Skip to main content

A mixed methods study to inform and evaluate a longitudinal nurse practitioner/community health worker intervention to address social determinants of health and chronic obstructive pulmonary disease self-management



Individuals with low socioeconomic status experience higher prevalence and worse outcomes of chronic obstructive pulmonary disease (COPD). We undertook a quality improvement initiative at our safety net hospital in which a nurse practitioner (NP)/community health worker (CHW) team followed patients with COPD, frequent admissions, and unmet SDOH needs from hospitalization through one month post-discharge. We report our mixed methods approach to inform development and preliminary evaluation of this intervention.


We first assessed characteristics of patients admitted with COPD in 2018 (n = 1811), performing multivariable logistic regression to identify factors associated with ≥ 2 admissions per year. We then tested a standardized tool to screen for unmet SDOH needs in a convenience sample of 51 frequently hospitalized patients with COPD. From January–July 2019, we pilot tested the NP/CHW intervention with 57 patients, reviewed NP/CHW logs, and conducted qualitative interviews with 16 patient participants to explore impressions of the intervention.


Patients with Medicaid insurance, mental health disorders, cardiac disease, and substance use disorder had increased odds of having ≥ 2 admissions. COPD severity, comorbidities, and unmet SDOH needs made COPD self-management challenging. Seventy-four percent of frequently admitted patients with COPD completing SDOH screening had unmet SDOH needs. Patients perceived that the NP/CHW intervention addressed these barriers by connecting them to resources and providing emotional support.


Many patients with COPD admitted at our safety-net hospital experience unmet SDOH needs that impede COPD self-management. A longitudinal NP/CHW intervention to address unmet SDOH needs following discharge appears feasible and acceptable.

Peer Review reports


Chronic obstructive pulmonary disease (COPD) is a leading cause of death and hospitalization in the U.S [1,2,3,4]. The U.S. Centers for Medicare and Medicaid Services instituted a penalty to hospitals with high risk-adjusted, 30-day all-cause unplanned readmissions rates after an index hospitalization for COPD in 2014 [5]. In response, hospitals have sought ways to improve outcomes for patients with COPD [6,7,8].

Most COPD discharge care bundles focus on medical care of COPD [9]. In 2016 Boston Medical Center (BMC), a large safety-net hospital, implemented the COPD Readmissions Reduction Program, consisting of a pulmonary nurse practitioner (NP) who provides COPD education during hospitalization for patients with COPD and clinical follow-up within 14 days post-discharge. Yet thirty-day all-cause readmissions after hospitalization for COPD remained high, suggesting short-term approaches focusing on medical care during the immediate post-discharge period do not fully address factors contributing to readmission.

Comorbidities and social determinants of health (SDOH), the social circumstances in which people are born, grow, live, work, and age, increase risk of hospitalization for patients with COPD [6,7,8, 10,11,12]. We used a mixed-methods approach [13, 14] to inform and evaluate a revised quality improvement (QI) initiative to reduce COPD readmissions. First, we identified factors associated with multiple admissions among BMC patients with COPD. We systematically assessed unmet SDOH needs using a standardized SDOH screening tool among frequently admitted patients with COPD. Based on our findings, BMC piloted an initiative in which NP’s efforts were paired with a community health worker (CHW) who engaged with patients for one month post-discharge to address barriers to COPD self-management. In this study we report findings of our mixed methods analyses to inform and evaluate feasibility and acceptability of this QI initiative to reduce hospitalizations among high-need individuals with COPD admitted to our safety net hospital.


Study design and overview

We utilized a mixed-method study with an explanatory sequential design through which we used qualitative data to provide insight into the characteristics of patients with COPD who are frequently hospitalized and to understand the feasibility of a NP/CHW intervention [13]. Our study took place at Boston Medical Center (BMC), New England’s largest safety net hospital which serves a substantial population of patients from underserved communities (approximately 72% of patients) [15]. The Institutional Review Board at Boston University Medical Campus approved this study.

In light of the failure of BMC’s initial COPD readmissions program to reduce hospitalizations, we convened an advisory stakeholder panel that included a patient with COPD, clinicians (hospitalist, ambulatory primary care provider, and pulmonary NP), a CHW (hired by the hospital who identifies as multiracial, unilingual (English-speaking), and is a long-time Boston resident), and BMC hospital leaders (Director of Strategy Implementation and Director of the COPD Readmission Reduction team) with the goal of developing a more successful program.

