communication, patient safety, and adverse event composite score) or measured time-invariant characteristics (ownership, profit status, religious affiliation, teaching status, and perinatal level), and (6) residential factors (county urban/rural classification, percent uninsured women of reproductive age, obstetrician-gynecologists per women of reproductive age, number of federally-qualified and community health centers, medically-underserved area [yes/no], and census tract neighborhood deprivation index). We estimated models with and without hospital fixed-effects, which account for unobserved time-invariant hospital characteristics such as within-hospital care processes or unmeasured hospital-specific factors.

RESULTS

There was 1.8 times the rate of severe maternal morbidity per 100 discharges among non-Hispanic Black (3.15) than among White (1.73) individuals, with an explained proportion of 30.4% in models without and 49.8% in models with hospital fixed-effects. In the latter, hospital fixed-effects explained the largest portion of the Black-White severe maternal morbidity gap (15.1%) followed by access to care (14.9%) and sociodemographic factors (14.4%), with residential factors being protective for Black individuals (-7.5%). Smaller proportions were explained by medical (5.6%), obstetrical (4.0%), and time-varying hospital factors (3.2%). Within each category, the largest explanatory portion was payer type (13.3%) for access to care, marital status (10.3%) for sociodemographic, gestational hypertension (3.3%) for medical, birth order (3.6%) for obstetrical, and patient safety indicator (3.1%) for time-varying hospital factors.

CONCLUSION

Models with hospital fixed-effects explain a greater proportion of Georgia's Black-White severe maternal morbidity gap than models without them, thereby supporting the point that differences in care processes or other unmeasured factors within the same hospital translate into racial differences in severe maternal morbidity during delivery through 42 days postpartum. Research is needed to discern and ameliorate sources of within-hospital differences in care. The substantial proportion of the gap attributable to racial differences in access to care and sociodemographic factors points to other needed policy interventions.

The segregation of physician networks providing care to black and white patients with heart disease: Concepts, measures, and empirical evaluation

Black-White disparities in cardiac care may be related to physician referral network segregation. We developed and tested new geographic physician network segregation measures. We used Medicare claims to identify Black and White Medicare heart disease patients and map physician networks for 169 hospital referral regions (HRRs) with over 1000 Black patients. We constructed two network segregation indexes ranging from 0 (integration) to 100 (total segregation): Dissimilarity (the unevenness of Black and White patient distribution across physicians [Dn]) and Absolute Clustering (the propensity of Black patients' physicians to have closer ties with each other than with other physicians [ACLn]). We employed conditional logit models to estimate the probability of using the best (lowest mortality) geographically available hospital for Black and White patients undergoing coronary artery bypass grafting (CABG) surgery in 126 markets with sufficient sample size at increasing levels of network segregation and for low vs. high HRR Black patient population. Physician network segregation was lower than residential segregation (Dissimilarity 21.9 vs. 48.7, and Absolute Clustering 4.8 vs. 32.4) and positively correlated with residential segregation (p < .001). Network segregation effects differed by race and HRR Black patient population. For White patients, higher network segregation was associated with a higher probability of using the best available hospitals in HRRs with few black patients but unchanged (ACLn) or lower (Dn) probability of best hospital use in HRRs with many Black patients. For Black patients, higher network segregation was not associated with a substantial change in the probability of best hospital use regardless of the HRR Black patient population size. Measuring physician network segregation is feasible and associated with nuanced effects on Black-White differences in high-quality hospital use for heart disease. Further work is needed to understand underlying mechanisms and potential uses in health equity policy.

Hospital and Patient Factors Affecting Veterans' Hospital Choice

Veterans enrolled in the Veterans Affairs (VA) health care system gained greater access to non-VA care beginning in 2014. We examined hospital and Veteran characteristics associated with hospital choice. We conducted a longitudinal study of elective hospitalizations 2011 to 2017 in 11 states and modeled patients' choice of VA hospital, large non-VA hospital, or small non-VA hospital in conditional logit models. Patients had higher odds of choosing a hospital with an academic affiliation, better patient experience rating, location closer to them, and a more common hospital type. Patients who were male, racial/ethnic minorities, had higher VA enrollment priority, and had a mental health comorbidity were more likely than other patients to choose a VA hospital than a non-VA hospital. Our findings suggest that patients respond to certain hospital attributes. VA hospitals may need to maintain or achieve high levels of quality and patient experience to attract or retain patients in the future.

Patient and Hospital Characteristics Associated With the Interhospital Transfer of Adult Patients With Sepsis

IMPORTANCE

The interhospital transfer (IHT) of patients with sepsis to higher-capability hospitals may improve outcomes. Little is known about patient and hospital factors associated with sepsis IHT.

OBJECTIVES

We evaluated patterns of hospitalization and IHT and determined patient and hospital factors associated with the IHT of adult patients with sepsis.

DESIGN

Retrospective cohort study.

SETTING AND PARTICIPANTS

A total of 349,938 adult patients with sepsis at 329 nonfederal hospitals in California, 2018-2019.

MAIN OUTCOMES AND MEASURES

We evaluated patterns of admission and outward IHT between low sepsis-, intermediate sepsis-, and high sepsis-capability hospitals. We estimated odds of IHT using generalized estimating equations logistic regression with bootstrap stepwise variable selection.

RESULTS

Among the cohort, 223,202 (66.4%) were initially hospitalized at high-capability hospitals and 10,870 (3.1%) underwent IHT. Nearly all transfers (98.2%) from low-capability hospitals were received at higher-capability hospitals. Younger age (< 65 yr) (adjusted odds ratio [aOR] 1.54; 95% CI, 1.40-1.69) and increasing organ dysfunction (aOR 1.22; 95% CI, 1.19-1.25) were associated with higher IHT odds, as were admission to low-capability (aOR 2.79; 95% CI, 2.33-3.35) or public hospitals (aOR 1.35; 95% CI, 1.09-1.66). Female sex (aOR 0.88; 95% CI, 0.84-0.91), Medicaid insurance (aOR 0.59; 95% CI, 0.53-0.66), home to admitting hospital distance less than or equal to 10 miles (aOR 0.92; 95% CI, 0.87-0.97) and do-not-resuscitate orders (aOR 0.48; 95% CI, 0.45-0.52) were associated with lower IHT odds, as was admission to a teaching hospital (aOR 0.83; 95% CI, 0.72-0.96).

CONCLUSIONS AND RELEVANCE

Most patients with sepsis are initially hospitalized at high-capability hospitals. The IHT rate for sepsis is low and more likely to originate from low-capability and public hospitals than from high-capability and for-profit hospitals. Transferred patients with sepsis are more likely to be younger, male, sicker, with private medical insurance, and less likely to have care limitation orders. Future studies should evaluate the comparative benefits of IHT from low-capability hospitals.

Role of neighborhood context in ovarian cancer survival disparities: current research and future directions

Ovarian cancer is the fifth leading cause of cancer-associated mortality among US women with survival disparities seen across race, ethnicity, and socioeconomic status, even after accounting for histology, stage, treatment, and other clinical factors. Neighborhood context can play an important role in ovarian cancer survival, and, to the extent to which minority racial and ethnic groups and populations of lower socioeconomic status are more likely to be segregated into neighborhoods with lower quality social, built, and physical environment, these contextual factors may be a critical component of ovarian cancer survival disparities. Understanding factors associated with ovarian cancer outcome disparities will allow clinicians to identify patients at risk for worse outcomes and point to measures, such as social support programs or transportation aid, that can help to ameliorate such disparities. However, research on the impact of neighborhood contextual factors in ovarian cancer survival and in disparities in ovarian cancer survival is limited. This commentary focuses on the following neighborhood contextual domains: structural and institutional context, social context, physical context represented by environmental exposures, built environment, rurality, and healthcare access. The research conducted to date is presented and clinical implications and recommendations for future interventions and studies to address disparities in ovarian cancer outcomes are proposed.

