Skip to main content
Full access
Articles
Published Online: 3 January 2017

Depression Treatment Among Elderly Medicare Beneficiaries With Incident Cases of Cancer and Newly Diagnosed Depression

Abstract

Objective:

Depression treatment can improve the health outcomes of elderly cancer survivors. There is a paucity of studies on the extent to which depression is treated among elderly cancer survivors. Therefore, this study estimated the rates of depression treatment among elderly cancer survivors and identified the factors affecting depression treatment.

Methods:

A retrospective cohort study design was adopted, and data were obtained from the linked Surveillance, Epidemiology and End Results (SEER) and Medicare database. Elderly individuals (≥ 66 years) with incident cases of breast, colorectal, or prostate cancer and newly diagnosed depression (N=1,673) were followed for six months after the depression diagnosis to identify depression treatment (antidepressants only, psychotherapy only, combined treatment with both antidepressants and psychotherapy, and no depression treatment). Chi-square tests and multinomial logistic regressions were used to analyze the factors associated with depression treatment.

Results:

In this study population, 46% received antidepressants only, 27% received no treatment, 18% received combined therapy, and 9% received psychotherapy only. Factors associated with depression treatment included anxiety, the percentage of psychologists at the county level, the number of visits to primary care physicians, ongoing cancer treatment, the presence of other chronic conditions, and race-ethnicity.

Conclusions:

The study findings indicate that two-thirds of cancer survivors received depression treatment in the first six months after depression diagnosis. Our study findings indicate that racial-ethnic disparities in depression treatment persist and competing demands for cancer treatment may take priority over depression care. Also, the availability of psychologists may influence receipt of psychotherapy among cancer survivors.
Depression is a treatable and highly prevalent mental health condition among cancer survivors (1,2). Relief from clinical depression can be achieved with either pharmacotherapy or psychotherapy or a combination of pharmacotherapy and psychotherapy (3). Pharmacotherapy typically consists of antidepressants, such as selective serotonin reuptake inhibitors (SSRIs), serotonin-norepinephrine reuptake inhibitors (SNRIs), tricyclic antidepressants (TCAs), monoamine oxidase inhibitors (MAOIs), and others (for example, mirtazapine and bupropion) (3). Various forms of psychotherapy are used to treat depression, including cognitive-behavioral therapy and problem-solving therapy (3). Clinical practice guidelines have recommended depression treatment for cancer patients (46). These guidelines do not recommend the use of antidepressants over the use of psychotherapy alone or in combination with antidepressants, nor do they recommend one antidepressant over another.
Although depression treatment is recommended to reduce depressive symptoms among cancer survivors, it is not known how depression is treated among elderly persons with cancer in real-world clinical practice settings. Research on treatment of newly diagnosed depression among cancer survivors has not received much attention. In the United States, only two cross-sectional studies examined depression treatment among cancer survivors who sought health care in real-world, clinical practice settings (7,8). Of these two studies, one focused on elderly (age ≥65 years) Medicare beneficiaries with cancer by using data from 2000 to 2005 (7), and another used Medical Expenditures Panel Survey data from multiple years (2006–2008) for adults with both cancer and depression (8). Findings from these studies revealed that an estimated 76% and 84% of elderly cancer survivors, respectively, received any depression treatment. These studies involved cancer survivors with prevalent cases of depression and any type of cancer. These studies did not include cancer-related clinical factors, such as the stage of disease at cancer diagnosis and cancer treatment, which might affect depression treatment. Furthermore, these studies used self-reported data on either antidepressant use or depression diagnosis.
Therefore, the primary objective of this study was to fill the knowledge gap in estimating depression treatment and the factors associated with depression treatment among survivors of breast, colorectal, or prostate cancer with newly diagnosed depression. This study used a retrospective cohort design and data from clinical care encounters and prescription drug claims to analyze depression treatment among cancer survivors with newly diagnosed depression. These cancers were selected because of their high prevalence; they are projected to be the most common types of cancer by 2024.

Conceptual Framework

The expanded behavioral model of health care utilization, the Andersen Behavioral Model, was used to guide the selection of factors that may affect depression treatment (9). According to the model, health services utilization—in this case, depression treatment—is a function of predisposing factors (an individual’s predisposition to utilize the services), enabling factors (factors that enable individuals to use health care services), need factors (an individual’s level of need), personal health practices, and the external environment.

Methods

Study Design

This study utilized a retrospective cohort study design with baseline and follow-up periods. We considered the first observed date of depression diagnosis after cancer diagnosis as an index date. The baseline period was defined as 12 months before the index date, and the follow-up period was defined as six months after the index date. The study was approved by the West Virginia University Institutional Review Board.

