Relationship between depressive symptom severity and emergency department use among low-income, depressed homebound older adults aged 50 years and older
© Choi et al.; licensee BioMed Central Ltd. 2012
Received: 20 June 2012
Accepted: 21 December 2012
Published: 26 December 2012
Previous research found a high prevalence of depression, along with chronic illnesses and disabilities, among older ED patients. This study examined the relationship between depressive symptom severity and the number of ED visits among low-income homebound older adults who participated in a randomized controlled trial of telehealth problem-solving therapy (PST).
The number of and reasons for ED visits were collected from the study participants (n=121 at baseline) at all assessment points—baseline and 12- and 24-week follow-ups. Depressive symptoms were measured with the 24-item Hamilton Rating Scale for Depression (HAMD). All multivariable analyses examining the relationships between ED visits and depressive symptoms were conducted using zero-inflated Poisson regression models.
Of the participants, 67.7% used the ED at least once and 61% of the visitors made at least one return visit during the approximately 12-month period. Body pain (not from fall injury and not including chest pain) was the most common reason. The ED visit frequency at baseline and at follow-up was significantly positively associated with the HAMD scores at the assessment points. The ED visit frequency at follow-up, controlling for the ED visits at baseline, was also significantly associated with the HAMD score change since baseline.
The ED visit rate was much higher than those reported in other studies. Better education on self-management of chronic conditions, depression screening by primary care physicians and ED, and depression treatment that includes symptom management and problem-solving skills may be important to reduce ED visits among medically ill, low-income homebound adults.
ClinicalTrials.gov Identifier: NCT00903019
KeywordsHomebound older adults Depression Emergency department
Older adults in North America use emergency departments (EDs) at a higher rate than younger adults [1–6]. Previous studies also found that a significant proportion of older adults released from an ED make return visits and return frequently [7, 8]. Common diagnoses among older ED patients included injuries caused by falls; acute cerebrovascular accidents; infections (including pneumonia, bronchitis, and urinary tract infections), abdominal disorders, and dehydration [1, 3]. Chronic illnesses—especially cardiac, respiratory, and diabetic diseases—and high levels of comorbidities, including cognitive impairment and depression, and disabilities are significant predictors of ED visits among older adults [1–4, 7–13]. In addition to these clinical characteristics, being Black, having a low income and Medicaid coverage, being uninsured, and/or not having a primary care physician (PCP) were associated with a higher level of ED visits [4, 14]. However, compared to younger ones, older ED patients more often had a PCP and were referred to the ED by their PCP .
Compared to their nondepressed peers, depressed older adults tend to use both ambulatory and inpatient healthcare services at a significantly higher rate even after adjusting for chronic medical illness, and their high rates of ED visits and return visits have been well documented [7, 9, 11, 15–18]. Depression in older adults especially with chronic medical conditions can result in increased numbers of ED visits because depression (1) tends to amplify both symptoms of the physical illness and physical symptoms, including pain and discomfort, associated with other body organ systems; (2) has been shown to adversely impact self-management/self-care of chronic illness by its adverse effect on memory, energy, sense of self-efficacy, and adherence to medication, diet, and exercise regimens; and (3) adversely affects satisfaction with care and may add a degree of urgency to the pursuit of help [19, 20]. Increased severity of medical illness could also lead to increased symptoms of depression, and untreated depression or worsening depressive symptoms may mimic or exacerbate the somatic symptoms associated with other chronic medical conditions . Conversely, treated depression or reduced depressive symptoms may contribute to positive health perceptions and a decrease in ED visits.