American Indians travel great distances for obstetrical care: Examining rural and racial disparities

Rural, American Indian/Alaska Native (AI/AN) people, a population at elevated risk for complex pregnancies, have limited access to risk-appropriate obstetric care. Obstetrical bypassing, seeking care at a non-local obstetric unit, is an important feature of perinatal regionalization that can alleviate some challenges faced by this rural population, at the cost of increased travel to give birth. Data from five years (2014-2018) of birth certificates from Montana, along with the 2018 annual survey of the American Hospital Association (AHA) were used in logistic regression models to identify predictors of bypassing, with ordinary least squares regression models used to predict factors associated with the distance (in miles) birthing people drove beyond their local obstetric unit to give birth. Logit analyses focused on hospital-based births to Montana residents delivered during this time period (n = 54,146 births). Distance analyses focused on births to individuals who bypassed their local obstetric unit to deliver (n = 5,991 births). Individual-level predictors included maternal sociodemographic characteristics, location, perinatal health characteristics, and health care utilization. Facility-related measures included level of obstetric care of the closest and delivery hospitals, and distance to the closest hospital-based obstetric unit. Findings suggest that birthing people living in rural areas and on American Indian reservations were more likely to bypass to give birth, with bypassing likelihood depending on health risk, insurance, and rurality. AI/AN and reservation-dwelling birthing people traveled significantly farther when bypassing. Findings highlight that distance traveled was even farther for AI/AN people facing pregnancy health risks (23.8 miles farther than White people with pregnancy risks) or when delivering at facilities offering complex care (14-44 miles farther than White people). While bypassing may connect rural birthing people to more risk-appropriate care, rural and racial inequities in access persist, with rural, reservation-dwelling AI/AN birthing people experiencing greater likelihood of bypassing and traveling greater distances when bypassing.

Policy Recommendations for Improving Rural Cancer Services in the United States

Compared with urban residents, rural Americans have seen slower declines in cancer deaths, have lower incidence but higher death rates from cancers that can be prevented through screening, have lower screening rates, are more likely to present with later-stage cancers, and have poorer cancer outcomes and lower survival. Rural health provider shortages and lack of cancer services may explain some disparities. The literature was reviewed to identify factors contributing to rural health care capacity shortages and propose policy recommendations for improving rural cancer care. Uncompensated care, unfavorable payer mix, and low patient volume impede rural physician recruitment and retainment. Students from rural areas are more likely to practice there but are less likely to attend medical school because of lower graduation rates, grades, and Medical College Admission Test (MCAT) scores versus urban students. The cancer care infrastructure is costly and financially challenging in rural areas with high proportions of uninsured and publicly insured patients. A lack of data on oncology providers and equipment impedes coordinated efforts to address rural shortages. Graduate Medical Education funding greatly favors large, urban, tertiary care teaching hospitals over residency training in rural, critical access and community-based hospitals and clinics. Policies have the potential to transform rural health care. This includes increasing advanced practice provider postgraduate oncology training opportunities and expanding the scope of practice; improving health workforce and services data collection and aggregation; transforming graduate medical education subsidies to support rural student recruitment and rural training opportunities; and expanding federal and state financial incentives and payments to support the rural cancer infrastructure.

Capturing What Matters with Patients' Bypass Behavior? Evidence from a Cross-Sectional Study in China

BACKGROUND

In China, bypassing is becoming increasingly prevalent. Such behavior, as going directly to upper-level health-care facilities without a primary care provider (PCP) referral when facing non-critical diseases, contrasts to "expanding the role of PCPs as the first-contact of care", may cause unneglectable damage to the healthcare system and people's physical health.

OBJECTIVE

To examine the relationship between patient experience in primary health-care clinics (PHCs) and their bypass behavior.

METHODS

A cross-sectional study was designed for data collection. From July 2021 to August 2021, we conducted a questionnaire survey nationally. Fifty-three investigators were dispatched to 212 pre-chosen PHCs, around which 1060 interviewees were selected to gather information, using a convenience sampling. The primary independent variable was scores measured by Chinese Primary Care Assessment Tool (PCAT-C) to quantify patients' experience at PHCs. The dependent variable was a binary variable measured by a self-developed instrument to identify whether participants actually practiced bypassing. Covariates were well-screened determinants of patients' bypass behavior including socio-demographic factors, policy factors, and health-care suppliers. Binary logistic regression analysis was employed to evaluate the association of patients' experience with their bypass behavior.

FINDINGS

A total of 928 qualified questionnaires were obtained. The first contact dimension (OR 0.961 [95% CI 0.934 to 0.988], P = 0.005) and continuity dimension (OR 1.034 [95% CI 1.000 to 1.068], P = 0.047) of patients' experience were significantly associated with patients' bypass behavior (P < 0.05). In addition, age (OR 1.072, [95% CI 1.015-1.132], P = 0.013) and gender (OR 2.044, [95% CI 1.139-3.670], P = 0.017) also made a statistically significant difference.

CONCLUSION

Enhancement in patient experience at PHCs may help reduce their bypass behavior. Specifically, efforts are needed to improve primary care accessibility and utilization. The positive correlation between bypassing rates and continuity scores may require more attention on strengthening PCPs' technical quality besides the quality of interpersonal interactions.

The Impact of Commission on Cancer Accreditation Status, Hospital Rurality and Hospital Size on Quality Measure Performance Rates

BACKGROUND

Rural cancer patients receive lower-quality care and experience worse outcomes than urban patients. Commission on Cancer (CoC) accreditation requires hospitals to monitor performance on evidence-based quality measuresPlease confirm the list of authors is correc, but the impact of accreditation is not clear due to lack of data from non-accredited facilities and confounding between patient rurality and hospital accreditation, rurality, and size.

METHODS

This retrospective, observational study assessed associations between rurality, accreditation, size, and performance rates for four CoC quality measures (breast radiation, breast chemotherapy, colon chemotherapy, colon nodal yield). Iowa Cancer Registry data were queried to identify all eligible patients diagnosed between 2011 and 2017. Cases were assigned to the surgery hospital to calculate performance rates. Univariate and multivariate regression models were fitted to identify patient- and hospital-level predictors and assess trends.

RESULTS

The study cohort included 10,381 patients; 46% were rural. Compared with urban patients, rural patients more often received treatment at small, rural, and non-accredited facilities (p < 0.001 for all). Rural hospitals had fewer beds and were far less likely to be CoC-accredited than urban hospitals (p < 0.001 for all). On multivariate analysis, CoC accreditation was the strongest, independent predictor of higher hospital performance for all quality measures evaluated (p < 0.05 in each model). Performance rates significantly improved over time only for the colon nodal yield quality measure, and only in urban hospitals.

CONCLUSIONS

CoC accreditation requires monitoring and evaluating performance on quality measures, which likely contributes to better performance on these measures. Efforts to support rural hospital accreditation may improve existing disparities in rural cancer treatment and outcomes.

Status and associated factors of cross-regional healthcare-seeking among patients with advanced colorectal cancer in China: a multicenter cross-sectional study

Background

The imbalanced allocation of medical resources leads to the occurrence of cross-regional healthcare-seeking in China. Due to the low cure rate, advanced colorectal cancer (CRC) patients may seek cross-regional healthcare for high-level medical facilities. Investigating status of cross-regional healthcare-seeking and its associated factors among advanced CRC patients is important for policymakers to understand access to health services and improve the quality of oncology services.

Methods

From March 2020 to March 2021, a cross‑sectional, nation-wide, hospital-based, multi-center survey was conducted. Nineteen hospitals in seven regions were selected by multi-stage stratified sampling. All eligible CRC patients in the selected hospitals were invited to participate in the current study. The outcome variable, cross-regional healthcare-seeking, was defined as seeking health facilities outside the local administration policy of medical insurance. The demographics, clinical information, and medical treatment history of each eligible CRC patient in stage III or IV, were collected through the patients' self-reporting or medical records by trained interviewers. Univariate and multivariate logistic analyses were used to explore the associated factors of cross-regional healthcare-seeking. All statistical analyses were conducted using SAS 9.4.