The panel convened in January 2019 to review 2018 admissions’ data pulled from BMC’s electronic health record (EHR) and NP experiences with the COPD Readmissions Reduction Program. To confirm NP’s perceptions that patients frequently experienced unmet SDOH needs that were barriers to COPD self-management, we tested a standardized SDOH screening tool (THRIVE) [16] in a convenience sample of 51 patients with COPD and ≥ 2 admissions in the past year. THRIVE asks eight questions about SDOH domains (housing, food, affording medications, transportation, utilities, caregiving, education, employment; Additional file 1). THRIVE also assesses interest in receiving resources to address identified SDOH needs [16].

After reviewing all data, the stakeholder panel concluded that adults with COPD and ≥ 2 hospitalizations per year with ≥ 1 unmet SDOH need were in need of a tailored intervention. We agreed on essential components: a longitudinal intervention bringing together a pulmonary NP to deliver evidence-based COPD care and a CHW to address unmet SDOH needs. Both the patient and the CHW noted that the intervention would need to be implemented for at least one-month post-discharge, noting that it takes at least 30 days to address SDOH needs (e.g. securing non-emergency medical transportation) experienced by our patients.

As recommended by the stakeholder panel, prior to pilot testing the intervention, the NP received training on guideline concordant COPD recommendations [17]. The CHW completed training on administering the THRIVE screening tool with content focused on how to initiate services tailored to unmet SDOH needs and received CHW core competency training through our hospital. Recognizing the high smoking rates in our patient population, both the NP and CHW received certification in tobacco treatment practice through the Association for the Treatment of Tobacco Use and Dependence [18].

From January–July 2019, we pilot tested the longitudinal NP/CHW intervention. To evaluate feasibility and acceptability of the intervention, we reviewed NP/CHW activity logs and qualitatively examined perspectives of patient participants.

EHR data

We used BMC Clinical Data Warehouse, which consolidates data from the electronic health record, to identify adults (age ≥ 18 years) admitted to the hospital or clinical observation unit between January 1-December 31, 2018 with COPD (n = 1811). Patients were identified with COPD by ICD-10 codes J44.9 and/or COPD (COPD, chronic bronchitis, and/or emphysema) on discharge problem lists. We collected data on [1] demographics; [2] smoking status; [3] comorbid conditions associated with readmissions [6, 7, 12] (i.e., cardiac conditions, substance use disorders (SUD) and mental health disorders (MHD) identified by ICD-10 codes and/or listed on discharge problem lists); and [4] number of admissions. We calculated median number of days hospitalized per year.

We performed multivariable logistic regression to identify factors associated with ≥ 2 admissions. Demographics (age, gender, race, ethnicity, insurance-type), current smoking status, and comorbid illness (cardiac conditions, SUD, MHD) were selected a priori as variables for inclusion in the multivariable models. Statistical analysis was conducted using the Statistical Language R, version 4.0.2, with p values ≤ 0.05 considered significant.

THRIVE screener administration

We identified 70 participants from a list of patients scheduled in NP’s clinic, which largely consists of patients recently discharged from the hospital who carry COPD as a diagnosis on their problem list. We administered the validated THRIVE screening tool for SDOH needs (Additional file 1) to these patients. We additionally assessed perceived support, cigarette use, stress, anxiety, depression, and substance use (alcohol, drug use or misuse) (included in Additional file 1), all factors which may affect COPD self-management.

NP/CHW intervention

From January-July 2019, we arranged for the NP’s efforts to be complemented by CHW-navigation for 1 month post-discharge. During this period, we enrolled a convenience sample of 57 patients with COPD, who were admitted ≥ 2 times and reported at least 1 unmet SDOH need to the NP/CHW team. Table 1 describes elements of the NP/CHW intervention, based on recommendations from the stakeholder advisory committee.