Despite the high volume of extant research on depressed older adults’ ED visits, few studies examined the longitudinal relationship between depressive symptoms and the frequency of ED visits. The primary aim of the present study was to examine (1) whether depressive symptom severity was associated with the frequency of ED visits at two different points of time among low-income, depressed homebound older adults aged 50 years and older; and (2) whether changes in depressive symptom severity overtime was associated with the changes in the frequency of ED visits and return visits. The older adults’ self-reported reasons for their ED visits were also presented. The study subjects were residents of central Texas in the United States who participated in a randomized controlled trial (RCT) of a short-term psychotherapy—telehealth-delivered or in-person problem-solving therapy (PST) compared to telephone support call—for low-income homebound older adults with moderately severe or severe depressive symptoms at baseline. The longitudinal data on the changes, or lack thereof, in the study subjects’ depressive symptoms and ED visits during the study period offered a great opportunity to examine longitudinal relationship between depressive symptoms and the frequency of ED visits among these older adults who were largely underrepresented in previous research on older adults’ ED use.
According to the 2011 United States census data, of 40 million non-institutionalized adults age 65 years and older, 23.5% (9.2 million) had ambulatory disability/activity limitation and about 10% were considered homebound [21–23]. The rates of major depression and clinically significant depressive symptoms have been found to be twice as high in homebound older adults as in their age peers without mobility impairment [24–27]. Homebound older adults, often suffering from multiple chronic illnesses and depression, are frequent users of intensive and costly healthcare services including rapidly increasing home healthcare services in the United States [23, 28]. Low-income, depressed homebound older adults are especially likely to be frequent users of EDs, given their precarious physical and functional health conditions comorbid with depression and other multiple life stressors associated with lack of financial resources. These older adults tend to be socially isolated and have difficulty managing their physical and mental health conditions due to many other competing life demands (e.g., housing issues, financial worries, family relationship issues) and, oftentimes, lack of information and knowledge needed for treatment adherence and self-management of their chronic diseases [29, 30].
Employing Andersen’s behavioral model of health services use  as the conceptual framework, the study hypotheses were as follows: (H1) higher depressive symptoms at baseline would be associated with a higher frequency of ED visits during the six months prior to baseline; (H2) higher depressive symptoms at 24-week follow-up would be associated with a higher frequency of ED visits during the 24 weeks after baseline; and (H3) reduced depressive symptoms 24 weeks after baseline would be significantly associated with a lower frequency of ED visits during that period, controlling for baseline number of ED visits and predisposing, enabling, and other need factors.
Setting and participants
Following the definition of “homebound” older adults in Medicare , the term homebound adults in this study referred to older individuals who, due to medical conditions and/or mobility-affecting impairments, cannot freely leave their home and who require help in doing so. Case managers at a large Meals on Wheels program and other social service agencies serving low-income, homebound adults age 50 years and older in central Texas referred to the project those who scored 10 or higher on the PHQ-9 [33, 34] or showed other signs of depression. We included the 50–64 age group since our previous study  found that a larger proportion of homebound individuals in this age group than those in the 65+ age group suffered from depression and were frequent users of healthcare services. Referred individuals who provided informed consent were administered the 24-item Hamilton Rating Scale for Depression (HAMD) and the DSM-IV-TR diagnostic interviews for depression. For consistency with other RCTs of depressed older adults in primary care or home healthcare settings in the United States [36–38], those whose HAMD scores were 15 or higher were included in the RCT. The mean 24-item HAMD score for home healthcare patients with major depression at baseline was about 15 . In the multisite, randomized trial known as PROSPECT (Prevention of Suicide in Primary Care Elderly: Collaborative Trial), the lower bound of the 90% confidence interval of the 24-item HAMD for patients with major depression was also about 15 [37, 38].
The exclusion criteria were (1) high suicide risk; (2) dementia (assessed with the Mini-Cog ); (3) bipolar disorder; (4) 12-month or lifetime psychotic symptoms or disorder; (5) presence of co-occurring alcohol and/or other addictive substance abuse; and (6) current involvement in psychotherapy. Those who had been on antidepressants more than two months but who showed significant depressive symptoms were not excluded. Written informed consent, approved by the first author’s institutional review board, was obtained from each participant after the study procedures had been fully explained and before any screening and baseline assessments were conducted.