Results

A total of 4,589 individuals with advanced CRC were included. The average age of the patients was 60.1±11.6 years, and 59.5% were males. About 37.5% of the patients suffered from metastatic CRC at first diagnosis. Approximately 36.5% of the patients had sought cross-regional health care previously, and among them, 31.9% had encountered problems. The most common problems included complicated procedures (95.3%), unreimbursed expenses of outpatient service (71.0%), and reimbursement delay (59.4%). Logistic regression analysis showed that patients who completed undergraduate or above [odds ratio (OR) =1.40, 95% confidence interval (CI): 1.13-1.73], had an annual household income of more than 100,000 Chinse Yuan (CNY) (OR =1.46, 95% CI: 1.21-1.78), and had metastasis at diagnosis (OR =1.33, 95% CI: 1.18-1.51) were more likely to seek cross-regional health care.

Conclusions

About one third of advanced CRC patients seek cross-regional health care, and 31.9% had encountered problems. There is a need to simplify procedures of reimbursement, optimize direct settlement system and referral mechanisms in order to improve the equality of health services.

Association of Socioeconomic Characteristics With Where Children Receive Emergency Care

OBJECTIVE

Outcomes of emergency care delivered to children vary by patient-level socioeconomic factors and by emergency department (ED) characteristics, including pediatric volume. How these factors intersect in emergency care-seeking patterns among children is not well understood. The objective of this study was to characterize national associations of neighborhood income and insurance type of children with the characteristics of the EDs from which they receive care.

METHODS

We conducted a cross-sectional study of ED visits by children from 2014 to 2017 using the Nationwide Emergency Department Sample. We determined the associations of neighborhood income and patient insurance type with the proportions of visits to EDs by pediatric volume category, both unadjusted and adjusted for patient-level factors including urban-rural status of residence.

RESULTS

Of 107.6 million ED visits by children nationally from 2014 to 2017, children outside of the wealthiest neighborhood income quartile had lower proportions of visits to high-volume pediatric EDs (57.1% poorest quartile, 51.5% second, 56.6% third, 63.5% wealthiest) and greater proportions of visits to low-volume pediatric EDs (4.4% poorest, 6.4% second, 4.6% third, 2.3% wealthiest) than children in the wealthiest quartile. Adjustment for patient-level factors, particularly urban-rural status, inverted this association, revealing that lower neighborhood income was independently associated with visiting higher-volume pediatric EDs. Publicly insured children were modestly more likely to visit higher-volume pediatric EDs than privately insured and uninsured children in both unadjusted and adjusted analyses.

CONCLUSIONS

Nationally, children in lower-income neighborhoods tended to receive care in pediatric EDs with lower volume, an association that appears principally driven by urban-rural differences in access to emergency care.

Potential bypassing of nearest emergency department by EMS transports

OBJECTIVE

Guidelines recommend emergency medical services (EMS) patients to be transported to the nearest appropriate emergency department (ED). Our objective was to estimate the prevalence of EMS transport to an ED other than the nearest ED ("potential bypassing").

DATA SOURCES

Illinois Prehospital Patient Care Report Data of EMS transports (July 2019 to December 2019).

DATA COLLECTION/EXTRACTION METHODS

We identified all EMS ground transports with an advanced life-support (ALS) paramedic to an ED for patients aged 21 years and older. Using street address of incident location, we performed geocoding and driving route analyses and obtained estimated driving distance and time to the destination ED and alternative EDs.

MAIN OUTCOME AND MEASURES

Our main outcomes were dichotomous indicators of potential bypassing of the nearest ED based on distance and time. As secondary outcomes we examined potential bypassing indicators based on excess driving distance and time.

STUDY DESIGN

We used Poisson regression models to obtain adjusted relative rates of potential bypassing indicators by acuity level, primary impression, patient demographics and geographic characteristics.

PRINCIPAL FINDINGS

Our study cohort of 361,051 EMS transports consisted of 5.8% critical, 37.2% emergent and 57.0% low acuity cases transported to 222 EDs. The observed rate of potential bypassing was approximately 34% of cases for each acuity level. Treating the cardiovascular primary impression code group as the reference case, we found small to no differences in potential bypassing rates across other primary impression code groups of all acuity levels, with the exception of critical acuity trauma cases for which potential bypassing rate was 64% higher (incidence rate ratio = 1.64, 95% confidence interval, 1.54-1.74). Compared to zip codes with one ED within a 5-mile vicinity, potential bypassing was higher in areas with no ED or multiple EDs within a 5-mile vicinity.

CONCLUSION

Approximately one-third of EMS transports potentially bypassed the nearest ED. EMS transport destination may be motivated by factors other than proximity.

Inter-Regional Hospital Patients' Mobility in Italy

Background: The federalization of the Italian National Health Service (NHS) gave administrative, financial, and managerial independence to regions. They are in reciprocal competition according to the “quasi-market” model. A network of independent providers replaced the state monopoly. The NHS, based on the Beveridge model in which citizens are free to choose their place of treatment, was consolidated. The aim of our research was to analyze the fulfillment of need for hospital services on site and patients’ migration to hospitals of other regions. Material and Methods: We analyzed data from 2013 to 2017 of Hospital Discharge Cards (HDCs) provided by the Ministry of Health. The subjects of the analysis (catchment areas) were the hospital networks of every Italian region. The study of flows was developed through Internal Demand Satisfaction, Attraction, Escape, Attraction, Absorption, and Escape Production indexes. Graphic representations were produced using Gandy’s Nomogram and Qgis software. Results: In the studied period, the mean number of mobility admission was 678.659 ± 3.388, with an increase of 0.90%; in particular, the trend for ordinary regime increased 1.17%. Regions of central/northern Italy have attracted more than 60% of the escapes of the southern ones. Gandy’s Nomogram showed that only nine regions had optimal public hospital planning (Lombardy, Autonomous Province of Bolzano, Veneto, Friuli V.G., Emilia-Romagna, Tuscany, Umbria, Latium and Molise). Conclusion: The central/northern regions appear more able to meet the care needs of their citizens and to attract patients than the southern ones.

Access to Chimeric Antigen Receptor T Cell Therapy for Diffuse Large B Cell Lymphoma

INTRODUCTION

Geographic access to novel oncology therapies, and the extent to which it may vary by potential sites of care, regions, and population characteristics, is poorly understood. We examined how expanding access to chimeric antigen receptor (CAR) T cell therapy administration sites impacts patient travel distances and time.

METHODS

We used geographic information system techniques to calculate shortest travel distance and time between patients with relapsed/refractory diffuse large B cell lymphoma (DLBCL) and the nearest CAR T cell therapy administration site in three scenarios: academic hospitals; academic and community multispecialty hospitals; and academic and community multispecialty hospitals plus nonacademic specialty oncology network centers. Main outcome measures were differences in travel distance and time among the scenarios and the relationship between travel time and socioeconomic status, race, rural-urban areas, and non-Hodgkin lymphoma clusters. Non-Hodgkin lymphoma incidence, socioeconomic status, and administration centers were derived from governmental/publicly available data sources.

RESULTS

Of 3922 patients eligible for CAR T cell therapy, more than 37% had to travel more than 1 h to the nearest academic hospital. Average travel time and distance were significantly reduced by 23% and 30% (P < 0.001), respectively, when access was expanded to include community hospitals plus a broader range of oncology specialty treatment centers. Compared to academic hospitals alone, increasing access to include community hospitals decreased time and distance by 7% and 8% (P < 0.01), respectively. In addition, there would be a lower proportion of sites operating as the only care provider within 25 miles if access was expanded outside of academic hospitals only. Longer travel time was associated with lower socioeconomic status.

CONCLUSION

Many patients with DLBCL have long travel times to an academic hospital that administers CAR T cell therapy. Expanding access to care through site-of-care planning will help address regional, rural-urban, and sociodemographic equity in the geographic allocation of CAR T cell therapy.

