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Oncology Reviews logoLink to Oncology Reviews
. 2024 Nov 5;18:1427441. doi: 10.3389/or.2024.1427441

Interventions to improve access to cancer care in underserved populations in high income countries: a systematic review

Anna Santos Salas 1,2,*, Nahyeni Bassah 1, Anna Pujadas Botey 2,3, Paula Robson 3,4,5, Julia Beranek 1, Iqmat Iyiola 1, Megan Kennedy 6
PMCID: PMC11573526  PMID: 39564594

Abstract

Background

Underserved populations both globally and in Canada face serious cancer inequities that result from systemic economic, environmental, and social conditions. These pose barriers in access to cancer care and lead to suboptimal cancer care experiences and outcomes. Knowledge of effective interventions to improve access to cancer care is needed to inform the design of tailored interventions for these populations.

Aim

To identify interventions and programs to improve access to cancer care for underserved populations in high income countries with universal health coverage (UHC) and the United States (US) throughout the cancer care continuum.

Methods

We conducted a systematic review following the PRISMA standards. We searched Medline, EMBASE, PsycINFO, CINAHL, Scopus, and the Cochrane Library. Inclusion criteria: quantitative and qualitative studies published in English in the last 10 years (2013–2023), describing interventions/programs to improve access to cancer care for underserved populations (18 years and over). We included studies in the US given the body of scholarship on equity in cancer care in that country. Screening, data extraction and analysis were undertaken by two independent reviewers.

Results

Our search yielded 7,549 articles, and 74 met the inclusion criteria. Of these, 56 were conducted in the US, 8 in Australia, 6 in Canada, and 4 in the United Kingdom. Most (90.5%) were quantitative studies and 47.3% were published between 2020–2023. Seven types of interventions were identified: patient navigation, education and counselling, virtual health, service redesign, financial support, improving geographical accessibility and multicomponent interventions. Interventions were mainly designed to mitigate language, distance, financial, lack of knowledge and cultural barriers. Most interventions focused on access to cancer screening, targeted rural populations, racialized groups and people with low socioeconomic status, and were conducted in community-based settings. The majority of interventions or programs significantly improved access to cancer care.

Conclusion

Our systematic review findings suggest that interventions designed to remove specific barriers faced by underserved populations can improve access to cancer care. Few studies came from countries with UHC. Research is required to understand tailored interventions for underserved populations in countries with UHC.

Keywords: systematic review, health equity, neoplasms, underserved populations, healthcare access, high income countries, universal healthcare

Introduction

Cancer is among the leading causes of death globally (1). In 2020, there were 19.3 million new cancer cases and 10 million cancer deaths in the world (2). In Canada, cancer is the leading cause of death representing 28.2% of all deaths in 2022 (3). In 2023, 239,100 Canadians were expected to have a cancer diagnosis while 86,700 were expected to die of cancer (4). Two in five Canadians are likely to develop cancer in their lifetime and one in four Canadians are likely to die of cancer (5). Advances in cancer care in Canada have resulted in prolonged survival for some cancers (6). Increases in cancer survival rates are reported for many cancers and across Canadian provinces (4). The 5-year cancer survival index (CSI), an indicator of cancer survival for all cancers, grew 8.4 percentage points from 1992 to 1994 to the 2015–2017 period, nearing 64% (4). Similarly, although the number of cancer deaths has increased, mostly due to population growth and aging, cancer mortality rates have decreased 39% in males and 26% in females since 1988 (4).

Disparities in cancer care represent a significant global challenge (1). In the United States (US), disparities in cancer survival and mortality affecting Blacks and Latino populations are reported (79). The lack of universal health coverage (UHC) is associated with inequalities in access to healthcare (10). However, health inequalities in countries with UHC exist (11, 12). In Canada, a country with UHC, progress in cancer care has not been equal for all Canadians. Late cancer diagnoses (13) and lower survival rates are among cancer disparities affecting underserved populations (14, 15). These outcomes are associated with inequalities in access to screening, diagnosis, curative treatment, survivorship care, and palliative care (14, 16, 17). Underserved populations may be overrepresented among those with a late cancer diagnosis (18, 19). For example, incidence rates of lung cancer, the main cause of cancer deaths in Canada, are 1.7 times higher in Canadians living in low-income areas than those living in high-income areas (20). Canadians living with low income also are less likely to receive curative treatment even when diagnosed at an earlier stage (21, 22). The highest rates of lung and colorectal cancer prevalence—the first and second leading causes of cancer deaths in Canada, respectively–were found among people from the lowest income quintiles (6) Cancer disparities affecting rural (13), remote (23), and immigrant populations also exist (13, 2426). Studies report disparities in breast cancer screening and diagnosis for immigrant women (2426). Higher rates of mastectomies were reported for women living in rural and remote areas and those with longer travel distances to radiation treatment centres than women living in urban areas and those living closer to radiation treatment centres (14).

Universal health coverage entails the provision of high quality health services, access to high quality health services, and financial risk protection for people who need to use these services (27). The commitment of world leaders to achieve UHC is seen in target 3.8 of the United Nations Sustainable Development Goal #3 “Ensure healthy lives and promote wellbeing for all at all ages” (28). Canada ensures UHC for all Canadians for medically essential hospital, physician, and diagnostic services (29). This entails the provision of care at no charge for these services (29). However, systemic barriers associated with income, race and ethnicity, Indigenous identity, immigration status, geographical location, gender identity, and language, among others, contribute to inequities in access to healthcare (29).

In 2023, the Canadian Cancer Society issued a report identifying 10 underserved communities experiencing systematic disadvantage and barriers in access to cancer information and services as a result of their racial background, gender identity, sexual orientation, geographical location, socioeconomic status, or language, among others (30). In Alberta, the home province of the study authors, low uptake of cancer screening services was identified for low income, rural and remote, gender diverse, and Indigenous populations in this province (31). Studies report successful interventions to support access to cancer care in underserved groups such as comprehensive interprofessional care, intersectoral collaboration, community engagement, empowerment, consultation services, and patient navigation (3236). However, evidence concerning the types of interventions needed to improve access to cancer care in underserved populations in high income countries with UHC is limited.

To our knowledge, no systematic review of interventions in countries with UHC has been conducted. Increasing our understanding of these interventions and their impact could help inform strategies to improve cancer equity and outcomes in underserved populations in Alberta and Canada (37). In collaboration with Cancer Care Alberta stakeholders (APB, PR), we designed a systematic review of interventions to improve access to cancer care throughout the cancer care continuum in underserved populations in high income countries with UHC, with a view to inform the design of tailored interventions in our province. We included studies from the US considering scholarship in the area in this country and policy changes resulting in increased access to healthcare for underserved communities (10).

Methods

Population, interventions, comparison group and outcome

The population for this study was adult patients (18 years and older) diagnosed with cancer at any stage from underserved populations in high income countries with UHC and the US. Studies with Indigenous peoples were excluded.

The interventions of interest for this review were any intervention with the goal to increase access to cancer care along the cancer care continuum (38, 39). We included formal evaluations of programs that had the same goal. Interventions that addressed access to healthcare dimensions (40), such as availability and accommodation, approachability, accessibility, acceptability, and affordability of services were included.

Data sources and search strategy

Our review is reported in adherence to the PRISMA statement, the PRISMA for Searching (PRISMA-S) extension (41). Methodological guidance was taken from the Cochrane Handbook for Systematic Reviews of Interventions (42).

