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Implementation of social needs screening for minoritized patients newly diagnosed with breast cancer: a mixed methods evaluation in a pragmatic patient navigation trial



Social needs inhibit receipt of timely medical care. Social needs screening is a vital part of comprehensive cancer care, and patient navigators are well-positioned to screen for and address social needs. This mixed methods project describes social needs screening implementation in a prospective pragmatic patient navigation intervention trial for minoritized women newly diagnosed with breast cancer.


Translating Research Into Practice (TRIP) was conducted at five cancer care sites in Boston, MA from 2018 to 2022. The patient navigation intervention protocol included completion of a social needs screening survey covering 9 domains (e.g., food, transportation) within 90 days of intake. We estimated the proportion of patients who received a social needs screening within 90 days of navigation intake. A multivariable log binomial regression model estimated the adjusted rate ratios (aRR) and 95% confidence intervals (CI) of patient socio-demographic characteristics and screening delivery. Key informant interviews with navigators (n = 8) and patients (n = 21) assessed screening acceptability and factors that facilitate and impede implementation. Using a convergent, parallel mixed methods approach, findings from each data source were integrated to interpret study results.


Patients’ (n = 588) mean age was 59 (SD = 13); 45% were non-Hispanic Black and 27% were Hispanic. Sixty-nine percent of patients in the navigators’ caseloads received social needs screening. Patients of non-Hispanic Black race/ethnicity (aRR = 1.25; 95% CI = 1.06–1.48) and those with Medicare insurance (aRR = 1.13; 95% CI = 1.04–1.23) were more likely to be screened. Screening was universally acceptable to navigators and generally acceptable to patients. Systems-based supports for improving implementation were identified.


Social needs screening was acceptable, yet with modest implementation. Continued systems-based efforts to integrate social needs screening in medical care are needed.

Peer Review reports


Despite decades of progress in breast cancer treatment, disparities in outcomes persist [1, 2]. Women diagnosed with breast cancer who are Black, Hispanic, speak a primary language other than English, and/or who have inadequate insurance experience high rates of delays in care, contributing to increased morbidity and mortality [2,3,4,5].

Unmet social needs such as housing insecurity, food insecurity and lack of transportation are barriers to timely cancer care. An estimated 20% of patients with cancer in the United States experience at least one unmet social need, with higher rates among individuals of Black race, Hispanic ethnicity and/or low socioeconomic status [6,7,8]. Calls for the integration of systematic social needs screening with appropriate follow-up into medical care in general and cancer care specifically have accelerated as a means to ameliorate barriers and improve equitable health outcomes [9,10,11,12,13].

However, systematic social needs screening remains aspirational, as it not a routine part of cancer care in most delivery sites [14]. Little research has assessed how to successfully implement social needs screening in the context of cancer care. Patient navigators are vital members of cancer care teams who are potentially well-suited to deliver social needs screenings and work with patients to address identified needs. Patient navigation is an evidence-based approach for reducing cancer-related disparities, now considered standard of care [15,16,17]. Patient navigators are typically responsible for working with patients, especially those at high risk for disparities, to identify and overcome barriers to receipt of timely, high quality cancer care [18, 19]. Thus, screening for and addressing social needs among at-risk patients is consistent with the goals and values of patient navigation.

The purpose of this study is to gain an in-depth understanding of the implementation of social needs screening by patient navigators for newly diagnosed patients with breast cancer from minoritized backgrounds in a pragmatic trial. Specifically, the aims are to quantify the percentage of eligible patients who received social needs screening and patients factors related to delivery of social needs screening and to describe the acceptability of social needs screening and factors that could improve the implementation from the patient navigator and patient perspectives.


The Translating Research Into Practice (TRIP) study

The aim of this mixed methods project was to describe social needs screening implementation in a pragmatic patient navigation intervention trial for minoritized women newly diagnosed with breast cancer. Data are from the TRIP study [20]. Briefly, TRIP used a community engaged approach, with academic partners from four Clinical and Translational Science Institutes in Massachusetts partnering with the Boston Breast Cancer Equity Coalition to address disparities in breast cancer outcomes. TRIP was a Type 1 hybrid effectiveness-implementation trial [21] that utilized a cluster-randomized, stepped wedge design [22, 23], and was conducted in five cancer care centers in Boston, MA between 2018 to 2022.