Of 186 referrals received during the 24-month recruitment and enrollment period, 124 met the inclusion criteria, and 121 who agreed to participate in the study were randomly assigned to three groups—telehealth-delivered PST; in-person PST and telephone support calls (attention control) with each intervention consisting of six weekly sessions. Of the 121 who began participation in the study, 14 (11.6%) dropped out during the intervention phase and 11 (9.1%) dropped out during the follow-up period. Fifteen participants did not complete their 12-week follow-up assessment and 25 did not complete their 24-week follow-up assessment. Attrition was due mostly to deteriorating health that resulted in hospitalization, nursing home placement, and death; however, the baseline demographic, family support, and clinical characteristics (including depressive symptom severity and number of chronic medical illnesses); intervention group assignment; and self-reported frequency of ED visits of the dropouts (n = 25) did not differ significantly from the characteristics of those who completed the 24-week follow-up (n = 96).
The protocol for this research was approved by the Institutional Review Board of the University of Texas at Austin, and the research was carried out in compliance with the United States National Institute of Health regulations, policy, and guidelines for human subject research (http://grants.nih.gov/grants/policy/hs/hs_policies.htm).
The number of and reasons for ED visits were collected from the participants at all assessment points—baseline and 12- and 24-week follow-ups. At baseline, they were asked to report ED visits during the preceding six months. At 12-week follow-up, they reported the ED visits since baseline, and at 24-week follow-up, they reported the ED visits since the 12-week follow-up. The sum of the ED visits reported at these two follow-up assessments was the frequency of ED visits between baseline and 24-week follow-up. One study  of self-reported health services use among urban older adults (≥60 years) found that 28.1% of those who had visited an ED in the preceding 12 months failed to report the episode recorded in an electronic medical record system, but the study could not identify any patient characteristics associated with the underreport. In the present study, we asked the participants about their ED visits in the preceding six (at baseline) or three (at follow-ups) months, allowing them relatively short periods of recall. At baseline, a consistent pattern we found was that those who had not visited the ED or who had visited it only once were highly confident of their recall accuracy, while some of those who had visited the ED multiple times had difficulty recalling the exact numbers (e.g., “I am not sure if it was three or four times”). With respect to the ED visit data at follow-ups, we cross-referenced them with the PST or telephone support call progress notes (weekly sessions plus monthly booster calls) in which any ED visit was recorded. Only one discrepancy from cross-referencing was found, and it was handled by calling the participant for clarification.
These were gender, age groups (50–59, 60–69, and 70+), and race/ethnicity (African American, Hispanic, and non-Hispanic White).
These were Medicaid coverage (yes = 1, no = 0) and family support, which was measured by the 6-item family support scale of the Lubben Social Network Scale Expanded  (LSNS-E). This scale has been frequently used to measure the size of older adults’ social support networks and their perceived and actual levels of social support from these networks. Cronbach’s α for the study participants was .73 at baseline.
Depressive symptoms as a need factor
Depressive symptoms were measured with the 24-item HAMD. It consists of the GRID-HAMD-21 structured interview guide  augmented with three additional items assessing feelings of hopelessness, helplessness, and worthlessness, with specific probes and follow-up questions developed by Moberg et al. . We treated depressive symptoms as a need factor, because depression, as discussed, tends to amplify both symptoms of the physical illness and physical symptoms, adversely impact self-management of chronic illness, and adversely affect satisfaction with care and may add a degree of urgency to the pursuit of help.
Other need factors
The number of diagnosed chronic medical conditions was reported by the participants with these questions at baseline: “Have you ever been diagnosed by a healthcare professional as having any of the following conditions?” and “Is [the condition] still a problem?” Included conditions were arthritis, hypertension, diabetes, heart disease, stroke, lung disease, cancer, and kidney disease. Only conditions that were still problems were counted. Pain frequency at baseline was measured with two questions: (1) Have you had chronic pain in any part of your body during the past six months? and (2) How would you rate the frequency of your pain on a 10-point scale, with 1 being very infrequently (like once a week or less often) and 10 being all the time? Those who reported having no pain were assigned a score of 0.