In order to identify all relevant published studies, a comprehensive, systematic search was conducted by a health sciences librarian (MK) familiar with systematic review methodology. Searches were conducted using the following bibliographic databases on 10 May 2023: Medline, EMBASE, and PsycINFO via OVID; Cumulative Index to Nursing and Allied Health Literature (CINAHL) via EBSCOhost; Scopus; and the Cochrane Library via Wiley. All databases were searched from inception to present. The search strategy was derived from three main concepts: 1) Vulnerable populations including people living in rural communities, people with intellectual disabilities, people with physical disabilities or mobility problems, people with lower socioeconomic status, and people from racially marginalized groups; 2) Cancer care including treatment, management, and surgical care; 3) Access to healthcare services or health services accessibility. The search strategies for each database were constructed using a combination of natural language keywords and subject headings, such as MeSH, wherever they were available. Results were focused geographically on Canada, Australia, New Zealand, the United Kingdom, Scandinavian nations, and the United States. Limits of English language and publication date 2013–2023 were applied. We limited the search to the last 10 years to ensure review feasibility. Randomized controlled trials, controlled trials, before-and-after studies and interrupted time series (with or without control) and observational, qualitative, or mixed methods were included. Additionally, publication types of case reports, comments, letters, editorials, conference materials, and news items were removed from the results. See Supplementary Appendix 1 for full search strategies for each database.

Results were exported in complete batches from the databases on 10 May 2023. The synthesis review management software, Covidence©, was used to remove duplicate records and manage the title/abstract and full-text screening phases of the review. The reference list of all included articles was searched for additional studies. We also conducted a Scopus citation chaining to identify other potentially eligible articles and a focused grey literature search on PubMed and Google to identify additional Canadian studies.

Study selection process

The review team was trained by the senior team members (NB, AS) to ensure consistency with review processes. First, titles and abstracts were screened by two independent reviewers. Secondly, full-texts of potentially eligible studies were assessed for eligibility by two independent reviewers. Disagreements were resolved through discussion and by a third senior team member (AS, NB).

Quality assessment and risk of bias

Four reviewers (NB, JB, IqI, HJ) were involved in quality appraisal of included articles, with two independent reviewers assessing the methodological quality of each included study. We employed the Quality Assessment Tool for Quantitative Studies (43), and the Critical Appraisal Skills Programme (CASP) Qualitative Studies Checklist (44).

Data synthesis and analysis

Data were extracted using a structured form developed based on review objectives. Categories included authors and year of publication, country, aim, design, cancer care setting, population characteristics, type of intervention, intervention characteristics, and outcomes. We undertook thematic analysis (45) of the findings and produced a narrative synthesis of the themes. Interventions and programs were grouped according to shared characteristics and were organized under a primary theme. We undertook a separate analysis of Canadian studies.

Results

Study characteristics

We obtained 7,549 articles from database searches and 8 from citation chaining and grey literature. A total of 3,684 duplicates were removed. We screened the titles and abstracts of 3,873 articles and 3,693 did not meet our inclusion criteria. A total of 180 full texts were screened and 74 met the inclusion criteria (Figure 1). Of the 74 studies, 56 were conducted in the US, 8 in Australia, 6 in Canada, and 4 in the United Kingdom. They were published between 2013 and 2023. There was an increase in studies describing access to cancer care interventions for underserved populations in the literature, with 47% published in the last 3 years (2020–2023) (Table 1).

FIGURE 1.

FIGURE 1

PRISMA diagram.

TABLE 1.

Sociodemographic characteristics of study populations.

Characteristics N (%)
Publication dates
• 2013–2019 39 (52.7)
• 2020–2023 35 (47.3)
Country
• United States of America 56 (76.0)
• Australia 8 (11.0)
• Canada 6 (8.0)
• United Kingdom 4 (5.0)
Setting
• Community-based 55 (74.3)
• Cancer centres and hospitals 15 (20.2)
• Virtually with no specific setting identified 2 (2.7)
• Hospice 1 (1.4)
• Correctional setting 1 (1.4)
Underserved group
• Low socioeconomic status 26 (35)
• Rural 26 (35)
• Racialized (African American/Black, Latino/as, Vietnamese, Asian including Chinese, Korean) 12 (16)
• Others (Underserved women, underserved men, veteran, uninsured, incarcerated people) 10 (14)
Type of cancer
• Mixed diagnoses 28 (37.9)
• Breast 19 (25.6)
• Colorectal 12 (16.2)
• Lung 5 (6.8)
• Cervical 4 (5.4)
• Others 6 (8.1)
Study design
• Observational: retrospective and prospective 39 (58.2)
• Quasi-experimental controlled or pretest and/or post-test single group 15 (22.4)
• Randomized controlled trials (RCTs) 13 (19.4)
• Qualitative 4 (5.4)
• Mixed methods 3 (4.1)
Type of intervention or program
• Multicomponent 22 (29.7)
• Virtual health 14 (18.9)
• Navigation 12 (16.2)
• Service redesign 10 (13.5)
• Education and counselling 7 (9.5)
• Financial support 5 (6.8)
• Reducing geographical distance 4 (5.4)
Cancer care continuum
• Screening 50 (67.6)
• Cancer treatments 15 (20.3)
• Genetic counselling 3 (4)
• Psychosocial and supportive care 3 (4)
• Palliative care 2 (2.7)
• Survivorship care 1 (1.4)
Key outcomes
• Access to screening services 24 (32.4)
• Access to cancer treatment 25 (33.8)
• Patient satisfaction 13 (17.5)
• Increased knowledge 8 (10.8)
• Access to psychosocial, palliative and supportive care 3 (4)
• Access to genetic counselling 3 (4)

Sixty-seven studies (90.5%) were quantitative, 4 (5.4%) were qualitative (4649) and 3 (4.1%) were mixed methods (5052). Among the quantitative studies, 13 (19.4%) were randomized controlled trials (RCTs) (5365), 15 (22.4%) were quasi-experimental controlled or pretest and/or post-test single group studies (6680), and 39 (58.2%) were observational including natural experiments, and retrospective and/or prospective analyses of service data.

Sample sizes were above 100 participants for most studies, ranging from 3 to 190,284 participants, with the largest samples registered in retrospective studies. In most studies, participants were 50 years and older (Table 2).

TABLE 2.

Summary of included studies.