Bypassing primary care facilities: health-seeking behavior of middle age and older adults in China

BACKGROUND

With economic development, aging of the population, improved insurance coverage, and the absence of a formal referral system, bypassing primary healthcare facilities appear to have become more common. Chinese patients tend to visit the secondary or tertiary healthcare facilities directly leading to overcrowding at the higher-level facilities. This study attempts to analyze the factors associated with bypassing primary care facilities among patients of age 45 years or older in China.

METHODS

Random effects logistic models were used to examine bypassing of primary health facilities among rural-urban patients. Data from 2011 to 2015 waves of the China Health and Retirement Longitudinal Study were used.

RESULTS

Two in five older patients in China bypass primary health centers (PHC) to access care from higher-tier facilities. Urban patients were nearly twice as likely as rural patients to bypass PHC. Regardless of rural-urban residence, our analysis found that a longer travel time to primary facilities compared to higher-tier facilities increases the likelihood of bypassing. Patients with higher educational attainment were more likely to bypass PHCs. In rural areas, patients who reported their health as poor or those who experienced a recent hospitalization had a higher probability of bypassing PHC. In urban areas, older adults (age 65 years or older) were more likely to bypass PHC than the younger group. Patients with chronic conditions like diabetes also had a higher probability of bypassing.

CONCLUSIONS

The findings indicate the importance of strengthening the PHCs in China to improve the efficiency and effectiveness of the health system. Significantly lower out-of-pocket costs at the PHC compared to costs at the higher tiers had little or no impact on increasing the likelihood of utilizing the PHCs. Improving service quality, providing comprehensive person-centered care, focusing on family health care needs, and providing critical preventive services will help increase utilization of PHCs as well as the effectiveness and efficiency of the health system.

A spatio-temporal Bayesian model to estimate risk and evaluate factors related to drug-involved emergency department visits in the greater Baltimore metropolitan area

The ongoing opioid overdose epidemic in the United States presents a major public health challenge. Opioid-involved morbidity, especially nonfatal emergency department (ED) visits, are a key opportunity to prevent mortality and measure the extent of the problem in the local substance use landscape. Data on the rate of ED visits is normally distributed by federal agencies. However, state- and substate-level rates of ED visit demonstrate significant geographic variation. This study uses an ongoing sample of ED visits from four hospitals in the University of Maryland Medical System from January 2016 to December 2019 to provide locally sensitive information on ED visit rates and risk for drug-related health outcomes. Using exploratory spatial data analysis and spatio-temporal Bayesian models, this study analyzes both the frequency and risk of heroin-, methadone-, and cocaine-involved ED visits across the greater Baltimore Maryland area at the Zip Code Tabulation Area-level (ZCTA). The Global Moran's I for total heroin-, methadone-, and cocaine-involved ED visits in 2019 was 0.44, 0.56, and 0.53, demonstrating strong positive spatial autocorrelation. Spatio-temporal Bayesian models indicated that ZCTA with a higher score in a deprivation index, with a higher share of Centers for Medicare Services claims, and adjacent to a sampled UMMS hospital had an increased risk of ED visits, with variation in the magnitude of this increased risk depending on the drug-demographic strata. Modeled disease risk surfaces - including posterior median risk and posterior exceedance probabilities - showed distinctly different risk surfaces between the substances of interest, probabilistically identifying ZCTA with a lower or higher risk of ED visits. The modeling approach used a sample of ED visits from a larger health system to estimate recent, locally sensitive drug-related morbidity across a large metropolitan area.

Access to risk-appropriate hospital care and disparities in neonatal outcomes in racial/ethnic groups and rural-urban populations

Variations in infant and neonatal mortality continue to persist in the United States and in other countries based on both socio-demographic characteristics, such as race and ethnicity, and geographic location. One potential driver of these differences is variations in access to risk-appropriate delivery care. The purpose of this article is to present the importance of delivery hospitals on neonatal outcomes, discuss variation in access to these hospitals for high-risk infants and their mothers, and to provide insight into drivers for differences in access to high-quality perinatal care using the available literature. This review also illustrates the lack of information on a number of topics that are crucial to the development of evidence-based interventions to improve access to appropriate delivery hospital services and thus optimize the outcomes of high-risk mothers and their newborns.

The bypassing of healthcare facilities among National Health Insurance Scheme enrollees in Ibadan, Nigeria

BACKGROUND

Bypassing occurs when patients knowingly visit a health facility other than the one they live nearest to. In Ibadan, southwest Nigeria, the majority of enrollees in the National Health Insurance Scheme (NHIS) receive medical care in just 12% of the available NHIS-accredited facilities. Given that enrollees access healthcare services at highly subsidized rates under the scheme, this study aimed to determine the factors responsible for the observed distribution of enrollees across these health facilities.

METHODS

The study was a descriptive cross-sectional survey conducted among NHIS enrollees receiving care at outpatient departments of five randomly selected accredited health facilities in Ibadan. A total of 311 NHIS enrollees were consecutively recruited and a semistructured, pretested, interviewer-administered questionnaire was used to elicit information from respondents. Descriptive and inferential statistics were used to present results at 5% level of significance. Distance traveled by patients from their residence to the facilities was measured using Google maps.

RESULTS

The mean age of respondents was 37.1±16.1 y. There were 167 (53.7%) males and 224 (72.3%) were married. The bypassing rate was 174 (55.3%). More than a third of enrollees, 127 (41.0%), reported that their hospital choice was made based on physician referral, 130 (41.8%) based on personal choice, 26 (8.4%) based upon the recommendation of the Health Management Organization (HMO), while 27 (8.7%) were influenced by friends/family/colleagues. Bypassing was positively associated with educational status (X2 = 13.147, p=0.004). Respondents who bypassed expended additional time and money traveling to the farther away hospitals, 35.1 (±34.66) min and 389.51 (±545.21) naira per visit, respectively.

CONCLUSION

The level of bypassing among enrollees was fairly high. Enrollees should be properly guided regarding the need to access healthcare in facilities closer to them by their HMOs and physicians in the case of referrals. This will reduce bypassing and the cost of travel leading to better outcomes among enrollees.

Estimating Heterogeneous Effects of a Policy Intervention across Organizations when Organization Affiliation is Missing for the Control Group: Application to the Evaluation of Accountable Care Organizations

First introduced in early 2000s, the accountable care organization (ACO) is designed to lower health care costs while improving quality of care and has become one of the most important coordinated care technologies in the United States. In this research, we use the Medicare fee-for-service claims data from 2009-2014 to estimate the heterogeneous effects of Medicare ACO programs on hospital admissions across hospital referral regions (HRRs) and provider groups. To conduct our analysis, a model for a difference-in-difference (DID) study is embellished in multiple ways to account for intricacies and complexity with the data not able to be accounted for using existing models. Of particular note, we propose a Gaussian mixture model to account for the inability to observe the practice group affiliation of physicians if the organization they worked for did not become an ACO, which is needed to ensure appropriate partitioning of variation across the different units. The results suggest that the ACO programs reduced the rate of readmission to hospital, that the ACO program may have reduced heterogeneity in readmission rates, and that the effect of joining an ACO varied considerably across medical groups.

Rural-urban differences in the association between individual, facility, and clinical characteristics and travel time for cancer treatment

Background

Greater travel time to cancer care has been identified as a potential barrier to care as well as associated with worse health outcomes. While rural cancer patients have been shown to travel farther for care, it is not known what patient, facility, and clinical characteristics may differentially be associated with greater roundtrip travel times for cancer patients by rurality of residence. Identifying these factors will help providers understand which patients may be most in need of resources to assist with travel.

Methods

Using 2010–2014 Pennsylvania Cancer Registry data, we examined the association between patient, facility, and clinical characteristics with roundtrip patient travel time using multivariate linear regression models. We then estimated separate models by rural residence based on the Rural-Urban Continuum Code (RUCC) of a patient’s county of residence at diagnosis to understand how the association of each factor with travel time may vary for patients separated into metro residents (RUCC 1–3); and two categories of non-metro residents (RUCC 4–6) and (RUCC 7–9).