All analyses were performed using SAS v. 9.2 (SAS Corp., Cary, NC). Prior to assessing bivariate associations between the frequency of ED visits and participants’ predisposing, enabling, and need characteristics, the probability distributions of the outcomes were assessed. Due to non-normal distributions, robust regression, which is robust to heteroscedastic error and outliers, was used for all group comparisons using SAS PROC ROBUSTREG. H1 and H2 were tested using zero-inflated Poisson regression models using SAS PROC GENMOD, with the frequency of ED visits at baseline and at 24-week follow-up, respectively, as the dependent variable, and with predisposing, enabling, and need factors (depression severity at baseline or 24-week follow-up and the number of medical conditions and pain frequency at baseline) evaluated as covariates. H3 was also tested using zero-inflated Poisson regression analysis, with the ED visits at 24-week follow-up as the dependent variable and the difference between the 24-week follow-up HAMD score and the baseline HAMD score as the predictor variable, controlling for the baseline HAMD score and other covariates. Prior to implementing the models, we assessed possible overdispersion of the count outcome data by testing whether the negative binomial dispersion parameter was significantly different from zero. Because it was not, we used a Poisson, rather than a negative binomial, distribution to model the count outcome variables.
Because there were a large number of variables relative to the sample size and all the variables could potentially be included in both the logistic and count portions of the model, a variable reduction strategy was employed. Guidelines provided by Hosmer and Lemeshow  were used to minimize the number of variables included in the logistic portion of the model, which is particularly sensitive to overparameterization. In order to avoid inflated standard errors and numerically unstable results, Hosmer and Lemeshow recommend having at least 10 cases per event, which limited us to seven variables (69 participants had ED visits during the pretest period) and two variables (23 participants had ED visits during the pretest period) for the posttest period. Each of these potentially confounding variables was evaluated using the following steps: (a) bivariate relationships between the covariates and the outcomes were examined, (b) variables with p values below α = .25 in the first step were retained, and (c) retained variables were included in a multivariable model and a minimally adequate set of covariates was established using a likelihood ratio test and the Akaike information criterion (AIC), using guidelines from Burnham and Anderson . Variables below the α = .25 in the count portion of the model and the full and reduced model were compared using a likelihood ratio test and the AIC to assure that the more parsimonious model was indeed a better fit to the data.
Demographic and clinical characteristics of participants at baseline (N = 121)
Age, mean (SD)
Age group (n, %)
Gender (n, %)
Race/ethnicity (n, %)
SCID diagnosis (n, %)
Major Depressive disorder
Depressive disorder, NOS
Living arrangement (n, %)
Not living alone
Family income (n, %)
Insurance coverage (n, %)
Private insurance (past employer-provided)
Veterans administration insurance
Depression severity (HAMD score), mean (SD)
No. of diagnosed medical conditions, mean (SD)
Chronic pain (n, %)
RCT group (n, %)
Telephone support call
ED visits, depressive symptoms, and reasons
ED visit frequency reported at baseline and follow-up and HAMD score
6 months prior to baseline (n=121)
24-weeks after baseline (n=96)
ED visit pattern and HAMD score change (n=96)
ED visit pattern
Baseline HAMD Scores
24-week-follow-up HAMD score
HAMD score change from baseline
No visit at both times
Visit at baseline only
Visit at follow-up only
Visit at both times
Self-reported reasons for ED visits (n, % of all visits)
Total number of visits
Body pain not from fall injury and not chest pain
Injury from fall
High blood pressure
Abdominal pain/intestinal trouble
Urinary tract infection
Got sick—Not feeling well
Cancer-related problems (burning, breathing, and vomiting)
Leg swelling/would not move
Low blood count
Popped vein in scrotum
Association between ED visits and depressive symptoms: multivariable analysis
Association between depressive symptom severity and ED visit frequency: multivariable analysis results
No. of medical conditions
Baseline HAMD score
24-week follow-up HAMD
HAMD score changes—
baseline to 24 weeks1
-2 Likelihood ratio χ2
Model p value
The ED visit frequency reported at follow-up was significantly positively associated with the follow-up HAMD score, female gender, 50–59 years of age, and pain frequency and it was marginally significantly associated with being in the 60–69 age group. The ED visit frequency at follow-up was also significantly associated with the HAMD score change since baseline, with lower level of reduction or higher level of increase in HAMD scores predicting higher ED visit frequency.