Author/Date Country Aim/objective Settings Cancer type Sample characteristics
Arnold et al.
2022
Australia To provide gynaecological oncology consultations Community-based Gynecologic oncology clinic Gynecologic Sample size: 53
Age: 21–84 years
Rural and remote women
Azizoddin et al.
2020
United States To improve screening for cancer‐related distress and access to supportive care Oncology Clinic Mixed Sample size: 253
Age: 33–99
Veterans who were mostly African American and males of low SES
Baker et al.
2014
United States To determine whether a multifaceted intervention increases adherence to annual FOBT for CRC screening compared with usual care Community health centres Colorectal Sample size: 450
Age: 51–75 years
Latino; low income and uninsured
Balata et al.
2019
United Kingdom To ascertain the views of participants of a mobile CT scan Convenient community retail locations in deprived areas Lung Sample size: 938
Age: 55–74 years
Low-income
Battaglia et al.
2019
United States To address socio-legal barriers for patients with cancer Community health centres and outpatient practices Mixed Sample size: 306
Age: >18 years
Low SES, racialized
Centra et al.
2023
United States To improve access to high-quality CRC screenings and reduce barriers to test completion Federally Qualified Health Centre Colorectal Sample size: 20
Age: 50–75 years
Low SES: unhoused, marginally housed, or recent refugees
Champion et al.
2023
United States To assess the comparative effectiveness of (1) a mailed, tailored digital video disc (DVD) intervention; (2) a DVD intervention plus telephone patient navigation (DVD/PN); and (3) usual care with simultaneously increased adherence to any breast, cervical, and CRC screening Rural community Mixed Sample size: 963
Age: 50–74 years
Women in rural communities
Charlton et al.
2014
United States To determine if FIT mailed to asymptomatic, average-risk patients overdue for screening resulted in higher screening rates versus mailing educational materials alone or no intervention Veterans administration Medical centre Mixed Sample size: 1,999
Age: 51–64 years
Rural
Curtis et al.
2018
United States To analyze a satellite chemotherapy infusion centre Community- and hospital- based Mixed Sample size: 3
Age: Not reported
Rural
Davis, et al.
2020
United States To evaluate the effectiveness of two approaches to a health literacy intervention to improve annual CRC screening: automated telephone call or personal call Rural community health clinics Colorectal Sample size: 568
Age: ≥50 years
Rural
Denizard-Thompson et al.
2020
United States To determine the impact of a Mobile Patient Technology for Health- CRC on receipt of CRC screening within 24 weeks Community-based primary care practices Colorectal Sample size: 450
Age: 50–74 years
Low SES: Rural, African American, Low income, Low literacy
Drake et al.
2022
United States To develop outreach and education, quality improvement and research, and training strategies to lessen the burden of cancer disparities Cancer centre and community organizations Breast Sample size: 8,292
Age: ≥21 years
Socioeconomically deprived, racial minority women
Dumont et al.
2021
United States To implement and evaluate a population health approach to preventive care in correctional setting Correctional facility Colorectal Sample size: > 2,700
Age: 50 years or ≥45 years for Blacks
Racialized, incarcerated People
Eberth et al.
2018
United States To provide access to colonoscopy screening at no cost Medical clinics, and hospitals Colorectal Sample size: 1,854
Age: 50–64 years
Uninsured, or live at or below 150% poverty line
Falk et al.
2023
United States To educate women about the need for breast and cervical cancer screenings and to offer navigation services to reduce financial and other barriers to Pap tests and mammograms Community-based Mixed Sample size: 1,181
Age: 18–39 years
Rural
Fang et al.
2017
United States To increase awareness of cervical cancer risk and address both individual-level beliefs and healthcare access barriers Korean churches Cervical Sample size: 977
Age: ≥21 years
Korean women
Fennell et al.
2017
Australia To describe a consumer-led development of a website that provides rural-specific information on psychosocial care and examine its acceptability to users Virtual, with no specific setting Mixed Sample size: 32,389
Age: Not reported
Rural
Foley et al.
2023
Australia To shift care from the tertiary cancer centre to local services for rural people with head and neck surgery Rural clinics Head and neck Sample size: 5
Age: Not reported
Rural
Freund et al.
2013
United States To investigate the efficacy of patient navigation in reducing delays in resolving abnormal cancer screening tests and initiating cancer treatment Community-based Mixed Sample size: 10,521
Age: ≥18 years
Low-income, uninsured or publicly insured, and racial minority
Galiatsatos et al.
2021
United States To examine the utility of a tobacco treatment clinic that provides lung cancer screening, for minority populations Tobacco treatment clinic at a medical centre Lung Sample size: 92
Age: ≥50 years
Racialized, low SES
Gunness et al.
2023
United States To analyze the impact of single breast reconstruction service and inform consumers and providers of the importance of a breast reconstruction unit embedded in a rural health network Breast reconstruction service in a rural health network Breast Sample size: 64
Age: Not reported
Rural women
Hall et al.
2019
Australia To trial and evaluate a compression garment service that provides care for patients with lymphoedema closer to their homes Rural and remote health services Skin Sample size: 69
Age: ≥16 years
Rural and remote
Hendren et al.
2014
United States To assess an intervention to increase cancer screening among patients An inner-city large family practice Mixed Sample size: 366
Age: 40–74 years
Low-income and uninsured patients
Hitt et al.
2016
United States To review the accessibility to care and its impact of a tele-colposcopy Hospital Cervical Sample size: 940
Age: 17–62 years
Rural women
Holle et al.
2020
United States To assess the use of community pharmacist as the primary healthcare team member to facilitate CRC risk counseling and screening Pharmacies in hospitals, large physician practice, or within the community Colorectal Sample size: 60
Age: ≥50 years or African Americans aged ≥45 years
Low SES, racialized
Hoskins et al.
2018
United States To test the feasibility of implementing the US Preventive Services Task Force’s recommendation for universal cancer genetic risk assessment by primary care physicians Community clinics Mixed Sample size: 112
Age: 25–69 years
Underserved African American women
Humer et al.
2017
Canada To use telemedicine, through Virtual Thoracic Surgical Clinics, to provide service to remote patients Community-based Thoracic Sample size: 15,073
Age: Not reported
Rural and remote
Johnson et al.
2021
United States To evaluate differences in time from breast cancer diagnosis to treatment for women enrolled in a Women’s Health Check program Cancer Data Registry Breast Sample size: 231
Age: 50–64 years
Low-income, uninsured and underinsured women
Khalil et al.
2020
United States To determine the rates of breast cancer screening at a student-run free clinic and compare them to national averages Academic health centre Breast Sample size: 194
Age: ≥40 years
Uninsured women
Kim et al.
2020
United States To improve CRC screening uptake Community-based Colorectal Sample size: 3,610
Age: Based on US CRC eligibility guidelines
Diverse underserved urban patient population
Kiser et al.
2020
United States To have 75% of the women who sought care at the study clinic during the 60-day project period receive Pap test eligibility screening Federally qualified health centre Cervical Sample size: 6,900
Age: 21–65 years
Uninsured and underserved women
Lane et al.
2015
United States To provide breast cancer screening and education Community-based Breast Sample size: 2,394
Age: ≥50 years
Rural
Lara et al
2018
United States To assess changes in CRC screening uptake and the cost-effectiveness of implementing multiple evidence-based interventions Hospital-based Colorectal Sample size: 8,277
Age: Not reported
Underserved adults
Lee-Lin et al.
2013
United States To assess the feasibility and acceptability of a targeted educational intervention to increase mammography screening Chinese community partner agencies Breast Sample size: 44
Age: ≥40 years
Chinese American immigrant women
Le et al.
2022
United States To develop and implement a community-based lung cancer screening program, including telephone-based navigation and tobacco cessation counseling support Communities in rural and medically underserved counties Lung Sample size: 488
Age: 55–77 years
Low-income, uninsured or underinsured patients
Limaye et al.
2022
United Kingdom To ensure >95% of male patients over the age of 65 or those at high risk of developing prostate cancer have had a prostate-specific antigen test; or have been referred if abnormal Community-based
GP Practice
Prostate Sample size: 220
Age: ≥65 years
Males
Li et al.
2019
United States To increase the breast cancer screening rate of Hispanic women Hospital District Breast Sample size: 30
Age: ≥30 years
Lofters et al.
2017
Canada To increase awareness of cancer susceptibility and the benefits of screening for breast and cervical cancer Black-focused Community Health Centre Mixed Sample size: 30
Age: 40–69 years
Black women
Luckett et al.
2015
United States To assess the effect of Patient Navigator Program on no-show rates at an academic referral colposcopy Clinic Specialty clinic within the Gynecologic Oncology Department at Brigham and Women’s Hospital Cervical Sample size: 4,199
Age: 33 years average
Women: Low SES, history of abuse racialized
Manning et al.
2023
United States To assess the effects of a racially-targeted messaging intervention to increase uptake of at-home FIT kits for CRC screening Community-based Colorectal Sample size: 1,157
Age: 45–80 years
African American
Mayfield-Johnson et al.
2016
United States To increase the breast cancer screening rate for African American women Community-based Breast Sample size: 500
Age: ≥40–64 years
African American women
Menon et al.
2020
United States To test the effectiveness of a community-to-clinic navigator intervention to guide individuals into primary care clinics to complete CRC screening Community-based Colorectal Sample size: 419
Age: ≥50 years
Multicultural and underinsured
Mette et al.
2016
United States To provide cancer genetic risk assessment and counseling through telemedicine to the remote population Community-based Mixed Sample size: 119
Age: ≥20 years
Low SES: rural, uninsured or underinsured
Molokwu et al.
2023
United States To determine the effectiveness of a multilevel, multicomponent community-based breast cancer screening intervention Community-based: Two clinics and 59 communities Breast Sample size: 600
Age: 50–75 years
Hispanic Women
Niranjan et al.
2023
United States To assess lung cancer screening knowledge before and after receiving education delivered by community health advisors Community-based Lung Sample size: 100
Age: 50–80 years
Rural, poor, unemployed
Nnorom et al.
2021
Canada To improve cancer screening for Blacks and immigrants Black-focused Community Health Centre Mixed Sample size: 708
Age: Not reported
Black and immigrant population
Offman et al.
2014
United Kingdom To remind underserved women to attend breast cancer screening via telephone Community-based Breast Sample size: 10,928
Age: 50–70 years
High deprivation and ethnic diverse women
Patel et al.
2023
United States To decrease the average number of treatment day delays during the first six cycles of oral cancer Medical centre Mixed Sample size: 53
Age: 29–88 years
Low SES and racialized women
Peppercorn et al.
2017
United States To evaluate the elimination of cost sharing as a natural experiment Rural clinics Breast Sample size: 45,738
Age: 40–64 years
Rural women
Percac-Lima et al.
2014
United States To evaluate the impact of a CRC screening patient navigation program on improving equity in CRC screening Primary care practice Colorectal Size: 3,115
Age: 61.5 years average
Low-income, Latino and immigrant population
Pye et al.
2023
Australia To explore experiences of rural cancer patients who were receiving treatments by remote video-assisted chemotherapy Community-based Mixed Sample size: 7
Age: 39–71 years
Rural
Rajan et al.
2015
United States To address socioeconomic disparities in breast and cervical cancer screening and survival Cancer Registry Mixed Sample Size: 190,284
Age: 40–64 years
Underserved women
Ramirez et al.
2014
United States To apply a patient navigation model to women with an abnormal mammogram to determine its effectiveness in reducing time from abnormal breast examination findings to definitive diagnosis, and to evaluate its effect on time from definitive diagnosis to initiation of treatment Community-based Breast Sample size: 480
Age: ≥18 years
Latino women
Richman et al.
2020
United States To provide culturally tailored breast cancer education and navigation to age-appropriate screening services Community-based Breast Sample size: 735
Age: 20–84 years
Uninsured and underinsured Black and Latina women
Sabesan et al.
2014
Australia To provide cancer care closer to home in a timely and equitable manner for rural patients Cancer centre Mixed Sample size: 60
Age: Not reported
Rural
Sabesan et al.
2018
Australia To overcome barriers and establish equitable access to safe and quality chemotherapy services locally in rural towns Hospital and rural satellite sites Mixed Sample size: 62
Age: Not reported
Rural
Sanchez-Birkhead et al.
2016
United States To address the needs of Hispanic women faced with a cancer diagnosis or cancer survivorship issues Community-based Breast Sample size: >8,000
Age: 30–70 years
Hispanic women
Schroeder et al.
2021
United States To assess oral cancer knowledge and provide oral cancer screening and education Community-based Oral Sample size: 236
Age: ≥18 years
Rural
Solomons et al.
2018
United States To examine knowledge and emotional outcomes and attitudes/beliefs regarding cancer tele-genetic service Medical Centre Cancer Risk and Prevention Clinic Mixed Sample size: 174
Age: Not reported
Rural
Swayze et al.
2021
United States To provide access to gynecologic oncology care to ovarian cancer patients in small cities and rural communities Gynecologic oncology office Ovarian Sample size: 381
Age: ≥18 years
Rural
Thai et al.
2022
United States To shift the attention from increasing initial mammography rates to improving appropriate follow-up after an abnormal mammogram Community-based Breast Sample Size: 96
Age: 62 years average
Vietnamese-American Women
Thota et al.
2020
United States To care for patients in rural communities to improve access to healthcare, decrease financial burdens, and save time Rural communities Mixed Sample size: 119
Age: Not reported
Rural
Tracy et al.
2013
United States To examine how visiting consultant clinics in rural communities affected estimated average travel times for rural residents Community clinics Mixed Sample size: 18
Age: Not reported
Rural
Tsai et al.
2014
United States To improve access to primary healthcare for various populations Nurse-managed health centres Breast Size: 577
Age: ≥18 years
Racialized and low SES women
Tsapatsaris and Reichman
2021
United States To evaluate whether, with access to free screening services, uninsured minority women are able to successfully manage existing barriers to breast cancer screening Community-based Breast Sample size: 3,745
Age: Not reported
Low-income uninsured minority women
van den Bruele et al. 2022 United States To provide a free screening service to women in need Community-based Breast Sample size: 32,350
Age: 40–79 years
Underserved women
Vilchis et al.
2019
United States To assess the detailed cancer navigation needs of patients and their families in an underserved target area Medical centre or cancer treatment centre Mixed Sample Size: 128
Age: ≥18 years
Rural
Wagoner et al.
2023
Canada To support exercise-oncology implementation in rural and remote communities across Canada Virtual, with no specific setting Mixed Sample size: 290
Age: ≥18 years
Rural
Wakefield et al.
2023
United Kingdom To describe the development of a new innovative long-term palliative care unit Hospice Mixed Sample size: 199
Age: ≥24 years
Socio-economically deprived
Watanabe et al.
2013
Canada To assess the feasibility of using videoconferencing to provide specialist multidisciplinary palliative care and palliative radiotherapy consultation to cancer patients in rural areas Cancer centre Mixed Sample size: 44
Age: 20–88 years
Rural
Watson et al.
2016
Canada To improve rural Albertans’ access to navigation supports Ambulatory care-community Mixed Sample size: 81
Age: Not reported
Rural
Williams MS et al.
2022
United States To provide uninsured, underserved women with access to a free mammogram, a Pap test and pelvic exam, and/or an oral cancer exam Medical Centre Cancer Centre and Research Institute Mixed Sample size: 103
Age: 21–69years
Low SES women
Williams MA et al.2022 United States To help guide patients with the goal of improving care coordination, psychosocial care, patient education, and healthcare usage Comprehensive cancer Centre Mixed Sample size: 54
Age: Not reported
Rural, low SES, racialized
Wilson-Anderson et al. 2013 United States To provide breast health education Community-based faith-based groups and women’s social organizations Breast Sample size: 130
Age: 11–73
Mostly African American