Results

In our sample (n = 197,498), we document large differences in mean roundtrip travel time—mean 41.5 min for RUCC 1–3 patients vs. 128.9 min for RUCC 7–9 patients. We show cervical/uterine and ovarian cancer patients travel significantly farther; as do patients traveling to higher volume and higher-ranked hospitals.

Conclusions

To better understand patient travel burden, providers need to understand that factors predicting longer travel time may vary by rurality of patient residence and cancer type.

Contributions of Geography and Nongeographic Factors to the White-Black Gap in Hospital Quality for Coronary Heart Disease: A Decomposition Analysis

Background

Differences in hospital proximity and nongeographic factors affect disparities in hospital quality for heart disease, but their relative contributions are unknown. The current study quantifies the influences of these factors on the white‐black gap in high‐ and low‐quality hospital use for acute myocardial infarction (AMI) and coronary artery bypass grafting (CABG) surgery.

Methods and Results

We used Medicare claims to identify fee‐for‐service Medicare beneficiaries aged 65 and older hospitalized during 2009–2011 with AMI (n=384 443) and CABG (n=71 411). Hospital quality was measured using publicly available AMI mortality rates. In national and regional analyses, we used conditional multinomial logit models to estimate the white‐black gap in high‐ and low‐quality hospital use and decompose the gap into geographic and nongeographic contributions. Overall, more whites used high‐quality hospitals for both conditions (34.8% versus 32.4% for AMI; 39.0% versus 29.9% for CABG; P<0.001), but after accounting for distance to hospitals, the white‐black gap was significant only for CABG (9.1%; P<0.001). The nongeographic component was significant for both conditions (3.4% for AMI and 7.7% for CABG; P<0.001) and accounted for nearly the entire gap for CABG. In contrast, hospital geographic proximity was not significant. In regional analyses, white beneficiaries had higher rates of high‐quality hospital use in the Northeast (CABG) and South (AMI and CABG), whereas black had higher rates of high‐quality hospital use in the Midwest (AMI).

Conclusions

White‐black differences in high‐quality hospital use were significant for CABG and related to nongeographic factors. Interventions should consider health system and contextual reasons for these disparities.

Choosing a hospital for obstetric, gynecologic, or reproductive healthcare: what matters most to patients?

BACKGROUND

Despite millions of U.S. women receiving obstetric/gynecologic or reproductive care in a hospital each year, little is known about which factors matter most to women in choosing a hospital for this care.

OBJECTIVE(S)

To describe women's reasons for choosing their hospital for obstetric/gynecologic or reproductive care, and to examine characteristics associated with reporting specific factors as important in hospital choice.

MATERIALS AND METHODS

We conducted a nationally representative, cross-sectional survey of women aged 18-45 years. The 2016 survey recruited women from AmeriSpeak, a probability-based research panel. A total of 1430 women completed the survey. All data analysis used weighting and accounted for the complex survey design. We conducted bivariate and multinomial logistic regression modeling to assess associations.

RESULTS

Three-fourths of women cited a hospital's overall reputation/quality as a reason, and one-third named this as the most important reason for choosing a hospital. A total of 14% reported hospital religious affiliation as a reason. Compared to those with no prior deliveries, women who had delivered an infant were more likely to report that their top reason was specialty services/provider (relative risk ratio, 2.97; 95% confidence interval, 1.96-4.52) and were also more likely to report overall hospital quality/reputation as their top reason (relative risk ratio, 1.52; 95% confidence interval, 1.06-2.17), compared to logistical reasons. Metropolitan versus non-metropolitan residence was also a significant factor in hospital choice.

CONCLUSION

Women endorse many factors when choosing a hospital for reproductive care, but perceived quality and reputation outweigh logistical concerns such as location and insurance.

Rural-Urban Differences in In-Hospital Mortality Among Admissions for End-Stage Liver Disease in the United States

Access to quality hospital care is a persistent problem for rural patients. Little is known about disparities between rural and urban populations regarding in-hospital outcomes for end-stage liver disease (ESLD) patients. We aimed to determine whether rural ESLD patients experienced higher in-hospital mortality than urban patients and whether disparities were attributable to the rurality of the patient or the center. This was a retrospective study of patient admissions in the National Inpatient Sample, a population-based sample of hospitals in the United States. Admissions were included if they were from adult patients who had an ESLD-related admission defined by codes from the International Classification of Diseases, Ninth Revision, between January 2012 and December 2014. The primary exposures of interest were patient-level rurality and hospital-level rurality. The main outcome was in-hospital mortality. We stratified our analysis by disease severity score. After accounting for patient- and hospital-level covariates, ESLD admissions to rural hospitals in every category of disease severity had significantly higher odds of in-hospital mortality than patient admissions to urban hospitals. Those with moderate or major risk of dying had more than twice the odds of in-hospital mortality (odds ratio [OR] for moderate risk, 2.41; 95% confidence interval [CI], 1.62-3.59; OR for major risk, 2.49; 95% CI, 1.97-3.14). There was no association between patient-level rurality and mortality in the adjusted models. In conclusion, ESLD patients admitted to rural hospitals had increased odds of in-hospital mortality compared with those admitted to urban hospitals, and the differences were not attributable to patient-level rurality. Our results suggest that interventions to improve outcomes in this population should focus on the level of the health system.

Determining patient preferences in a glaucoma service: A discrete choice experiment

IMPORTANCE

Patient perspectives are crucial in informing design of acceptable services.

BACKGROUND

This study determined patient preferences in glaucoma care.

DESIGN

A discrete choice experiment was used to evaluate the relative importance of out-of-pocket costs, waiting time, continuity of care, service location and expertise.

PARTICIPANTS

Ninety-eight glaucoma suspects or glaucoma patients were recruited from one public and two private clinics in Sydney.

METHODS

Twelve choice-tasks were presented in random order and forced-choice preferences were elicited. Choice data were analysed using a multinominal logit model (NLOGIT 4.0).

MAIN OUTCOME MEASURES

The relative importance and the likelihood of choosing services with each attribute were determined. Willingness-to-pay and willingness-to-wait were calculated. Analyses were stratified by whether the patient attended a public or private glaucoma clinic and other demographic features.

RESULTS

Choice was influenced by four or five attributes: greater clinician expertise, the same clinician each visit, lower out-of-pocket costs and shorter wait times (all P < .05). Respondents were willing to pay an additional (Australian dollars) $325 (95% confidence interval [CI] 188-389) to see a senior eye doctor, and $87 (95% CI 60-116) to see the same clinician each visit. Respondents were willing to wait for these attributes; however, the estimates had wide confidence intervals and were beyond the range tested. Private patients had a stronger preference for expertise and continuity of care compared to public patients.

CONCLUSIONS AND RELEVANCE

Expertise and continuity of care were important to glaucoma patients in this setting, and they were willing to pay out-of-pocket and concede longer waiting times to secure these preferences.

Variation in the 11-year trajectories of medical care seeking behaviors in diabetes patients under a single payer system: persisting gaps to be filled

BACKGROUND

Care-seeking behavior is widely acknowledged to have strong influences on health outcomes among individuals with chronic conditions including diabetes. Despite its dynamic nature, care seeking behavior are often considered as time invariant in most studies. The likelihood of patients changing their regularity and source of chronic care over time is often neglected. This study aimed to determine the long-term trajectories of care-seeking patterns of both care-seeking regularity and health provider choices; and their associated factors among patients with type 2 diabetes under the National Health Insurance (NHI) program in Taiwan.

METHODS

We utilized population-based data from the National Health Insurance Research Database (NHIRD) in Taiwan. Three thousand, nine hundred and eighty-seven adult patients with newly diagnosed type 2 diabetes in 1999 were enrolled in the cohort. We assessed their trajectories of regular care visits and sources of diabetes care from 2000 to 2010. A group-based trajectory model was applied.