Depression is a serious problem among older adults who are homebound due to disability [24–27]. Low-income homebound persons are even more vulnerable to depression due to multiple life stressors associated with financial hardship . In this study, we examined longitudinal relationship between depressive symptoms and the frequency of ED visits among low-income homebound older adults, aged 50 years and older, who participated in an RCT of a short-term depression treatment. Since the ED visit data were collected from the participants at three assessment points, they provided a great opportunity to examine the relationship between ED visits and depressive symptoms over time.
This study found that 67.7% of the subjects (who provided data at both baseline and follow-up) used the ED at least once during the approximately 12-month study period and that 61% of the visitors made at least one return visit during the 12-month period. These are much higher visit and return visit rates than those reported in other studies [2, 6, 7] of older adults’ ED use. Since the subjects of this study were low-income, depressed homebound older adults, their high rate of ED visitation was expected; however, the extremely high rate was still surprising. The self-reported reasons that a significant proportion of high-frequency repeat users visited the ED were for relief of the same symptoms that were pain related (e.g., body pain, stomach pain, chest pain). Another reason for their visits appeared to be due to poor self-care (e.g., breathing problems, high blood pressure, hyperglycemia), suggesting that a significant proportion of these ED visits may have been preventable with more effective routine outpatient care, treatment adherence, and self-management of the symptoms, especially pain. Many older adults did not like going to an ED because it often involved a long wait in a crowded waiting room. Frequent ED visits for ambulatory sensitive care also have significant negative societal impact as ED services are far more costly than outpatient physician visits to the Medicare and Medicaid programs.
The study findings support H1 and H2 in that the ED visit frequency was significantly associated with higher depressive symptoms at both baseline and at 24-week follow-up. As noted [19, 20], depressive symptoms may have mimicked or exacerbated the somatic symptoms associated with other chronic medical conditions and contributed to poor self-management of these medical conditions. These homebound older adults with comorbid multiple medical conditions and depression were also likely to have felt urgency to seek emergency medical care for symptoms that might be managed in a primary care setting. The findings also support H3, which posited the relationship between ED visit frequency at follow-up and HAMD score change since baseline, controlling for baseline depressive symptom severity. In addition to depressive symptom severity, the findings show that the 50–59 age group had significantly more ED visits at both baseline and follow-up than the 70+ age group. The 60–69 group was also a marginally significant factor for higher ED visits. Although all the participants had their PCPs, the lack of Medicare coverage for some in the under-65 group may have limited effective routine outpatient care for their chronic medical conditions. As compared with 100% of the 70+ age group, 73% of the 50–59 age group and 71% of the 60–69 age group had Medicare (p = .006). Further research is needed to identify other factors (e.g., treatment adherence and self-management of symptoms) contributing to higher ED visits among younger age groups.
Contrary to the findings of some previous studies, this study did not find the number of medical conditions (and level of disability) to be a significant correlate of the ED visit. The discrepancy between the previous and the present study findings is likely due to the greater homogeneity of our subjects compared with those in the previous study samples with respect to their physical and functional health and their economic status. Although pain was the most frequently cited reason for making an ED visit, pain frequency was associated with making an ED visit only at follow-up, controlling for predisposing, enabling, and other need factors. Hispanics were more likely than participants of other ethnicities to use the ED at baseline but not at follow-up, which may indicate that their level of self-care knowledge and skills was lower than that of the other participants at baseline. For example, one study  of low-income older Hispanics with diabetes found that those who received diabetes education were less likely to use the ED than those who had not received the education.