CRC, colorectal cancer; FIT, fecal immunochemical test; FOBT, fecal occult blood testing; GP, general practitioner; SES, socioeconomic status.

Most studies were community-based (74.3%) while others took place in cancer centres and hospitals (47, 71, 75, 8192), hospice (93), correctional service (70), and with no specific setting identified (51, 67) (Tables 1, 2).

Access to cancer care was the primary outcome in most studies, but 8.1% of included studies reported access as a secondary outcome (73, 74, 76, 82, 94, 95) Measures of access included access to cancer screening (screening rates, no show rates, appointment rates); access to cancer treatment (time from diagnosis to treatment initiation, adherence to treatment and follow ups, proportion of patients accessing cancer treatment or supportive care); out-of-pocket and time savings; and travel distance to cancer care services. Knowledge and patient satisfaction were reported as secondary outcomes. Supplementary Table 1 provides an overview of study outcomes by intervention category and individual studies.

Characteristics of underserved populations

The most common underserved groups targeted by included studies were rural populations and people experiencing socioeconomic deprivation. Other studies were focused on Blacks and African Americans (65, 73, 9597), Latino/Hispanics (52, 69, 79, 98), Asian women including Chinese (72) Vietnamese (99), and Korean women (100), underserved women (82, 101, 102), underserved men (103), veterans (54, 81), incarcerated people (70) and uninsured patients (92, 104, 105) (Tables 1, 3). In many cases, study populations had mixed characteristics such as low income and racialized background.

TABLE 3.

Quality appraisal of quantitative studies a .