Data Sources

The current study linked data from the Surveillance, Epidemiology and End Results (SEER)–Medicare linked files and the Area Health Resource File (AHRF). The SEER program collects data on all incident cases of cancer among persons residing in 18 SEER regions (10). These data are available in the Patient Entitlement and Diagnosis Summary File (PEDSF). This file has information on patients’ demographic characteristics and cancer-related information, such as tumor stage and chemotherapy and radiation therapy provided within four months of cancer diagnosis.
SEER data have been linked to Medicare claims files. Medicare claims files consist of inpatient, outpatient, and prescription drug files. The inpatient file, the Medicare Provider Analysis and Review, provides data from Medicare Part A claims from inpatient hospitalizations and skilled nursing facilities. The outpatient files, the National Claims History files and outpatient claims files, contain data from Medicare Part B claims from institutional and noninstitutional providers. Medicare’s prescription drug file provides data on prescription drug claims for Medicare beneficiaries who are enrolled in Medicare Part D plans.
The AHRF is a publicly available data file provided by the Department of Health and Human Services (11). The AHRF contains county-level information on health facilities, health professions, and socioeconomic and environmental characteristics. We linked the AHRF files to PEDSF files by geographic codes for state and county to derive the percentage of psychologists per county.

Study Population

Identification of cancer survivors.

The study population was composed of elderly cancer survivors (age ≥66 years) who were diagnosed as having incident cases of primary breast, colorectal, or prostate cancer and newly diagnosed depression between 2007 and 2011. Cancer type (breast, colorectal, or prostate) was identified by using the histology codes and primary site variable from the International Classification of Diseases for Oncology, Third Edition.

Cancer survivors with newly diagnosed depression.

We identified cancer survivors with newly diagnosed depression on the basis of the National Committee on Quality Assurance criteria (12). To do so, we first established a depression-free cancer cohort made up of patients who received the incident diagnosis of cancer between April 2007 and December 2011. To identify patients who were newly diagnosed with depression after receiving a cancer diagnosis, we included only patients who were diagnosed as having depression after receiving a cancer diagnosis and who did not have any antidepressant use in the 90 days prior to receiving a depression diagnosis. We used a validated algorithm developed by the Centers for Medicare and Medicaid Services (CMS) Chronic Conditions Data Warehouse (CCW) to identify depression (13) by using ICD-9-CM codes 296.2, 296.3, 298.0, 300.4, 309.1, and 311.0. These codes are widely used in the literature to identify depression diagnoses among Medicare beneficiaries (1,7,14).

Inclusion and exclusion criteria.

We included only individuals with incident cases of primary cancer and only if the cancer stage at diagnosis was known, if the diagnosis was not identified by autopsy or by death certificate, and if the individual was alive during the follow-up period and was 66 years old or older at the time of cancer diagnosis (N=217,528). Because the focus of the study was depression treatment, we restricted our study population to individuals who had been diagnosed as having depression between 2007 and 2011 (N=18,347). Of these individuals, 4,403 developed depression in the 12-month follow-up period after cancer diagnosis. We required that all individuals have continuous enrollment in Medicare Parts A and B during the observation period (beginning 12 months before and ending six months after the depression diagnosis) (N=3,160). We also required continuous enrollment in Medicare Part D for six months after the diagnosis of depression so that we could identify depression treatment in the follow-up period (N=1,889). We excluded individuals with bipolar disorder. The final study population consisted of 1,673 elderly Medicare beneficiaries with newly diagnosed depression and an incident case of breast, colorectal, or prostate cancer. [Details about the analytical process involved in population selection are available in an online supplement to this article.]

Dependent Variable: Depression Treatment

We identified depression treatment during the first six months after depression diagnosis. Antidepressant use was derived from Medicare Part D claims by using the National Drug Codes and generic names. Antidepressants included SSRIs, SNRIs, TCAs, MAOIs, and others (for example, mirtazapine and bupropion). Cancer survivors with at least one prescription for antidepressants were considered to have used antidepressants. Psychotherapy visits were derived from Medicare outpatient claims by using the Current Procedural Terminology codes. Cancer survivors with at least one psychotherapy visit were considered to have received psychotherapy.
On the basis of antidepressant prescriptions and psychotherapy visits, depression treatment was categorized into four mutually exclusive categories: antidepressants only (at least one prescription for antidepressants and no psychotherapy visits), psychotherapy only (at least one psychotherapy office visit and no prescriptions for antidepressants), both antidepressants and psychotherapy (at least one prescription for antidepressants and at least one psychotherapy visit), and no treatment (neither antidepressants nor psychotherapy).