The study had a few limitations. First, the self-reported ED visit data were not validated against the subjects’ medical records. Even with possible underreports due to a recall or response bias in self-reports, however, the ED visit rate was much higher than those reported in other studies. Likewise, the reasons for ED use were not validated against the discharge diagnoses. Although self-reported reasons are important in exploring the users’ perception of their need for an ED visit, discharge diagnoses would have helped us understand the true nature of their conditions that brought them to the ED. Second, we chose the 24-item HAMD cutoff score of 15 that was not validated. As described previously, in choosing the cutoff score, we used an empirical approach based on research data from (1) a study of home healthcare patients with major depression that found the mean baseline 24-item HAMD score to be about 15 ; and (2) the PROSPECT study in which the lower bound of the 90% confidence interval of the 24-item HAMD for patients with major depression was also about 15 [37, 38]. Finally, the sample size was too small to generalize the findings to other groups of homebound adults.
Despite these limitations, the study has the following clinical implications: First, repeat ED users who tend to visit the ED for the same reason over time need to be provided with better education on self-management of their chronic conditions, taking into consideration their level of health literacy. Second, given the significant relationship between higher depressive symptoms and ED visit frequency, PCPs and EDs may use ED visits as a cue for depression screening. Third, instituting depression treatment that includes symptom management and problem-solving skills may be important to reduce ED visits among medically ill, homebound adults. Fourth, effective pain management is likely to reduce the need for ED visits among low-income homebound older adults. Clinicians need to educate these older adults about effective pain management strategies and the possible relationship between pain and depressive symptoms. Fifth, further research is needed to identify factors contributing to higher ED use by those who are under 70 years.
Randomized controlled trial
Hamilton Rating Scale for Depression
Primary care physician.
We are grateful to all case managers who referred their clients to the project.
NIMH (R34 MH083872; PI: Choi NG and Co-I: Bruce ML); St. David’s Foundation (PI: Choi NG); and VA HSR&D Houston Center of Excellence (HFP90-020). The views expressed are those of the authors and not necessarily those of the Department of Veterans Affairs/Baylor College of Medicine.
- Aminzadeh F, Dalziel WB: Older adults in the emergency department: a systematic review of patterns of use, adverse outcomes, and effectiveness of interventions. Ann Emerg Med. 2002, 39: 238-247. 10.1067/mem.2002.121523.View ArticlePubMedGoogle Scholar
- Garcia TC, Bernstein AB, Bush MA: Emergency department visitors and visits: who used the emergency room in 2007?. NCHS Data Brief. 2010, 38: 1-8. Hyattsville, MD: National Center for Health StatisticsPubMedGoogle Scholar
- Gruneir A, Silver MJ, Rochon PA: Emergency department use by older adults: a literature review on trends, appropriateness, and consequences of unmet health care needs. Med Care Res Rev. 2011, 68: 131-155. 10.1177/1077558710379422.View ArticlePubMedGoogle Scholar
- McCusker J, Karp I, Cardin S, Durand P, Morin J: Determinants of emergency department visits by older adults: a systematic review. Acad Emerg Med. 2003, 10: 1362-1370. 10.1111/j.1553-2712.2003.tb00011.x.View ArticlePubMedGoogle Scholar