TRIP aimed to improve receipt of timely, quality breast cancer care through implementation of an integrated, evidence-based patient navigation intervention. The TRIP intervention was integrated as standard practice at the participating sites, each of which had existing breast cancer patient navigation programs [24]. The intervention entailed patient navigators using a standardized, 11-step protocol [25], which included social needs screening and referrals, and was grounded in the principles of patient navigation and care management [26]. The work of the patient navigators was supported by a project-specific shared REDCap registry that guided their caseload through each of the 11-steps. Initial training in administering the TRIP protocol involved in-person and online training in the protocol, use of the registry and use of the standardized social needs screening tools and referral platforms. Quarterly case-based navigator network meetings created a learning collaborative for navigators to share best practices in protocol implementation. In response to navigator’s request for support in asking sensitive questions, a one-hour training in principles of empathic inquiry and using patient-centered approaches to screening adapted from an existing program that integrates basic principles of motivational interviewing and trauma-informed care [27] was conducted after the project began.

Social needs screening delivery

Study design

Data were from the larger TRIP study trial, which utilized a prospective, stepped-wedge design. For this analysis, given the focus on delivery of social needs screening at a single time point, we used a cross-sectional analysis to quantify the delivery of social needs screening per study protocol, defined as completion within 90 days of intake.


To be included in the study population, women had to have a new breast cancer diagnosis between June, 2018 and August, 2021, be at least 18 years of age, and live within the Great Boston area and meet at least one of the following criteria: Black race and/or Hispanic ethnicity, speak a primary language other than English, have public insurance or be uninsured at the time of diagnosis and be part of the navigators’ caseload, as indicated by being entered into the project registry.


Social needs screening

Social needs screening was a core component of the TRIP intervention. A standardized screening tool was used at each site with a navigation protocol requiring administration at intake and three-month follow-up intervals. A study-specific tool was adapted from published web-based screening tools and platforms (i.e., Findhelp [28], THRIVE [29]. The tool assessed 9 social need domains: housing insecurity, food insecurity, transportation, paying for treatment, paying for basic utilities, employment, education, family caregiving and legal issues. hese data were prospectively entered into either the site’s Epic Electronic Health Record or the Aunt Bertha/FindHelp platform. For this paper, the intake social needs screening was assessed. The study protocol required eligible patients to receive a social needs screening within 90 days of intake. Data were abstracted from Epic or the Aunt Bertha/FindHelp platform for analysis.

Patient socio-demographic characteristics

Patient socio-demographic characteristics were obtained from each site’s Cancer Registry and electronic health record. Characteristics assessed included patient age, race/ethnicity, preferred language and insurance status as indicated at time of diagnosis.

Statistical analysis

Frequency distributions quantified delivery of a social needs screening. Bivariate analyses were conducted to assess the frequency of screening for social needs according to patient socio-demographic characteristics. Log binomial regression models were computed to estimate the rate ratio of each patient socio-demographic characteristic with delivery of social needs screening, accounting for clustering within cancer care site. Single variable models and a multivariable model which included all patient socio-demographic characteristics were computed. A two-sided p-value of < 0.05 was used as a threshold of statistical significance. Analyses were performed using SAS software version 9.4 (SAS Institute Inc., Cary, NC).

Acceptability of social needs screening by patient navigators & patients

Study design

Key informant interviews were conducted with the participating patient navigators and a sample of patients. Patient navigator interviews were conducted 27 months after the TRIP protocol was first introduced at the respective project site. Patient interviews were conducted between February and April of 2022. These one-time interviews were conducted by trained project staff over the telephone. The interviews included questions about all of the components of the TRIP intervention: This analysis focuses on the social needs screening component.


Patient navigators who participated in the interviews were individuals who were employed by the partnering cancer care centers and working on the TRIP protocol at the time of the respective interviews. All interviews were audio recorded and followed a semi-structured interview guide. Patient navigators were compensated $50. A total of eight patient navigators were eligible and eight participated. Two of the eight were nurse navigators and six were patient navigators without clinical backgrounds.

Patients who participated in the interviews: 1) were a patient during the last 6 month of study enrollment (5/1/2021–11/30/2021), 2) spoke English as their preferred language, and 3) had at least one completed social needs assessment. An opt-out letter was sent to all identified patients; patients who did not opt-out received a call from study staff one week after the mailing with up to two follow-up calls. All interviews conducted over the phone by trained study team members, were audio recorded, and followed a semi-structured interview guide. Patients were compensated $25 for their participation. A total of 21 patients were interviewed, with representation from each site.

Interview guides

Semi-structured interview guides were developed by the project team and are available in a supplementary file. The guide for patient navigators was designed to understand their experiences and perspectives related to the TRIP navigation protocol and their experiences in the project overall. Open-ended questions with prompts were designed to elicit perspectives related to administering the social needs screening to patients, with an emphasis on understanding acceptability of conducting the screening and barriers and facilitators to implementing the screening tool. [30] The guide for patients was designed to understand their experiences and perspectives related to receiving patient navigation services. Specific questions with prompts were designed to elicit perspectives related to being administered the social needs screening and any subsequent referrals or other follow-up received based on the screening, with an emphasis on acceptability and associated barriers and facilitators [30].