RESULTS

Seven distinct groups of long-term care-seeking patterns were identified. Only 51.44% of patients with newly diagnosed diabetes had regularly visited their providers over time. Among them, 56.41 and 16.09% had persistently sought care from generalized and specialized providers, respectively. 27.50% had sought care from different levels of providers. Patients who were male, elderly, low-income, and had a higher baseline diabetes severity were significantly more likely to either continue with their irregular care-seeking behavior or fail to maintain their regular care seeking behavior over time. Those who were younger, had a higher socioeconomic status, and lived in an urban area were significantly more likely to persistently seek care from specialized care settings.

CONCLUSIONS

This study is the first population-based assessment of long-term care-seeking behaviors of type 2 diabetes patients under a single-payer system with a comprehensive benefit coverage. The most alarming finding was that, despite the existence of the comprehensive universal health insurance coverage in Taiwan, almost 50% of patients did not seek or maintain regular visits to providers over time as recommended. Understanding variations in the long-term trajectories of care adherence and sources of care may help to identify gaps in diabetes care management.

Do informed consumers in Taiwan favour larger hospitals? A 10-year population-based study on differences in the selection of healthcare providers among medical professionals, their relatives and the general population

OBJECTIVES

Exploring whether medical professionals, who are considered to be 'informed consumers' in the healthcare system, favour large providers for elective treatments. In this study, we compare the inclination of medical professionals and their relatives undergoing treatment for childbirth and cataract surgery at medical centres, against those of the general population.

DESIGN

Retrospective study using a population-based matched cohort data.

PARTICIPANTS

Patients who underwent childbirth or cataract surgery between 1 January 2004 and 31 December 2013.

PRIMARY AND SECONDARY OUTCOMES MEASURES

We used multiple logistic regression to compare the ORs of medical professionals and their relatives undergoing treatment at medical centres, against those of the general population. We also compared the rate of 14-day re-admission (childbirth) and 14-day reoperation (cataract surgery) after discharge between these groups.

RESULTS

Multivariate analysis showed that physicians were more likely than patients with no familial connection to the medical profession to undergo childbirth at medical centres (OR 5.26, 95% CI 3.96 to 6.97, p<0.001), followed by physicians' relatives (OR 2.68, 95% CI 2.20 to 3.25, p<0.001). Similarly, physicians (OR 1.63, 95% CI 1.21 to 2.19, p<0.01) and their relatives (OR 1.43, 95% CI 1.13 to 1.81, p<0.01) were also more likely to undergo cataract surgery at medical centres. Physicians also tended to select healthcare providers who were at the same level or above the institution at which they worked. We observed no significant difference in 14-day re-admission rates after childbirth and no significant difference in 14-day reoperation rates after cataract surgery across patient groups.

CONCLUSIONS

Medical professionals and their relatives are more likely than the general population to opt for service at medical centres. Understanding the reasons that medical professionals and general populations both have a preferential bias for larger medical institutions could help improve the efficiency of healthcare delivery.

Prevalence and determinants of self referrals to a District-Regional Hospital in KwaZulu Natal, South Africa: a cross sectional study

Introduction

Self-referrals to inappropriate levels of care result in an increased patient waiting time, overburdening of higher levels of care, reduced primary healthcare utilisation rate and increasing healthcare costs. Furthermore, self-referral places an additional encumbrance on various levels of care as allocation of resources and infrastructure cannot be accurately planned, based on the facility catchment population. The aim of this study was to determine the prevalence and determinants of patient self-referral at the out-patient department of Stanger Hospital, KwaZulu-Natal between January and June 2017.

Methods

A cross-sectional study was conducted at the out-patient department in Stanger Hospital, using interviewer administered questionnaires to collect information from 385 patients, through convenience sampling, between January and June 2017. Multivariable regression analysis was used to test for factors associated with self-referral.

Results

of the 385 patients interviewed 36% (n = 138) were self-referrals. Most of the self-referrals were male (51.5%) and of the African race (57.2%). Five institutional factors namely: care received from healthcare workers (91.3%); waiting times (88.4%); help offered (87%); treatment and attitude of healthcare workers (63%) and availability of medication (55.8%) were considered as the main drivers of self-referral. Multivariable regression analysis established a significant positive association between patient self-referral and age (40 years and below), attitude of healthcare workers, quality of care received form healthcare workers, waiting times and the availability of diagnostic tests.

Conclusion

This study indicates that most patients attending Stanger Hospital do comply with the prescribed referral pathway, however a significant proportion still bypass the referral system.

Provider-Related Predictors of Utilization of University Health Services in Nigeria

Background

The utilization of health services is an important policy concern in most developing countries. Many staff and students do not utilize the health services within the university system despite the availability of good quality services. This study investigated the provider-related factors related to utilization of university health service by staff and students in a privately owneduniversity in Nigeria.

Methods

The perception of the quality of a university health service was investigated among a cross-section of 600 university staff and students who were selected by a stratified random sampling scheme. A self-administered questionnaire-based study was conducted. The structure, process and output predictors of utilization of the university health facility were assessed. Data analysis was carried out using Stata I/C 15.0.

Results

The average age of the participants was 22.93±7.58 years. About two-thirds of them did not have opinion about the mortality and morbidity rates at the university health center. Significant proportions of the participants reported good perceptions about the structure and process quality of service indicators. Utilization of the university health center was predicted by some structure and process indicators namely; the availability/experience of staff (AOR 2.44; CI 1.67–3.58), the organization of healthcare (AOR 1.64; CI 1.11–2.41), the continuity of treatment (AOR 1.74; CI 1.12–2.70) and the waiting time (AOR 0.41; CI 0.28–0.61).

Conclusion

The utilization of university health services was predicted by availability/experience of staff, the organization of healthcare, the waiting time and the continuity of care. The structure-process-outcome approach discriminates between the students and staff who utilize the university health center and those who donot. It also suggests a complex interplay of factors in the prediction of choice of a health facility.

What Characteristics Influence Whether Rural Beneficiaries Receiving Care From Urban Hospitals Return Home for Skilled Nursing Care?

PURPOSE

Skilled nursing care (SNC) provides Medicare beneficiaries short-term rehabilitation from an acute event. The purpose of this study is to assess beneficiary, market, and hospital factors associated with beneficiaries receiving care near home.

METHODS

The population includes Medicare beneficiaries who live in a rural area and received acute care from an urban facility in 2013. "Near home" was defined 3 different ways based on distances from the beneficiary's home to the nearest source of SNC. Results include unadjusted means and odds ratios from logistic regression.

FINDINGS

About 69% of rural beneficiaries receiving acute care in an urban location returned near home for SNC. Beneficiaries returning home were white (odds ratio [OR] black: 0.69; other race: 0.79); male (OR: 1.07); older (OR age 85+ [vs 65-69]: 1.14); farther from SNC (OR: 1.01 per mile); closer to acute care (OR: 0.28, logged miles); and received acute care from hospitals that did not own a skilled nursing facility (owned OR: 0.77) and hospitals with: no swing bed (swing bed OR: 0.47), high case mix (OR: 3.04), and nonprofit status (for-profit OR: 0.85). Results varied somewhat across definitions of "near home."

CONCLUSIONS

Rural Medicare beneficiaries who received acute care far from home were more likely to receive SNC far from home. Because Medicare beneficiaries have the choice of where to receive SNC, policy makers may consider ensuring that new payment models do not incentivize provision of SNC away from home.

Factors associated with the choice of primary care facilities for initial treatment among rural and urban residents in Southwestern China

Objective

To explore influential factors contributing to the choice of primary care facilities (PCFs) for the initial treatment among rural and urban residents in Southwestern China.

Methods

A face-to-face survey was conducted on a multistage stratified random sample of 456 rural and 459 urban residents in Sichuan Province from January to August in 2014. A structured questionnaire was used to collect data on residents’ characteristics, provider of initial treatment and principal reason for the choice. Multivariate logistic regression was performed to identify factors associated with choosing PCFs for the initial treatment.