- Platts-Mills TF, Leacock B, Cabanas JG, Shofer FS, McLean SA: Emergency medical service use by the elderly: analysis of a statewide database. Prehosp Emerg Care. 2010, 14: 329-333. 10.3109/10903127.2010.481759.View ArticlePubMedGoogle Scholar
- Samaras N, Chevalley T, Samaras D, Gold G: Older patients in the emergency department: a review. Ann Emerg Med. 2010, 56: 261-269. 10.1016/j.annemergmed.2010.04.015.View ArticlePubMedGoogle Scholar
- McCusker J, Cardin S, Bellavance F, Belzile E: Return to the emergency department among elders: patterns and predictors. Acad Emerg Med. 2000, 7: 249-259. 10.1111/j.1553-2712.2000.tb01070.x.View ArticlePubMedGoogle Scholar
- Naughton C, Drennan J, Treacy P, Fealy G, Kilkenny M, Johnson F, Butler M: The role of health and non-health related factors in repeat emergency department visits in an elderly urban population. Emerg Med J. 2010, 27: 683-687. 10.1136/emj.2009.077917.View ArticlePubMedGoogle Scholar
- Himelhoch S, Weller WE, Wu AW, Anderson GF, Cooper LA: Chronic medical illness, depression, and use of acute medical services among medical beneficiaries. Med Care. 2004, 42: 512-521. 10.1097/01.mlr.0000127998.89246.ef.View ArticlePubMedGoogle Scholar
- Goldberg SE, Whittamore KH, Harwood RH, Bradshaw LE, Gladman JRF, Jones RG: The prevalence of mental health problems among older adults admitted as an emergency to a general hospital. Age Ageing. 2012, 41: 81-86.View ArticleGoogle Scholar
- Meldon SW, Emerman CL, Schubert DSP, Moffa DA, Gaffney Etheart R: Depression in geriatric ED patients: prevalence and recognition. Ann Emerg Med. 1997, 30: 141-145. 10.1016/S0196-0644(97)70132-X.View ArticlePubMedGoogle Scholar
- Shah MN, Jones CMC, Richardson TM, Conwell Y, Katz P, Schneider SM: Prevalence of depression and cognitive impairment in older adult emergency medical services patients. Prehosp Emerg Care. 2011, 15: 4-11. 10.3109/10903127.2010.514093.View ArticlePubMedGoogle Scholar
- Hastings SN, Whitson HE, Purser JL, Sloane RJ, Johnson KS: Emergency department discharge diagnosis and adverse health outcomes in older adults. J Am Geriatr Soc. 2009, 57: 1856-1861. 10.1111/j.1532-5415.2009.02434.x.View ArticlePubMedPubMed CentralGoogle Scholar
- Oster A, Bindman AB: Emergency department visits for ambulatory care sensitive conditions. Med Care. 2003, 41: 198-207.PubMedGoogle Scholar
- Katon WJ, Lin E, Russo J, Unützer J: Increased medical care costs of a population-based sample of depressed elderly patients. Arch Gen Psychiatry. 2003, 60: 897-903. 10.1001/archpsyc.60.9.897.View ArticlePubMedGoogle Scholar
- Unützer J, Schoenbaum M, Katon WJ, Fan M-Y, Pincus HA, Hogan D, Taylor J: Healthcare costs associated with depression in medically ill fee-for-service Medicare participants. J Am Geriatr Soc. 2009, 57: 506-510. 10.1111/j.1532-5415.2008.02134.x.View ArticlePubMedGoogle Scholar
- Luppa M, Heinrich S, Matschinger H, Sandholzer H, Angermeyer MC, König HH, Riedel-Heller SG: Direct costs associated with depression in old age in Germany. J Affect Disorder. 2008, 105: 195-204. 10.1016/j.jad.2007.05.008.View ArticleGoogle Scholar
- Lee BW, Conwell Y, Shah MN, Baker WH, Delavan RA, Friedman B: Major depression and emergency medical services utilization in community-dwelling elderly persons with disabilities. Int J Geriatr Psychiatry. 2008, 23: 1276-1282. 10.1002/gps.2063.View ArticlePubMedPubMed CentralGoogle Scholar
- Katon W, Ciechanowski P: Impact of major depression on chronic medical illness. J Psychosom Res. 2002, 53: 859-863. 10.1016/S0022-3999(02)00313-6.View ArticlePubMedGoogle Scholar