Table 1 Elements of COPD nurse practitioner (NP)/community health worker (CHW) intervention

The NP/CHW team kept logs tracking the number of patients engaged during hospitalization and post-discharge and recorded tasks completed. We reviewed these logs to evaluate NP/CHW activities and assess feasibility of the study. The feasibility metrics assessed in team logs included: (1) total time spent by the CHW/NP team on each patient; (2) tasks completed for each patient (e.g., tobacco treatment, connecting to specific SDOH resources, COPD clinical management tasks); and (3) ability to engage patient in program (i.e., # of patients completing post-discharge visits).

Qualitative data

We conducted semi-structured interviews (January–July 2019) with 16 purposely selected patients based on varying unmet SDOH needs and level of engagement with the CHW/NP. Interviews were audio-recorded with participant consent. Participation was voluntary and no monetary compensation was offered.

We utilized the Social Contextual Model [19] to develop our interview guide, which provides a framework for categorizing the social context that influences health behaviors (Fig. 1). We probed for how health (COPD severity, co-morbid conditions) and contextual factors (unmet SDOH needs, health literacy) contributes to COPD self-management and HRQOL. The guide was designed to identify modifiable aspects of social context, elicit suggestions on how providers can intervene on these factors, and explore acceptability of the intervention.

Fig. 1
figure 1

Social-contextual model—adapted for COPD. The Social Contextual Model stresses the influence of social context on health behaviors. The theoretical underpinning of the NP/CHW intervention is to identify modifiable social contextual factors (SDOH such as food insecurity) and to intervene on these modifiable factors (i.e. connect to existing community services to address SDOH needs), thus positively impacting COPD self-management and leading to improved HRQOL

We used NVivo to organize and support content analysis. Interviews were transcribed verbatim. Transcripts were analyzed using deductive and inductive analysis [20, 21]. For deductive analysis, data were mapped to constructs from the Social Contextual Model. For inductive analysis, we conducted unstructured coding to allow for new themes. After developing a preliminary codebook, 3 study members independently reviewed all transcripts and revised and added codes until consensus on codes and summary categories were reached. We finalized categories, grouped themes in each category, and identified quotes best highlighting themes.


Patient demographics and SDOH needs

Among 1,811 patients admitted with COPD in 2018, 776 (42.8%) had ≥ 2 admissions (median 2), with a median of 12 total days in hospital (IQR 6 to 22 days). Characteristics of those with one admission compared to those with ≥ 2 admissions along with adjusted odds ratios (AOR) with 95% confidence intervals (CI) are reported (Table 2). Medicaid-insured patients had 70% increased odds of ≥ 2 admissions (AOR 1.7, 95% CI 1.1–2.7). Patients with the following co-morbidities had increased odds of ≥ 2 admissions: MHD (AOR 1.5, 95% CI 1.1–1.9), cardiac disease (AOR 2.0, 95% CI 1.5–2.8) and SUD (AOR 1.8, 95% CI 1.4–2.4) (Table 2).

Table 2 Factors associated with multiple admissions among all patients admitted with COPD in 2018

Of the 70 patients identified from a list of patients scheduled in NP’s clinic following hospital discharge, 19 (27%) could not be reached. Another nine patients were excluded because they did not meet criteria of ≥ 2 admission per year. Comparison of characteristics (age, gender, race, ethnicity and insurance type) of participants (n = 42) with those not reachable (n = 19) did not differ by Chi-square and student’s t-tests. Table 3 shows demographics of the 42 patients with ≥ 2 admissions who completed THRIVE. Seventy-four percent (31/42) screened positive for unmet SDOH needs. Overall, 87.0% (27/31) expressed interest in help with resources and 75% (24/32) expressed interest in meeting a CHW to address needs.

Table 3 Self-reported characteristics of patients with ≥ 2 admissions who completed the THRIVE screener

NP/CHW activities

The CHW/NP team met all 57 patients participating in the QI initiative during admission (Table 4). The most common tasks completed during hospitalization included providing COPD education (NP), facilitating scheduling in pulmonary clinics (NP and CHW), arranging transportation for medical appointments (CHW), and providing tobacco treatment (NP and CHW). Review of the NP/CHW tracking logs demonstrated that commonly performed post-discharge tasks included providing tobacco treatment and COPD education, providing transportation to medical appointments, and facilitating scheduling to medical appointments (Table 4). Other post-discharge tasks included arranging food assistance and addressing other unmet SDOH needs and connecting to medical care including MHD/SUD clinics and pulmonary rehabilitation programs (CHW). The NP was able to meet with 36 patients within 14 days of hospital discharge. The NP spent 2–4 h per patient per week and the CHW spent approximately 4 h per patient per week. CHW visits most commonly occurred in the pulmonary clinic or over the phone; a minority of visits occurred in patient’s homes.

