Abstract
Background
Patient-physician communication is critical for helping patients understand and complete the complex steps needed to diagnose stage and treat lung cancer. We assessed which domains of patient-physician communication about lung cancer and its treatment are associated with receipt of disease-directed, stage-appropriate treatment.
Methods
Patients with recently-diagnosed lung cancer were recruited from four medical centers in New York City from 2008 to 2011. Participants were surveyed about discussions with physicians regarding treatment, symptoms and needs. Multiple regression analysis and structural equation modeling were used to assess which communication factors were associated with disease treatment.
Results
Of the 352 participants, 191 (54%) received disease-directed, stage-appropriate treatment. Unadjusted associations between communication items and treatment found that participants who felt that their physicians explained the risks and disadvantages of lung cancer treatment (P<0.01), discussed their chances of cure (P=0.02), discussed goals of treatment (P<0.01) or who were warm and friendly (P=0.04) were more likely to undergo treatment. Three communication domains were identified: treatment information, physician support, and patient symptoms/needs. After adjusting for known determinants of lung cancer treatment, increased treatment information was associated with higher probability of cancer-directed treatment (P=0.003). Other communication domains (physician support or patient symptoms/needs) were not independent predictors of treatment (P>0.05 for both comparisons).
Conclusions
These data suggest that treatment information is particularly important for increasing the probability of cancer-directed therapy among lung cancer patients. Clinicians should ensure that they clearly discuss treatment goals and options with patients while maintaining empathy, supporting patient needs, and addressing symptoms.
Keywords: lung cancer, treatment, patient-provider communication
Introduction
Despite the high mortality rate and poor overall prognosis of lung cancer, appropriate treatment is associated with decreased morbidity and improved survival, particularly for patients with non-metastatic disease.1 Even for more advanced disease stages, chemotherapy along with supportive care can increase the median survival and improve quality of life.2 The process leading to lung cancer treatment, from initiation to completion, is quite involved. In order to receive cancer-directed therapy, lung cancer patients need to be diagnosed in a timely manner, appropriately staged, and then may need to undergo multipart treatment procedures such as surgery, chemotherapy and/or radiation. Successful treatment requires complex care coordination, effective management, and ongoing communication with multiple providers. As a result, patients need a clear understanding of their disease and treatment options to be able to make decisions and initiate treatment.
Several factors such as access to care, the ability to navigate the complexities of the healthcare system, and social support can influence whether lung cancer patients receive treatment.3-5 Additionally, patients’ understanding of diagnostic tests, treatment options, and prognosis, coupled with their ability to adhere to provider recommendations, may affect whether patients ultimately accept and undergo treatment. Therefore, patient-physician communication likely plays a key role in ensuring that lung cancer patients understand the rationale and importance of treatment and complete these complex steps.
Prior research has shown that while many patients with lung cancer are satisfied with how clinicians discuss diagnosis and treatment options, physicians’ communication about treatment goals remains suboptimal.6 Moreover, poor communication resulting in unattended patient needs has been reported across all stages of lung cancer.7 However, the potential impact of patient-provider communication on lung cancer treatment has not been previously explored. In this study, we assessed which domains of patient-physician communication about lung cancer and its treatment are associated with receipt of stage-appropriate cancer-directed treatment.
Materials and Methods
A cohort of lung cancer patients were recruited from four New York City hospitals (Mount Sinai Hospital, Montefiore Hospital, New York-Presbyterian Hospital and Harlem Hospital) between January 11, 2008 and November 9, 2011. We identified potential participants using centralized registries maintained by the hospitals’ pathology departments and/or institutional tumor registries. To ensure we captured all potential study subjects, we also regularly contacted lung cancer providers, conducted weekly screenings of oncology, radiotherapy and pulmonary clinics, posted flyers advertising the study at treatment sites, and communicated with clinicians serving on tumor boards of the participating hospitals.
Patients were eligible for the study if they were English or Spanish speaking, ≥18 years of age, and diagnosed with primary lung cancer within the previous 12 months. Potential participants were excluded if they were without decisional capacity or had been diagnosed with another malignancy (other than non-melanoma skin cancer) within the past 5 years. Eligible patients were undergoing staging work-up or treatment when they were approached by the study team. Once participants signed informed consent, they underwent a standardized in-person baseline interview in their preferred language. Follow-up phone interviews were conducted to collect data on primary, cancer-directed treatment. Medical record review was conducted using a standardized instrument to obtain and confirm information about patients’ diagnostic evaluation, cancer stage and treatment. The study was approved by the Institutional Review Boards of all participating institutions.
