Most patients in this study reported that financial, social, and logistical support would help them attend their appointments for cancer care and treatment. Further multidisciplinary interventions should be evaluated to address social and economic determinants in cancer care for this population.
Abstract
Purpose:
This study investigates the impact of a multilingual, multidisciplinary team targeting social and economic determinants of cancer treatment adherence among at-risk Hispanic immigrants.
Methods:
Patients were recruited at 10 hospital-based cancer clinics in New York City between December 2008 and November 2009. This is a nested cohort study of Hispanic patients and their sociodemographic characteristics, areas of needed assistance, and reported impact of meeting service needs on keeping appointments. At the core of the intervention is the trained, bilingual Portal Access Facilitator, who assesses needs and synchronizes an individualized set of transdisciplinary services for each patient.
Results:
A total of 328 Hispanic patients participated in the study. Of these, 89% preferred to speak Spanish in the health care setting, and 17% had no health insurance. The most common cancer diagnosis among participants was breast cancer (35%) followed by GI (17%) and gynecologic (16%) cancers. Patients most commonly requested financial support (59%), food support (37%), transportation assistance (21%), social work services (14%), psychosocial support (6%), help with health insurance issues (5%), and legal services (5%). In a follow-up assessment of high-need patients in urgent need of financial support, 86% reported that portal services helped them attend cancer care and treatment appointments, and 72% reported that portal services decreased worry about their care.
Conclusion:
Most patients reported that financial, social, and logistical support would help them attend their appointments for cancer care and treatment. Further multidisciplinary interventions should be implemented and evaluated to address social and economic determinants in cancer care for this population.
Introduction
In 2007, there were 37.9 million immigrants in the United States—12.6% of the total population.1 New York City (NYC) is home to the largest foreign-born population with more than 2.9 million people.2 Among the foreign-born in both the United States and NYC, Hispanics constitute the largest percentage (53.8% and 51.7%, respectively).1,3
Hispanics are at socioeconomic risk for poor cancer outcomes. In 2008, Hispanics in NYC had the lowest median household incomes and the highest poverty rates (27%) compared with all other racial/ethnic groups.4 Twenty-six percent of Hispanics in NYC speak no English or speak English poorly.4 Hispanic households are more likely to be food insecure,5 which is associated with delayed care seeking and increased hospitalizations and emergency department use.6
Hispanics have low survival rates for most cancers, even after adjusting for age and stage.7 In addition, lower rates of adjuvant therapy and treatment adherence, as well as early treatment termination, have been described in minorities.8–19 Socioeconomic barriers to cancer treatment adherence include lack of insurance, treatment and medication costs, lack of child care and transportation, limited employment, and poor nutrition and housing.8 Immigrants may also experience more limited social support and language and legal barriers.20 Guidry et al21 found that Hispanics faced significant cost-related barriers to medications, diagnostic tests, and hospitalizations and were more likely to pay out-of-pocket. Inadequate adherence to radiotherapy in immigrant Latinas with cervical cancer resulted from transportation and child care barriers, concern about losing jobs, and lack of disease and treatment understanding.9 Ell et al22 found that a navigation intervention to improve adjuvant treatment adherence among low-income, predominantly Hispanic women in California had no significant impact.
Several models have been developed to incorporate social and economic determinants in health care and to create a more integrated, multidisciplinary approach. These models include the Disease Management,23 Integrated Care,24 Collaborative Care,25 and Chronic Care Models.26 The importance these models have for cancer control has been recognized by New York State in its Comprehensive Cancer Control Plan.27
This Cancer Portal Project study addresses the paucity of research on interventions that target socioeconomic determinants related to cancer treatment adherence. It uses a multilingual multidisciplinary team to specifically target a broad range of social and economic determinants related to cancer treatment adherence and quality of life.
Methods
The Cancer Portal Project enrolled patients at 10 hospital-based cancer clinics in NYC with large numbers of low-income patients. Most patients at these sites prefer to communicate in languages other than English—most often Spanish. This is a nested cohort study of Hispanic Portal patients, their areas of needed assistance, and the reported impact of meeting service needs. The project received New York University institutional review board exemption.