Table 4 Tasks completed by NP/CHW team

Qualitative analysis

Table 5 shows characteristics of participants in qualitative interviews.

Table 5 Qualitative interview patient demographics (n = 16)

Key themes from qualitative interviews included: (1) COPD disease severity, unmet SDOH needs, co-morbid illness, and health literacy led to poor HRQOL and COPD self-management; (2) patients are receptive to receiving help in addressing these factors but perceive clinicians are unable to adequately address them; and (3) patients’ experiences with the CHW were positive (Fig. 2). We elaborate on these themes using key constructs from the Social Contextual Model.

Fig. 2
figure 2

Key themes and subthemes identified from qualitative interviews

Factors contributing to poor HRQOL and COPD self-management

COPD disease severity limited patients’ daily activities, which often led to social isolation

How disease severity impacted HRQOL largely depended on patient’s ability to maintain relationships:

I don’t smile. I’m glued to these [oxygen] tubes… I went from someone who went out and people saw at least every day to a ghost. I’m not getting out to socialize and that’s not good for me. (P-4)

When patients received support they perceived better HRQOL.

I have a minister come in at least once a week, which is really nice. I'm hoping if I feel a little better to go to the senior center and maybe take a class or two,…quilting and something else. (P-10)

Unmet SDOH needs impacted COPD self-management

Patients cited poor access to transportation and inability to afford medications as barriers to COPD self-management:

Sometimes I can’t pay for my cabs to get to appointments. I got to pay my rent, phone, then dinner. Food is expensive. (P-6)

They ordered me a nice new inhaler. …It would’ve helped me out a lot, but my insurance wouldn’t pay. I don’t have money to pay for it. (P-8)

To improve COPD self-management, patients emphasized how they needed assistance with unmet SDOH needs:

If they get a van to pick me up and make sure I get to my appointments, that’d be great for me. (P-15)

Co-morbid illness, particularly SUD, adversely impacted COPD self-management

Patients were aware of and connected how their use of substances made it difficult to self-manage COPD:

It (alcohol) interfered with everything. I’m like, ‘Oh, did I take that [inhaler] today?’ ‘Or was that yesterday I’m thinking of?’ (P-9)

Some patients felt that if they had structure, they would take better care of their health.

I need something to occupy my time, keep me busy, so I won’t fall back to old habits of just sitting and drinking and smoking all day. (P-9)

Health literacy: limited patient understanding of COPD interfered with COPD self-management

Patients stated they often had difficulty understanding health-related materials, making it difficult to care for themselves. Navigating the health system was particularly challenging after recent admissions:

I get confused about appointments. I get out of the hospital, I'm confused as hell and everybody hit [me] with their appointments. (P-2)

Patients discussed how being educated about managing COPD would be empowering.

I didn’t know what COPD was. I didn’t never even understand about cigarettes would destroy your body like that. I do not mind making sure I go to a class to make sure I’m using it [inhaler] properly because I might not be getting all the medication that I should be getting in my lungs. …I want to learn everything. If I have to go to these classes, I’m going to go. (P-11)

Patients perceive that clinicians inadequately address barriers to COPD self-management

Patients acknowledged they would benefit from support, but did not know how to access it:

There are people [like me] who don’t know how to navigate anything and need help. I just want to make sure everything’s taken care of before I wind up back at home with nothing accomplished. (P-4)

Patients discussed how clinicians’ attempts to address barriers to COPD self-management often failed, stating these reasons:

Poor continuity of care, with turnover of providers: You finally tell [your primary care provider] about everything going on in your life, and then they’re gone. It’s back to square one. I get frustrated about that. (P-1)

Perceived lack of interest: [My] nurse…almost seemed bothered to do anything for me. (P-3)

Stigma related to prior health behaviors: I admit I’m part of the damage after 55 years [of smoking]. When I tell them that, certain doctors are going to have this attitude that ‘He don’t care about himself, why should I care?’ (P-12)

Mistrust of healthcare team: A lot of people [doctors] are all talk and no action. That’s what I find with most of them. ‘Oh, yeah, we’ll get it done,’ and then they don’t. (P-4)

Based on prior experiences, some were reluctant to ask for help.