Sociodemographic characteristics, including age, sex, race, ethnicity, marital status, primary language, education, insurance status and income were collected by patient self-report. Patients were classified according to the Tumor, Node and Metastasis staging criteria of the American Joint Committee on Cancer (7th edition) through review of medical records, pathology reports, and tumor registry data. Information about comorbidities was collected by self-report and confirmed by chart review. Performance status was assessed by patient report using the Eastern Cooperative Oncology Group (ECOG) instrument.8
Questions regarding physician communication covered several domains (Table 2). The first group of questions focused on lung cancer treatment and goals of care and included items inquiring if lung cancer doctors explained the disease itself; the benefits and disadvantages, potential complications and goals of treatment; and the chances of cure. The second domain focused on patients’ physical, emotional, spiritual and practical needs. Items inquired about whether doctors discussed emotional issues (sadness, anxiety, etc.), physical symptoms, spiritual concerns, or practical needs (transportation to appointments, homemaking assistance). The third domain included items about physician support, such as whether their doctors encouraged patients to ask questions, used simple language, showed they care, and were warm and friendly. Questions were developed with input from an interdisciplinary team of experts in lung cancer, patient-physician communication, psychology and palliative care; details about survey development have been previously described.7 Responses rated level of agreement with statements either on a 4-point Likert scale, ranging from “strongly agree” to “strongly disagree” or on a 5-point Likert scale from discussed “not at all,” “a little bit,” “somewhat,” “quite a bit,” or “a lot.” Reponses were dichotomized: “strongly agree” and “agree” were combined into one category versus “disagree” and “strongly disagree” and “quite a bit” and “a lot” were combined versus “somewhat, “a little bit” and “not at all.”
Table 2.
Unadjusted Associations between Patient-Physician Communication and Receipt of Stage-Appropriate Cancer-Directed Treatment_
| Communication Items, N (%) | Treatment | P-value | |
|---|---|---|---|
| (Yes N=191) |
(No N=161) |
||
| Treatment and Goals of Care | |||
| Explained benefits and disadvantages of treatments | 173 (92) | 125 (83) | <0.01 |
| Talked about chances of curing cancer | 126 (67) | 82 (54) | 0.02 |
| Explained what lung cancer is | 166 (87) | 141 (89) | 0.59 |
| Discussed goals of treatment | 152 (80) | 99 (68) | <0.01 |
| Discussed complications of treatment | 134 (71) | 101(64) | 0.22 |
| Physician Support | |||
| Showed care about me | 186 (98) | 155 (98) | 0.90* |
| Warm and friendly | 190(100) | 154 (97) | 0.04* |
| Used simple language | 184 (97) | 152 (96) | 0.74* |
| Encouraged asking questions | 180 (95) | 145 (93) | 0.49 |
| Patient Needs | |||
| Discussed emotional symptoms | 88 (47) | 69 (45) | 0.79 |
| Discussed physical symptoms | 148 (78) | 113 (73) | 0.24 |
| Discussed practical needs | 60 (32) | 50 (32) | 0.92 |
| Discussed spiritual concerns | 39 (21) | 34 (22) | 0.85 |
indicates Fisher s exact test
The study outcome, receipt of disease-directed, stage-appropriate treatment (including surgery, chemotherapy and/or radiation therapy), was defined based on the National Comprehensive Cancer Network (NCCN) recommendations for lung cancer management.9 Treatment was ascertained through medical chart review, and patients were classified as having received such treatment if they underwent NCCN-concordant primary lung cancer-directed therapy within a year of diagnosis (see supplemental table).
