A Quantitative Analysis of the Relationship Between Radiation Therapy Use and Travel Time

Equity of travel to access surgery and radiation therapy for lung cancer in New Zealand

PURPOSE

Centralisation of lung cancer treatment can improve outcomes, but may result in differential access to care for those who do not reside within treatment centres.

METHODS

We used national-level cancer registration and health care access data and used Geographic Information Systems (GIS) methods to determine the distance and time to access first relevant surgery and first radiation therapy among all New Zealanders diagnosed with lung cancer (2007-2019; N = 27,869), and compared these outcomes between ethnic groups. We also explored the likelihood of being treated at a high-, medium-, or low-volume hospital. Analysis involved both descriptive and adjusted logistic regression modelling.

RESULTS

We found that Māori tend to need to travel further (with longer travel times) to access both surgery (median travel distance: Māori 57 km, European 34 km) and radiation therapy (Māori 75 km, European 35 km) than Europeans. Māori have greater odds of living more than 200 km away from both surgery (adjusted odds ratio [aOR] 1.83, 95% CI 1.49-2.25) and radiation therapy (aOR 1.41, 95% CI 1.25-1.60).

CONCLUSIONS

Centralisation of care may often improve treatment outcomes, but it also makes accessing treatment even more difficult for populations who are more likely to live rurally and in deprivation, such as Māori.

Variation in Access to Palliative Radiotherapy in Prostate Cancer: A Population-Based Study in Canada

BACKGROUND

As a result of improvements in cancer therapies, patients with metastatic malignancies are living longer, and the role of palliative radiotherapy has become increasingly recognized. However, access to adequate palliative radiotherapy may continue to be a challenge, as is evident from the high proportion of patients dying of prostate cancer who never receive palliative radiotherapy. The main objective of this investigation is to identify and describe the factors associated with the receipt of palliative radiation treatment in a decedent cohort of prostate cancer patients in Ontario.

METHODOLOGY

 Population-based administrative databases from Ontario, Canada, were used to identify prostate cancer decedents, 65 years or older who received androgen deprivation therapy between January 1, 2013, and December 31, 2018. Baseline and treatment characteristics were analyzed using univariate and multivariate logistic regression models for association with receipt of radiotherapy in a two-year observation period before death.

RESULTS

We identified 3,788 prostate cancer decedents between 2013 and 2018; among these, 49.9% received radiotherapy in the two years preceding death. There were statistically significant positive associations between receipt of radiotherapy and younger age at diagnosis (odds ratio [OR] 1.6, 95% confidence interval [CI] 1.1-2.3); higher stage at diagnosis (OR 1.3, 95% CI 1.1-1.7); receipt of care at a regional cancer center (OR 1.8, 95% CI 1.3-2.4); and involvement of radiation oncologists (OR 155.1, 95% CI 83.3-288.7) or medical oncologists (OR 1.4, 95% CI 1.1-1.8). However, there were no associations between receipt of radiotherapy and income, distance to the nearest cancer center, involvement of urologists in cancer care, healthcare administrative region, home-care involvement, or number of hospitalizations in the observation period.

CONCLUSIONS

We found the utilization of palliative radiotherapy for prostate cancer patients in Ontario varies depending on age, stage at diagnosis, number of comorbidities, registration at regional cancer centers, and involvement of oncologists. There were no differences detected based on income or distance from a cancer center. The findings of this study represent an important opportunity to facilitate better access to palliative radiotherapy and referrals to multidisciplinary regional cancer centers, to improve the quality of life of this patient population.

Proximity to Radiotherapy Center, Population, Average Income, and Health Insurance Status as Predictors of Cancer Mortality at the County Level in the United States

PURPOSE

Sufficient radiotherapy (RT) capacity is essential to delivery of high-quality cancer care. However, despite sufficient capacity, universal access is not always possible in high-income countries because of factors beyond the commonly used parameter of machines per million people. This study assesses the barriers to RT in a high-income country and how these affect cancer mortality.

METHODS

This cross-sectional study used US county-level data obtained from Center for Disease Control and Prevention and the International Atomic Energy Agency Directory of Radiotherapy Centres. RT facilities in the United States were mapped using Geographic Information Systems software. Univariate analysis was used to identify whether distance to a RT center or various socioeconomic factors were predictive of all-cancer mortality-to-incidence ratio (MIR). Significant variables (P ≤ .05) on univariate analysis were included in a step-wise backward elimination method of multiple regression analysis.

RESULTS

Thirty-one percent of US counties have at least one RT facility and 8.3% have five or more. The median linear distance from a county's centroid to the nearest RT center was 36 km, and the median county all-cancer MIR was 0.37. The amount of RT centers, linear accelerators, and brachytherapy units per 1 million people were associated with all-cancer MIR (P < .05). Greater distance to RT facilities, lower county population, lower average income per county, and higher proportion of patients without health insurance were associated with increased all-cancer MIR (R-squared, 0.2113; F, 94.22; P < .001).

CONCLUSION

This analysis used unique high-quality data sets to identify significant barriers to RT access that correspond to higher cancer mortality at the county level. Geographic access, personal income, and insurance status all contribute to these concerning disparities. Efforts to address these barriers are needed.

Addressing Inequity in Spatial Access to Lung Cancer Screening

BACKGROUND

The successful implementation of an equitable lung cancer screening program requires consideration of factors that influence accessibility to screening services.