Qualitative analysis

The interview recordings were transcribed by Datagain. Transcripts were de-identified and reviewed against audio recordings for accuracy. Rapid qualitative analysis was used [31] to synthesize interview findings. Rapid methods are increasingly used in implementation science and have demonstrated a high degree of concordance with traditional qualitative analytic techniques. Rapid qualitative analysis is especially useful when analyzing action-oriented, time-sensitive qualitative research [31, 32]. Following a previously established approach [33, 34], TRIP team members created a template of domains based on the interview guide that was used to summarize each interview. Two lead team members summarized the first interview independently and discussed their findings to develop a summary matrix and ensure consistency and completeness. The remaining transcripts were divided among four other team members for categorizing (DA, VX, MA, TZ). Team members reviewed each other’s completed summary templates, and made refinements to the template and process as needed. The two team leads with extensive experience in qualitative research (AML, EC) served as the secondary reviewer for each transcript. The summary templates were then combined to create a matrix of responses across all interviews. From this matrix, the domains were reviewed and synthesized into resulting content areas, themes, and representative quotations. Patient navigator and patient interviews were analyzed separately. Results were then compared across interview type to determine commonalities and differences and draw overall inferences.

Mixed methods data integration

This study used a convergent parallel mixed methods approach to integrate and interpret the results across the three study sources: quantitative social screenings delivery data, patient navigator interviews and patient interviews. In this approach, data are collected concurrently, analyzed separately and given equal priority. Data are then integrated/compared to interpret study results. After analyses were completed, the data from all sources were compared and integrated. Through a series of meetings, the study team examined the relationship between the data from the three sources (quantitative, 2 qualitative sources) to create an explanatory model for the modest findings related to social needs screening delivery.


TRIP study sample

The TRIP intervention study sample included 588 women who received a navigator intake assessment. A description of the sample is presented in Table 1. One-third was aged 65 or older. Almost half of the sample (47%) were of African American or Black race and more than one-fourth (27%) were Hispanic. Almost half primarily spoke a language other than English with over 20 languages reported, and had public insurance.

Table 1 Social needs screening delivery at intake in the total patient sample and by patient socio-demographic characteristics, the TRIP study, 2018–2022 (n = 588)

Social needs screening delivery

The overall percentage of patients screened for social needs at intake and screening rates according to patient socio-demographic characteristics are presented in Table 1. Overall, 69% of patients in the navigators’ caseloads received this screening. Differences in rate of screening by site were observed, ranging from 40 to 100%. Results were similar across the bivariate and multivariable models (Table 2). In the multivariable model, patients of non-Hispanic Black race/ethnicity were more like to receive social needs screening (aRR = 1.25; 95% CI = 1.06–1.48) compared to patients who were non-Hispanic white. Patients with Medicare insurance were more likely to be screened (aRR = 1.13; 95% CI = 1.04–1.23), compared to patients with private insurance.

Table 2 Bivariate and multivariable log binomial modelsa estimating the rate ratio (RR) and 95% confidence intervals (CI) of patient socio-demographic characteristics with social needs screening delivery, the TRIP study, 2018–2022 (n = 588)

Patient navigator and patient acceptability of social needs screening

Table 3 describes acceptability-related themes and representative quotations from patient navigators and patients. Patient navigators found screening patients for social needs to be unanimously acceptable. They strongly believed in the purpose and goals of screening patients for social needs in the context of their broader cancer care. The patient navigators additionally perceived that screening for social needs aligned with their professional values and understanding of their roles as patient navigators. The navigation protocol and tools for conducting screenings were found to be acceptable and allowed for them to approach their work in a more standardized manner.

Table 3 Acceptability of social needs screening among patient navigators (n = 8) and patients (n = 21), the TRIP study, 2018–2022

Patients also generally found being screened for social needs to be acceptable. Many patients reported that they felt comfortable being screened for social needs. They additionally reported that being screened for social needs and receiving assistance to address them made them feel more supported during their cancer care. Some patients noted perceptions of stigma around being asked sensitive questions and the emotional impact they experienced in response to having social needs. However, these individuals also noted that the patient navigators were non-judgmental and supportive in their approach, which influenced their willingness to answer social needs questions.