Independent Variables

Predisposing factors included age in years at cancer diagnosis and race. Enabling factors consisted of marital status; number of visits to primary care physicians (PCPs); cancer type (women with breast cancer, women with colorectal cancer, men with colorectal cancer, and men with prostate cancer); stage at cancer diagnosis (categorized using American Joint Committee on Cancer grouped staging); and cancer treatment with chemotherapy, radiation therapy, radiation therapy, or surgery. Because cancer is often considered a dominant condition and cancer treatment after depression diagnosis may compete with depression care, we categorized cancer treatment into three groups: cancer treatment received before depression diagnosis; cancer treatment received at the time of or after depression diagnosis, and no cancer treatment.
Need factors comprised chronic conditions, which were selected on the basis of the framework of the multiple chronic conditions working group (15). The following chronic conditions were used: Alzheimer's disease and related disorders (ADRD), anxiety, cardiovascular conditions (diabetes, heart disease, hyperlipidemia, hypertension, and stroke), musculoskeletal conditions (arthritis and osteoporosis), and respiratory conditions (asthma and chronic obstructive pulmonary disorder. We identified these conditions on the basis of a validated algorithm developed by the CMS CCW (13); according to this algorithm, chronic conditions were identified if individuals had, at least, one inpatient visit or two outpatient visits during the baseline period. External environment factors included the county-level percentage of psychologists and the SEER region. We also controlled for year of cancer diagnosis by grouping the year of diagnosis into two groups: 2007–2009, the period when FDA issued a black box warning about the risk of suicides with antidepressant use (16,17), and 2010–2011, the period when published articles reported the association between antidepressants and the risk of new-onset diabetes (18).

Statistical Analysis

We used chi-square tests and multinomial logistic regressions to examine the unadjusted differences in independent variables by depression treatment categories. We used multivariable multinomial logistic regressions to examine the adjusted association between the independent variables and depression treatment categories. In all these models, the reference group for the dependent variable was no depression treatment. All statistical analyses were carried out in SAS, version 9.4.