I don't want nobody to do for me. That's the first thing everybody'd think, because you're in a lower position, …that you're begging. (P-5)

Want to get rid of someone? Ask them for help. Easiest way to get rid of somebody. (P-4)

NP/CHW intervention as a solution to addressing barriers to COPD self-management

Almost all patients described their interactions with the NP/CHW as helpful in addressing barriers to COPD self-management, with the following components most helpful:

Connecting to resources for unmet SDOH needs: I have oxygen 24/7. In the summertime, my AC is on all the time. My electric bill is over $5,000. I am very stressed. I don't know how I'm gonna be able to pay that. [The CHW] walked us through the steps and we’re at the point where I'm trying to do a deal with them to start to pay it off. (P-10)

Providing support when comorbidities interfere with self-management: [CHW is] doing all kinds of things that if left up to me, would never get done. I would say F*** it and we’re back to drinking ’til I just died. (P-7)

Navigation to access medical care: I had an appointment April something, and I said, ‘That’s not gonna help me.’ [CHW] got it moved up to like, it’s tomorrow. …Stuff like that really helps. (P-1)

Providing tailored COPD management: I was on [tiotropium], but I was telling them it was getting too hard for me to suck it in. …So they [NP/CHW team] showed me [a different inhaler]. It’s much easier. (P-11)

Some patients, however, had difficulty accepting support and engaging with the NP/CHW team.

I have faith in the system and what people’s trying to do, …but I’m stubborn. If I don’t feel like going, I’m not going. Simple as that. (P-13)


The American Thoracic Society recently called for interventions to address SDOH in COPD populations to reduce disparities, improve care quality, and reduce hospitalizations [22]. In this study, we used mixed methods to inform, pilot test, and evaluate a QI initiative at our safety net hospital for our most vulnerable patients with COPD: individuals with at least two hospitalizations per year and one or more unmet SDOH need. Based on review of EHR data, we learned that almost half of patients with COPD admitted ≥ 2 times per year were Medicaid-insured and 41% were African American, both markers of vulnerability to systemic disadvantage conferred by negative SDOH [23]. Multivariable regression analysis showed being Medicaid-insured and having comorbid cardiac, MHD, and SUD were associated with increased odds of multiple admissions. The majority of patients (74%) with multiple admissions who completed THRIVE had unmet SDOH needs, findings consistent with the growing body of evidence that SDOH drive health outcomes [10, 24]. Patient interviews informed our understanding of the relationship of these factors with poor HRQOL and COPD self-management and gave us insight on how the NP/CHW team performed in addressing these barriers. In short, we found multiple factors contribute to poor HRQOL and COPD self-management among patients with COPD admitted at our safety-net hospital: COPD severity, comorbidities, unmet SDOH needs, and low health literacy. Our discussion focuses on how our findings might influence future interventions both at our own institution and others to promote HRQOL and hospital-free days among frequently admitted patients with COPD.

We found high rates of unmet SDOH needs among frequently admitted patients with COPD. Adverse SDOH increase the risk of poor outcomes after AECOPD [25]. In many clinical contexts, intervening on unmet SDOH needs by connecting individuals with resources can improve health outcomes [26]. Few interventions focus on how screening and addressing SDOH might improve COPD outcomes. Our study suggests that patients hospitalized at our safety-net hospital are receptive to such interventions, as has been previously shown in our primary care clinics [16].

Our QI initiative pairing a disease-specific trained NP to deliver evidence-based COPD care and a CHW to address unmet SDOH needs demonstrated that the majority of patients engaged with the CHW post-discharge and received assistance with unmet SDOH needs. In qualitative analyses, patients participating in the NP/CHW intervention described how COPD severity, comorbidities, unmet SDOH needs, and poor health literacy influenced HRQOL and ability to navigate their healthcare. While patients hesitated asking clinicians for help in addressing these factors, they were receptive to CHW-facilitated tailored assistance.