METHODS

Using lung cancer cases in British Columbia (BC), Canada, as a proxy for a screen-eligible population, spatial access to 36 screening sites was examined using geospatial mapping and vehicle travel time from residential postal code at diagnosis to the nearest site. The impact of urbanization and Statistics Canada's Canadian Index of Multiple Deprivation were examined.

RESULTS

Median travel time to the nearest screening site was 11.7 min (interquartile range 6.2-23.2 min). Urbanization was significantly associated with shorter drive time (p < 0.001). Ninety-nine percent of patients with ≥60 min drive times lived in rural areas. Drive times were associated with sex, ethnocultural composition, situational vulnerability, economic dependency, and residential instability. For example, the percentage of cases with drive times ≥60 min among the least deprived situational vulnerability group was 4.7% versus 44.4% in the most deprived group.

CONCLUSIONS

Populations at risk in rural and remote regions may face more challenges accessing screening services due to increased travel times. Drive times increased with increasing sociodemographic and economic deprivations highlighting groups that may require support to ensure equitable access to lung cancer screening.

Value of Geographical Information Systems in Analyzing Geographic Accessibility to Inform Radiotherapy Planning: A Systematic Review

PURPOSE

Vulnerable populations face geographical barriers in accessing radiotherapy (RT) facilities, resulting in heterogeneity of care received and cancer burden faced. We aimed to explore the current use of Geographical Information Systems (GIS) in access to RT and use these findings to create sustainable solutions against barriers for access in low- and middle-income countries.

MATERIALS AND METHODS

A systematic review using the PRISMA search strategy was done for studies using GIS to explore outcomes among patients with cancer. Included studies were reviewed and classified into three umbrella categories of how GIS has been used in studying access to RT.

RESULTS

Forty articles were included in the final review. Thirty-eight articles were set in high-income countries and two in upper-middle-income countries. Included studies were published from 2000 to 2020, and were comprised of patients with all-cancers combined, breast, colon, skin, lung, prostate, ovarian, and rectal carcinoma patients. Studies were categorized under three groups on the basis of how they used GIS in their analyses: to describe geographic access to RT, to associate geographic access to RT with outcomes, and for RT planning. Most studies fell under multiple categories.

CONCLUSION

Although this field is relative nascent, there is a wide array of functions possible through GIS for RT planning, including identifying high-risk populations, improving access in high-need areas, and providing valuable information for future resource allocation. GIS should be incorporated in future studies, especially set in low- and middle-income countries, which evaluate access to RT.

Geographic accessibility to cancer treatment in Brazil: A network analysis

Background

Geographic accessibility to healthcare services is a fundamental component in achieving universal health coverage, the central commitment of the Brazilian Unified Health System (SUS). For cancer patients, poor accessibility has been associated with inadequate treatment, worse prognosis, and poorer quality of life.

Methods

We explored nationwide healthcare data from the SUS health information systems, and mapped the geographic accessibility to cancer treatment in two time-frames: 2009-2010 and 2017-2018. We applied social network analysis (SNA) to estimate the commuting route, flow, and distances travelled by cancer patients to undergo surgical, radiotherapy, and chemotherapy treatment.

Findings

A total of 12,751,728 treatment procedures were analyzed. Overall, more than half of the patients (49·2 to 60·7%) needed to travel beyond their municipality of residence for treatment, a fact that did not change over time. Marked regional differences were observed, as patients living in the northern and midwestern regions of the country had to travel longer distances (weighted average of 296 to 870 km). Cancer care hubs and attraction poles were mostly identified in the southeast and northeast regions, with Barretos being the main hub for all types of treatment throughout time.

Interpretation

Important regional disparities in the accessibility to cancer treatment in Brazil were revealed, suggesting the need to review the distribution of specialized care in the country. The data presented here contribute to ongoing research on improving access to cancer care and can provide reference to other countries, offering relevant data for oncological and healthcare service evaluation, monitoring, and strategic planning.

Funding

This work was funded by the Oswaldo Cruz Foundation - Fiocruz (Inova - no. 8451635123 to BPF) and the National Council for Scientific and Technological Development - CNPq (no. 407060/2018-9 to BPF); Coordination for the Improvement of Higher Education Personnel - CAPES (scholarship to PCA, Finance Code 001); and Instituto Nacional de Ciência e Tecnologia de Inovação em Doenças de Populações Negligenciadas (INCT-IDPN).

Resumo

A acessibilidade geográfica aos serviços de saúde é um componente fundamental para o alcance da cobertura universal de saúde, compromisso central do Sistema Único de Saúde (SUS). Para pacientes com câncer, a baixa acessibilidade aos serviços especializados tem sido associada ao tratamento inadequado, piora no prognóstico e na qualidade de vida.Neste estudo, dados de saúde dos sistemas de informação em saúde do SUS foram utilizados para mapear a acessibilidade geográfica ao tratamento do câncer em dois períodos: 2009-2010 e 2017-2018. Aplicamos a análise de redes sociais (ARS) para estimar os fluxos de deslocamento e as distâncias percorridas por pacientes com câncer para receberem tratamento cirúrgico, radioterápico e quimioterápico.Um total de 12.751.728 procedimentos de tratamento foram analisados. Em geral, mais da metade dos pacientes (49,2 a 60,7%) precisaram se deslocar de seus municípios de residência para receber tratamento, fato que não mudou comparando os dois períodos de tempo analisados. Foram observadas importantes diferenças regionais no acesso. Pacientes residentes das regiões norte e centro-oeste do país tiveram que percorrer maiores distâncias para alcançar os serviços (média ponderada = 296 a 870 km). A maioria dos hubs e polos de atração para atendimento oncológico foram identificados nas regiões Sudeste e Nordeste, sendo o município de Barretos o principal hub para todos os tipos de tratamento ao longo do tempo.As disparidades de acessibilidade para o tratamento de câncer, alertam para a necessidade de revisar a distribuição dos serviços de atenção especializada no país. A metodologia e os resultados apresentados neste estudo contribuem para as pesquisas sobre a melhoria do acesso ao tratamento do câncer e podem servir como referência para outros países, oferecendo dados relevantes para avaliação, monitoramento e planejamento estratégico de serviços oncológicos e de saúde em geral.