Results

The study population is described in Table 1 and Table 2. The study population consisted of 1,673 elderly fee-for-service Medicare beneficiaries with incident cases of breast, colorectal, or prostate cancer who had been newly diagnosed as having depression after receiving a cancer diagnosis. In this study population, 45% were women with breast cancer, 23% were women with colorectal cancer, 10% were men with colorectal cancer, and 22% were men with prostate cancer. We found that 35% were diagnosed as having early-stage cancers (stage 0 or I), 7% were diagnosed at an advanced stage (stage IV), 68% received cancer treatment before receiving a depression diagnosis, 21% received cancer treatment at the time of or after receiving a depression diagnosis, and 11% did not receive cancer treatment. A total of 27% did not receive any depression treatment, 46% received antidepressants only, 9% received psychotherapy only, and 18% received both antidepressants and psychotherapy.
TABLE 1. Characteristics of 1,673 elderly fee-for-service Medicare beneficiaries who were newly diagnosed with depression after receipt of a diagnosis of breast, colorectal, or prostate cancera
VariableN%
Predisposing factor  
 Age  
  66–6943426
  70–7443026
  75–7934220
  ≥8046728
 Race-ethnicity  
  White1,39383
  African American1459
  Other1358
Enabling factor  
 Marital status 
  Married64939
  Never married17711
  Separated, divorced, widowed, or unknown84751
 Primary care visits (M±SD)10.18±10.1 
 Cancer type  
  Breast75245
  Colorectal, women38123
  Colorectal, men16910
  Prostate37122
 Cancer stage  
  0–I58635
  II72043
  III24915
  IV1187
 Cancer treatment 
  Before depression diagnosis1,13768
  After depression diagnosis3582
  No treatment17811
Need factor  
 Cardiovascular conditions 
  Yes1,46988
  No20412
 Musculoskeletal conditions 
  Yes54333
  No1,13068
 Respiratory conditions  
  Yes37923
  No1,29477
 ADRDb  
  Yes21913
  No1,45487
 Anxiety  
  Yes43726
  No1,23674
External environment  
 County-level percentage of psychologists (M±SD)2.37±4.2 
 Region  
  Northeast32319
  South45727
  North Central21213
  West68141
 Year of cancer diagnosis  
  2007–200995457
  2010–201271943
a
Source: Surveillance, Epidemiology and End Results–Medicare Database, 2007–2012. Patients were continuously enrolled in Medicare Part A and B during the 12 months before the diagnosis of depression and were continuously enrolled in Medicare Parts A, B, and D for six months following the depression diagnosis. Patients who died during the 18-month observation period were excluded.
b
Alzheimer's disease and related disorders
TABLE 2. Characteristics of 1,673 elderly fee-for-service Medicare beneficiaries who were newly diagnosed as having depression after receipt of a diagnosis of breast, colorectal, or prostate cancer, by depression treatment categorya
 TotalAntidepressants onlyPsychotherapy onlyCombined antidepressants and psychotherapyNo treatment   
VariableNN%N%N%N%χ2df 
Total 7644614893081845327  
Predisposing factor   
 Age         8.69
  66–6943420848399821910524  
  70–7443019946368711712429  
  75–793421584623763189829  
  ≥80467199435011922012627  
 Race-ethnicity         38.8***6
  White1,3936674811582521835926  
  African American1454128231640284128  
  Other135564213716125339  
Enabling factor   
 Marital status         28.7***6
  Married649305474161121719129  
  Never married1776436261549283822  
  Separated, divorced, widowed, or unknown8473954781101471722426  
 Primary care visits (M±SD) 9.2±9.1 13.1±13.8 12.3±11.8 9.41±8.6 ***b 
 Cancer type         12.49
  Breast752369495881301719526  
  Colorectal, women381165434011711910528  
  Colorectal, men1696740221331184929  
  Prostate37116344288762110428  
 Cancer stage         4.912
  0–I586276475091061815426  
  II720321455981371920328  
  III24911546271147196024  
  IV1185244121018153631  
 Cancer treatment         36.4***6
  Before depression diagnosis1,1375074510692272029726  
  After depression diagnosis35819454175411210630  
  No treatment1786335251440235028  
Need factor   
 Cardiovascular conditions         11.3*3
  Yes1,4696914712792922035924  
  No2048441321636185225  
 Musculoskeletal conditions         5.93
  Yes543243454891212213124  
  No1,13052146115102242027024  
 Respiratory conditions         10.3*3
  Yes37917446471279217921  
  No1,2945994610182762131825  
 ADRDc         55.7***3
  Yes2198338331571323215  
  No1,4546814711582371642129  
 Anxiety         13.7**3
  Yes43720547256992310825  