Factors could improve social needs screening implementation

Table 4 presents barriers and facilitators to social needs screening. Four themes were identified that could improve social needs screening implementation. First, patient navigators expressed that being well-integrated into the larger cancer care team was an important facilitator of establishing relationships with patients. Several patient navigators reported that being in close physical proximity to the physicians and nurses increased these providers’ awareness of and trust in the patient navigators, which resulted in direct provider introductions of patients to the navigators. These “warm handoffs” facilitated more positive navigator-patient interactions, including patient acceptability of social needs screening.

Table 4 Identified challenges and supports needed for social needs screening by patient navigators (n = 8) and patients (n = 21), the TRIP study, 2018–2022

Second, patient navigators indicated a strong preference for first meeting and conducting intake social needs screenings with patient’s in-person, rather than over the phone. This was perceived to help establish relationships and patient comfort level with the patient navigator, which set the stage for more fruitful phone-based follow-up conversations. Third, some patient navigators reported low levels of comfort screening and more generally serving patients who spoke different languages than they did. Lastly, patient navigators described that using empathic approaches improved their self-efficacy in delivering social needs screening. Such approaches, which allow navigators to approach screening more conversationally rather than simply reading a survey, allowed navigators to connect better with patients, which was perceived to increase patient comfort level as well.


This mixed methods study examined the implementation of social needs screening among newly diagnosed breast cancer patients at high risk for poor outcomes by patient navigators in a pragmatic trial. Social needs screening was universally acceptable by patient navigators, with patients indicating a high degree of acceptability. However, despite a standardized protocol and patient navigators with effort supported to conduct this screening, patient navigators delivered systematic social needs screening to less than 70% of eligible patients. Overall, approximately seven out of ten eligible patients received an intake social needs screening. These findings mirror results of similar efforts to implement social needs screening in primary care, emergency department, and oncology settings [29, 35,36,37], with low or modest implementation despite supports to providers to conduct screenings.

Similar to other studies [38], our findings indicate that social needs screening is highly acceptable to providers. This investigation adds to the current literature by focusing on social needs screening in cancer care by patient navigators. Many cancer care sites employ patient navigators as part of the care team [24], and social needs screening is consistent with established goals and values of patient navigation [18]. In this study, navigators universally perceived that addressing patient social needs was important and consistent with their responsibilities. Furthermore, in the context of this research study, patient navigators appreciated the structure provided by the standardized screening tool and referral system.

We identified important differences in screening by patient socio-demographic characteristics. Non-Hispanic Black women had the highest likelihood of screening, compared to other race/ethnicities. Patients with Medicare were more likely to be screened, even when controlling for age. We explored the possibility that individuals with disabilities who receive Medicare, typically indicated by being under age 65, were more likely to be screened. We conducted an ad hoc exploratory analysis that included an interaction between insurance status and age < 65 and over 65) to determine if there was differential response across insurance categories for those younger than 65 compared to those 65 and over. We found no such differential response, hence indicating that higher degree of screening among those with Medicare insurance was not due to disability (indicated by younger age) status. Reasons for differences in screening by patient socio-demographic characteristics observed in this study require further investigation for potentially intervenable factors including implicit bias of the navigators about who may have social needs or which patients are comfortable with social needs inquiry.

Despite universal acceptability, site-level differences in screening rates were observed. The site with the lowest screening rate (40%) experienced navigator staffing shortages prior to [24] and on and off throughout the course of the project. Likewise, the two sites with the highest screening rates (97% and 100%) had established navigation programs that were engrained within the cancer care teams [24]. Previous studies have found that patient navigators can be pulled into other support tasks not associated with navigation [39], which was reported anecdotally by navigators in this project in the context of the COVID-19 pandemic. Research assessing the implementation of social needs screening in primary care settings shows that when systems are in place to support social needs screening, it can be implemented widely [29], and is acceptable to both providers, patients, and caregivers [40, 41]. Our findings further highlight the need for cancer care sites to invest in systems that support consistency of navigation services.

Also similar to previous studies [38], our findings indicate that social needs screening is acceptable to patients. Patients in this study acknowledged the potential stigma and emotional distress that could be associated with sharing personal information on social needs with a care provider. However, they for the most part expressed comfort being asked and sharing their personal circumstances and needs with the patient navigators, because they felt like the navigators were acting in their best interest. Non-clinical patient navigators, who share similar socio-demographic backgrounds and lived experiences to the patient populations they serve, may be particularly well-positioned to establish the requisite comfort and trust in the provider-patient relationship to increase patient acceptability, and willingness to participate in the social needs screening and referral process [42]. This would be consistent with other studies that demonstrate a positive effect on outcomes when there is race and language concordance among patients and navigators [43].

Our qualitative findings additionally highlight systems-level factors that could improve social need screening implementation. Patient navigators simultaneously noted that integration into the broader cancer care team, facilitated by physical proximity, and the ability to meet and conduct initial social needs screenings with patients onsite during a clinic visit, were important for setting the foundation of comfortable, trusting relationships with patients. Previous studies have observed the importance of integrating patient navigators into the healthcare team to achieving robust and successful patient navigation programs [44], and trust building is a core principle of patient navigation [19]. Allocation of appropriate physical space in close proximity to the larger care team has been identified as a best practice for supporting non-clinical health worker integration into care teams [45]. However, patient navigators can be physically siloed from the care team, relegated to non-clinical space or telephone only contact with patients. Presence afforded by physical proximity may help legitimize patient navigators as part of the care team.

Some navigators expressed less comfort screening patients who spoke different languages than they did and concerns about patient comfort with disclosing their needs, even though no differences in delivery of screening by patient primary language were observed. We were unable to assess patient perspectives on this, as the patient interviewers were limited to English speakers. However, a breadth of prior research indicates that language and cultural concordance are associated with more trusting patient-provider relationships [46]. Further investments on the part of health care systems to identify and employ patient navigators with the ability to speak the languages that better reflect the patients they serve may be needed to increase screening, and referrals for social needs.

Patient navigators in this study reported that the ability to approach social needs screening in a manner that was conversational and engaging was key to their comfort-level. The TRIP project incorporated training in empathic inquiry based on early feedback from the patient navigators that they were uncomfortable simply reading a checklist-based survey to patients on sensitive topics and that they felt patients were less likely to answer honestly with this type of approach. The goal is to support health professionals to deliver social needs screening in a manner that is non-judgmental, collaborative, and compassionate, and uses a conversational approach. Our qualitative findings suggest that this approach was well-received and improved navigator self-efficacy. Cancer care sites should invest in communications skills training to support patient-centered care and potentially increase the impact of their investments in patient navigation programs.

Study strengths include the diverse patient sample and the mixed methods approach. However, several limitations must be acknowledged. The study focused on social needs screening and did not assess referrals for identified needs or follow-up, which are essential to address social needs and warrant future investigation. Reasons for the observed differences in social needs screening receipt by race and ethnicity require further investigation for potentially intervenable factors. However, given the convergent parallel design, we were not able to explore these results with our qualitative methods. We also could interpret findings related to women of other race because the sample size is small and the group is very heterogenous. Generalizability is limited as the study occurred in Boston, MA, which has well-established cancer care sites that do not reflect care provision in other regions. The patient interviews were limited to individuals who speak English, so patient barriers related to linguistic equity could not be assessed.

Social needs screening is becoming a standard of care not only for cancer care but for all clinical practice. The Centers for Medicare and Medicaid (CMS) have included screening for health related social needs as one of five priority areas in their framework for achieving health equity [13]. Rules on social needs screening is already part of payment models for post-acute care, and currently 32 states require social needs screening as part of their payment models within their Medicaid program [47]. The CMS 2024 Medicare Physician Fee Schedule (PFS) Final Rule,1 approved in November 2023, now allows patient navigation services and screening for social needs to be reimbursed under new codes. With this rule in place, practices nationwide will need to address findings such as ours that impede optimization of evidence-based navigation [48]. Our findings are therefore critical and timely from a policy perspective.


This study observed high rates of acceptability of social needs screening on the part of patients and patient navigators; however, despite resources and training to achieve this health equity measure, the screening delivery rate was modest. We identify systems-level interventions that could enhance performance of social needs assessment, including integration of the navigator or other staff conducting the screening into the health care team, conducting screening during in-person encounters, employing screening with language and cultural congruity with the patient populations, and empathic training to increase efficacy in delivering social needs screening.

Availability of data and materials

The quantitative datasets used and/or analyzed during this study are available from the senior author (T. Battaglia) upon reasonable request. Qualitative datasets will not be made available because doing so violates the study’s informed consent.



Adjusted rate ratio


Confidence interval


Rate ratio


Translating Research Into Practice


  1. Siegel RL, Miller KD, Wagle NS, Jemal A. Cancer statistics, 2023. CA Cancer J Clin. 2023;73(1):17–48.

    Article  PubMed  Google Scholar 

  2. Giaquinto AN, Sung H, Miller KD, Kramer JL, Newman LA, Minihan A, et al. Breast cancer statistics, 2022. CA Cancer J Clin. 2022;72(6):524–41.

    Article  PubMed  Google Scholar 

  3. Ko NY, Hong S, Winn RA, Calip GS. Association of insurance status and racial disparities with the detection of early-stage breast cancer. JAMA Oncol. 2020;6(3):385–92.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Balazy KE, Benitez CM, Gutkin PM, Jacobson CE, von Eyben R, Horst KC. Association between primary language, a lack of mammographic screening, and later stage breast cancer presentation. Cancer. 2019;125(12):2057–65.

    Article  PubMed  Google Scholar 

  5. Bailey ZD, Krieger N, Agénor M, Graves J, Linos N, Bassett MT. Structural racism and health inequities in the USA: evidence and interventions. Lancet. 2017;389(10077):1453–63.

    Article  PubMed  Google Scholar 

  6. Raber M, Jackson A, Basen-Engquist K, Bradley C, Chambers S, Gany FM, et al. Food insecurity among people with cancer: nutritional needs as an essential component of care. J Natl Cancer Inst. 2022;114(12):1577–83.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Fan Q, Keene DE, Banegas MP, Gehlert S, Gottlieb LM, Yabroff KR, Pollack CE. Housing insecurity among patients with cancer. J Natl Cancer Inst. 2022;114(12):1584–92.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Graboyes EM, Chaiyachati KH, Sisto Gall J, Johnson W, Krishnan JA, McManus SS, et al. Addressing transportation insecurity among patients with cancer. J Natl Cancer Inst. 2022;114(12):1593–600.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Bona K, Keating NL. Addressing social determinants of health: now is the time. J Natl Cancer Inst. 2022;114(12):1561–3.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Leary JC, Rijhwani L, Bettez NM, Harrington Y, LeClair AM, Garg A, Freund KM. Parent perspectives on screening for social needs during pediatric hospitalizations. Hosp Pediatr. 2022;12(8):681–90.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Nohria R, Xiao N, Guardado R, Drainoni ML, Smith C, Nokes K, Byhoff E. Implementing health related social needs screening in an outpatient clinic. J Prim Care Community Health. 2022;13:21501319221118810.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Garg A, Toy S, Tripodis Y, Silverstein M, Freeman E. Addressing social determinants of health at well child care visits: a cluster RCT. Pediatrics. 2015;135(2):e296-304.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Centers for Medicare & Medicaid Services. [Available from:

  14. National Cancer Institute. Addressing Social Risks in Cancer Care [Available from:

  15. Nelson HD, Cantor A, Wagner J, Jungbauer R, Fu R, Kondo K, et al. Effectiveness of patient navigation to increase cancer screening in populations adversely affected by health disparities: a meta-analysis. J Gen Intern Med. 2020;35(10):3026–35.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Liu D, Schuchard H, Burston B, Yamashita T, Albert S. Interventions to reduce healthcare disparities in cancer screening among minority adults: a systematic review. J Racial Ethn Health Disparities. 2021;8(1):107–26.

    Article  PubMed  Google Scholar 

  17. Freund KM, Battaglia TA, Calhoun E, Darnell JS, Dudley DJ, Fiscella K, et al. Impact of patient navigation on timely cancer care: the Patient Navigation Research Program. J Natl Cancer Inst. 2014;106(6):dju115.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Freeman HP. The origin, evolution, and principles of patient navigation. Cancer Epidemiol Biomarkers Prev. 2012;21(10):1614–7.

    Article  PubMed  Google Scholar 

  19. Freeman HP, Rodriguez RL. History and principles of patient navigation. Cancer. 2011;117(15 Suppl):3539–42.

    PubMed  Google Scholar 

  20. Battaglia TA, Freund KM, Haas JS, Casanova N, Bak S, Cabral H, et al. Translating research into practice: Protocol for a community-engaged, stepped wedge randomized trial to reduce disparities in breast cancer treatment through a regional patient navigation collaborative. Contemp Clin Trials. 2020;93:106007.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Curran GM, Bauer M, Mittman B, Pyne JM, Stetler C. Effectiveness-implementation hybrid designs: combining elements of clinical effectiveness and implementation research to enhance public health impact. Med Care. 2012;50(3):217–26.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Hemming K, Haines TP, Chilton PJ, Girling AJ, Lilford RJ. The stepped wedge cluster randomised trial: rationale, design, analysis, and reporting. BMJ. 2015;350:h391.

    Article  CAS  PubMed  Google Scholar 

  23. Hussey MA, Hughes JP. Design and analysis of stepped wedge cluster randomized trials. Contemp Clin Trials. 2007;28(2):182–91.

    Article  PubMed  Google Scholar 

  24. LeClair AM, Battaglia TA, Casanova NL, Haas JS, Freund KM, Moy B, et al. Assessment of patient navigation programs for breast cancer patients across the city of Boston. Support Care Cancer. 2022;30(3):2435–43.

    Article  PubMed  Google Scholar 

  25. Freund KM, Haas JS, Lemon SC, Burns White K, Casanova N, Dominici LS, et al. Standardized activities for lay patient navigators in breast cancer care: Recommendations from a citywide implementation study. Cancer. 2019;125(24):4532–40.

    Article  PubMed  Google Scholar 

  26. SB; G. Principles of Health Care Management: Foundations for a Changing Health Care System: Jones and Barlett Publishers; 2011.

  27. Oregon Primary Care Association. Empathic Inquiry. Available from:

  28. Findhelp. Connected social care for healthier communities. Available from:

  29. Buitron de la Vega P, Losi S, Sprague Martinez L, Bovell-Ammon A, Garg A, James T, et al. Implementing an EHR-based screening and referral system to address social determinants of health in primary care. Med Care. 2019;57 Suppl 6 Suppl 2:S133-s9.

    Article  PubMed  Google Scholar 

  30. Proctor E, Silmere H, Raghavan R, Hovmand P, Aarons G, Bunger A, et al. Outcomes for implementation research: conceptual distinctions, measurement challenges, and research agenda. Adm Policy Ment Health. 2011;38(2):65–76.

    Article  PubMed  Google Scholar 

  31. Palinkas LA, Mendon SJ, Hamilton AB. Innovations in Mixed Methods Evaluations. Annu Rev Public Health. 2019;40:423–42.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Taylor B, Henshall C, Kenyon S, Litchfield I, Greenfield S. Can rapid approaches to qualitative analysis deliver timely, valid findings to clinical leaders? A mixed methods study comparing rapid and thematic analysis. BMJ Open. 2018;8(10):e019993.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Ryan GW, Goulding M, Borg A, Minkah P, Hermann S, Fisher L, et al. Clinician perspectives on pediatric COVID-19 vaccination: A qualitative study in central and western. Massachusetts Prev Med Rep. 2022;29:101966.

    PubMed  Google Scholar 

  34. Goulding M, Ryan GW, Minkah P, Borg A, Gonzalez M, Medina N, et al. Parental perceptions of the COVID-19 vaccine for 5- to 11-year-old children: Focus group findings from Worcester Massachusetts. Hum Vaccin Immunother. 2022;18(6):2120721.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Beavis AL, Sanneh A, Stone RL, Vitale M, Levinson K, Rositch AF, et al. Basic social resource needs screening in the gynecologic oncology clinic: a quality improvement initiative. Am J Obstet Gynecol. 2020;223(5):735.e1-.e14.

    Article  PubMed  Google Scholar 

  36. Fiori K, Patel M, Sanderson D, Parsons A, Hodgson S, Scholnick J, et al. From policy statement to practice: integrating social needs screening and referral assistance with community health workers in an urban academic health center. J Prim Care Community Health. 2019;10:2150132719899207.

    Article  PubMed  Google Scholar 

  37. Loo S, Anderson E, Lin JG, Smith P, Murray GF, Hong H, et al. Evaluating a social risk screening and referral program in an urban safety-net hospital emergency department. J Am Coll Emerg Physicians Open. 2023;4(1):e12883.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Brown EM, Loomba V, De Marchis E, Aceves B, Molina M, Gottlieb LM. Patient and patient caregiver perspectives on social screening: a review of the literature. J Am Board Fam Med. 2023;36(1):66–78.

    Article  PubMed  Google Scholar 

  39. Clark JA, Parker VA, Battaglia TA, Freund KM. Patterns of task and network actions performed by navigators to facilitate cancer care. Health Care Manage Rev. 2014;39(2):90–101.

    Article  PubMed  Google Scholar 

  40. De Marchis EH, Hessler D, Fichtenberg C, Adler N, Byhoff E, Cohen AJ, et al. Part I: a quantitative study of social risk screening acceptability in patients and caregivers. Am J Prev Med. 2019;57(6 Suppl 1):S25-s37.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Schickedanz A, Hamity C, Rogers A, Sharp AL, Jackson A. Clinician experiences and attitudes regarding screening for social determinants of health in a large integrated health system. Med Care. 2019;57 Suppl 6 Suppl 2(Suppl 6 2):S197-s201.

    Article  PubMed  Google Scholar 

  42. Natale-Pereira A, Enard KR, Nevarez L, Jones LA. The role of patient navigators in eliminating health disparities. Cancer. 2011;117(15 Suppl):3543–52.

    PubMed  Google Scholar 

  43. Charlot M, Santana MC, Chen CA, Bak S, Heeren TC, Battaglia TA, et al. Impact of patient and navigator race and language concordance on care after cancer screening abnormalities. Cancer. 2015;121(9):1477–83.

    Article  PubMed  Google Scholar 

  44. Kokorelias KM, Shiers-Hanley JE, Rios J, Knoepfli A, Hitzig SL. Factors influencing the implementation of patient navigation programs for adults with complex needs: a scoping review of the literature. Health Serv Insights. 2021;14:11786329211033268.

    PubMed  PubMed Central  Google Scholar 

  45. Massachusetts Association of Community Health Workers. How to Integrate CHWs. Available from:

  46. Hsueh L, Hirsh AT, Maupomé G, Stewart JC. Patient-provider language concordance and health outcomes: a systematic review, evidence map, and research agenda. Med Care Res Rev. 2021;78(1):3–23.

    Article  PubMed  Google Scholar 

  47. Hinton E; Raphael J. 10 Things to know about medicaid managed care. Available from:

  48. Bonavitacola J. Rule change for patient navigation billing is a boon to oncology care, practice leaders say. Am J Managed Care. 2024;30(2):SP100.

    Google Scholar 

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We would like to thank the members of the TRIP consortium for their contributions to this project.

Informed Verbal consent

Informed Verbal consent was obtained from the participants. This was approved by the IRB at Boston Medical Center/Boston University.

Translating Research Into Practice (TRIP) Consortium

• Beth Israel Deaconess Medical Center (Ted A. James MD, Ellen Ohrenberger RN BSN, JoEllen Ross RN BSN, Jessica Shenkel MA).

• Boston Breast Cancer Equity Coalition Steering Committee (Susan T. Gershman MS MPH PhD CTR, Mark Kennedy MBA, Anne Levine MEd MBA, Erica T. Warner ScD MPH).

• Brigham and Women’s Hospital (Cheryl R. Clark MD ScD).

• Boston Medical Center (Tracy A. Battaglia MD MPH, Naomi Y. Ko MD, Erika Christenson, MPH, Debi Amburgey, BS, Julia Vance, BA, Madyson FitzGerald BS, Victoria Xiao, BS, Tony Zhao, MS).

• Boston University (Howard J. Cabral PhD MPH, Clara Chen MHS, Christine Lloyd-Travaglini MPH, Julianne Dugas, MS).

• Dana-Farber Cancer Institute (Magnolia Contreras MSW MBA, Rachel A. Freedman MD MPH).

• Dana-Farber/Harvard Cancer Center (Karen Burns White MS).

• Dartmouth Institute (Christine Gunn PhD).

• Massachusetts General Hospital (Beverly Moy MD, Jennifer S. Haas MD MPH, Caylin Marotta MPH, Amy J Wint MSc).

• Tufts Medical Center (Karen M. Freund MD MPH, W, Amy M. LeClair PhD MPhil, Susan K. Parsons MD MRP, Feng Qing Wang BA).

• University of Massachusetts Lowell (Serena Rajabiun MA MPH PhD).

• University of Massachusetts Chan Medical School (Stephenie C. Lemon PhD MS).


Research reported in this publication was supported by the National Center for Advancing Translational Sciences and the Office of Behavioral and Social Sciences Research of the National Institutes of Health under Award Number U01TR002070. Research reported in this publication was supported by the National Center for Advancing Translational Sciences of the National Institutes of Health under the Harvard University CTSA Award Number UL1TR002541, Tufts University CTSA Award Number UL1TR002544, Boston University CTSA Award Number 1UL1TR001430, and University of Massachusetts CTSA Award Number UL1 TR001453-03. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

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Authors and Affiliations




SCL, AML, EC, DA, HC, JSH, KNH and TAB contributed to student conception and design. AML, EC, DA, MF, FQW, JR and EO contributed to the collection and assembly of data. SCL, AML, EC, DA, MF, HC, CLT and TAB contributed to data analysis. SCL, AML, EC, DA, HC, JSH, CC, KNF and TAB contributed to manuscript writing. All authors contributed to data interpretation and approved the manuscript.

Corresponding author

Correspondence to Stephenie C. Lemon.

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Ethics approval and consent to participate

This study was approved by the Integrated Network for Subject Protection In Research (INSPIR) at Boston University School of Medicine (docket H-37314). All participants in qualitative methods went through an informed assent process before agreeing to participate in this research. Patients received patient navigation services as part of standard of care and informed consent was not required, per INSPIR approval. All methods were performed in accordance with the relevant guidelines and regulations.

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Not applicable.

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The authors declare that they have no competing interests.

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Lemon, S.C., LeClair, A.M., Christenson, E. et al. Implementation of social needs screening for minoritized patients newly diagnosed with breast cancer: a mixed methods evaluation in a pragmatic patient navigation trial. BMC Health Serv Res 24, 783 (2024).

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