Statistical Analysis
We used descriptive statistics to summarize sociodemographic characteristics of participants. The unadjusted association between patient-physician communication items within each domain and receipt of cancer-directed, stage-appropriate treatment was assessed using the chi-square or Fisher’s exact test, as appropriate. We used exploratory factor analysis to identify latent factors representing different communication domains. Based on the scree plot and eigenvalues (values >1), we identified three latent factors. Items with absolute loadings ≥0.5 and that were theoretically congruent with prior knowledge were assigned to specific factors. We then used structural equation modeling (SEM) to evaluate which communication factors were associated with receipt of stage-appropriate treatment. The SEM was adjusted for age, gender, race/ethnicity, primary language, marital status, income, insurance, comorbidities, lung cancer stage, and performance status. Effect estimates from the latent communication factors leading into treatment represent the increase in the probit of the likelihood of receiving treatment with a one standard deviation increase in the communication factor score. Model fit was assessed with the Root Mean Square Error of Approximation (RMSEA) and the Comparative Fit Index (CFI). Analyses were conducted with SAS9.2 (SAS Institute Inc., Cary, NC) and Mplus7 (Muthen & Muthen, Los Angeles, CA).
Results
During the study period, we screened 1,542 patients, of whom 484 were eligible for and 368 (76%) were enrolled in the study. Cancer stage information was missing for 16 patients who were excluded from the analysis, leaving a final cohort of 352 lung cancer patients.
Participants’ sociodemographic and lung cancer characteristics are shown in Table 1. The mean (SD) age of participants was 65.7 (11) years, 168 (48%) were men and 193 (55%) were married. Twenty-one percent were black, 20% were Hispanic and 55% were white. Eighty percent of participants were native English speakers and 75% had a high school or greater education. Overall, 191 (54%) of participants received disease-directed, stage-appropriate treatment.
Table 1.
Characteristics of the Study Participants (N=352)a
| Characteristic | Value |
|---|---|
|
| |
| Age, years, Mean±SD | 66±11 |
|
| |
| Male, N (%) | 168 (48) |
|
| |
| Married, N (%) | 193 (55) |
|
| |
| Native English-speaking, N (%) | 284 (81) |
|
| |
| Race/Ethnicity, N (%) | |
| White | 181 (55) |
| Black | 68 (21) |
| Hispanic | 64 (20) |
| Other | 14 (4) |
|
| |
| Education, N (%) | |
| Did not graduate high school | 83 (25) |
| High school graduate | 146 (45) |
| College graduate | 98 (30) |
|
| |
| Income, N (%) | |
| ≤$15,000 | 69 (20) |
| $15,000-$50,000 | 74 (21) |
| ≥$50,000 | 72 (21) |
| Refused/don’t know | 133 (38) |
|
| |
| Insurance, N (%) | |
| Commercial | 168 (51) |
| Medicare | 131 (39) |
| Medicaid/none | 34 (10) |
|
| |
| TNM Stage, N (%) | |
| IA | 118 (34) |
| IB | 43 (12) |
| IIA | 11 (3) |
| IIB | 22 (6) |
| IIIA | 40 (11) |
| IIIB | 35 (10) |
| IV/extensive | 83 (24) |
|
| |
| ECOG Performance Status: Fully Active, N (%) | 173 (50) |
|
| |
| Received Stage-appropriate Treatment, N (%) | 191(54) |
For some characteristics, totals are <352 due to missing responses.
Unadjusted association of Communication and Treatment
The unadjusted associations between communication items and receipt of cancer-directed, stage-appropriate treatment are shown in Table 2. Several items in the treatment and goals of care domain were associated with treatment rates. Participants who felt that their physicians explained to their satisfaction the risks and disadvantages of lung cancer treatment were more likely to undergo treatment (P<0.01). Similarly, treatment was more frequent among those who reported that their doctors discussed their chances of cure (P=0.02) and goals of treatment (P<0.01). Other items in this domain were not associated with treatment rates (P>0.05 for all comparisons).
One item in the provider support domain was associated with cancer-directed, stage-appropriate treatment. Patients who felt that their doctors were warm and friendly were more likely to undergo treatment (P=0.04). None of the items in the domain assessing communication about patient needs was associated with stage-appropriate treatment rates (P>0.05 for all comparisons).
Exploratory Factor Analysis and Structural Equation Modeling
All items assessing patient-provider communication were entered into an exploratory factor analysis. Factor loadings are shown in Table 3. Based on factor loadings and theoretical considerations, the three communication factors selected for SEM were: 1) physician support (comprising 4 items), 2) treatment information (comprising 3 items), and 3) patient symptoms and needs (comprising 2 items).
Table 3.
Exploratory Factor Analysis of Patient-Physician Communication Items
| Communication Items | Factor Loadings | ||
|---|---|---|---|
| 1 | 2 | 3 | |
| Providing Information | |||
| Explained benefits and disadvantages of treatments* | 0.123 | −0.566 | 0.102 |
| Talked about chances of curing cancer | 0.024 | 0.315 | 0.309 |
| Explained what lung cancer is | 0.619 | −0.316 | −0.012 |
| Discussed goals of treatment* | 0.012 | 0.524 | 0.234 |
| Discussed complications of treatment* | −0.006 | 0.545 | 0.163 |
| Physician Support | |||
| Showed they care about me* | 0.946 | 0.004 | −0.004 |
| Was warm and friendly* | 0.966 | 0.023 | 0.036 |
| Used simple language* | 0.775 | −0.135 | −0.001 |
| Encouraged asking questions* | 0.765 | −0.208 | −0.001 |
| Patient Symptoms and Needs | |||
| Discussed emotional symptoms* | 0.010 | 0.102 | 0.700 |
| Discussed physical symptoms | −0.012 | 0.374 | 0.455 |
| Discussed practical needs* | −0.008 | 0.000 | 0.733 |
| Discussed spiritual concerns | −0.008 | −0.173 | 0.792 |
Items included in final structural equation modeling with latent communication factors
After adjusting for race/ethnicity, native language, marital status, income, insurance, comorbidities, lung cancer stage, and performance status, SEM showed that higher scores in the treatment information latent factor were associated with increased probability of receiving cancer-directed, stage-appropriate treatment (estimate=0.59, P=0.004; Figure 1). Conversely, the latent communication factors representing physician support (estimate=0.11, P=0.58) and patient symptoms/needs (estimate=−0.28, P=0.07) were not significantly associated with treatment. The model fit was good with a RMSEA=0.023 and CFI=0.936.
Figure 1.

Structural Equation Model of Communication Factors and Cancer-directed, Stage-Appropriate Treatment
Model adjusted for age, gender, marital status, income, insurance, native language, comorbidities, lung cancer stage and performance status. *Indicates P-value <0.05
Discussion
Prior studies have shown that effective patient-physician communication improves patients’ knowledge and control over treatment decisions.10,11 We found that after adjusting for known determinants of treatment, better perceived communication about lung cancer management and goals of care was associated with increased probability of cancer-directed, stage-appropriate treatment. Other communication domains such as physician support or discussions about patients’ symptoms/needs were not independently associated with treatment rates. Our findings emphasize the importance of physicians’ role in effectively explaining information about treatment goals and options to lung cancer patients while maintaining empathy.
The impact of a new lung cancer diagnosis, compounded by the subsequent staging process and discussion of complex treatment recommendations, can be overwhelming for patients.12 Many patients fail to understand the prognosis and goals of their treatment, and most physicians are unaware of these misunderstandings.1 Additionally, while patients with early-stage lung cancer can be cured by surgical resection, metastatic disease can be only ameliorated with chemotherapy.13 Thus, for patients with advanced disease, physicians need to engage in potentially difficult discussions about goals of care and overall prognosis.2 Unfortunately, most patients do not receive enough information to make informed decisions,14 a factor that may contribute to lack of appropriate treatment with consequent decreased survival and poorer quality of life.
While the literature shows that communication is related to treatment rates,15-17 which domains of communication are most important remains unclear. Cykert et al. showed that lower overall patient-physician communication scores were associated with decreased rates of surgery for lung cancer, but did not evaluate particular communication domains that were related to surgery rates or explore other treatment types.17 Accurately providing information about treatment benefits and risks as well as goals of treatment may increase the likelihood that cancer patients undergo the complex steps needed to stage and treat their disease. In support, we found that the communication domain of providing information about treatment options and goals was associated with receipt of cancer-directed stage appropriate treatment.