Author and date Selection bias Study design Confounders Blinding Data collection methods Withdrawals and drop-outs Global rating
Arnold et al. 2022 Strong Moderate Weak Moderate Strong Moderate Moderate
Azizoddin et al. 2020 Moderate Moderate Weak Weak Strong Weak Weak
Baker et al. 2014 Strong Strong Strong Moderate Moderate Strong Strong
Balata et al. 2019 Moderate Moderate Strong Moderate Moderate Strong Strong
Battaglia et al. 2019 Moderate Moderate Strong Moderate Moderate Strong Strong
Centra et al. 2023 Moderate Moderate Strong Moderate Strong Weak Moderate
Champion et al. 2023 Strong Strong Strong Moderate Moderate Strong Strong
Charlton et al. 2014 Strong Strong Strong Strong Moderate Weak Moderate
Davis et al. 2020 Strong Strong Strong Moderate Moderate Moderate Strong
Denizard-Thompson et al. 2020 Moderate Strong Strong Moderate Strong Moderate Strong
Drake et al. 2022 Strong Moderate Strong Moderate Strong Moderate Strong
Dumont et al. 2021 Moderate Moderate Weak Moderate Weak Moderate Weak
Eberth et al. 2018 Strong Moderate Strong Moderate Strong Weak Moderate
Falk et al. 2023 Moderate Moderate Strong Moderate Weak Strong Moderate
Fang et al. 2017 Strong Strong Strong Moderate Strong Strong Strong
Fennell et al. 2017 Moderate Moderate Weak Moderate Moderate Moderate Moderate
Freund et al. 2013 Strong Strong Strong Strong Moderate Strong Strong
Galiatsatos et al. 2021 Moderate Moderate Strong Moderate Weak Strong Moderate
Gunness et al. 2023 Moderate Moderate Weak Moderate Strong Moderate Moderate
Hall et al. 2019 Moderate Weak Weak Moderate Weak Weak Weak
Hendren et al. 2014 Moderate Strong Strong Strong Strong Weak Moderate
Hitt et al. 2016 Weak Moderate Weak Strong Weak Weak Weak
Holle et al. 2020 Weak Moderate Strong Moderate Weak Strong Weak
Hoskins et al. 2018 Moderate Moderate Moderate Moderate Weak Strong Moderate
Humer et al. 2017 Moderate Weak Weak Moderate Weak Weak Weak
Johnson et al. 2021 Moderate Moderate Strong Moderate Strong Moderate Strong
Khalil et al. 2020 Moderate Moderate Strong Moderate Weak Weak Weak
Kim et al. 2020 Moderate Moderate Strong Moderate Weak Weak Weak
Kiser et al. 2020 Moderate Moderate Weak Moderate Moderate Strong Moderate
Lane et al. 2015 Moderate Moderate Weak Moderate Weak Weak Weak
Lara et al. 2018 Weak Moderate Weak Moderate Weak Weak Weak
Lee-Lin et al. 2013 Moderate Moderate Strong Strong Strong Strong Strong
Le et al. 2022 Moderate Moderate Strong Moderate Weak Strong Moderate
Limaye et al. 2022 Moderate Moderate Weak Moderate Weak Strong Weak
Li et al. 2019 Weak Moderate Strong Moderate Moderate Weak Weak
Lofters et al. 2017 Moderate Moderate Weak Moderate Weak Strong Weak
Luckett et al. 2015 Strong Moderate Strong Strong Moderate Moderate Strong
Manning et al. 2023 Strong Strong Strong Moderate Strong Moderate Strong
Mayfield-Johnson et al. 2016 Weak Moderate Weak Moderate Weak Strong Weak
Menon et al. 2020 Weak Moderate Moderate Moderate Moderate Moderate Moderate
Mette et al. 2016 Weak Moderate Moderate Moderate Moderate Weak Weak
Molokwu et al. 2023 Moderate Moderate Strong Moderate Strong Strong Strong
Niranjan et al. 2023 Moderate Moderate Strong Moderate Strong Strong Strong
Nnorom et al. 2021 Moderate Moderate Weak Moderate Strong Weak Weak
Offman et al. 2014 Weak Moderate Strong Moderate Weak Weak Weak
Patel et al. 2023 Weak Moderate Strong Moderate Weak Weak Weak
Peppercorn et al. 2017 Moderate Strong Weak Moderate Moderate Weak Weak
Percac-Lima et al. 2014 Moderate Strong Weak Moderate Strong Weak Weak
Rajan et al. 2015 Strong Moderate Strong Moderate Weak Strong Moderate
Ramirez et al. 2014 Moderate Strong Strong Moderate Moderate Strong Strong
Richman et al. 2020 Moderate Moderate Strong Moderate Weak Strong Moderate
Sabesan et al. 2014 Moderate Weak Moderate Moderate Weak Weak Weak
Sabesan et al. 2018 Moderate Weak Strong Moderate Weak Strong Weak
Sanchez-Birkhead et al. 2016 Strong Moderate Strong Moderate Strong Strong Strong
Schroeder et al. 2021 Strong Moderate Strong Moderate Strong Strong Strong
Solomons et al. 2018 Moderate Moderate Strong Moderate Moderate Moderate Strong
Swayze et al. 2021 Strong Moderate Strong Moderate Moderate Strong Strong
Thai et al. 2022 Moderate Moderate Strong Moderate Strong Strong Strong
Thota et al. 2020 Weak Moderate Weak Moderate Weak Weak Weak
Tracy et al. 2013 Moderate Moderate Weak Moderate Strong Weak Weak
Tsai et al. 2014 Moderate Moderate Moderate Moderate Moderate Strong Strong
Tsapatsaris and Reichman 2021 Weak Moderate Weak Moderate Weak Moderate Weak
van den Bruele et al. 2022 Strong Moderate Strong Moderate Strong Strong Strong
Vilchis et al. 2019 Strong Moderate Strong Moderate Strong Strong Strong
Wagoner et al. 2023 Moderate Weak Weak Moderate Weak Strong Weak
Wakefield et al. 2023 Moderate Weak Weak Moderate Weak Strong Weak
Watanabe et al. 2013 Moderate Moderate Weak Moderate Moderate Moderate Moderate
Williams MS et al. 2022 Moderate Weak Weak Moderate Weak Weak Weak
Williams MA et al. 2022 Moderate Moderate Weak Moderate Moderate Weak Weak
Wilson-Anderson et al. 2013 Strong Moderate Weak Weak Moderate Weak Weak
a

Quality appraisal tool: Effective Public Healthcare Panacea Project. Quality Assessment Tool for Quantitative Studies. 2023; https://www.ephpp.ca/quality-assessment-tool-for-quantitative-studies/.

Types of cancers

The majority of included studies either included people with any type of cancer (mixed) or were focused on breast (69, 72, 75, 79, 80, 87, 95, 97, 98, 99, 101, 104, 106111), cervical (86, 88, 100, 102) , and colorectal cancers (5355, 58, 60, 61, 65, 70, 76, 77, 78, 105), or a combination of these three cancers (62, 64, 73, 82, 112). The rest of the studies were focused on lung (56, 68, 74, 113, 114) thoracic (115), ovarian (116), skin (59), oral (71), head and neck (48), and prostate cancers (103) (Tables 1, 2).

Targeted stage across the cancer care continuum

Cancer screening was the stage of focus for most studies, with a few focusing on genetic counselling (66, 94, 96), psychosocial and supportive care (51, 75, 81), survivorship care (98), and palliative care (85, 93). There were 15 studies that aimed to improve access to cancer treatments specifically with respect to: treatment initiation (57, 89), post acute care (48), chemotherapy and medical oncology (46, 47, 84, 117), thoracic surgery (115), gynaecologic oncology (50, 116), exercise oncology (67), treatment adherence and toxicity management (99), lymphedema management (59), breast reconstruction (108), and oral cancer care (71) Supplementary Table 1.

Quality of included studies

Among the quantitative studies, 24 were appraised to have an overall strong quality, 16 were of moderate quality and 27 of weak quality (Table 3). The study designs used in most studies were of strong to moderate quality, and included participants who were representative of the target populations. Some methodological limitations found were the poor reporting of numbers and reason for dropouts (77, 105, 108, 118), lack of information about reliability and validity of data collection tools, (71, 104, 113) and poor reporting about control of confounders (67, 82, 93). Regarding the qualitative studies, two studies met all the quality criteria (46, 48, 49) one met 8/9 criteria, while one did not meet the majority of the quality criteria (47) (Table 4).