Patients identified components as particularly helpful: (1) connecting to resources for unmet SDOH needs; (2) providing support for social isolation; (3) navigating to access medical care; and (4) providing tailored COPD management. Among patients with COPD, perceived social support is associated with improved self-efficacy [27, 28] Studies have evaluated the effectiveness of CHWs in improving breast cancer screening and health outcomes including cardiac disease [29,30,31,32]. A systematic review on CHW interventions demonstrated improvement in aspects of asthma-related disease burden; no studies have reported on COPD-specific outcomes [33].

A strength of this work is our mixed-methods approach to inform development and evaluation of the QI initiative, including analysis of sociodemographic and comorbidity data from the EHR, screening for SDOH needs using a standardized instrument (THRIVE screener) [16], review of NP/CHW logs, and qualitative interviews. Another strength was the focus on the understudied population of COPD patients frequently admitted to a safety-net hospital. The major limitations of our study include small sample size and single site which limits generalizability. Further, findings are from participants who volunteered and may not reflect perspectives from all individuals. This preliminary evaluation focused on assessing feasibility and acceptability of the QI initiative, but was not designed to comment on clinical effectiveness.


Mortality in individuals with COPD has decreased faster in individuals with the highest compared with the lowest SES [34]. A meta-analysis showed that COPD discharge care bundles focused on medical management lead to fewer readmissions but no improvements in mortality and HRQOL [35]. Several SES domains are risk factors for COPD readmission or death [36], yet discharge bundles rarely address factors that low SES patients face. In this study we show it is essential for COPD discharge bundles in hospitals serving marginalized populations to address how SDOH and comorbidities influence COPD self-management. Our longitudinal NP/CHW intervention appears to be a feasible and acceptable strategy to intervene on these factors and is responsive to the American Thoracic Society’s call for interventions to address SDOH needs for patients with COPD. Future work will assess effectiveness of this intervention at reducing hospitalizations.

Availability of data and materials

The data that support the findings of this study are available from the corresponding author upon request.


  1. Murphy SL, Xu J, Kochanek KD, Arias E. Mortality in the United States, 2017. NCHS Data Brief. 2018;328:1–8.

    Google Scholar 

  2. Ford ES, Croft JB, Mannino DM, Wheaton AG, Zhang X, Giles WH. COPD surveillance–United States, 1999–2011. Chest. 2013;144(1):284–305.

    Article  Google Scholar 

  3. Perera PN, Armstrong EP, Sherrill DL, Skrepnek GH. Acute exacerbations of COPD in the United States: inpatient burden and predictors of costs and mortality. COPD. 2012;9(2):131–41.

    Article  Google Scholar 

  4. Seemungal TA, Donaldson GC, Paul EA, Bestall JC, Jeffries DJ, Wedzicha JA. Effect of exacerbation on quality of life in patients with chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 1998;157(5 Pt 1):1418–22.

    Article  CAS  Google Scholar 

  5. Department of Health and Human Services. Centers for Medicare & Medicaid Services. Medicare Program; Hospital Inpatient Prospective Payment Systems for Acute Care Hospitals and the Long Term Care Hospital Prospective Payment System and Fiscal Year 2014 Rates; Quality Reporting Requirements for Specific Providers; Hospital Conditions of Participation: Payment Policies Related to Patient Status; Final Rule. 42 CFR Parts 412, 413, 414, 419, 424, 482, 485, and 489.

  6. Jencks SF, Williams MV, Coleman EA. Rehospitalizations among patients in the Medicare fee-for-service program. N Engl J Med. 2009;360(14):1418–28.

    Article  CAS  Google Scholar 

  7. Mowls DS, Cheruvu VK, Schilz R, Zullo MD. COPD in a nationally representative sample: sociodemographic factors and co-morbidity, diagnosis method, and healthcare utilization. COPD. 2015;12(1):96–103.

    Article  Google Scholar 

  8. Goto T, Yoshida K, Faridi MK, Camargo CA Jr, Hasegawa K. Contribution of social factors to readmissions within 30 days after hospitalization for COPD exacerbation. BMC Pulm Med. 2020;20(1):107.