Studies have shown that effective communication is correlated with improved health outcomes, may reduce uncertainty, and alleviate patient concerns about treatment.18-21 Specifically, providing information about treatment side effects, extent of the disease, prognosis, and chances of cure can help meet patients’ informational needs.22,23 Additionally, patient satisfaction is influenced by physicians’ ability to exhibit friendly and compassionate behavior,24 and a warm communication style is important in making patients feel comfortable asking questions.25 Prior studies have shown that empathic communication is important for reducing anxiety and fear, providing support and reassurance, improving patient satisfaction, as well as adherence to physician recommendations.26-29 However, we did not find that physician support was associated with increased cancer-directed treatment rates. This lack of association may have been due, in part, to the low variability in physician support items, as most patients in our cohort reported very high levels of physician empathic support. Certainly, a warm communication style is critical for establishing patient rapport and trust, and can help patients modulate their emotions so that they are able to absorb and process information about prognosis and weigh the benefits and burdens of treatment options. However, empathic communication itself may not be sufficient for ensuring that patients undergo treatment.
Consideration of patients’ symptoms, functioning, coping strategies, and social support is key in addressing these important needs that can substantially impact quality of life in lung cancer patients.30-32 Helping patients navigate a complex medical system, facilitating transportation to appointments, ensuring adequate social and/or emotional support can help patients adhere to treatment recommendations. However, we did not find that addressing patients’ symptoms or needs was associated with increased rates of treatment. Perhaps this was due to the low percentage of physicians who discussed practical, spiritual and emotional needs with patients. Alternatively, patients may have already been receiving support from family, friends, social workers, or other non-physician members of the healthcare team. Physicians should nonetheless ensure that the healthcare team addresses these important issues, which have been associated improved treatment adherence in other chronic diseases and in cancer screening practices.33-35
There are some limitations to our study. Communication was measured through patient report, rather than by directly observing and/or recording of patient-physician conversations. However, given that most lung cancer patients interact with multiple different providers during their course of diagnosis, staging and treatment, it would be difficult to directly observe all these encounters to assess patient-physician communication. Thus, a self-reported measure may be more helpful capturing the overall communication process. Furthermore, patients’ perception of how their providers communicate often affects their medical decision-making behaviors.36,37 Although we attempted to enroll patients early in the course of the disease (median time from diagnosis to enrollment was 3 months), some patients may have been interviewed during their treatment course. Thus, we cannot establish a causal link between communication and treatment. We were also not able to assess whether some patients did not receive stage-appropriate therapy due to lack of physician recommendation and we did not take into account comorbidities or performance status when deciding whether or not a patient should have received adjuvant therapy but we did adjust for comorbidities and performance status in the analysis. We recruited lung cancer patients from a single urban area so our results may not be generalizable to other settings. However, we conducted the study at several sites that provide care to a large segment of the community. Our sample had an overrepresentation of patients with early-stage lung cancer, compared to national rates. However, communication processes should be important regardless of disease stage and we controlled for stage in our adjusted analyses. Finally, our sample size may not have been sufficient to detect communication factors that had weaker associations with treatment. Future studies should aim to objectively assess communication prior to treatment decisions to more firmly establish the relationship between communication factors and receipt of cancer treatment.
In summary, we found that perceived communication about benefits, disadvantages and goals of treatment to lung cancer patients was associated with an increased rate of undergoing stage-appropriate, cancer-directed treatment. In contrast, we observed that physician support and communication about patients’ symptoms or needs, while important components of patient-centered care, were not associated with disease-directed treatment. Nevertheless, physician empathy remains critical to supporting patients during decision-making about and throughout cancer treatment. These data highlight the importance of ensuring that clear discussion about treatment goals and options with lung cancer patients occur while maintaining empathy, supporting patient needs and addressing symptoms. Future steps may include specific interventions to improve this important aspect of care.
Supplementary Material
Acknowledgements
We thank Giselle Campos, BA, Amy S. Walker, MA, Andrea Maldonado, BA and Liliana Serrano, BS for their efforts recruiting and interviewing study subjects. We greatly appreciate the thoughtful and critical comments from Judith E. Nelson, MD, JD in discussions about this manuscript.
Funding: The study was supported by the American Cancer Society (RSGT-07-162-01-CPHPS). Jenny Lin was supported by a National Cancer Institute Cancer Prevention and Control Career Development Award (1K07CA166462-01).
Footnotes
Disclosures: Dr. Wisnivesky is a member of the research board of EHE International, has received consulting honorarium from Merck Pharmaceuticals, UBS, and IMS Health, and a research grant from GlaxoSmithKline. All other authors are without any conflicts of interest.
References
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