  No1,23655945123102091734528  
External environment   
 County-level percentage of psychologists (M±SD) 2.0±3.9 3.1±4.9 2.8±4.6 2.5±4.2 ***b 
 Region         59.3**9
  Northeast32312138431389287022  
  South45724353245601313029  
  North Central2129243231149234823  
  West681308455891101620530  
 Year of cancer diagnosis         19.43
  2007–2009954445478791671825527  
  2010–2012719319446191412019828  
a
Source: Surveillance, Epidemiology and End Results–Medicare Database, 2007–2012. Patients were continuously enrolled in Medicare Part A and B during the 12 months before the diagnosis of depression and were continuously enrolled in Medicare Parts A, B, and D for six months following the depression diagnosis. Patients who died during the 18-month observation period were excluded.
b
The three asterisks with no chi square was used to indicate significant differences in the mean of that variable among the depression treatment groups.
c
Alzheimer's disease and related disorders
***
p<.001, **.001≤p<.01, *.01≤p<.05
Table 3 presents the significant adjusted odds ratios (AORs) and 95% confidence intervals from multinomial logistic regressions examining the likelihood of depression treatment in the study population. The results were consistent with the unadjusted analyses. We found significant associations between a predisposing factor (race) and use of antidepressants only. Compared with whites, African Americans were less likely to receive antidepressants than to receive no depression treatment (AOR=.44). We also found a significant association between psychotherapy use and enabling factors (marital status, PCP visits, and cancer treatment), need factors (ADRD, anxiety, and cardiovascular and respiratory conditions), and external environment (county-level percentage of psychologists and region of residence). For example, individuals with a higher number of PCP visits were more likely to use psychotherapy (AOR=1.02). With regard to combined use of antidepressants and psychotherapy, we found a significant association between combined use and a predisposing factor (race), two enabling factors (PCP visits and cancer treatment), a need factor (ADRD), and external environment (county-level percentage of psychologists and region of residence). Of particular interest was the cancer type (see online supplement) . We observed that there were no significant differences in the likelihood of receiving depression treatment among patients with different types of cancer.
TABLE 3. Adjusted odds of receipt of various categories of depression treatment versus no treatment among elderly fee-for-service Medicare beneficiaries who were newly diagnosed as having depression after receipt of a diagnosis of breast, colorectal, or prostate cancera
 Antidepressants onlyPsychotherapy onlyCombined antidepressants and psychotherapy
VariableAORb95% CIAORb95% CIAORb95% CI
Predisposing factor 
 Race-ethnicity (reference: white)      
  African American.44***.27–.701.19.64–2.211.02.61–1.71
  Other.59*.38–.92.49.22–1.06.38**.20–.71
Enabling factor 
 Marital status (reference: married)      
  Never married1.14.71–1.832.33*1.21–4.481.68.98–2.86
  Separated, divorced, widowed, or unknown1.15.87–1.511.57.98–2.501.02.71–1.45
 Primary care visits1.00.99–1.021.02*1.00–1.041.02*1.00–1.04
 Cancer treatment (reference: before depression diagnosis)      
  After depression diagnosis.95.70–1.27.40**.22–.72.51**.34–.79
  No treatment.83.53–1.281.31.72–2.40.90.54–1.51
Need factor 
 Cardiovascular conditions (reference: no)1.04.68–1.61.39*.21–.741.41.75–2.68
 Respiratory conditions (reference: no)1.22.90–1.671.64*1.04–2.581.20.82–1.75
 ADRD (reference: no)c1.53.98–2.402.58**1.44–4.612.94***1.81–4.76
 Anxiety (reference: no).94.71–1.24.48**.29–.801.17.82–1.66
External environment 
 County-level percentage of psychologists (M±SD).99.96–1.021.05*1.00–1.111.05*1.00–1.09
 Region (reference: West)      
  Northeast.99.67–1.462.53**1.42–4.522.48***1.56–3.95
  South1.07.77–1.51.74.39–1.39.84.52–1.34
  North Central1.27.81–1.992.27*1.15–4.512.18**1.26–3.77
a
Patients were continuously enrolled in Medicare Part A and B during the 12 months before the diagnosis of depression and were continuously enrolled in Medicare Parts A, B, and D for six months following the depression diagnosis. Patients who died during the 18-month observation period were excluded. Results are based on multinomial logistic regression.
b
Adjusted odds ratio
c
ADRD, Alzheimer's disease and related disorders
***
p<.001; **.001≤p<.01; *.01≤p<.05