    Article  Google Scholar 

  9. Gómez-Angelats E, Sánchez C. Care bundles after discharging patients with chronic obstructive pulmonary disease exacerbation from the emergency department. Med Sci (Basel). 2018;6(3).

  10. Chetty U, McLean G, Morrison D, Agur K, Guthrie B, Mercer SW. Chronic obstructive pulmonary disease and comorbidities: a large cross-sectional study in primary care. Br J Gen Pract. 2017;67(658):e321–8.

    Article  Google Scholar 

  11. Andermann A, Collaboration C. Taking action on the social determinants of health in clinical practice: a framework for health professionals. CMAJ. 2016;188(17–18):E474–83.

    Article  Google Scholar 

  12. Westerik JA, Metting EI, van Boven JF, Tiersma W, Kocks JW, Schermer TR. Associations between chronic comorbidity and exacerbation risk in primary care patients with COPD. Respir Res. 2017;18(1):31.

    Article  Google Scholar 

  13. Fetters MD, Curry LA, Creswell JW. Achieving integration in mixed methods designs-principles and practices. Health Serv Res. 2013;48(6 Pt 2):2134–56.

    Article  Google Scholar 

  14. Ivankova N, Creswell J, Stick S. Using mixed-methods sequential explanatory design: from theory to practice. 2006. p. 3–20

  15. BMC-Facts. Accessed on 2/4/2022.

  16. 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.

  17. Global initiative for chronic obstructive lung disease. Accessed on 2/4/2022.

  18. Association for the Treatment of Tobacco Use and Dependence. Accessed on 2/4/2022.

  19. Sorensen G, Barbeau E, Hunt MK, Emmons K. Reducing social disparities in tobacco use: a social-contextual model for reducing tobacco use among blue-collar workers. Am J Public Health. 2004;94(2):230–9.

    Article  Google Scholar 

  20. Pope C, Ziebland S, Mays N. Qualitative research in health care. Analysing qualitative data BMJ. 2000;320(7227):114–6.

    CAS  PubMed  Google Scholar 

  21. Elo S, Kyngäs H. The qualitative content analysis process. J Adv Nurs. 2008;62(1):107–15.

    Article  Google Scholar 

  22. Press VG, Au DH, Bourbeau J, Dransfield MT, Gershon AS, Krishnan JA, et al. Reducing chronic obstructive pulmonary disease hospital readmissions. An official american thoracic society workshop report. Ann Am Thorac Soc. 2019;16(2):161–70.

  23. Tsai J, Brooks K, DeAndrade S, Ucik L, Bartlett S, Osobamiro O, et al. Addressing racial bias in wards. Adv Med Educ Pract. 2018;9:691–6.

    Article  Google Scholar 

  24. Andermann A. Screening for social determinants of health in clinical care: moving from the margins to the mainstream. Public Health Rev. 2018;39:19.

    Article  Google Scholar 

  25. Euceda G, Kong WT, Kapoor A, Hokanson JE, Dilauro P, Ogunnaike R, et al. The effects of a comprehensive care management program on readmission rates after acute exacerbation of COPD at a community-based academic hospital. Chronic Obstr Pulm Dis. 2018;5(3):185–92.

    PubMed  PubMed Central  Google Scholar 

  26. Taylor LA, Tan AX, Coyle CE, Ndumele C, Rogan E, Canavan M, et al. Leveraging the social determinants of health: what works? PLoS One. 2016;11(8):e0160217.

  27. Barton C, Effing TW, Cafarella P. Social support and social networks in COPD: a scoping review. COPD. 2015;12(6):690–702.

    PubMed  Google Scholar 

  28. Kara M, Mirici A. Loneliness, depression, and social support of Turkish patients with chronic obstructive pulmonary disease and their spouses. J Nurs Scholarsh. 2004;36(4):331–6.

    Article  Google Scholar 

  29. Spencer MS, Rosland AM, Kieffer EC, Sinco BR, Valerio M, Palmisano G, et al. Effectiveness of a community health worker intervention among African American and Latino adults with type 2 diabetes: a randomized controlled trial. Am J Public Health. 2011;101(12):2253–60.