Results

The result showed that 65.4% of the rural residents and 50.5% of the urban residents chose PCFs as their initial contact for medical care. Among both rural and urban residents, the principal reason for choosing medical institutions for the initial treatment was convenience (42.3% versus 40.5%, respectively), followed by high quality of medical care (26.5% versus 29.4%, respectively). Compared to rural residents, urban residents were more likely to value trust in doctors and high quality of medical care but were less likely to value the insurance designation status of the facilities. Logistic regression analysis showed that both rural and urban residents were less likely to choose PCFs for the initial treatment if they lived more than 15 minutes (by walk) from the nearest facilities (rural: OR = 0.15, 95%CI = 0.09–0.26; urban: OR = 0.19, 95%CI = 0.10–0.36), had fair (rural: OR = 0.49, 95%CI = 0.26–0.92; urban: OR = 0.31, 95%CI = 0.15–0.64) or poor (rural: OR = 0.14, 95%CI = 0.07–0.30; urban: OR = 0.22, 95%CI = 0.11–0.44) self-reported health status. Among rural residents, attending college or higher education (OR = 0.21, 95%CI = 0.08–0.59), being retired (OR = 0.90, 95%CI = 0.44–1.84) and earning a per capita annual income of household of 10,000–29,999 (OR = 0.24, 95%CI = 0.11–0.52) and 30,000–49,999 (OR = 0.26, 95%CI = 0.07–0.92) were associated with lower rates of seeking care at PCFs.

Conclusion

Efforts should be made to improve the accessibility of PCFs and to upgrade the services capability of PCFs both in rural and urban areas in China. At the same time, resources should be prioritized to residents with poorer self-reported health status, and rural residents who retire or have better education and higher income levels should be taken into account.

Modelling competition in health care markets as a complex adaptive system: an agent-based framework

Health market reforms necessitate continuous re-evaluation of initiatives, competitive regulations, and antitrust policies. Synergistic implications, evolution, and behaviour changes associated with the market competition are often overlooked due to methodological limitations. To rectify these limitations, parallels between defining features of health care markets (HCM) and complex adaptive systems (CAS) are drawn. The science of CAS develops complex system-level models of dynamic interactions to allow insights for heterogeneous agents and emergent behaviours. Agent-based modelling (ABM) is a computational tool of CAS science suitable for investigating competition in HCM. The proposed agent-based framework conceptualises agents, environment, and interactions, and formalises agent-specific attributes and modules that achieve agent roles to recreate HCM dynamics. The framework conceptualises competition in HCM into an implementable ABM for a CAS assessment, identifies data sources, and develops face-validity procedures. Developments in data, computational power, and decisions theory compel CAS approach to complement studies on pressing HCM issues.

Bypassing health facilities in rural Mozambique: spatial, institutional, and individual determinants

BACKGROUND

Access to sexual and reproductive health (SRH) services is critical for such outcomes as pregnancy and birth, prenatal and neonatal mortality, maternal morbidity and mortality, and prevention of vertical transmission of infections like HIV. Health facilities are typically set up where they can efficiently serve the nearby targeted population. However, the actual utilization of health care can be complicated as people sometimes bypass the closest or nearby facilities for various reasons such as service quality. A better understanding of how people actually utilize health services can benefit future health resource allocation as well as health program planning.

METHODS

In this study, we use prenatal care as an example of a basic, widely available service to investigate women's choice and bypassing of SRH facilities as well as potential influencing factors at the geographic, clinic, household, and individual levels. The data come from a population-based survey of women of reproductive age in rural Mozambique. The spatial pattern of utilization of health clinics for prenatal care is explored by geographical information system (GIS)-based spatial analysis. Logistic regression is fitted to test the hypotheses regarding the effect of distance, service quality, and household/individual-level factors on the bypassing of the nearest clinic.

RESULTS

The results indicate that most women living near clinics tend to utilize the closest facilities for prenatal care and those who travel farther mainly do so to seek better services. Further, for women who live far from a clinic (> 5.5 km), service quality still plays an important role in the facility bypassing while the effect of distance is no longer significant. The bypassing of nearest facility is also affected by individual characteristics such as age, HIV status, and household economic conditions.

CONCLUSIONS

The findings help to better understand health facility choice and bypassing in developing settings, in general, and in resource-limited Sub-Saharan settings, in particular. They offer valuable guidance for future health resource allocation and health service planning.

Why Travel for Complex Cancer Surgery? Americans React to 'Brand-Sharing' Between Specialty Cancer Hospitals and Their Affiliates

INTRODUCTION

Leading cancer hospitals have increasingly shared their 'brand' with smaller hospitals through affiliations. Because each brand evokes a distinct reputation for the care provided, 'brand-sharing' has the potential to impact the public's ability to differentiate the safety and quality within hospital networks. The general public was surveyed to determine the perceived similarities and differences in the safety and quality of complex cancer surgery performed at top cancer hospitals and their smaller affiliate hospitals.

METHODS

A national, web-based KnowledgePanel (GfK) survey of American adults was conducted. Respondents were asked about their beliefs regarding the quality and safety of complex cancer surgery at a large, top-ranked cancer hospital and a smaller, local hospital, both in the presence and absence of an affiliation between the hospitals.

RESULTS

A total of 1010 surveys were completed (58.1% response rate). Overall, 85% of respondents felt 'motivated' to travel an hour for complex surgery at a larger hospital specializing in cancer, over a smaller local hospital. However, if the smaller hospital was affiliated with a top-ranked cancer hospital, 31% of the motivated respondents changed their preference to the smaller hospital. When asked to compare leading cancer hospitals and their smaller affiliates, 47% of respondents felt that surgical safety, 66% felt guideline compliance, and 53% felt cure rates would be the same at both hospitals.

CONCLUSIONS

Approximately half of surveyed Americans did not distinguish the quality and safety of surgical care at top-ranked cancer hospitals from their smaller affiliates, potentially decreasing their motivation to travel to top centers for complex surgical care.

Critical Choices: What Information Do Patients Want When Selecting a Hospital for Cancer Surgery?

PURPOSE

Access to comparative information on hospitals' quality of cancer care is limited. Patients' interest in using this information when selecting a hospital for cancer surgery and the specific data they would desire are unknown. This study gauges patients' demand for comparative information on hospitals' quality of cancer surgery.

METHODS

We conducted a cross-sectional, national survey of 3,334 US residents who had received cancer surgery. The outcomes were patients' reported likelihood of using a list of best hospitals for cancer surgery and patients' reported interest in information about specific clinical outcomes, including 4-year survival after surgery, 30-day mortality after surgery, and rate of complications from surgery.

RESULTS

Two thirds of patients (68%) reported being actively involved in selecting a hospital for their surgery, and two thirds (65%) reported that their physician was involved in or made this decision. When asked what information might have helped them to choose a hospital, participants identified the hospital's reputation (55%), patient satisfaction (44%), and the number of cancer surgeries performed at the hospital (36%). Approximately three quarters (73%) reported being likely to use a list of best hospitals for cancer surgery when selecting a hospital. Approximately 40% expressed interest in having information on at least one clinical outcome.

CONCLUSION

Widespread interest exists among patients with cancer for comparative information on hospital quality as well as on clinical outcomes and hospitals' reputation for cancer surgery. Policy reforms and additional research should address the unmet need for transparent, comprehensive data on the quality of hospitals' cancer care.