Discussion

In this study, we estimated the rates of depression treatment among elderly cancer survivors with incident cases of breast, colorectal, or prostate cancer who had been newly diagnosed with depression and identified the factors associated with depression treatment. In our study population, one in four cancer survivors did not receive either antidepressants or psychotherapy for depression. This finding is consistent with the only published study of depression treatment rates among elderly Medicare beneficiaries with cancer (7).
We found that African Americans and members of other racial-ethnic minority groups were less likely than whites to receive antidepressants only rather than no treatment. Such racial disparities in use of antidepressants have been documented among elderly Medicare beneficiaries with cancer (7) as well as in the general population (1921). Some studies have attributed the racial-ethnic disparities in antidepressant use to more negative views about the acceptability of receiving antidepressants treatment (22), different preferences for treatment, and questions about the effectiveness of antidepressants treatment among patients from racial-ethnic minority groups (23).
Psychotherapy only or combined use of antidepressants and psychotherapy was associated with many factors. Cancer survivors with a higher number of PCP visits were more likely to receive psychotherapy and a combination of antidepressants and psychotherapy compared with those with a lower number of PCP visits. This finding suggests that PCPs may play an important role in referring cancer survivors to mental health care providers for psychotherapy treatment. A national survey of physicians conducted by the Cancer Care Outcomes Research and Surveillance Consortium has shown that PCPs are more involved than oncologists in the detection and treatment of depression among cancer survivors—50% of the PCPs surveyed were involved in detection and treatment of depression among cancer survivors compared with 18% of oncologists (24).
As expected, we found that persons who had initiated cancer treatment after receiving a depression diagnosis were less likely to receive psychotherapy compared with persons who had initiated cancer treatment before receiving a depression diagnosis. Because psychotherapy sessions involve face-to-face visits with a mental health provider, cancer survivors may not be able to receive psychotherapy while cancer treatment is ongoing. These findings provide some evidence to support the theory of competing demands for care, which suggests that cancer is a dominant condition and may “eclipse the management of other health conditions” (25). We also observed that use of psychotherapy and use of a combination of antidepressants and psychotherapy were significantly associated with a higher county-level percentage of psychologists, which is consistent with the published literature (26).
Furthermore, we found that many coexisting chronic conditions were associated with depression treatment among cancer patients. Cancer survivors with respiratory conditions were more likely than cancer survivors without those conditions to receive psychotherapy treatment. This is not surprising because psychotherapy is a standard part of the rehabilitation therapy regimen for treating respiratory conditions (27,28). This study also found that individuals with ADRD were more likely to receive psychotherapy and a combination of antidepressants and psychotherapy compared with those without ADRD. Cognitive therapy and other psychotherapies are some treatment modalities that are used to improve ADRD symptoms.
Furthermore, the preexisting cardiovascular conditions were negatively associated with psychotherapy treatment. The Canadian Cardiac Randomized Evaluation of Antidepressant and Psychotherapy Efficacy (CREATE) trial, a randomized clinical trial of depression treatment among adults with cardiovascular diseases, did not demonstrate the efficacy of psychotherapy in improving depression among patients with cardiovascular conditions (29). A Cochrane review of psychotherapy for patients with cardiovascular disease did not find strong evidence that psychotherapies improve cardiovascular outcomes (30). Therefore, we speculate that physicians may not recommend psychotherapy for cancer patients with cardiovascular diseases because of a lack of robust evidence on cardiovascular-related outcomes.
This study has filled a knowledge gap by estimating the rates of various categories of depression treatment among individuals with newly diagnosed depression and incident cases of breast, colorectal, or prostate cancer and by identifying the factors associated with depression treatment. The study made unique contributions to the nascent literature on depression care among cancer survivors. It must be noted that neither type nor stage of cancer was associated with depression treatment once depression had been diagnosed, suggesting that detecting depression and diagnosing depression are critical to depression management among cancer survivors. Future research may need to investigate the impact of Part D coverage on depression treatment. Research in this area can inform policy efforts to achieve universal coverage for prescription drugs, regardless of a patient’s ability to pay.
This study’s findings must be interpreted in the context of its advantages and limitations. One advantage of the study was that it used linked cancer registry and claims data in which we were able to follow a large cohort of cancer survivors and to control for a comprehensive list of factors that may affect the rates of depression treatment. Another advantage was that we used Medicare Part D to identify antidepressant treatment rates. This study also had some limitations. Because the study population was restricted to fee-for-service Medicare beneficiaries who were residing in SEER regions and who had Medicare part D coverage, the study findings are not generalizable to all Medicare beneficiaries. Also, given that our study population was selected with very strict inclusion criteria and required continuous enrollment in Medicare Parts A, B, and D during the observation period, the number of beneficiaries with newly diagnosed depression in our study was lower than the number reported in other studies. Although other effective treatments for depression exist, such as electroconvulsive therapy, we focused on antidepressants, psychotherapy, and the combination of both because they are the most commonly used depression treatments. Furthermore, our definition of depression treatment may not represent adequate depression treatment. Although we captured many variables that may be associated with the rates of depression treatment, some important variables, such as patient preferences, were lacking. In addition, the reasons for not receiving depression treatment were not explored in this study.

Conclusions

Even when depression is successfully diagnosed in the oncology setting, a treatment gap exists. One-fourth of cancer survivors with newly diagnosed depression did not receive any depression treatment. Therefore, greater effort is needed to ensure that cancer survivors are receiving depression treatment, especially cancer survivors who initiated cancer treatment after receiving a depression diagnosis, given that competing demands for treatment can impede depression care. Depression care can be improved by reducing racial disparities, increasing contact among cancer survivors with primary care providers, and increasing the supply of mental health services.

Supplementary Material

File (appi.ps.201600190.ds001.pdf)

References

1.
Jayadevappa R, Malkowicz SB, Chhatre S, et al: The burden of depression in prostate cancer. Psycho-Oncology 21:1338–1345, 2012
2.
Rane PW: Burden of Colorectal Cancer Among the Elderly Medicare Beneficiaries in West Virginia: A Comparative Analysis With National Data. Morgantown, West Virginia University, 2014
3.
Practice Guideline for the Treatment of Patients With Major Depressive Disorder. Arlington, Va, American Psychiatric Association, 2010
4.
Rodin G, Lloyd N, Katz M, et al:. The treatment of depression in cancer patients: a systematic review. Support Care Cancer 15:123–136, 2007
5.
Howell D, Keller-Olaman S, Oliver T, et al: A Pan-Canadian Practice Guideline: Screening, Assessment and Care of Psychosocial Distress (Depression, Anxiety) in Adults With Cancer. Toronto, Canadian Partnership Against Cancer (Cancer Journey Action Group) and the Canadian Association of Psychosocial Oncology, 2010
6.
Andersen BL, DeRubeis RJ, Berman BS, et al: Screening, assessment, and care of anxiety and depressive symptoms in adults with cancer: an American Society of Clinical Oncology guideline adaptation. Journal of Clinical Oncology 32:1605–1619, 2014
7.
Findley PA, Shen C, Sambamoorthi U: Depression treatment patterns among elderly with cancer. Depression Research and Treatment, 2012 (doi 10.1155/2012/676784)
8.
Rane PB, Sambamoorthi U, Madhavan S: Depression treatment in individuals with cancer: a comparative analysis with cardio-metabolic conditions. Health Psychology Review 1:e2, 2013
9.
Andersen RM: Revisiting the behavioral model and access to medical care: does it matter? Journal of Health and Social Behavior 36:1–10, 1995
10.
Seer 18 Registries; in Surveillance, Epidemiology and End Results (SEER) Registry Groupings for Analyses. Rockville, Md, National Cancer Institute, 2015. http://seer.cancer.gov/registries/terms.html
11.
Area Health Resources File. Rockville, Md, Health Resources and Services Administration, 2015. http://ahrf.hrsa.gov/overview.htm
12.
HEDIS 2014 Quality Rating System Measure Technical Specifications. Washington, DC, National Committee for Quality Assurance, 2014. http://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/QualityInitiativesGenInfo/Downloads/2015-QRS-Measure-Technical-Specifications.pdf
13.
Chronic Conditions Algorithms. Baltimore, Centers for Medicare and Medicaid Services, Chronic Conditions Data Warehouse, 2016. https://www.ccwdata.org/web/guest/condition-categories
14.
Zhang AY, Cooper GS: Recognition of depression and anxiety among elderly colorectal cancer patients. Nursing Research and Practice, 2010 (doi 10.1155/2010/693961)
15.
Goodman RA, Posner SF, Huang ES, et al: Defining and measuring chronic conditions: imperatives for research, policy, program, and practice. Preventing Chronic Disease, 2013 (doi 10.5888/pcd10.120239)
16.
Crumpacker DW: Suicidality and antidepressants in the elderly. Proceedings (Baylor University Medical Center) 4:373–377, 2008
17.
Szanto K, Gildengers A, Mulsant BH, et al: Identification of suicidal ideation and prevention of suicidal behaviour in the elderly. Drugs and Aging 19:11–24, 2002
18.
Bhattacharjee S, Bhattacharya R, Kelley GA, et al: Antidepressant use and new-onset diabetes: a systematic review and meta-analysis. Diabetes/Metabolism Reviews 29:273–284, 2013
19.
González HM, Croghan T, West B, et al: Antidepressant use in black and white populations in the United States. Psychiatric Services 59:1131–1138, 2008
20.
Jimenez DE, Cook B, Bartels SJ, et al: Disparities in mental health service use of racial and ethnic minority elderly adults. Journal of the American Geriatrics Society 61:18–25, 2013
21.
Alegría M, Chatterji P, Wells K, et al: Disparity in depression treatment among racial and ethnic minority populations in the United States. Psychiatric Services 59:1264–1272, 2008
22.
Cooper LA, Gonzales JJ, Gallo JJ, et al: The acceptability of treatment for depression among African-American, Hispanic, and white primary care patients. Medical Care 41:479–489, 2003
23.
Givens JL, Houston TK, Van Voorhees BW, et al: Ethnicity and preferences for depression treatment. General Hospital Psychiatry 29:182–191, 2007
24.
Klabunde CN, Ambs A, Keating NL, et al: The role of primary care physicians in cancer care. Journal of General Internal Medicine 24:1029–1036, 2009
25.
Rost K, Nutting P, Smith J, et al: The role of competing demands in the treatment provided primary care patients with major depression. Archives of Family Medicine 9:150–154, 2000
26.
Wei W, Sambamoorthi U, Olfson M, et al: Use of psychotherapy for depression in older adults. American Journal of Psychiatry 162:711–717, 2005
27.
Eiser N, West C, Evans S, et al: Effects of psychotherapy in moderately severe COPD: a pilot study. European Respiratory Journal 10:1581–1584, 1997
28.
Huntley A, White AR, Ernst E: Relaxation therapies for asthma: a systematic review. Thorax 57:127–131, 2002
29.
Lespérance F, Frasure-Smith N, Koszycki D, et al: Effects of citalopram and interpersonal psychotherapy on depression in patients with coronary art437ery disease: the Canadian Cardiac Randomized Evaluation of Antidepressant and Psychotherapy Efficacy (CREATE) trial. JAMA 297:367–379, 2007
30.
Whalley B, Rees K, Davies P, et al: Psychological interventions for coronary heart disease. Cochrane Database of Systematic Reviews 8:CD002902, 2011

Information & Authors

Information

Published In

Go to Psychiatric Services
Go to Psychiatric Services

Cover: Untitled, by Sam Francis, 1958. Watercolor on paper. Gift of Udo M. Reinach Estate, The Museum of Modern Art, New York City. ©2017 Sam Francis Foundation, California/Artists Rights Society, New York City. Digital image © The Museum of Modern Art/licensed by SCALA/Art Resource, New York City.

Psychiatric Services
Pages: 482 - 489
PubMed: 28045347

History

Received: 22 April 2016
Accepted: 21 October 2016
Published online: 3 January 2017
Published in print: May 01, 2017

Keywords

  1. Cancer
  2. Depression
  3. Treatment
  4. SEER-Medicare
  5. Elderly

Authors

Details

Monira Alwhaibi, M.S., Ph.D.
Dr. Alwhaibi, Dr. Madhavan, Dr. Bias, Dr. Kelly, and Dr. Sambamoorthi are with the School of Pharmacy, West Virginia University, Morgantown, and Dr. Alwhaibi is also with the School of Pharmacy, King Saud University, Riyadh, Saudi Arabia (e-mail: [email protected]). Dr. Walkup is with the Graduate School of Applied and Professional Psychology, Rutgers University, New Brunswick, New Jersey.
Suresh Madhavan, M.B.A., Ph.D.
Dr. Alwhaibi, Dr. Madhavan, Dr. Bias, Dr. Kelly, and Dr. Sambamoorthi are with the School of Pharmacy, West Virginia University, Morgantown, and Dr. Alwhaibi is also with the School of Pharmacy, King Saud University, Riyadh, Saudi Arabia (e-mail: [email protected]). Dr. Walkup is with the Graduate School of Applied and Professional Psychology, Rutgers University, New Brunswick, New Jersey.
Thomas Bias, Ph.D.
Dr. Alwhaibi, Dr. Madhavan, Dr. Bias, Dr. Kelly, and Dr. Sambamoorthi are with the School of Pharmacy, West Virginia University, Morgantown, and Dr. Alwhaibi is also with the School of Pharmacy, King Saud University, Riyadh, Saudi Arabia (e-mail: [email protected]). Dr. Walkup is with the Graduate School of Applied and Professional Psychology, Rutgers University, New Brunswick, New Jersey.
Kimberly Kelly, M.S., Ph.D.
Dr. Alwhaibi, Dr. Madhavan, Dr. Bias, Dr. Kelly, and Dr. Sambamoorthi are with the School of Pharmacy, West Virginia University, Morgantown, and Dr. Alwhaibi is also with the School of Pharmacy, King Saud University, Riyadh, Saudi Arabia (e-mail: [email protected]). Dr. Walkup is with the Graduate School of Applied and Professional Psychology, Rutgers University, New Brunswick, New Jersey.
Jamie Walkup, Ph.D.
Dr. Alwhaibi, Dr. Madhavan, Dr. Bias, Dr. Kelly, and Dr. Sambamoorthi are with the School of Pharmacy, West Virginia University, Morgantown, and Dr. Alwhaibi is also with the School of Pharmacy, King Saud University, Riyadh, Saudi Arabia (e-mail: [email protected]). Dr. Walkup is with the Graduate School of Applied and Professional Psychology, Rutgers University, New Brunswick, New Jersey.
Usha Sambamoorthi, Ph.D.
Dr. Alwhaibi, Dr. Madhavan, Dr. Bias, Dr. Kelly, and Dr. Sambamoorthi are with the School of Pharmacy, West Virginia University, Morgantown, and Dr. Alwhaibi is also with the School of Pharmacy, King Saud University, Riyadh, Saudi Arabia (e-mail: [email protected]). Dr. Walkup is with the Graduate School of Applied and Professional Psychology, Rutgers University, New Brunswick, New Jersey.

Competing Interests

The authors report no financial relationships with commercial interests.

Funding Information

This study was supported by a grant from the Research Center, Center for Female Scientific and Medical Colleges, Deanship of Scientific Research, King Saud University.

Metrics & Citations

Metrics

Citations

Export Citations

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

For more information or tips please see 'Downloading to a citation manager' in the Help menu.

Format
Citation style
Style
Copy to clipboard

View Options

View options

PDF/EPUB

View PDF/EPUB

Login options

Already a subscriber? Access your subscription through your login credentials or your institution for full access to this article.

Personal login Institutional Login Open Athens login
Purchase Options

Purchase this article to access the full text.

PPV Articles - Psychiatric Services

PPV Articles - Psychiatric Services

Not a subscriber?

Subscribe Now / Learn More

PsychiatryOnline subscription options offer access to the DSM-5-TR® library, books, journals, CME, and patient resources. This all-in-one virtual library provides psychiatrists and mental health professionals with key resources for diagnosis, treatment, research, and professional development.

Need more help? PsychiatryOnline Customer Service may be reached by emailing [email protected] or by calling 800-368-5777 (in the U.S.) or 703-907-7322 (outside the U.S.).

Media

Figures

Other

Tables

Share

Share

Share article link

Share