Provincial variations in radiotherapy utilization as a measure of access: a pan-Canadian study

BACKGROUND AND PURPOSE

Access to radiotherapy (RT) is a key component of a cancer control strategy. However, radiotherapy utilization (RTU) rates fall short of desired benchmarks in certain Canadian provinces. We aimed to describe provincial variations in RTU across Canada.

MATERIALS AND METHODS

We calculated radiotherapy utilization ratios (RTUR) for each Canadian province from 2016 (RT case counts divided by incidence counts), by cancer type (all cancers, lung, breast, rectal, prostate) and treatment intent (curative, palliative) where data were available. Data were extracted from each provincial RT data repository, cancer registry and/or RT department. We compared RTURs descriptively across provinces and to Ontario benchmarks, and calculated an estimated national RTUR. In provinces with capacity for data linkage, RTURs were compared to a linked (patient-specific) method of calculating utilization, by linking each incident case to whether RT was received within 1 year of diagnosis (RTU-1yr).

RESULTS

Excluding three provinces that included re-treatments, all-cancer RTURs ranged from 0.31 in Manitoba to 0.40 in Nova Scotia. The national all-cancer RTUR was 0.35, which was comparable to Ontario benchmarks (0.34). Larger variations were seen by cancer type, with an absolute difference in RTURs of 28% for lung cancers, 27% for breast cancers, 21% for rectal cancers, and 18% for prostate cancers. RTURs for nearly all provinces were below established Ontario benchmarks for each cancer type, except prostate cancer. RTURs over-estimated RTU-1yr by at most 5%, except for prostate cancers where they over-estimated RTU-1yr by up to 15%.

CONCLUSIONS

RTU varies by province in Canada, and most notably by cancer subsite. More granular data at the regional level and by healthcare facility is required to further tailor strategies aimed at improving RT access. RTURs also serve as a reasonable surrogate for linked RTU, and both methods can contribute meaningfully to measure RTU depending on the context and data availability.

Geographic Access to Radiation Therapy Facilities in the United States

BACKGROUND

The current distribution of radiation therapy (RT) facilities in the US is not well established. A comprehensive inventory of US RT facilities was last assessed in 2005, based on data from state regulatory agencies and dosimetric quality assurance bodies. We updated this database to characterize population-level measures of geographic access to RT and analyze changes over the past 15 years.

METHODS

We compiled data from regulatory and accrediting organizations to identify US facilities with linear accelerators used to treat humans in 2018-2020. Addresses were geocoded and analyzed with Geographic Information Services (GIS) software. Geographic access was characterized by assessing the Euclidian distance between zip code tabulation areas (ZCTA)/county centroids and RT facilities. Populations were assigned to each county to estimate the impact of facility changes at the population level. Logistic regressions were performed to identify features associated with increased distance to RT and associated with regions that gained an RT facility between the two time points studied.

RESULTS

In 2020, a total of 2,313 US RT facilities were reported compared to 1,987 in 2005, representing a 16.4% growth in facilities over nearly 15 years. Based on population attribution to ZCTA centroids, 77.9% of the US population lives within 12.5 miles of an RT facility, and 1.8% of the US population lives more than 50 miles from an RT facility. We found that increased distance to RT was associated with non-metro status, less insurance, older median age, and less populated regions. Between 2005 and 2020, the population living within 12.5 miles from an RT facility increased by 2.1 percentage points, while the population living furthest from RT facilities decreased 0.6 percentage points. Regions with improved geographic RT access are more likely to be higher income and better insured.

CONCLUSION

1.8% of the US population has limited geographic access to radiation therapy. We found that people benefiting from improved access to RT facilities are more economically advantaged, suggesting disparities in geographic access may not improve without intervention.

Ninety-day mortality after radiotherapy for head and neck cancer: A population-based comparison between rural and urban patients

BACKGROUND

This study assesses whether 90-day mortality differs between patients living in rural and urban areas, as lower access to supportive care services in rural areas could result in higher mortality.

METHODS

All patients with head and neck cancer (HNC) treated between 1998 and 2014 with radiotherapy in British Columbia were included. Patients were divided into rurality areas according to the Modified Statistics Canada (mSC) definition, which classifies a population <30 000 as rural and ≥30 000 as urban.

RESULTS

Five thousand five hundred and fifty-four patients were included in this study, of which 68% lived in urban centers. The 90-day mortality for rural versus urban patients were 3.0% and 3.9% (p = 0.09), respectively. Univariate and multivariate analyses showed no association with 90-day mortality and rurality.

CONCLUSION

After controlling for potentially confounding factors, we did not find a significant association between 90-day mortality and rurality in patients who were treated with radiotherapy for HNC in British Columbia.

Indirect costs associated with out-of-country referral for proton therapy: a survey of adult and pediatric patients in Alberta, Canada

Background

Patients in Alberta, Canada are referred to the United States (US) for proton treatment. The Alberta Ministry of Health pays for the proton treatment and the cost of flights to and from the United States. This study aimed to determine the out-of-pocket expenses incurred by patients or patients’ families.

Methods

An electronic survey was sent to 59 patients treated with proton therapy between January 2008 and September 2019. Survey questions asked about expenses related to travel to the US and those incurred while staying in the US, reimbursement of expenses, and whether any time away from work was paid or unpaid leave.

Results

Seventeen respondents (response rate, 29%) reported expenses of flights for family members (mean, CAD 1886; range CAD 0–5627), passports/visas and other travel costs (mean, CAD 124; range CAD 0–546), accommodation during travel to the US (mean, CAD 50; range CAD 0–563), food during travel to the US (mean, CAD 89; range CAD 0–338), accommodation in the US (rented home/apartment mean, CAD 7394; range CAD 3075-13,305; hotel mean, CAD 4730; range CAD 3564-5895; other accommodation mean CAD 2660; range CAD 0–13,842), transportation in the US (car mean, CAD 2760; range CAD 0–7649; bus/subway mean, CAD 413; range CAD 246–580), and food in the US (mean, CAD 2443; range 0–6921). Expenses were partially reimbursed or covered by not-for-profit organizations or government agencies for some patients (35%). Patients missed a mean of 59 days of work; accompanying family members missed an average of 34 days. For 29% this time away from work was paid, but unpaid for 71% of respondents.

Conclusions

Multiple factors contributed to the expenses incurred including age of the patient, number of accompanying individuals, available accommodation, mode of transportation within the US, and whether the patient qualified for financial support. Added to this burden is the potential loss of wages for time away from work. The study showed a large variation in indirect costs for each family and supports actively seeking more opportunities for financial support for families with children with cancer.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-021-06701-z.

The impact of sociodemographic factors on the utilization of radiation therapy in breast cancer patients in Estonia: a register-based study

Background

Radiation therapy is an important part of multimodal breast cancer treatment. The aim was to examine the impact of sociodemographic factors on radiation therapy use in breast cancer (BC) patients in Estonia, linking cancer registry data to administrative databases.

Methods

Estonian Cancer Registry provided data on women diagnosed with BC in Estonia in 2007–2018, including TNM stage at diagnosis. Use of radiation therapy within 12 months of diagnosis was determined from Estonian Health Insurance Funds claims, and sociodemographic characteristics from population registry. Receipt of radiation therapy was evaluated over time and by clinical and sociodemographic factors. Poisson regression with robust variance was used to calculate univariate and multivariate prevalence rate ratios (PRR) with 95 % confidence intervals (CI) for receipt of radiation therapy among stage I–III BC patients age < 70 years who underwent primary surgery.

Results

Overall, of 8637 women included in the study, 4310 (50 %) received radiation therapy within 12 months of diagnosis. This proportion increased from 39 to 58 % from 2007 to 2009 to 2016–2018 (p < 0.001). Multivariate regression analysis showed that compared to women with stage I BC, those with more advanced stage were less likely to receive radiation therapy. Receipt of radiation therapy increased significantly over time and was nearly 40 % higher in 2016–2018 than in 2007–2009. Use of radiation therapy was significantly lower for women with the lowest level of education compared to those with a university degree (PRR 0.88, 95 % CI 0.80–0.97), and for divorced/widowed women (PRR 0.95, 95 % CI 0.91–0.99) and single women (PRR 0.92, 95 % CI 0.86–0.99), compared to married women. Age at diagnosis, nationality and place of residence were not associated with receipt of radiation therapy.

Conclusions

The study showed considerable increase in the use of radiation therapy in Estonia over the study period, which is in line with increases in available equipment. The lack of geographic variations suggests equal access to therapy for patients living in remote regions. However, educational level and marital status were significantly associated with receipt of radiation therapy, highlighting the importance of psychosocial support in ensuring equal access to care.

Implementation of Single-Fraction Lung Stereotactic Ablative Radiotherapy in a Multicenter Provincial Cancer Program During the COVID-19 Pandemic

Background During the novel coronavirus disease 2019 (COVID-19) pandemic, cancer centers considered shortened courses of radiotherapy to minimize the risk of infectious exposure of patients and staff members. Amidst a pandemic, the process of implementing new treatment approaches can be particularly challenging in larger institutions with multiple treatment centers. We describe the implementation of single-fraction (SF) lung stereotactic ablative radiotherapy (SABR) in a multicenter provincial cancer program. Materials and Methods British Columbia, Canada has a provincial cancer program with six geographically distributed radiotherapy centers serving a population of 5.1 million, over 944,735 square kilometers. In March 2020, provincial mitigation strategies were developed in case of reduced access to radiotherapy due to the COVID-19 pandemic. SF lung SABR was identified by the provincial lung radiation oncology group as a mitigation measure supported by high-quality randomized evidence that could provide comparable outcomes and toxicity to existing fractionated SABR protocols. A working group consisting of radiation oncologists and medical physicists reviewed the medical literature and drafted consensus guidelines that were reviewed by a group of center representatives as a component of provincial lung radiotherapy mitigation strategic planning. Individual centers were encouraged to implement SF lung SABR as their resources and staffing would allow. Centers were then surveyed about barriers to implementation. Results On March 24, 2020, a working group was created and consensus guidelines for SF lung SABR were drafted. The final version was approved and distributed by the working group on March 26, 2020. The provincial lung radiotherapy mitigation strategy group adopted the guidelines for implementation on April 1, 2020. Implementation was completed at the first center on April 27, 2020. Barriers to implementation were identified at five of six centers. Two centers in regions with disproportionately high COVID-19 cases described inadequate staffing as a barrier to implementation. One center encountered delays due to pre-scheduled commissioning of new treatment techniques. Three centers cited competing priorities as reasons for delay. As of May 2021, two centers had active SF lung SABR programs in place, three centers were in the process of implementation, and one center had no immediate plans for implementation due to ongoing resource issues. Conclusion SF lung SABR was adopted by a provincial cancer program within weeks of conception through rapid communication during the development of COVID-19 pandemic mitigation strategies for radiotherapy. Although consensus guidelines were written and approved in an expedited timeframe, the completion of implementation by individual centers was variable due to differences in resource allocation and staffing among the centers. Strong organizational structures and early identification of potential barriers may improve the efficiency of implementing new treatment initiatives in large multicenter radiotherapy programs.

Experiences of older adults accessing specialized health care services in rural and remote areas: a qualitative systematic review

OBJECTIVE

The objective of this review was to synthesize the literature on the experiences of older adults accessing specialized health care services while living in remote or rural areas.

INTRODUCTION

Older persons with chronic illnesses often need specialized health care services. Those who live in remote or rural areas may have limited access to these specialized health care services, potentially leading to an increase in morbidity and mortality. Little is known about the experiences of older adults accessing specialized health care services while living in remote or rural areas.

INCLUSION CRITERIA

This review considered studies of persons 65 years and older who have self-identified as living in remote or rural areas. They will have, on at least one occasion, sought access in person to specialized health care services for a chronic condition such as cardiovascular disease, renal disease, diabetes, cancer, mental illness, or a major health concern beyond the scope of a primary care clinician, such as palliative care.

METHODS

The search strategy aimed to find both published and unpublished studies in English from 1980 onward. An initial limited search of MEDLINE and CINAHL was undertaken in February 2017, followed by analysis of the text words contained in the title and abstract, and of the index terms used to describe the articles. This informed the development of a search strategy, which was tailored for each information source. The search was first conducted in December 2018 and rerun in November 2019. The databases searched included CINAHL, PubMed, PsycINFO, and AgeLine. The search for unpublished studies included ProQuest Dissertations and Theses, Google Scholar, and MedNar. Papers meeting the inclusion criteria were appraised by two independent reviewers for methodological quality. Data extraction was conducted according to the standardized data extraction tool from JBI. The qualitative research findings were pooled using the JBI method of meta-aggregation.

RESULTS

Three papers were included in the review yielding a total of five findings and two categories. The categories were aggregated to form one synthesized finding: Distance often results in challenges accessing health care. For almost all older adults, the long distance to drive for specialized services was a barrier, especially for those living far out in the country, and led to delayed care. Lack of health education and peer support was also viewed as an issue. For one older adult, however, the distance was not seen as an issue; rather, it was viewed as an opportunity to enjoy time with family members. Participants noted that they had access to emergency care and, therefore, believed they were not putting their lives at risk by living in a rural area. The overall ConQual score was low.

CONCLUSION

We believe that the distance to travel to obtain specialized services, as well as living in an area without specialized services, impacted this population's experience of obtaining specialized health care as well as their health. The spectrum of findings for our synthesized finding suggests that this was the case for some people, but not all. We speculate that people who have chosen to live outside an urban area or have lived in a rural area for a prolonged period come to accept their access to health care, including the distance to travel for health care and their potential for this to impact their health. The findings also suggest the older adults have a range of experiences; for some, distance was an issue and for others, it was not an issue. Some participants found living in a rural area impacted their care while others did not.

Multilevel modeling of geographic variation in general practice consultations

OBJECTIVE

To test relatively simple and complex models for examining model fit, higher-level variation in, and correlates of, GP consultations, where known nonhierarchical data structures are present.

SETTING

New South Wales (NSW), Australia.

DESIGN

Association between socioeconomic circumstances and geographic remoteness with GP consultation frequencies per participant was assessed using single-level, hierarchical, and multiple membership cross-classified (MMCC) models. Models were adjusted for age, gender, and a range of socioeconomic and demographic confounds.

DATA COLLECTION/EXTRACTION METHODS

A total of 261,930 participants in the Sax Institute's 45 and Up Study were linked to all GP consultation records (Medicare Benefits Schedule; Department of Human Services) within 12 months of baseline (2006-2009).

PRINCIPAL FINDINGS

Deviance information criterion values indicated the MMCC negative binomial regression was the best fitting model, relative to an MMCC Poisson equivalent and simpler hierarchical and single-level models. Between-area variances were relatively consistent across models, even when between GP variation was estimated. Lower rates of GP consultation outside of major cities were only observed once between-GP variation was assessed simultaneously with between-area variation in the MMCC models.

CONCLUSIONS

Application of the MMCC model is necessary for estimation of variances and effect sizes in sources of big data on primary care in which complex nonhierarchical clustering by geographical area and GP is present.

Travel Time to Radiation Oncology Facilities in the United States and the Influence of Certificate of Need Policies

PURPOSE

Radiation therapy often requires weeks of daily treatment making travel distance a known barrier to care. However, the full extent and variability of travel burden, defined by travel time, across the nation is poorly understood. Additionally, some states restrict radiation oncology (RO) services through Certificate of Need (CON) policies, but it is unknown how this affects travel times to care. Therefore, we aim to evaluate travel times to US RO facilities and assess the association with CON policies.

METHODS AND MATERIALS

RO facilities were identified from the 2018 National Plan and Provider Enumeration System (n = 2302). Travel times from populated US census tracts to nearest facility were calculated; differences by rurality, area deprivation, and region were computed. Multivariable linear regression was used to estimate adjusted differences in travel time by area characteristics. Logistic regression was used to assess the association of state CON laws with travel time >1 hour.

RESULTS

Among 72,471 census tracts, 92.4% were within 1 hour of the nearest radiation facility. Among the 12,453 rural tracts, 34.4% were >1 hour. On adjusted analysis, the 3054 isolated rural tracts had an estimated 58-minute (95% confidence interval [CI] 57, 59; P < .001) longer travel time than urban tracts. CON laws decreased rural travel time overall, but the association varied by region with decreased odds of prolonged travel in the South (P < .001), increased odds in the Northeast and Midwest (P < .001), and no association in the West (P = NS).

CONCLUSIONS

Isolated rural US census tracts, accounting for 9.4 million Americans, have nearly 1-hour longer adjusted travel time to the nearest RO facility, compared with urban tracts. CON laws had region-dependent associations with prolonged travel.

Trends in the Geospatial Distribution of Adult Inpatient Surgical Cancer Care Across the United States

INTRODUCTION

The relationship and trends of geography and travel distance to access surgical cancer care has been poorly characterized. The objective of the study was to define the geographic distribution of access to hospital-based operative cancer care across the USA.

METHODS

A cohort analysis was performed using the 2005 and 2015 American Hospital Association Annual Survey, Census Bureau Data for 2010, and the American Community Survey 5-year estimates for 2011 to 2016.

RESULTS

The number of hospitals that provided surgical services with an approved American College of Surgeons (ACS) cancer program slightly increased over the time periods examined (2005, n = 1203 vs. 2015, n = 1284; p = 0.7210). Based on geospatial analysis, 18,214,994 (5.9%) people lived more than 60 min from a hospital with a cancer program in 2005 compared with 34,630,516 (11.2%) by 2015. Communities within a 60-min drive time were more likely to be composed of individuals who completed high school (85.9% vs. 84.2%), were employed (62.7% vs. 57.1%), had a higher median household income ($67.4 k vs. $53.2 k), and lived within states that had expanded Medicaid (62.5% vs. 48.9%) (all p < 0.0001). In contrast, communities outside of a 60-min drive time had a greater proportion of individuals below the federal poverty level (18.3% vs. 16.5%; p < 0.0001).

CONCLUSIONS

While the number of hospitals with ACS approved cancer program designation increased over the last decade, the number of people living greater than 60 min from an approved cancer programs nearly doubled. These data highlight worrisome geospatial trends that may make access to cancer care for certain patient populations increasingly challenging.

Current State of Geospatial Methodologic Approaches in Canadian Population Oncology Research

Geospatial analyses are increasingly used in population oncology. We provide a first review of geospatial analysis in Canadian population oncology research, compare to international peers, and identify future directions. Geospatial-focused peer-reviewed publications from 1992-2020 were compiled using PubMed, MEDLINE, Web of Science, and Google Scholar. Abstracts were screened for data derived from a Canadian cancer registry and use of geographic information systems. Studies were classified by geospatial methodology, geospatial unit, location, cancer site, and study year. Common limitations were documented from article discussion sections. Our search identified 71 publications using data from all provincial and national cancer registries. Thirty-nine percent (N = 28) were published in the most recent 5-year period (2016-2020). Geospatial methodologies included exposure assessment (32.4%), identifying spatial associations (21.1%), proximity analysis (16.9%), cluster detection (15.5%), and descriptive mapping (14.1%). Common limitations included confounding, ecologic fallacy, not accounting for residential mobility, and small case/population sizes. Geospatial analyses are increasingly used in Canadian population oncology; however, efforts are concentrated among a few provinces and common cancer sites, and data are over a decade old. Limitations were similar to those documented internationally, and more work is needed to address them. Organized efforts are needed to identify common challenges, develop leading practices, and identify shared priorities.

Accessing surgical care for pancreaticoduodenectomy: Patient variation in travel distance and choice to bypass hospitals to reach higher volume centers

BACKGROUND

While better outcomes at high-volume surgical centers have driven regionalization of complex surgical care, access to high-volume centers often requires travel over longer distances. We sought to evaluate travel patterns of patients undergoing pancreaticoduodenectomy (PD) for pancreatic cancer to assess willingness of patients to travel for surgical care.

METHODS

The California Office of Statewide Health Planning database was used to identify patients who underwent PD between 2005 and 2016. Total distance traveled, as well as whether a patient bypassed the nearest hospital that performed PD to get to a higher-volume center was assessed. Multivariate analyses were used to identify factors associated with bypassing a local hospital for a higher-volume center.

RESULTS

Among 23 014 patients who underwent PD, individuals traveled a median distance of 18.0 miles to get to a hospital that performed PD. The overwhelming majority (84%) of patients bypassed the nearest providing hospital and traveled a median additional 16.6 miles to their destination hospital. Among patients who bypassed the nearest hospital, 13,269 (68.6%) did so for a high-volume destination hospital. Specifically, average annual PD volume at the nearest "bypassed" vs final destination hospital was 29.6 vs 56 cases, respectively. Outcomes at bypassed vs destination hospitals varied (incidence of complications: 39.2% vs 32.4%; failure-to-rescue: 14.5% vs 9.1%). PD at a high-volume center was associated with lower mortality (OR = 0.46 95% CI, 0.22-0.95). High-volume PD ( > 20 cases) was predictive of hospital bypass (OR = 3.8 95% CI, 3.3-4.4). Among patients who had surgery at a low-volume center, nearly 20% bypassed a high-volume hospital in route. Furthermore, among patients who did not bypass a high-volume hospital, one-third would have needed to travel only an additional 30 miles or less to reach the nearest high-volume hospital.

CONCLUSION

Most patients undergoing PD bypassed the nearest providing hospital to seek care at a higher-volume hospital. While these data reflect increased regionalization of complex surgical care, nearly 1 in 5 patients still underwent PD at a low-volume center.

Access to radiotherapy and its association with cancer outcomes in a high-income country: Addressing the inequity in Canada

BACKGROUND AND PURPOSE

Canada is a high-income country with universal healthcare. In international comparisons, its overall level of access to radiotherapy appears sufficient. However, challenges exist due to Canada's large geographic area and small population density. The association between access and cancer outcomes nationally has not yet been described.

MATERIALS AND METHODS

We quantified geographic accessibility for 2012 using the linear distance from each Canadian health region centroid to the nearest radiotherapy center. We used geospatial analytic techniques to detect clusters of age-standardized all-cancer mortality-to-incidence ratios (MIRs) across health regions, from 2010-2012. Global ordinary least squares (OLS) and geographically-weighted regression (GWR) were conducted to examine relationships between distance and MIR, adjusting for sociodemographic factors.

RESULTS

Median distance from health region centroid to nearest radiotherapy center was 101.73 km (range 1.14-2095.12). One cluster of worse outcomes (MIR range 0.45-0.88) involved most of northern Canada, with a second cluster of better outcomes (MIR range 0.40-0.41) in southern British Columbia. In both regression models, regions with longer distance to radiotherapy center (ß = 0.0001), increased smoking (ß = 0.002), and poorer food security (ß = -0.003) were significantly associated with worse outcomes (OLS R² = 0.70, GWR R² = 0.74). Distance remained independently associated with MIR for lung and colorectal cancer subgroups, but not breast and prostate.

CONCLUSIONS

A clear north-south discordance in cancer outcomes exists in Canada, with poorer outcomes in the north, while radiotherapy centers are concentrated along the south. Increased distance to radiotherapy, along with other sociodemographic and health-system factors, are associated with poorer cancer outcomes. Our study could be replicated, particularly in other high-income countries, to help identify national patterns and regional disparities in access and outcomes.

Provincial development of a patient-reported outcome initiative to guide patient care, quality improvement, and research

The BC Cancer Agency Radiotherapy (RT) program started the Prospective Outcomes and Support Initiative (POSI) at all six centres to utilize patient-reported outcomes for immediate clinical care, quality improvement, and research. Patient-reported outcomes were collected at time of computed tomography simulation via tablet and 2 to 4 weeks post-RT via either tablet or over the phone by a registered nurse. From 2013 to 2016, patients were approached on 20,150 attempts by POSI for patients treated with RT for bone metastases (52%), brain metastases (11%), lung cancer (17%), gynecological cancer (16%), head and neck cancer (2%), and other pilots (2%). The accrual rate for all encounters was 85% (n = 17,101), with the accrual rate varying between the lowest and the highest accruing centre from 78% to 89% ( P < .001) and varying by tumour site ( P < .001). Using the POSI database, we have performed research and quality improvement initiatives that have changed practice.

Factors influencing access to palliative radiotherapy: a Norwegian population-based study

BACKGROUND

Palliative radiotherapy (PRT) comprises half of all radiotherapy use and is an effective and important treatment modality for improving quality of life in incurable cancer patients. We have described the use of PRT in Norway and aimed to identify and quantify the impact of factors associated with PRT utilization.

MATERIAL AND METHODS

Population-based data from the Cancer Registry of Norway identified 25,281 patients who died of cancer, 1 July 2009-31 December 2011. Additionally, individual-level data on socioeconomic status and community-level data on travel distance were collected. The proportion of patients who received PRT in the last two years of life (PRT_2Y) was calculated, and multivariable logistic regression was used to determine factors that influenced the PRT_2Y. Analyses of geographic variation in PRT use were also performed for the time period 2012-2016.

RESULTS

PRT_2Y for all cancer sites combined was 29.6% with wide geographic variations (standardized inter-county range; 21.8-36.6%). Female gender, increasing age at death, certain cancer sites, short survival time, and previous receipt of curative radiotherapy were associated with decreased odds of receiving PRT. Patients with low education, those living in certain counties, or with travel distances 100-499 km, were also less likely to receive PRT. Patients with low household income (adjusted odds ratio (OR) = 0.63; 95% confidence interval (CI) = 0.56-0.72) and those diagnosed in hospitals without radiotherapy facility (OR = 0.70; 95% CI = 0.64-0.77) had especially low likelihood of receiving PRT. Significant inter-county variation in use of PRT remained during the time period 2012-2016.

CONCLUSIONS

Despite a publicly funded, universal healthcare system with equity as a stated health policy aim, utilization of PRT in Norway is significantly associated with factors such as household income and availability of radiotherapy facility at the diagnosing hospital. Even after adjustments for relevant factors, unexplained geographic variations in PRT utilization exist.

Optimizing Travel Time to Outpatient Interventional Radiology Procedures in a Multi-Site Hospital System Using a Google Maps Application

The purpose of this study is to determine whether a custom Google Maps application can optimize site selection when scheduling outpatient interventional radiology (IR) procedures within a multi-site hospital system. The Google Maps for Business Application Programming Interface (API) was used to develop an internal web application that uses real-time traffic data to determine estimated travel time (ETT; minutes) and estimated travel distance (ETD; miles) from a patient's home to each a nearby IR facility in our hospital system. Hypothetical patient home addresses based on the 33 cities comprising our institution's catchment area were used to determine the optimal IR site for hypothetical patients traveling from each city based on real-time traffic conditions. For 10/33 (30%) cities, there was discordance between the optimal IR site based on ETT and the optimal IR site based on ETD at non-rush hour time or rush hour time. By choosing to travel to an IR site based on ETT rather than ETD, patients from discordant cities were predicted to save an average of 7.29 min during non-rush hour (p = 0.03), and 28.80 min during rush hour (p < 0.001). Using a custom Google Maps application to schedule outpatients for IR procedures can effectively reduce patient travel time when more than one location providing IR procedures is available within the same hospital system.

Spatial barriers impact upon appropriate delivery of radiotherapy in breast cancer patients

Radiotherapy (RT) is the standard treatment for breast cancer patients after conserving surgery or mastectomy when patients are at high risk of relapse. Major obstacles to appropriate RT delivery are journey times. Since studies on access to RT were carried out mostly in large countries, this study investigated factors in an Italian region and the influence of RT delivery on survival. A total of 4735 female candidates for RT were included in the study. A geographic information system calculated journey times from patients' homes and surgery hospitals to RT centers. Logistic regression analyzed the influence of journey times, socioeconomic status, and other factors on RT delivery. Survival probabilities and excess mortality were assessed in 4364 propensity score-matched patients. Journey times of 40 min or less from residence and from surgery hospital to RT center played a major role in access to RT. A large survival difference emerged between treated and untreated breast cancer patients. The excess mortality for untreated patients compared with propensity score-matched women receiving RT was 3.1 (95% CI: 2.2-4.3). Expansion of RT facilities during the 11-year study period improved RT delivery and outcomes by increasing availability but mainly by shortening journey times.

Are Patients Traveling for Intraoperative Radiation Therapy?

Purpose

One benefit of intraoperative radiation therapy (IORT) is that it usually requires a single treatment, thus potentially eliminating distance as a barrier to receipt of whole breast irradiation. The aim of this study was to evaluate the distance traveled by IORT patients at our institution.

Methods

Our institutional prospective registry was used to identify IORT patients from 10/2011 to 2/2017. Patient's home zip code was compared to institution zip code to determine travel distance. Characteristics of local (<50 miles), regional (50-100 miles), and faraway (>100 miles) patients were compared.

Results

150 were patients included with a median travel distance of 27 miles and mean travel distance of 121 miles. Most were local (68.7%), with the second largest group living faraway (20.0%). Subset analysis of local patients demonstrated 20.4% traveled <10 miles, 34.0% traveled 10-20 miles, and 45.6% traveled 20-50 miles. Six patients traveled >1000 miles. The local, regional, and faraway patients did not differ with respect to age, race, tumor characteristics, or whole breast irradiation.

Conclusions

Breast cancer patients are traveling for IORT, with 63% traveling >20 miles for care. IORT is an excellent strategy to promote breast conservation in selected patients, particularly those who live remote from a radiation facility.

Telemedicine and primary care obesity management in rural areas - innovative approach for older adults?

BACKGROUND

The growing prevalence of obesity is paralleling a rise in the older adult population creating an increased risk of functional impairment, nursing home placement and early mortality. The Centers for Medicare and Medicaid recognized the importance of treating obesity and instituted a benefit in primary care settings to encourage intensive behavioral therapy in beneficiaries by primary care clinicians. This benefit covers frequent, brief, clinic visits designed to address older adult obesity.

DISCUSSION

We describe the challenges in the implementation and delivery into real-world settings. The challenges in rural settings that have the fastest growing elderly population, high obesity rates, but also workforce shortages and lack of specialized services are emphasized. The use of Telemedicine has successfully been implemented in other specialties and could be a useful modality in delivering much needed intensive behavioral therapy, particularly in distant, under-resourced environments. This review outlines some of the challenges with the current benefit and proposed solutions in overcoming rural primary care barriers to implementation, including changes in staffing models.

CONCLUSIONS

Recommendations to extend the benefit's coverage to be more inclusive of non-physician team members is needed but also for improvement in reimbursement for telemedicine services for older adults with obesity.