    Article  Google Scholar 

  30. Wells KJ, Luque JS, Miladinovic B, Vargas N, Asvat Y, Roetzheim RG, et al. Do community health worker interventions improve rates of screening mammography in the United States? A systematic review. Cancer Epidemiol Biomarkers Prev. 2011;20(8):1580–98.

    Article  Google Scholar 

  31. Brownstein JN, Chowdhury FM, Norris SL, Horsley T, Jack L Jr, Zhang X, et al. Effectiveness of community health workers in the care of people with hypertension. Am J Prev Med. 2007;32(5):435–47.

    Article  Google Scholar 

  32. Norris SL, Chowdhury FM, Van Le K, Horsley T, Brownstein JN, Zhang X, et al. Effectiveness of community health workers in the care of persons with diabetes. Diabet Med. 2006;23(5):544–56.

    Article  CAS  Google Scholar 

  33. Parekh TM, Copeland CR, Dransfield MT, Cherrington A. Application of the community health worker model in adult asthma and COPD in the U.S.: a systematic review. BMC Pulm Med. 2019;19(1):116.

  34. Pleasants RA, Riley IL, Mannino DM. Defining and targeting health disparities in chronic obstructive pulmonary disease. Int J Chron Obstruct Pulmon Dis. 2016;11:2475–96.

    Article  Google Scholar 

  35. Ospina MB, Mrklas K, Deuchar L, Rowe BH, Leigh R, Bhutani M, et al. A systematic review of the effectiveness of discharge care bundles for patients with COPD. Thorax. 2017;72(1):31–9.

    Article  Google Scholar 

  36. Gershon AS, Thiruchelvam D, Aaron S, Stanbrook M, Vozoris N, Tan WC, et al. Socioeconomic status (SES) and 30-day hospital readmissions for chronic obstructive pulmonary (COPD) disease: A population-based cohort study. PLoS One. 2019;14(5):e0216741.

Download references


This work was supported by the Boston University Evans Center for Implementation and Improvement Sciences (CIIS), by the National Heart, Lung, And Blood Institute of the National Institutes of Health under Award Number T35HL139444. Dr. Fix was supported by the Department of Veterans Affairs, Veterans Health Administration, Health Services Research and Development Service, and in part from resources from the VA Bedford Healthcare System. She is a VA HSR&D Career Development awardee at the Bedford VA (CDA 14–156). Dr. Wiener is supported in part by resources from the VA Boston Healthcare System.

Author information

Authors and Affiliations



Study concept and design: LK, RSW, MD, GMF, MLD, JH, FL, HK. Acquisition of data: LK, MD, JH, AGF, CW, CD, HK. Analysis and interpretation of data: LK, RSW, MD, GMF, MLD, JH, FL, KB, HK. Drafting of the manuscript: LK. Critical revision of the manuscript for important intellectual content: HK, RSW, GMF, MLD. Reviewing and editing: LK, RSW, MD, GMF, JH, FL, JH, AGF, CW, CD, KB, MLD, HK. Obtained funding: HK, RSW. Study supervision: HK. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Hasmeena Kathuria.

Ethics declarations

Ethics approvals and consent to participate

The Institutional Review Board at Boston University Medical Campus approved this study. All procedures performed in studies involving human participants were in accordance with ethical standards of the Institutional Review Board.

Consent to participate

Informed consent was obtained from all individual participants included in the study.

Consent for publication

Not applicable.

Competing interests

Dr. Kathuria reported serving as a Section Editor for the Tobacco Dependence Treatment section for UpToDate. No other conflicts of interest/financial disclosures were reported by the authors of this paper.


The views expressed in this article do not necessarily represent the views of the Department of Veterans Affairs or the United States Government or the official views of the National Institutes of Health. The funding organizations had no role in the design and conduct of the study; the collection, management, analysis, and interpretation of the data; or the preparation, review, or approval of the manuscript.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1:

THRIVE screening tool.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kearney, L., Wiener, R.S., Dahodwala, M. et al. A mixed methods study to inform and evaluate a longitudinal nurse practitioner/community health worker intervention to address social determinants of health and chronic obstructive pulmonary disease self-management. BMC Pulm Med 22, 74 (2022).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: