Travel of patients to distant hospitals for elective surgery in Japan: A cross-sectional analysis of a nationally representative sample

[Specialised treatment of colorectal cancer in certified cancer centres: Do patients really have to travel further?]

INTRODUCTION

In Germany, many cancer patients are treated outside of cancer centres certified by the German Cancer Society (DKG) resulting in underuse of these facilities and inferior oncological treatment. One way to address this issue would be to restructure the healthcare landscape by following the Danish approach that limits cancer treatment to specialized hospitals. Such an approach would have an impact on the travelling times to treatment centers. The present study determines the impact on patient travel times using the example of colorectal cancer.

METHODS

For the present analysis, data from structured quality reports (sQB) and from patients insured with the AOK who underwent resection of the colon or rectum during 2018 were used. In addition, data from the DKG regarding an existing certification of a colorectal cance centre were used. Travel time was defined as the time patients spent in an average car with average traffic from the midpoint of the ZIP code of their residence to the coordinates of the hospital. The coordinates of the hospitals and the midpoints of the ZIP codes were obtained by querying the Google API. Travel times were calculated with a local Open Routing Machine server. The statistical programs R and Stata were used for analyses and cartographic representations.

RESULTS

In 2018, nearly half of all patients with colon cancer were treated at the hospital nearest to their place of residence, of whom approximately 40% were treated at a certified colorectal cancer centre. Overall, only about 47% of all treatments took place at a certified colorectal cancer centre. Travel time to the chosen treatment site averaged 20 minutes. It was minimally shorter (18 minutes) if no certified centre was chosen and minimally longer (21 minutes) for those whose treatment took place in a certified colorectal cancer centre. Modeling of redistributions of all patients to certified centres resulted on an average travel time of 29 minutes.

CONCLUSION

Even if treatment were limited to specialized hospitals, treatment close to home would still be guaranteed. Regardless of certification, parallel structures can be identified, especially in metropolitan areas, which indicate a potential for restructuring.

General and Vulnerable Population’s Satisfaction With the Healthcare System in Urban and Rural Areas: Findings From the European Social Survey

Introduction: Access to the healthcare system when patients are vulnerable and living outside metropolitan areas can be challenging. Our objective was to explore healthcare system satisfaction of urban and rural inhabitants depending on financial and health vulnerabilities.

Methods: Repeated cross-sectional data from 353,523 European citizens (2002–2016). Multivariable associations between rural areas, vulnerability factors and satisfaction with the healthcare system were assessed with linear mixed regressions and adjusted with sociodemographic and control factors.

Results: In unadjusted analysis, the people who lived in houses in the countryside and those who lived in the suburbs were the most satisfied with the healthcare system. In the adjusted model, residents living in big cities had the highest satisfaction. Financial and health vulnerabilities were associated with less satisfaction with the healthcare system, with a different effect according to the area of residence: the presence of health vulnerability was more negatively correlated with the healthcare system satisfaction of big city inhabitants, whereas financial vulnerability was more negatively correlated with the satisfaction of those living in countryside homes.

Conclusion: Vulnerable residents, depending on their area of residence, may require special attention to increase their satisfaction with the healthcare system.

Geographic Distribution of Adult Inpatient Surgery Capability in the USA

INTRODUCTION

Access to timely, quality, and affordable surgical services is an important component of health care systems. A better understanding of the geographic distribution of surgical services in the USA may help identify disparities in access to surgery.

METHODS

Using the 2015 American Hospital Association Annual Survey, the 2010 Census Bureau Data, and the American Community Survey 5-year estimates from 2011 to 2016, all hospitals with surgical capabilities were geocoded with 30 straight-line mile service areas around each hospital using geospatial analysis. Major surgical hospitals were defined as meeting three of the four following criteria: bed size ≥ 45, ≥ 8600 operations per year, ≥ 12 operating rooms, and academic medical center. The distribution of the US population based on proximity to a hospital capable of performing adult inpatient surgery and a major surgical hospital was then analyzed and compared.

RESULTS

Overall, 3409 hospitals were identified that had the capacity to perform adult inpatient surgery of which 1373 were defined as major surgical hospitals. Based on geospatial analysis, 10% of the US population was found to reside outside of a linear 30-mile radius of a surgical hospital. Younger age (OR 0.97, CI 0.96-0.97), female sex (OR 4.6, CI 4.3-5), African-American race (OR = 5.4, CI 4.7-6.2), Hispanic/Latino race (OR 5.5, CI 4.8-6.3), having completed high school or greater (OR = 3.6, CI 3-4.2), being employed (OR 4.8, CI 4.6-4.9), and having any type of health insurance were significantly associated with living in a service area.

CONCLUSION

A significant proportion of the US population lives greater than 30 straight-line miles from a major surgical hospital. Common demographic and socioeconomic factors highlight disparities in access to surgical care.