At the core of the intervention is the trained, bilingual Portal Service Access Facilitator who assesses needs and synchronizes an individualized set of transdisciplinary services. The Portal Project employs three full-time and three part-time Portal Service Access Facilitators whose salaries are funded through a New York Community Trust grant. The annual cost per full-time Portal Service Access Facilitator is approximately $30,000-$45,000. Each Portal Service Access Facilitator visits his/her assigned clinic at least once a week for either the morning or afternoon session and is available at all times by cell phone and for as needed visits. Newly hired Portal Service Access Facilitators participate in an initial week-long didactic training session led by the Project Coordinator. They then undergo a two-week practicum during which they shadow experienced Portal Service Access Facilitators. When they start working independently, Portal Service Access Facilitators meet weekly as a team and one-on-one at the end of each day with the Project Coordinator to review all cases and to discuss issues or concerns. Ongoing, monthly continuing education training sessions are held to update the team on service, program, and portal project protocol changes, and to discuss questions and ideas that might better assist patients. Portal Service Access Facilitators coordinate with social workers as much as possible, although interactions vary by site. Only two of 10 sites have bilingual social workers; five of 10 sites have monolingual social workers who often ask Portal Service Access Facilitators to provide or arrange for interpretation; and the remaining three sites do not have social workers.
Portal Service Access Facilitators are trained in a wide range of areas, including assessing needs/advising patients on available assistance and cancer support organizations; providing assistance with intake procedures to patients with low literacy and limited English proficiency; assisting patients with financial support, such as helping patients obtain reimbursements and funding for doctor's visits, chemotherapy, radiation therapy, scans, medical supplies, pain and nausea medications, and home care; addressing food insecurity; assisting patients with transportation; assisting patients with referrals to social services, counseling, and cancer support groups; assisting patients with insurance and with obtaining fee reductions; accessing free or low-cost legal resources for immigration, health care proxies, wills, powers of attorney, permanency planning for children, eviction, and work discrimination concerns; assisting with housing conditions and rent support; accessing child care for appointments; accessing programs that provide free medications; accessing interpreters; and helping patients improve patient-provider communication.
Participants, Study Procedure, and Measures
Patients were recruited between December 2008 and November 2009. Eligible patients included all adults with a cancer diagnosis undergoing treatment at any of the 10 sites. Portal Service Access Facilitators approached all patients in the waiting room before provider visits. Portal Service Access Facilitators administered an intake needs assessment survey in the patient's preferred language. The survey included sociodemographic data, missed appointment reports, and needs for assistance vis-à-vis financial support, food and nutrition, transportation assistance, social and psychosocial services, health insurance issues, legal issues, and child care. Once patient needs were identified, Portal Service Access Facilitators provided immediate and ongoing assistance in the identified areas. Transportation needs were addressed, for example, by Portal Service Access Facilitators through the social worker at the patient's facility or by Portal Service Access Facilitators directly making Access-a-Ride appointments or arranging ambulette services for qualifying patients (both of these services provide pickup and drop-off for patient appointments). Transportation assistance specifically for patient radiation therapy appointments is also available through grant funding for this project in the form of passes for public transportation or cash assistance for taxi fare for sicker patients.
A follow-up assessment was administered to 50 Spanish-speaking patients who were initially identified as probable high-need patients as a result of their urgent need for financial support and who then remained in active contact with Portal Service Access Facilitators for at least 3 months. Portal Service Access Facilitators provided immediate assistance for these patients to help them apply for available financial and transportation support programs. Two weeks after completing the intake needs assessment survey, these patients were called to determine whether they had received letters of acknowledgment for their applications to financial and transportation support programs. Typically, these patients sought contact with Portal Service Access Facilitators two to three times per week for at least 3 months. For those who did not seek such frequent contact, Portal Service Access Facilitators initiated follow-up at least every 2 weeks.
The follow-up assessment queried patients about additional service needs; whether portal services helped them attend oncology, chemotherapy, and/or radiation therapy appointments; which specific services helped them attend; and whether portal services helped them worry less about their cancer treatment and care, provided financial relief, and/or helped improve their diets.
Analysis
Descriptive analysis was performed on the Hispanic cohort to examine sociodemographic characteristics; missed appointments for oncology, radiation therapy, and chemotherapy; and areas of needed assistance. We stratified the analysis according to the most common countries of origin for the patients. Differences between groups were analyzed using tests of proportions (z-tests, Fisher's exact tests, and χ2 tests).
Cross-tabulations and tests of proportions were used to investigate sociodemographic differences between insured and uninsured patients; differences between patients with various types of insurance; and whether patients had missed any appointments.
We also performed cross-tabulations and tests of proportions to examine differences in sociodemographic characteristics and areas of needed assistance between the 50 probable high-need patients and the rest of the Hispanic cohort.
All tests were two-sided, and a P value less than .05 was considered statistically significant. Statistical analysis was performed using the R software package (R Development Core Team; Vienna, Austria). The analysis was carried out by the Biostatistics Division at the New York University School of Medicine.
Results
Sociodemographic and Cancer Characteristics, and Missed Appointments
Sixty-seven percent of all eligible patients agreed to participate, and 788 patients agreed to participate in the Cancer Portal Project between December 2008 and November 2009. Of the total 788 participants, 328 were Hispanic. Among the cohort of Hispanic patients, the largest group of patients was age 50 to 69 years (48%); 73% were female; and 21% had completed high school. The three most common countries of origin were the Dominican Republic (27%), Puerto Rico (22%), and Mexico (19%); 32% of patients immigrated from countries other than these. Thirty-seven percent had resided in the mainland United States for 10 years or fewer. In the health care setting, 89% preferred to speak Spanish. Seventeen percent had no health insurance. Of the insured, 47% had fee-for-service Medicaid plans, 26% had Medicaid plans for emergency care, 9% had HMO-Medicaid plans, and 10% had Medicare plans. Six percent of patients were working with social workers (Table 1).
Table 1.
Characteristic | Hispanic Cohort (n = 328) |
Patients From the DR (n = 90) |
Patients From PR (n = 72) |
Patients From Mexico (n = 62) |
Patients From Other Countries (n = 104) |
|||||
---|---|---|---|---|---|---|---|---|---|---|
No. of Patients | % | No. of Patients | % | No. of Patients | % | No. of Patients | % | No. of Patients | % | |
Age, years* | ||||||||||
18-29 | 19 | 6 | 3 | 3 | 1 | 1 | 8 | 13 | 7 | 7 |
30-49 | 105 | 32 | 26 | 29 | 8 | 11 | 36 | 58 | 35 | 34 |
50-69 | 157 | 48 | 52 | 58 | 45 | 63 | 16 | 26 | 44 | 42 |
70-79 | 34 | 10 | 4 | 4 | 13 | 18 | 2 | 3 | 15 | 14 |
> 80 | 11 | 3 | 4 | 4 | 5 | 7 | 0 | 0 | 2 | 2 |
Missing | 2 | < 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 |
Sex | ||||||||||
Male | 90 | 27 | 21 | 23 | 25 | 35 | 14 | 23 | 30 | 29 |
Female | 238 | 73 | 69 | 77 | 47 | 65 | 48 | 77 | 74 | 71 |
Education level | ||||||||||
≤ 5th grade | 64 | 20 | 21 | 23 | 11 | 15 | 16 | 26 | 16 | 15 |
6th grade - some high school | 187 | 57 | 47 | 52 | 43 | 60 | 39 | 63 | 58 | 56 |
High school graduate | 57 | 17 | 17 | 19 | 17 | 24 | 6 | 10 | 18 | 17 |
Some college - postgraduate | 13 | 4 | 4 | 4 | 0 | 0 | 1 | 1 | 8 | 8 |
Missing | 6 | 2 | 1 | 1 | 1 | 1 | 0 | 0 | 4 | 4 |
Country of origin | ||||||||||
Argentina | 1 | < 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Bolivia | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 |
Chile | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 3 |
Colombia | 8 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 8 |
Dominican Republic | 90 | 27 | 90 | 100 | 0 | 0 | 0 | 0 | 0 | 0 |
Cuba | 1 | < 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Ecuador | 38 | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 37 |
El Salvador | 12 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 12 |
Guatemala | 7 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 7 |
Honduras | 11 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 11 |
Mexico | 62 | 19 | 0 | 0 | 0 | 0 | 62 | 100 | 0 | 0 |
Puerto Rico | 72 | 22 | 0 | 0 | 72 | 100 | 0 | 0 | 0 | 0 |
Panama | 5 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 |
Peru | 15 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 14 |
Venezuela | 1 | < 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Time in United States, years* | ||||||||||
0-1 | 27 | 8 | 4 | 4 | 9 | 13 | 3 | 5 | 11 | 11 |
1-3 | 32 | 10 | 14 | 16 | 0 | 0 | 8 | 13 | 10 | 10 |
4-5 | 16 | 5 | 4 | 4 | 1 | 1 | 3 | 5 | 8 | 8 |
6-10 | 47 | 14 | 13 | 14 | 1 | 1 | 10 | 16 | 23 | 21 |
11-20 | 92 | 28 | 28 | 31 | 5 | 7 | 30 | 48 | 29 | 28 |
> 20 | 114 | 35 | 27 | 30 | 56 | 78 | 8 | 13 | 23 | 22 |
Language preferred* | ||||||||||
English | 13 | 4 | 1 | 1 | 6 | 8 | 1 | 2 | 5 | 5 |
Engish/Spanish | 24 | 7 | 4 | 4 | 14 | 19 | 0 | 0 | 6 | 6 |
Spanish | 291 | 89 | 85 | 94 | 52 | 72 | 61 | 98 | 93 | 89 |
Insured* | ||||||||||
Yes | 269 | 82 | 80 | 89 | 70 | 97 | 39 | 63 | 80 | 77 |
No | 57 | 17 | 9 | 10 | 1 | 1 | 23 | 37 | 24 | 23 |
Don't know | 1 | < 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
Missing | 1 | < 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 |
Type of insurance if insured | ||||||||||
Medicaid | 127 | 47 | 49 | 61 | 46 | 66 | 9 | 23 | 23 | 29 |
Medicare | 27 | 10 | 6 | 8 | 15 | 21 | 0 | 0 | 6 | 8 |
Private Insurance | 16 | 6 | 5 | 6 | 4 | 6 | 0 | 0 | 7 | 9 |
HMO-Medicaid | 24 | 9 | 5 | 6 | 4 | 6 | 6 | 15 | 9 | 11 |
Emergency Medicaid | 71 | 26 | 15 | 19 | 0 | 0 | 24 | 62 | 32 | 40 |
Missing | 4 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 3 | 4 |
Working with a social worker | ||||||||||
Yes | 21 | 6 | 4 | 4 | 5 | 6 | 3 | 5 | 9 | 9 |
No | 304 | 92 | 83 | 92 | 67 | 94 | 59 | 95 | 95 | 91 |
Don't know | 2 | 1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
Missing | 1 | < 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
Abbreviations: DR, Dominican Republic; PR, Puerto Rico; HMO, health maintenance organization.
Significant differences between patients from the DR, PR, Mexico, and other countries, excluding “Don't know” and “Missing” values; P < .001.
There were significant differences in sociodemographic characteristics between the three largest migrant groups and those who immigrated from other countries (excluding “Don't know” and “Missing” values; Table 1) in age, length of stay in the United States, language, and insurance status.
The most common cancer diagnoses were breast cancer (35%), GI (17%) cancer, and gynecologic cancer (16%). Twenty-seven patients (8%) reported that they had missed appointments for oncology follow-up, radiation therapy, and/or chemotherapy. Reasons for missing appointments before participation in the Cancer Portal Project included: no money for visit or for transportation, no insurance, work, illness, family problems, lack of child care, confusion about date and time of appointment, lost documents, and fear. There were no significant differences in missed appointments between patients from Mexico, the Dominican Republic, Puerto Rico, and other countries of origin (Table 2).
Table 2.
Cancer Diagnosis, Missed Appointments, Areas of Assistance | Hispanic Cohort (n = 328) |
Patients From the DR (n = 90) |
Patients From PR (n = 72) |
Patients From Mexico (n = 62) |
Patients From Other Countries (n = 104) |
|||||
---|---|---|---|---|---|---|---|---|---|---|
No. of Patients | % | No. of Patients | % | No. of Patients | % | No. of Patients | % | No. of Patients | % | |
Type of cancer diagnosed | ||||||||||
Breast | 114 | 35 | 42 | 47 | 25 | 35 | 14 | 23 | 33 | 32 |
GI | 57 | 17 | 15 | 17 | 14 | 19 | 9 | 15 | 19 | 18 |
Gynecologic | 52 | 16 | 11 | 12 | 5 | 7 | 19 | 31 | 17 | 16 |
Head and neck | 7 | 2 | 2 | 2 | 4 | 6 | 1 | 2 | 0 | 0 |
Lung | 14 | 4 | 2 | 2 | 8 | 11 | 1 | 2 | 3 | 3 |
Prostate | 21 | 6 | 6 | 7 | 7 | 10 | 1 | 2 | 7 | 7 |
Leukemia | 19 | 6 | 5 | 6 | 1 | 1 | 7 | 11 | 6 | 6 |
Lymphoma | 18 | 5 | 4 | 4 | 2 | 3 | 5 | 8 | 7 | 7 |
Other | 25 | 8 | 3 | 3 | 5 | 7 | 5 | 8 | 12 | 12 |
Unknown | 1 | < 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 |
Missed any appointments | ||||||||||
Yes | 27 | 8 | 10 | 11 | 4 | 6 | 5 | 8 | 8 | 8 |
No | 299 | 91 | 79 | 88 | 68 | 94 | 57 | 92 | 95 | 91 |
Missing | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 |
Areas of needed assistance* | ||||||||||
Financial support | 192 | 59 | 52 | 58 | 42 | 58 | 35 | 56 | 63 | 61 |
Food support | 120 | 37 | 31 | 34 | 21 | 29 | 29 | 47 | 39 | 38 |
Transportation | 68 | 21 | 12 | 13 | 16 | 22 | 10 | 16 | 30 | 29 |
Social work services | 47 | 14 | 14 | 16 | 9 | 13 | 9 | 15 | 15 | 14 |
Psychosocial support | 20 | 6 | 3 | 3 | 7 | 10 | 1 | 2 | 9 | 9 |
Health insurance issues | 18 | 5 | 3 | 3 | 0 | 0 | 6 | 10 | 9 | 9 |
Legal services† | 18 | 5 | 5 | 6 | 0 | 0 | 1 | 2 | 12 | 12 |
Housing conditions | 5 | 2 | 2 | 2 | 1 | 1 | 1 | 2 | 1 | 1 |
Rent support | 7 | 2 | 3 | 3 | 1 | 1 | 2 | 3 | 1 | 1 |
Child care | 4 | 1 | 1 | 1 | 0 | 0 | 1 | 2 | 2 | 2 |
Accessing programs for free medications | 4 | 1 | 0 | 0 | 1 | 1 | 1 | 2 | 2 | 2 |
Appointment scheduling | 4 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 2 | 2 |
Help with disability forms | 1 | < 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
Assistance with utility bills | 1 | < 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
Finding a job | 1 | < 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Refused | 8 | 2 | 2 | 2 | 6 | 8 | 0 | 0 | 0 | 0 |
Abbreviations: DR, Dominican Republic; PR, Puerto Rico.
No. of responses is greater than the total n for each group as participants were asked to answer all that apply.
Legal services included assistance with immigration status, health care proxies, wills, powers of attorney, and permanency planning for children.
Areas of Needed Assistance Identified Upon Enrollment
Patients needed financial, social, and logistical assistance. Most commonly, they requested financial support (59%), food support (37%), transportation assistance (21%), social work services (14%), psychosocial support (6%), health insurance assistance (5%), and legal services (5%). Portal Service Access Facilitators enabled assistance in the requested areas. There were no significant differences between participants from Mexico, the Dominican Republic, Puerto Rico, and other countries of origin in the four most commonly requested areas (financial support, food support, transportation assistance, and social work services; Table 2).
High-Need Patients and Follow-Up Results
All 50 high-need patients who were in frequent contact with Portal Service Access Facilitators for at least 3 months completed the follow-up assessment. Sociodemographic characteristics of high-need patients versus the rest of the Hispanic cohort are listed in Table 3.
Table 3.
Characteristic | Hispanic Cohort (n = 278) |
High-Need Patients (n = 50) |
||
---|---|---|---|---|
No. of Patients | % | No. of Patients | % | |
Age, years* | ||||
18-29 | 12 | 4 | 7 | 14 |
30-49 | 81 | 29 | 24 | 48 |
50-69 | 141 | 51 | 16 | 32 |
70-79 | 31 | 11 | 3 | 6 |
≥ 80 | 11 | 4 | 0 | 0 |
Missing | 2 | 1 | 0 | 0 |
Sex | ||||
Male | 73 | 26 | 17 | 34 |
Female | 205 | 74 | 33 | 66 |
Education level | ||||
≤ 5th grade | 56 | 20 | 8 | 16 |
6th grade - some high school | 155 | 56 | 32 | 64 |
High school graduate | 48 | 17 | 10 | 20 |
Some college - postgraduate | 13 | 5 | 0 | 0 |
Missing | 6 | 2 | 0 | 0 |
Country of origin | ||||
Argentina | 1 | < 1 | 0 | 0 |
Bolivia | 2 | < 1 | 0 | 0 |
Chile | 3 | 1 | 0 | 0 |
Colombia | 5 | 2 | 3 | 6 |
Dominican Republic | 77 | 28 | 13 | 26 |
Cuba | 1 | < 1 | 0 | 0 |
Ecuador | 32 | 12 | 6 | 12 |
El Salvador | 11 | 4 | 1 | 2 |
Guatemala | 5 | 2 | 2 | 4 |
Honduras | 9 | 3 | 2 | 4 |
Mexico | 47 | 18 | 15 | 30 |
Puerto Rico | 67 | 24 | 5 | 10 |
Panama | 4 | 1 | 1 | 2 |
Peru | 13 | 5 | 2 | 4 |
Venezuela | 1 | < 1 | 0 | 0 |
Time in United States, years* | ||||
0-1 | 20 | 7 | 7 | 14 |
1-3 | 26 | 10 | 6 | 12 |
4-5 | 11 | 4 | 5 | 10 |
6-10 | 43 | 15 | 4 | 8 |
11-20 | 71 | 25 | 21 | 42 |
> 20 | 107 | 39 | 7 | 14 |
Language preferred | ||||
English | 10 | 4 | 3 | 6 |
English/Spanish | 23 | 8 | 1 | 2 |
Spanish | 245 | 88 | 46 | 92 |
Insured* | ||||
Yes | 234 | 84 | 35 | 70 |
No | 42 | 15 | 15 | 30 |
Don't know | 1 | < 1 | 0 | 0 |
Missing | 1 | < 1 | 0 | 0 |
Type of insurance if insured* | ||||
Medicaid | 121 | 52 | 6 | 18 |
Medicare | 25 | 11 | 2 | 6 |
Private insurance | 12 | 5 | 4 | 12 |
HMO-Medicaid | 20 | 8 | 4 | 12 |
Emergency Medicaid | 53 | 23 | 18 | 52 |
Missing | 3 | 1 | 1 | < 1 |
Working with a social worker | ||||
Yes | 19 | 7 | 2 | 4 |
No | 257 | 92 | 47 | 94 |
Don't know | 1 | < 1 | 1 | 2 |
Missing | 1 | < 1 | 0 | 0 |
Significant differences between high-need patients and the Hispanic cohort overall, excluding “Don't know” and “Missing” values; P < .05.
Compared with the rest of the Hispanic cohort (n = 278; excluding “Don't know” and “Missing” values), these 50 high-need patients were significantly younger, more were recent immigrants, were more likely to be uninsured, and among those insured, were more likely to have emergency Medicaid plans (Table 3). Analyzing participants from only the most common countries of origin (Mexico, the Dominican Republic, and Puerto Rico), high-need patients (n = 33) were more likely to have migrated from Mexico compared with the rest of the cohort (n = 191; 45% v 25%; P = .02).
At enrollment, high-need patients most commonly reported needing assistance for financial (80%), food (32%), and transportation support (22%), as well as assistance with health insurance issues (18%) and social work services (12%). In comparison with the rest of the Hispanic cohort (n = 278), high-need patients were significantly more likely to request financial support (80% v 55%; P < .01) and assistance with health insurance issues (18% v 3%; P < .001).
In the follow-up assessment, 86% (n = 43) of the high-need patients reported that portal services helped them attend appointments for follow-up care, radiation, and/or chemotherapy. Of these 43 patients, 51% responded that, without portal assistance, they would have had to miss more appointments or completely stop coming to appointments. Financial support (84%), transportation help (58%), food assistance (12%), and social work services (12%) were most frequently reported to have been useful in helping participants attend. Seventy-two percent reported that portal services relieved their worry about cancer treatment and care. Fifty-eight percent reported that portal services provided some financial relief, and 16% reported that portal services helped them to improve their diets.
Discussion
In this nested cohort of 328 Hispanic patients with cancer, most patients reported financial, social, and logistical support barriers during cancer care and treatment. Patients most commonly needed assistance in financial matters. Only 6% were working with social workers at the time of Cancer Portal Project enrollment, which suggests that patients were either not aware of, not willing, or not able (as a result of language barriers or resource scarcity) to access social work resources. There was a low rate of missed appointments (8%), which suggests benefit from portal services intervention. A larger, prospective study is needed to track patients from diagnosis through treatment and to assess their reported concerns and rates of appointment and treatment adherence.
The population of Mexican patients was more likely to have recently immigrated, to prefer to speak Spanish, to be uninsured, and among those who were insured, to have emergency Medicaid plans compared with the other two largest groups of patients from specific countries of origin in this study. We did not collect data specifically on income, although all Mexican patients met the income qualifications for Medicaid. Mexican patients also represented a greater proportion of patients in the high-need cohort compared with the patients from the other two most common countries of origin. The population of Mexican patients may be at greater risk of receiving poor-quality cancer care; further studies should explore the barriers faced by this group.
Our high-need cohort was distinct from the rest of the Hispanic cohort in sociodemographic characteristics, which suggests greater vulnerability (including more recent immigration and a lack of insurance), and in greater needs upon enrollment. We found that high-need patients were likely to respond in the affirmative to enrollment questions regarding the presence of needs related to financial, food, and transportation assistance. The majority of high-need patients responded in the follow-up survey that portal services helped them attend their appointments and helped reduce their worry and financial stress. In addition to the Cancer Portal Project's impact on appointment-keeping, the project seems to have had an important impact on quality of life.
Patients in our study, in particular those in the high-need cohort, differed from those in other similar studies. For example, in the study by Ell et al,22 which found no significant impact of navigation on improving treatment adherence among low-income Hispanic patients with breast and gynecological cancer in California, adherence rates were found to be high across both treatment groups and thought to be attributable to routine referral by the study site to federal or state breast and cervical cancer treatment funding that had been implemented before the start of recruitment. Baseline patient needs in our study, therefore, may have been higher than in the Ell et al study (they had cancers at all sites and were in high need at baseline), which may explain the potentially greater impact found in our study. However, this nested cohort study was a descriptive study, in contrast to the randomized controlled methodology of the Ell et al study, and was not designed to answer a specific research question. Further studies are needed to specifically evaluate the impact of the Cancer Portal Project.