The Importance of Rural Hospitals: Transfers and 30-day Readmissions Among Rural Residents and Patients Presenting at Rural Hospitals

The purpose was to examine factors associated with transfers and readmissions among Medicare patients initially presenting at rural facilities. Data from the 2013 Medicare Claims file were used to identify fee-for-service patients with a hospital admission (n = 298,783) or an emergency department visit immediately followed by a hospital admission (117,416), for a total of 416,199. Transfers were defined as hospitalization at a different facility within 1 day of a discharge from a prior inpatient or emergency department encounter. For analysis of 30-day readmission, beneficiaries who died before discharge were excluded, for a total of 416,198 observations. Overall, 4.8% of index encounters resulted in a transfer. The transfer rate was higher for patients living in rural areas (9.8%, P < 0.0001), with the highest among residents of small rural areas (10.1%). The transfer rate was higher among those initial encounters in an urban facility (5.3%) than those admitted to a rural facility (2.7%, P < 0.0001). In adjusted analysis, beneficiaries with index encounters in rural or critical access facilities had higher odds of being transferred than those seen at urban facilities. The 30-day readmission rate was lower among patients presenting initially at rural versus urban hospitals (12.1% versus 19.2%). Although transfer status slightly increased the odds of rehospitalization in adjusted analysis, initial presentation at a rural facility was associated with reduced odds. The relatively high rate of transfers from rural hospitals to urban institutions suggests that systems must ensure that their patients' follow-up care meets their needs.

Bypassing health facilities for childbirth in the context of the JSY cash transfer program to promote institutional birth: A cross-sectional study from Madhya Pradesh, India

Bypassing health facilities for childbirth can be costly both for women and health systems. There have been some reports on this from Sub-Saharan African and from Nepal but none from India. India has implemented the Janani Suraksha Yojana (JSY), a large national conditional cash transfer program which has successfully increased the number of institutional births in India. This paper aims to study the extent of bypassing the nearest health facility offering intrapartum care in three districts of Madhya Pradesh, India, and to identify individual and facility determinants of bypassing in the context of the JSY program. Our results provide information to support the optimal utilization of facilities at different levels of the healthcare system for childbirth. Data was collected from 96 facilities (74 public) and 720 rural mothers who delivered at these facilities were interviewed. Multilevel logistic regression was used to analyze the data. Facility obstetric care functionality was assessed by the number of emergency obstetric care (EmOC) signal functions performed in the last three months. Thirty eighth percent of the mothers bypassed the nearest public facility for their current delivery. Primiparity, higher education, arriving by hired transport and a longer distance from home to the nearest facility increased the odds of bypassing a public facility for childbirth. The variance partition coefficient showed that 37% of the variation in bypassing the nearest public facility can be attributed to difference between facilities. The number of basic emergency obstetric care signal functions (AOR = 0.59, 95% CI 0.37–0.93), and the availability of free transportation at the nearest facility (AOR = 0.11, 95% CI 0.03–0.31) were protective factors against bypassing. The variation between facilities (MOR = 3.85) was more important than an individual’s characteristics to explain bypassing in MP. This multilevel study indicates that in this setting, a focus on increasing the level of emergency obstetric care functionality in public obstetric care facilities will allow more optimal utilization of facilities for childbirth under the JSY program thereby leading to better outcomes for mothers.

How Far Are Patients Willing to Travel for Gastrectomy?

OBJECTIVE

To determine travel patterns for patients undergoing gastrectomy for cancer and to identify factors associated with patient decision.

BACKGROUND

Support for regionalization of complex surgery grows; however, little is known about the willingness of patients to travel for care. Furthermore, utilization of outcomes data in patients' hospital selection processes is not well understood.

METHODS

Analysis of the California Office of Statewide Health Planning and Development database from 1996 to 2009. Outcome measures included total distance traveled and rate of bypassing the nearest gastrectomy-performing hospitals. Multivariate analyses to identify predictors of bypassing local hospitals were performed.

RESULTS

Total study population was 10,022. Majority (67.1%) of patients underwent gastrectomy at the nearest providing hospitals. Distance traveled to destination hospitals in California averaged 17.04 miles. Bypassing patients traveled approximately 16 miles beyond the nearest hospitals to receive care, selecting lower volume destination hospitals in 27.9% of cases. Annual gastrectomy volumes for nearest and for destination hospitals averaged 4.4 and 6.8 cases, respectively, and inhospital mortality rates were 5.9% and 4.8%, respectively. A few patients (19.2%) sought care at teaching hospitals. Rural county residence significantly reduced the likelihood of bypass (P < 0.001). High volume (>7 cases) and teaching status of destination hospitals (both P < 0.001) were predictive of hospital bypass, though no significant association between mortality rate and bypass was identified.

CONCLUSIONS

The majority of gastric cancer patients underwent gastrectomy at providing hospitals nearest to home, reflecting little regionalization of gastrectomy in California. Patients' hospital selection appears not to be driven by outcomes data.

Outpatient Total Thyroidectomy is Safe for Moderate-Volume Surgeons

Traditionally, total thyroidectomy (TT) was an inpatient procedure, but recent trends indicate that patients are often discharged on the day of surgery. This has been proven safe for high-volume surgeons but has not been studied for low (<10 TT per year) and moderate volume surgeons (<24 TT per year). Retrospective review was performed for 414 total thyroidectomies between 2005 and 2013. Emergency department visits and readmissions within 30 days of surgery were captured, but were considered the same for the purpose of this analysis. Patients were identified as outpatient if the day of discharge matched the day of surgery. The groups were compared based on demographic variables, comorbidities, postop calcium supplementation, and serum calcium. We found that moderate-volume surgeons were more likely to perform outpatient TT than low-volume surgeons (31.6% vs 6.0%, P < 0.001), but there was no correlation between length of stay and readmission (P = 0.688). Readmitted patients had lower postop serum calcium (8.3 mg/dL) than patients who were not readmitted (8.8 mg/dL, P = 0.006). Our data show that moderate-volume surgeons performing outpatient TT have an acceptable safety profile with respect to emergency department visits and hospital readmissions, and that same day discharge had no bearing on readmission.

Rural Patients With Severe Sepsis or Septic Shock Who Bypass Rural Hospitals Have Increased Mortality: An Instrumental Variables Approach

OBJECTIVE

To identify factors associated with rural sepsis patients' bypassing rural emergency departments to seek emergency care in larger hospitals, and to measure the association between rural hospital bypass and sepsis survival.

DESIGN

Observational cohort study.

SETTING

Emergency departments of a rural Midwestern state.

PATIENTS

All adults treated with severe sepsis or septic shock between 2005 and 2014, using administrative claims data.

INTERVENTIONS

Patients bypassing local rural hospitals to seek care in larger hospitals.

MEASUREMENTS AND MAIN RESULTS

A total of 13,461 patients were included, and only 5.4% (n = 731) bypassed a rural hospital for their emergency department care. Patients who initially chose a top-decile sepsis volume hospital were younger (64.7 vs 72.7 yr; p < 0.001) and were more likely to have commercial insurance (19.6% vs 10.6%; p < 0.001) than those who were seen initially at a local rural hospital. They were also more likely to have significant medical comorbidities, such as liver failure (9.9% vs 4.2%; p < 0.001), metastatic cancer (5.9% vs 3.2%; p < 0.001), and diabetes with complications (25.2% vs 21.6%; p = 0.024). Using an instrumental variables approach, rural hospital bypass was associated with a 5.6% increase (95% CI, 2.2-8.9%) in mortality.

CONCLUSIONS

Most rural patients with sepsis seek care in local emergency departments, but demographic and disease-oriented factors are associated with rural hospital bypass. Rural hospital bypass is independently associated with increased mortality.

Health plan choice in the Netherlands: restrictive health plans preferred by young and healthy individuals

In a health care system based on managed competition, health insurers negotiate on quality and price with care providers and are allowed to offer restrictive health plans. It is crucial that enrolees who need care choose restrictive health plans, as otherwise health insurers cannot channel patients to contracted providers and they will lose their bargaining power in negotiations with providers. We aim to explain enrolees' choice of a restrictive health plan in exchange for a lower premium. In 2014 an online survey with an experimental design was conducted on members of an access panel (response 78%; n=3,417). Results showed 37.4% of respondents willing to choose a restrictive health plan in exchange for a lower premium. This fell to 22% when the restrictive health plan also included a longer travelling time. Enrolees who choose a restrictive health plan are younger and healthier, or on lower incomes, than those preferring a non-restrictive one. This means that enrolees who use care will be unlikely to choose a restrictive health plan and, therefore, health insurers will not be able to channel them to contracted care providers. This undermines the goals of the health care system based on managed competition.