Japanese healthcare: Fostering competition and controlling costs

Japan's universal healthcare system is relatively inexpensive, provides accessible services, and was established nearly 10 years before Canada's. Two aspects of Japan's system are particularly interesting. The first is that there is active competition for patients between a variety of hospital providers, which can be privately or publicly owned. This competition is based on service quality because prices are set centrally. The second feature is that these prices are adjusted biannually by a National Council, the Chuikyo, that includes payers (employers), providers, and third-party experts in public negotiations. This process improves transparency, reduces political stakes, and allows for appropriate fee adjustments. Recent movements in Canada toward more activity-based funding and greater management accountability are developing the capabilities of healthcare executives to embrace these ideas, if introduced in Canada. The increased autonomy afforded to providers will empower their leaders to make strategic decisions to improve the quality and efficiency of healthcare services.

Comparison of students' encountered diseases and available diseases at clerkship sites by exploratory multivariate analysis: Are encountered diseases predictable?

BACKGROUND

Students in clerkship are expected to gain clinical expertise by interacting with real patients in clinical situations. Monitoring and predicting the students' encounter diseases (EDs) is important for providing an optimal experience. EDs should be compared with the available diseases (ADs) at the clerkship site and with the required diseases described in some guidelines for the clinical curriculum.

AIMS

To explore the differences in ADs as learning resources among different types of clerkship sites and to investigate discrepancies between EDs and ADs.

METHOD

A retrospective observational study used secondary data from government statistics to compare ADs of various types of observable clerkship sites by biplot analyses, which allowed multivariate comparisons. EDs collected from logbooks during clerkships at a university hospital were also compared with ADs across sites.

RESULTS

The distributions of ADs differed according to institutional type, and EDs at Kyushu University Hospital were similar to the ADs for the category of hospitals in which it was placed.

CONCLUSION

EDs at a clerkship site may be predictable to some extent by analysing the site's distribution of ADs, but further study is needed. Biplot is useful for visualising these types of statistical similarity.

Disparities associated with breast reconstruction in Japan

BACKGROUND

With increasing rates of postmastectomy breast reconstruction, it has been suggested that there is an insufficient supply of services that meet patient demands. This study aimed to identify potential disparities in, and variables associated with, postmastectomy reconstruction in Japan.

METHODS

Using 20,257 Japanese breast cancer discharge data from 2010, the authors identified 1616 breast cancer patients, with tumor-node-metastasis classification of malignant tumors T1~4 and N0M0, between 20 and 59 years of age. Factors influencing the use of immediate breast reconstruction of either autogenous tissue or tissue expander placement were analyzed using multinomial logistic regression comparing no reconstruction to either autogenous tissue or tissue expander placement.

RESULTS

The immediate breast reconstruction rate was 11.2 percent among the study patients. The rate of autogenous method use was 49 percent and the rate of tissue expander use was 51 percent. Tissue expander placement was performed primarily in patients who resided in cities (OR, 2.4; 95 percent confidence interval, 1.5 to 4.1) and was performed at city hospitals. Patients who lived in rural areas primarily underwent autogenous tissue reconstruction, traveled to city hospitals to undergo surgery (OR, 2.0; 95 percent confidence interval, 1.0 to 4.0), and had normal body mass index (OR, 1.9; 95 percent confidence interval, 1.1 to 3.1).

CONCLUSIONS

The authors identified potential disparities associated with breast reconstruction. These disparities might be due to limited surgery methods and might have excluded some patients because of their age, physical, and economic status. Uneven distribution of plastic surgeons might have required patients to travel for breast reconstruction.

CLINICAL QUESTION/LEVEL OF EVIDENCE

Therapeutic, III.

Geographic distribution of healthcare resources, healthcare service provision, and patient flow in Japan: a cross sectional study

Healthcare systems in developed countries are facing the challenge of dealing with changing social structures as a result of rapidly aging populations. This study examines the relationship among the geographical distribution of healthcare resources, healthcare service provision, and interregional patient flow in Japan. A cross-sectional study was performed using data from healthcare-related public surveys conducted in 2008, together with social, economic, and environmental variables. The geographical units of analysis were 348 Secondary Healthcare Service Areas, which provide and manage most healthcare services in Japan. The equity of the distribution of physicians among hospitals and clinics was evaluated using the Lorenz curve and the Gini coefficient. Multiple regression analysis was used to examine the relationships between the inpatient flow ratio and selected variables. Next, the 348 Secondary Healthcare Service Areas were divided into tertiles according to the inpatient flow ratio, and differences among these variables were examined using Bonferroni's correction for multiple comparisons. The Gini coefficient for physician distribution among hospitals was 0.209 and was 0.165 among clinics. Multiple regression analysis showed that hospital physician density, the elderly ratio, and hospital bed density were all correlated with the inpatient flow ratio (β = 0.396, -0.576, 0.425, respectively; R(2) = 0.622, all ps < 0.001). Healthcare resources were significantly more scarce in the lowest tertile (outflow group) than in other groups in both hospitals and clinics. The provision of healthcare services was also imbalanced among tertiles. Our results imply that there is a need for reconstituting the geographical distribution of healthcare resources in Japan. Further research and healthcare-related databases are also needed to facilitate the creation of a more balanced geographical distribution and of a more effective healthcare system in Japan.