Our study has limitations. Patients with undocumented immigration status and those who were more ill or more wary of the health care system and related ancillary services may have declined to participate. This could partially explain the refusal rate. These patients may have been in greater need of portal services and are more likely to have a higher rate of missed appointments. Alternatively, patients with fewer needs may also have refused to participate, as they had less need of its provisions. This would skew the data to indicate more service needs. In addition, the accuracy of participants' reports of treatment adherence may have been affected by the recall nature of the study.
The use of a multidisciplinary approach to address financial, social, and logistical barriers to cancer treatment in minority and underserved populations has received little attention yet may be essential in improving the current level of disparities in cancer outcomes and in improving quality of life for minority survivors of cancer. Hispanics are the largest, and most rapidly growing, immigrant group in the United States, and they are characterized by a number of poor social and economic indicators that may make them particularly vulnerable. Further multidisciplinary interventions should be implemented and evaluated to address social and economic determinants in cancer care for this population. Additionally, in this study, we identified a subgroup of patients in greater need for timely and intensive intervention. Developing both provider- and systems-level strategies to recognize and address the needs of this high-need subgroup may be of particular importance in improving outcomes for the most at-risk patients.
Acknowledgment
Supported by the New York Community Trust. The contents of this article are solely the responsibility of the authors and do not necessarily represent the views of the awarding agency.
Authors' Disclosures of Potential Conflicts of Interest
The authors indicated no potential conflicts of interest.
Author Contributions
Conception and design: Francesca Gany, Mary Lynn Nierodzik
Administrative support: Francesca Gany, Julia Ramirez, Mary Lynn Nierodzik
Collection and assembly of data: Francesca Gany, Julia Ramirez, Mary Lynn Nierodzik, Thelma McNish, Jennifer Leng
Data analysis and interpretation: Francesca Gany, Mary Lynn Nierodzik, Iryna Lobach, Jennifer Leng
Manuscript writing: Francesca Gany, Mary Lynn Nierodzik, Iryna Lobach, Jennifer Leng
Final approval of manuscript: Francesca Gany, Julia Ramirez, Mary Lynn Nierodzick, Thelma McNish, Iryna Lobach, Jennifer Leng
References
- 1.Camarota SA. Immigrants in the United States, 2007: A profile of America's foreign-born population. Center for Immigration Studies. http://www.cis.org/articles/2007/back1007.pdf.
- 2.Malone N, Baluja KF, Costanza JM, et al. The foreign-born population: 2000, 12/03 update. http://www.census.gov/prod/2003pubs/c2kbr-34.pdf.
- 3.US Census Bureau. B05006 Place of Birth for the Foreign-Born Population. http://www.nyc.gov/html/dcp/pdf/census/nyc_boros_05_06_07_place_of_birth.pdf.
- 4.Center for Latin American, Caribbean, & Latino Studies. The Latino Population of New York City, 2008. http://web.gc.cuny.edu/lastudies/latinodataprojectreports/The%20Latino%20Population%20of%20New%20York%20City%202008.pdf.
- 5.Hampton T. Food insecurity harms health, well-being of millions in the United States. JAMA. 2007;298:1851–1853. doi: 10.1001/jama.298.16.1851. [DOI] [PubMed] [Google Scholar]
- 6.Kushel MB, Gupta R, Gee L, et al. Housing instability and food insecurity as barriers to health care among low-income Americans. J Gen Intern Med. 2006;21:71–77. doi: 10.1111/j.1525-1497.2005.00278.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.American Cancer Society, Cancer Facts and Figures for Hispanics/Latinos, 2006-2008. 2006. http://www.cancer.org/acs/groups/content/@nho/documents/document/caff2006hisppwsecuredpdf.pdf.
- 8.Shavers VL, Brown ML. Racial and ethnic disparities in the receipt of cancer treatment. J Natl Cancer Inst. 2002;94:334–357. doi: 10.1093/jnci/94.5.334. [DOI] [PubMed] [Google Scholar]
- 9.Formenti SC, Meyerowitz BE, Ell K, et al. Inadequate adherence to radiotherapy in Latina immigrants with carcinoma of the cervix: Potential impact on disease free survival. Cancer. 1995;75:1135–1140. doi: 10.1002/1097-0142(19950301)75:5<1135::aid-cncr2820750513>3.0.co;2-m. [DOI] [PubMed] [Google Scholar]
- 10.Bickell NA, LePar F, Wang JJ, et al. Lost opportunities: Physicians' reasons and disparities in breast cancer treatment. J Clin Oncol. 2007;25:2516–2521. doi: 10.1200/JCO.2006.09.5539. [DOI] [PubMed] [Google Scholar]
- 11.Bickell NA, Wang JJ, Oluwole S, et al. Missed opportunities: Racial disparities in adjuvant breast cancer treatment. J Clin Oncol. 2006;24:1357–1362. doi: 10.1200/JCO.2005.04.5799. [DOI] [PubMed] [Google Scholar]
- 12.Du Xianglin L, Gor BJ. Racial disparities and trends in radiation therapy after breast-conserving surgery for early-stage breast cancer in women, 1992 to 2002. Ethn Dis. 2007;17:122–128. [PMC free article] [PubMed] [Google Scholar]
- 13.Joslyn SA. Racial differences in treatment and survival from early-stage breast carcinoma. Cancer. 2002;95:1759–1766. doi: 10.1002/cncr.10827. [DOI] [PubMed] [Google Scholar]
- 14.Li CI, Malone KE, Daling JR. Differences in breast cancer stage, treatment, and survival by race and ethnicity. Arch Intern Med. 2003;163:49–56. doi: 10.1001/archinte.163.1.49. [DOI] [PubMed] [Google Scholar]
- 15.Naeim A, Hurria A, Leake B, et al. Do age and ethnicity predict breast cancer treatment received? A cross-sectional urban population based study—Breast cancer treatment: Age and ethnicity. Crit Rev Oncol Hematol. 2006;59:234–242. doi: 10.1016/j.critrevonc.2006.03.002. [DOI] [PubMed] [Google Scholar]
- 16.Hershman D, McBride R, Jacobson JS, et al. Racial disparities in treatment and survival among women with early-stage breast cancer. J Clin Oncol. 2005;23:6639–6646. doi: 10.1200/JCO.2005.12.633. [DOI] [PubMed] [Google Scholar]
- 17.Tammemagi CM. Racial/ethnic disparities in breast and gynecologic cancer treatment and outcomes. Curr Opin Obstet Gynecol. 2007;19:31–36. doi: 10.1097/GCO.0b013e3280117cf8. [DOI] [PubMed] [Google Scholar]
- 18.Byers TE, Wolf HJ, Bauer KR, et al. The impact of socioeconomic status on survival after cancer in the United States: Findings from the National Program of Cancer Registries Patterns of Care Study. Cancer. 2008;113:582–591. doi: 10.1002/cncr.23567. [DOI] [PubMed] [Google Scholar]
- 19.Kim SH, Ferrante J, Won BR, et al. Barriers to adequate follow-up during adjuvant therapy may be important factors in the worse outcome for black women after breast cancer treatment. World J Surg Oncol. 2008;6:26–29. doi: 10.1186/1477-7819-6-26. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Ferrante JM, Chen PH, Kim S. The effect of patient navigation on time to diagnosis, anxiety, and satisfaction in urban minority women with abnormal mammograms: A randomized controlled trial. J Urban Health. 2008;85:114–124. doi: 10.1007/s11524-007-9228-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Guidry JJ, Aday LA, Zhang D, et al. Cost considerations as potential barriers to cancer treatment. Cancer Pract. 1998;6:182–187. doi: 10.1046/j.1523-5394.1998.006003182.x. [DOI] [PubMed] [Google Scholar]
- 22.Ell K, Vourlekis B, Xie B, et al. Cancer treatment adherence among low-income women with breast or gynecologic cancer: A randomized controlled trial of patient navigation. Cancer. 2009;115:4606–4615. doi: 10.1002/cncr.24500. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Wagner EH. The role of patient care teams in chronic disease management. BMJ. 2000;320:569–572. doi: 10.1136/bmj.320.7234.569. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Druss BG, Rohrbaugh RM, Levinson CM, et al. Integrated medical care for patients with serious psychiatric illness: A randomized trial. Arch Gen Psychiatry. 2001;58:861–868. doi: 10.1001/archpsyc.58.9.861. [DOI] [PubMed] [Google Scholar]
- 25.Bauer MS, McBride L, Williford WO, et al. Collaborative care for bipolar disorder: Part I—Intervention and implementation in a randomized effectiveness trial. Psychiatr Serv. 2006;57:927–936. doi: 10.1176/ps.2006.57.7.927. [DOI] [PubMed] [Google Scholar]
- 26.Barr VJ, Robinson S, Marin-Link B, et al. The expanded Chronic Care Model: An integration of concepts and strategies from population health promotion and the Chronic Care Model. Hosp Q. 2003;7:73–82. doi: 10.12927/hcq.2003.16763. [DOI] [PubMed] [Google Scholar]
- 27.New York State Department of Health and the American Cancer Society. New York comprehensive cancer control plan: Strategic directions for New York State 2003-2010. http://www.health.state.ny.us/nysdoh/cancer/cancer_control/pdf/nys_cancer_plan.pdf.