TABLE 4.

Quality appraisal of qualitative studiesa.

Measure Curtis et al. Foley et al. Pye et al. Watson et al.
Clear statement of research aims Y Y Y Y
Appropriateness of qualitative methodology Y Y Y Y
Appropriateness of research design N Y Y Y
Appropriateness of recruitment strategy N Y Y Y
Appropriateness of data collection strategy N Y Y Y
Consideration of the relationship between researcher and participants N Y Y Can’t tell
Ethical considerations addressed N Y Y Y
Sufficiently rigorous data analysis N Y Y Y
Clear statement of findings Y Y Y Y

aQuality appraisal tool: Critical Appraisal Skills Programme. CASP Qualitative Studies Checklist. 2018; https://casp-uk.net/images/checklist/documents/CASP-Qualitative-Studies-Checklist/CASP-Qualitative-Checklist-2018_fillable_form.pdf.

Interventions to improve access to cancer care

We found seven main types of interventions that were used to mitigate barriers in access to cancer care experienced by underserved populations. These included lack of knowledge and health literacy, health system navigation issues, financial constraints, language and cultural barriers, and distance to cancer services. These tailored interventions included patient navigation, education and counselling, virtual health, service-redesign, financial support, improving geographical accessibility and multicomponent interventions. These are described below.

Core features of interventions

Salient characteristics of interventions included: 1) Most interventions/programs used a combination of languages and offered translation services to enhance communication and understanding. The most common languages used were English, Spanish, and French; 2) Participant recruitment was via community organizations, churches, local bulletin boards, community centres, health fairs, community events, food banks and social medial platforms, using flyers and leaflets which sometimes featured racialized groups (60, 72, 73, 91, 119); 3) There was a predominant use of the community health approach to program development and delivery with significant involvement of community health workers and peers for education and navigation (80, 98); 4) Several interventions and programs included reminder phone calls, mailed letters, and electronic medical record alerts, setting reminders to both patients and clinicians, invitations to patients overdue for screening and/or those who did not attend their appointments as well as to request fecal immunochemical test (FIT) patient samples (61, 64, 65, 7880, 98, 100, 103, 119); 5) Most programs were delivered to participants at no charge or low cost (79, 80, 98, 100, 114); 6) Some studies included all participants who met the inclusion criteria irrespective of legal/immigration status, arranged travel services and/or offered food at no cost, (98, 114, 119) and employed racialized healthcare staff for program delivery (119). The majority of interventions were in publicly funded healthcare settings regardless of country.

Patient navigation

Eleven studies reported use of navigation to assist underserved women to obtain a mammogram and navigate the health system when an abnormal finding was detected (52, 69, 75, 99), assist women who self-identified as having barriers to care to navigate the health system after receiving an abnormal cervical cancer screening result (88), assist patients to obtain colorectal cancer screening (55, 58), and help patients following cancer diagnosis to gain access to care (56, 57, 29). Navigators were either nurses (75), people with high school diploma (57, 69), or patients who had received training through national and local navigation programs. These interventions/programs employed bilingual navigators or translators and were designed to be culturally sensitive, especially when serving specific racialized groups like Latinos/as and Spanish speaking individuals (52, 58, 69, 89) and Vietnamese American women (99). Study findings suggested that patients were generally satisfied with navigators and services provided (52, 56, 75, 89, 99). They reported that navigation increased the rate of mammography and colorectal cancer screening (52, 55, 58), had a positive impact on the communication between patients, navigators and healthcare providers (58, 69, 88, 89, 99) decreased time from diagnosis to treatment (92, 57, 69, 89), and resulted in decreased numbers of missed appointments (88, 99). Notwithstanding, cultural beliefs about breast cancer and difficulties with reaching patients by phone for initial navigation appointments and follow-ups were identified as barriers in the navigation process (57, 58, 88).

Education and counselling

Education and counselling interventions were reported in 7 studies. They were used to increase awareness and therefore uptake of breast, cervical and oral cancer screening services for Chinese American (72), African American (95), Black women (73), and people experiencing precarious socioeconomic conditions or those who were uninsured (74, 91). Delivery was either by healthcare providers (91, 120) community health educators, faith-based group leaders, or women’s social organizations (73, 74). These interventions/programs were designed to be flexible, supportive, culturally appropriate and interactive (91, 120, 72, 73, 95). These characteristics were reflected in the availability of pre-booking and/or walk-ins options, onsite screening services, onsite childcare services, transportation cost (72, 73, 91), posters, flyers and videos with culturally appropriate philosophy, content, graphics and language (72, 73), and the provision of opportunities for questions, discussions and hands on demonstration of skills (72, 73, 91, 95). In order to enhance participant’s learning, teaching resources were developed at a low reading level, such as grade 5 (120) and teaching was done in the first language of participants (72). The effectiveness of education and counselling was assessed through retrospective program data (7274, 95, 120) and pre- and post-intervention mammogram completion questionnaires (72, 74, 91, 95). Studies reported: increase in participants’ cancer awareness and cancer screening for various types of cancer (73, 91), increase in mammography screening rates (72, 73, 95) and feasibility, acceptability and satisfaction with educational programs (73, 91).

Virtual health interventions/programs

Virtual health interventions were reported in 14 studies and generally targeted rural populations to improve access to specialized care. Mobile phone applications were used to assist patients to self-order screening tests and receive follow-up messages (53) and to send cancer screening reminders (107), while video conferencing employed interactions for genetic counselling (66, 94), specialized cancer care provision (86, 115, 118), chemotherapy supervision (46, 83, 84), exercise-oncology (67), and palliative care (85). They were used to reach as many as 6–63 remote sites (83, 84, 115), 193–254 km away (46, 118).

Video conferencing strategies involved collaboration and supervision between specialised staff in cancer centres and primary healthcare professionals. For example, there were reports of rural generalist nurses administering chemotherapy and biologic therapy agents under the direct supervision of chemotherapy nurses from larger primary centres, using a telenursing platform (46, 83, 84). The uptake of virtual health tools was enhanced by sending messages to patients to remind them of screening schedules (107), sending prescriptions electronically to remote sites or via mail directly to the patient (83, 84), enhancing competencies of remote site staff (67, 84), and providing outreach clinics for patients to see their oncologist in-person (46, 115).

These interventions were assessed using data from retrospective chart reviews (83, 84, 115), and surveys (50, 53, 66). Key outcomes were increased access to cancer care (86, 115), with patients seen and managed locally, within 24 h of referral (83) and patient satisfaction (50, 66, 85, 94). There were significant improvements in screening uptake and adherence (53, 94) and reduction in travel time and cost of care (66, 67, 86, 115). One study reported that patients saved up to 4 h and 40 min on average, 534 km round trip and about $333,074 from lost wages and mileage reimbursement (118). There were also reports of feelings of independence from patients as they received care in their hometown which reduced their reliance on family, friends and government services for transportation (51).

Service redesign

Service redesign was reported in 10 studies, and entailed modifying or creating innovative healthcare service delivery models to address workforce and geographical accessibility issues. Redesign served to accommodate the cancer care needs of underserved populations, especially in primary healthcare settings. Supervision, education and government support were vital to service redesign (59, 96). Services were redesigned in three main ways: developing capacity of primary healthcare staff to provide specialized services (59, 101), embedding specialized professional or services into primary healthcare packages (71, 76, 93, 96, 108, 113, 116, 117) and developing intersectoral or interdisciplinary collaborations to facilitate care provision (70). Some examples were a nurse-managed health centre that provided breast health services (101), a long-term palliative care unit designed as a hybrid between a hospice and a nursing home (93), and developing a cross-agency collaboration between public health and corrections to provide annual colorectal cancer screening service in a state prison using FIT (70).

Successful service redesign was dependent on capacity building for primary healthcare providers and provision of financial resources by government (59, 96). These services were mainly evaluated via retrospective analyses of routinely gathered data (93, 96, 101, 116, 117). Some reported outcomes were: significant improvement in overall survival and access to care (116, 70, 113, 59, 108), reduction in driving time to medical oncology care, from 51.6 to 19.2 min, with the use of visiting consultant clinics (117), and reduction in treatment delays and increased adherence to treatment and toxicity management (71).

Financial support

This strategy involved no-cost access to cancer services for people living in poverty or uninsured. They included elimination of copayment, coinsurance, and deductible fees for screening mammography for all women 40 years or older (92, 106), providing free colonoscopy screening to uninsured, asymptomatic patients aged 50–64 years and living below the poverty line (92, 105), and developing a student-run free clinic to provide breast cancer screening opportunities for uninsured patients (104).

These were evaluated using retrospective analyses of service data by either assessing uptake during the intervention period or by comparing trends in screening before and after intervention for periods ranging from 1 to 13 years. Reported outcomes were significant increase in mammography screening rates (106), with 84% of intervention group participants having a mammography post intervention (104), significant increase in colorectal cancer screening, with 79% of participants completing a colonoscopy (105), increased access to timely treatment and improved survival for breast cancer patients (82, 92).

Reducing geographical barriers

Four studies were specifically aimed at reducing geographical barriers to cancer care in three ways: mobile services, satellite services, and mailouts. Satellite services were designed to provide a similar quality of service as would be found at the main centre (47), while mailouts provided free postal services with paid self-addressed envelopes for return of samples as well as assistance, across the continuum for patients with a positive test (54). Some examples of these interventions were: a mobile, no-cost breast cancer screening program that provided a free screening service to medically underserved women (109); a satellite chemotherapy infusion centre in rural communities where visiting oncology nurse practitioners and/or oncologists from a large urban cancer centre offered chemotherapy services to rural communities (47), and a mailout service where a FIT was mailed to asymptomatic, average-risk veterans overdue for colorectal screening (54). Nurses played a key role in the delivery of the interventions (68, 109). This included performing symptom assessment (68), clinical breast exam (109), and offering chemotherapy services (47).

Intervention evaluation data were collected using questionnaires administered to both patients (54, 68) and healthcare providers (47) or retrospective program data (109). They evaluated participants’ uptake of screening services post intervention (54, 109) and influence of geographical location on screening and screening adherence (68). Studies reported up to 90% screening rates (54) and adherence to screening (68) and participants’ satisfaction with services.

Multicomponent interventions/programs

Twenty-two studies reported use of a combination of the six categories described above to improve access to cancer care. This ranged from a combination of 2–4 interventions, with education, navigation and financial support being core components of most multicomponent interventions/programs. An example included using a combination of education, financial and geographical accessibility strategies where members of the healthcare team were educated on colorectal cancer screening and ways to improve access, patients had assistance obtaining insurance approvals, and patients who were homebound or unhoused were supplied test kits via a mobile unit (77).

These interventions reported increased access to screening mammography (64, 80, 121), with more than 90% of study participants undertaking screening post intervention (79, 97) and increased access to colorectal cancer screening (60, 61, 65, 77), cervical cancer screening (100, 102) and screening for other types of cancers (103, 114). There were also reports of increased access to psychosocial care, (81) survivorship (98), and patient satisfaction (48).

Interventions in Canada

Three main interventions were employed by the 6 Canadian studies: virtual health, education and navigation. They were designed specifically for rural populations and Blacks and conducted in Alberta (49, 85), Ontario (73, 119) and British Columbia (115). One study used multiple sites in Alberta, Nova Scotia, and Ontario (67). Virtual health interventions were used to provide palliative care consults (85) and thoracic surgical care (115) to rural and remote patients, and videoconferencing was employed to deliver an exercise oncology program (67). These interventions were found to reduce travel distance and cost and expand access to specialized care for many rural and remote patients as well as improve patient satisfaction. Educational interventions (73), also used in combination with virtual health (119), focused on increasing awareness about breast, cervical and colorectal cancer screening among Blacks and immigrant populations. These studies reported significant increase in cancer screening participation for eligible patients as well as increased awareness of cancer susceptibility and screening guidelines, and improvements in screening self-efficacy. In Alberta, a province-wide standard navigation program was designed for rural Albertans (49). Participants reported a positive impact on their experiences of cancer care, and that accessing a navigator made a difference (49). There was a decrease in visits to the emergency rooms or hospital admissions for cancer-related symptoms, improvements in continuity of care, patient’s ability to access cancer information and meaningful support as well as improved satisfaction with care.

Discussion

This review explored interventions and programs to improve access to cancer care in underserved populations in high income countries with UHC and the US. Most studies were published between 2018 and 2023 and conducted in the US. Interventions targeted specific access barriers resulting from geographical distance, finances, culture and language, knowledge and health literacy, and health system navigation. Most studies were conducted in community-based settings and recruited participants from faith- and community-based organizations. Participants included underserved women or men, rural populations, and people experiencing low socioeconomic status, incarceration, or multiple social disadvantages. Over two-thirds of interventions and programs focused on access to cancer screening and diagnosis.

Our findings suggest tailored interventions or programs can improve access to cancer care in underserved populations, especially at the screening and diagnosis stage. However, interventions to improve access to cancer treatment, survivorship and palliative/end-of-life care with underserved populations are needed. Most interventions or programs integrated supports to mitigate language, financial, cultural, and geographical barriers. Addressing barriers that prevent underserved populations from timely accessing cancer care is an essential consideration in the delivery of tailored interventions.

Our review findings suggest virtual health interventions and those reducing geographical distance can improve access to screening and diagnosis, oncology treatments (e.g., chemotherapy), supportive care, patient satisfaction as well as reduce travel distance and cost. There were 14 studies that employed virtual health while four focused on reducing geographical distance targeting rural and remote populations and people from low socioeconomic status. Telehealth was the most common intervention (videoconferencing, phone calls) while text or email messages and websites were also utilized. Positive effects of telehealth in cancer care during the COVID-19 pandemic were reported (122). Telehealth may improve access to care for head and neck cancer patients, symptom control and quality of life, and be cost-efficient (123). Findings suggest a need to consider barriers to technology adoption and improve internet access and health literacy (124126).

Interventions reducing geographical distance included mailing FIT kits, satellite centres, and mobile clinics. A study in Alberta, Canada found that individuals living further from diagnostic facilities had higher odds of no record of colorectal cancer screening (CRC) and people from rural and remote areas had higher odds of being overdue for CRC (127). The study also found that people with higher levels of material deprivation tended to have lower rates of CRC compared to those with lower material deprivation (127). Another Canadian study found that living more than 1-h driving time from a cancer centre was associated with worse overall survival and disease-free survival (128). In geographically large countries such as Canada, interventions aimed at reducing geographical distance and increasing accessibility may contribute to improve cancer outcomes in populations living farther away from cancer centres and those from low income areas.

Interventions that improve affordability of cancer care can have a significant impact on access to cancer screening and treatment. There were five studies that implemented some form of financial support by offering services at no cost, covering the cost of screening, eliminating co-payments, or by expanding Medicaid eligibility. The financial burden of cancer care includes costs related to hospital and physician services, diagnostics, medications, caregiving, employment, travel, and inability to save, among others (129). It affects all dimensions of access to healthcare and will lead underserved populations such as racialized and rural people to delay or decline care (129). In Canada, provincial disparities in public coverage of take-home cancer drugs exist with patient co-payments nearing 20% (130). These out-of-pocket expenses can negatively affect patient’s cancer care decisions and access (130). With over two-thirds of Canadians disclosing financial distress when facing a cancer diagnosis, the need for financial distress mitigation interventions as well as federal and provincial policies is urgent (131).

There were 12 studies that reported patient navigation to improve access to screening and diagnosis, treatment, and patient satisfaction in rural, racialized, uninsured, or low socioeconomic status populations. Navigation interventions in this review incorporated education and counselling, coordination of care, addressing barriers to care, psychosocial care, and financial navigation. The majority of studies showed significant improvements in care outcomes such as access to screening and reduced times from diagnosis to treatment. Patient navigators can play a significant role in the cancer care of patients by improving access to care, patient experience, and care coordination (132). Patient navigators in Canada were described as agents of change who improved patients’ health literacy, built partnerships with agencies to address care inequities, built trust with underserved communities and patient’s trust in the healthcare system (133). The success that patient navigation has shown in improving access to cancer care (36), highlights the key role they can play in improving cancer care outcomes in underserved groups.

Education and service redesign interventions had significant impacts on access to screening, cancer treatment and palliative care, and patient satisfaction in racialized, rural, or people from low socioeconomic status. There were seven studies that reported educational interventions and 10 studies focused on service redesign. Education was provided in the language best understood by participants and used sociocultural adapted resources. Education can be an excellent strategy to increase cancer and cancer service awareness among racialized and immigrant populations (134, 135). Service redesign interventions resulted in cost savings and shorter travel distances. The reorganization of oncology multidisciplinary teams resulted in improved access to and quality of care for lung cancer patients in the United Kingdom (136). A lung cancer service redesign initiative in Australia had impacts on the proportion of new referrals seen within 14 days by specialists and documentation of patients presented at multidisciplinary meetings (137). Studies to evaluate the impact of service redesign on access to cancer care are needed. Considering the rapid growth of immigrant populations in Canada and other countries, promoting access to screening and early cancer diagnoses through education and service redesign may contribute to improve cancer care outcomes.

We identified 22 multi-component interventions with education, navigation, and financial support being the most common core components. The interventions identified in this review showed positive effects on access to cancer screening, psychosocial care, survivorship care, and patient satisfaction. Complex health interventions involve multiple components and are designed to address complex health challenges (138, 139). Our review findings suggest multi-component interventions are suitable to tackle disparities in access to cancer care. Understanding the mechanisms underlying change in complex interventions is important to inform decision makers (139). Further research is needed to understand the interactive effects of intervention components as well as those between the intervention and the context in which it takes place.

The contributions of underserved populations as study participants in included studies reflects their interest in participating in initiatives to improve access to cancer care. Our findings suggest that their successful accrual can be achieved via community organizations, places of worship, and local bulletin boards, social media, flyers and leaflets. Patient navigators and translators, culturally tailored recruitment materials, and covering travel and parking costs can be effective ways of recruiting underserved populations in oncology (140, 141). Most interventions in this review were integrated within community settings. This approach has potential to improve coordination and delivery of cancer prevention, diagnostic, treatment and supportive care services for these populations (142, 143). Establishing partnerships with community members can increase participation and acceptability of interventions for racialized groups (144, 145).

The underserved populations most frequently targeted were those of low socioeconomic status, rural populations, and racialized people. In Canada, populations of low socioeconomic status experience significant cancer disparities (13, 21). In contrast, our review yielded no Canadian studies focused on this population group. This finding may reflect a gap in collecting and reporting study population sociodemographic characteristics. We identified four Canadian studies focusing on rural and remote populations that employed education (73), telehealth (67, 85) or navigation (49) to improve access to prevention and screening services, surgery, rehabilitation, and palliative care. Although evidence is limited, this research can inform the design of services for this population group. Lastly, review findings suggest a need for further research to improve access to cancer care among racialized communities. Although there are calls to improve access to cancer care for underserved populations in Canada (37), review findings suggest minimal Canadian evidence in this area.

Review findings point to the need to increase health equity research in access to cancer care in Canada. The US had the largest number of articles. This likely reflects research funding to address cancer disparities as well as requirements to include underrepresented populations in research. We acknowledge that different healthcare systems might influence the applicability of findings to Canada. This calls for national, provincial, and intersectoral efforts to determine priorities in access to cancer care for underserved populations, advocate before government stakeholders, funding bodies and influence the Canadian research agenda in cancer care.

Implications

Review findings can inform research, practice and education in the area of access to cancer care for underserved populations in Canada and Alberta. There is a need to accelerate health equity research in cancer care to a) generate evidence of barriers in access to cancer care and determine the magnitude of inequities in cancer care; and b) design, implement and evaluate interventions to improve access to cancer care. There is a need to increase cancer-related health equity research funding to achieve these goals. While this review highlights gaps, research questions to address those gaps need to be informed by affected patients, families, and communities as well as those who provide treatment and care. Engagement of these stakeholders supports integration of research and clinical practice and has potential to accelerate the research to outcome/impact pathway. Involvement of clinical and operational teams in research design and execution is likely to increase uptake of research findings in the cancer care realm. Similarly, research is likely to have greater impact if we engage patients, families, and community members throughout the research cycle.

Clinical practice implications include identifying services and programs currently in place that support underserved populations. Incorporating strategies such as education, service redesign, virtual health, navigation, and the provision of financial, transportation, cultural, and language supports may increase awareness of as well as access to cancer care services. Review findings also show the need to incorporate health equity knowledge in the curricula of health professions, increase both health equity and cultural competency of healthcare professionals, and advance knowledge of educational models to work with underserved populations. The work of critical educator Paulo Freire can inform initiatives aimed at fostering social transformation, empowerment, emancipation, and critical awareness of conditions leading to inequities in access to cancer care (146).

Limitations

We limited our search to the last 10 years and only included articles published in the English language. Although this period likely reflects time where the majority of studies were published, we may have missed important works published prior to the review period. We also focused on countries with healthcare systems similar to the Canadian universal healthcare system with the exception of the United States. Our exclusion criteria may have resulted in leaving out studies in other countries reporting health equity interventions directed at our populations of interest. Underserved populations comprise a large and diverse group. Our review focused on selected underserved groups. Studies yielding evidence concerning other underserved groups may exist. Estimating the effectiveness of included interventions and their comparative impacts was beyond the scope of this review. We are confident that the breath and recent nature of the studies included provide a current and comprehensive list of interventions tailored to address specific barriers in access to cancer care. This knowledge may inform cancer system stakeholders in the design of programs to support underserved populations facing specific obstacles in access to cancer care such as distance, lack of cancer awareness and health literacy, language and cultural barriers, financial constraints, or health system navigation challenges.

Conclusion

This systematic review yielded evidence of a wide range of interventions and programs to improve access to cancer care for underserved populations. Utilizing diverse strategies to reach underserved populations and increase intervention uptake is necessary. Review findings suggest these interventions can have a significant impact on patient experiences, satisfaction, and cancer outcomes. Although the majority of interventions were conducted in the US, there is potential to incorporate knowledge from those studies into the Alberta and Canadian cancer care systems. The interventions and programs identified in this review reveal a collective and committed effort to tackle cancer inequities. This is a critical step towards achieving equity in cancer care.

Acknowledgments

We thank the Alberta Health Services Strategic Clinical Network for the funding support. We thank research program coordinator Dr. Harkeert Judge for her helpful assistance with quality appraisal of qualitative studies.

Funding Statement

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This study was funded by the Alberta Health Services Cancer Strategic Clinical Network (Grant No RES0063552). This funding support did not influence the development of the study concept, designing the research, collecting and analysing the data, or writing the manuscript.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.

Author contributions

AS: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing–original draft, Writing–review and editing. NB: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing–original draft, Writing–review and editing. AP: Conceptualization, Investigation, Resources, Validation, Visualization, Writing–review and editing. PR: Conceptualization, Investigation, Resources, Validation, Visualization, Writing–review and editing. JB: Data curation, Formal Analysis, Investigation, Validation, Visualization, Writing–review and editing. II: Data curation, Formal Analysis, Investigation, Validation, Visualization, Writing–review and editing. MK: Conceptualization, Data curation, Investigation, Methodology, Resources, Writing–original draft, Writing–review and editing.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/or.2024.1427441/full#supplementary-material

Table1.pdf (316.3KB, pdf)
Datasheet1.pdf (67.5KB, pdf)

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Table1.pdf (316.3KB, pdf)
Datasheet1.pdf (67.5KB, pdf)

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.


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