- Padget DK, Brodsky B: Psychological factors influencing non-urgent use of the emergency room: a review of the literature and recommendations for research and improved service delivery. Soc Sci Med. 1992, 35: 1189-1197. 10.1016/0277-9536(92)90231-E.View ArticleGoogle Scholar
- United States Census Bureau: Table 35: Statistical Table Based on data from the 2009 American Community Survey. Persons 65 Years and Over—Living Arrangements and Disability Status. 2009, [http://www.census.gov/compendia/statab/2012/tables/12s0035.pdf]Google Scholar
- Anderson G: Chronic conditions: Making the case for ongoing care. 2010, Robert Wood Johnson Foundation, 1-43. [http://www.rwjf.org/content/dam/web-assets/2010/01/chronic-care]Google Scholar
- Qiu WQ, Dean M, Liu T, George L, Gann M, Cohen J, Bruce ML: Physical and mental health of homebound older adults: an Overlooked population. J Am Geriatr Soc. 2010, 58: 2423-2428. 10.1111/j.1532-5415.2010.03161.x.View ArticlePubMedPubMed CentralGoogle Scholar
- Bruce ML, McVay J, Raue PJ, Brown EL, Meyers BS, Keohane DJ, Jagoda DR, Weber C: Major depression in elderly home health care patients. Am J Psychiatry. 2002, 159: 1367-1374. 10.1176/appi.ajp.159.8.1367.View ArticlePubMedGoogle Scholar
- Cohen-Mansfield J, Shmotkin D, Hazan H: The effect of homebound status on older adults. J Am Geriatr Soc. 2010, 58: 2358-2362. 10.1111/j.1532-5415.2010.03172.x.View ArticlePubMedPubMed CentralGoogle Scholar
- Ell K, Unützer J, Aranda M, Sanchez K, Lee P-J: Routine PHQ-9 depression screening in home health care: depression prevalence, clinical and treatment characteristics, and screening implementation. Home Health Care Services Quart. 2005, 24: 1-19.View ArticleGoogle Scholar
- Sirey JA, Bruce ML, Carpenter M, Booker D, Reid MC, Newell KA, Alexopoulos GS: Depressive symptoms and suicidal ideation among older adults receiving home-delivered meals. Int J Geriatr Psychiatry. 2008, 23: 1306-1311. 10.1002/gps.2070.View ArticlePubMedPubMed CentralGoogle Scholar
- Centers for Medicare and Medicaid Services: Table 7.1 Trends in Persons Served, Visits, Total Charges, Visit Charges, and Program Payments for Medicare Home Health Agency Services: Selected Calendar Years 1974–2010. Medicare and Medicaid Supplemental Statistics. 2011, [http://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/MedicareMedicaidStatSupp/2011.html]Google Scholar
- Choi NG, Hegel MT, Marinucci ML, Sirrianni L, Bruce ML: Association between participant-identified problems and depression severity in problem-solving therapy for low-income homebound older adults. Int J Geriatr Psychiatry. 2012, 27: 491-499. 10.1002/gps.2741.View ArticlePubMedGoogle Scholar
- Proctor EK, Hasche L, Morrow-Howell N, Shumway M, Snell G: Perceptions about competing psychosocial problems and treatment priorities among older adults with depression. Psychiat Serv. 2008, 59: 670-675. 10.1176/appi.ps.59.6.670.View ArticleGoogle Scholar
- Andersen RM: Revisiting the behavioral model and access to medical care: does it matter?. J Health Soc Behav. 1995, 36: 1-10. 10.2307/2137284.View ArticlePubMedGoogle Scholar
- Centers for Medicare and Medicaid Services: Definition of Homebound. [http://www.medicare.gov/homehealthcompare/Resources/Glossary.aspx?toolAudiance=HHC&Language=English&TermID=0026]
- Kroenke K, Spitzer RL: The PHQ-9: a new depression diagnostic and severity measure. Psychiat Ann. 2002, 32: 509-515.View ArticleGoogle Scholar
- Kroenke K, Spitzer RL, Williams JB: The PHQ-9: validity of a brief depression severity measure. J Gen Inter Med. 2001, 16: 606-813. 10.1046/j.1525-1497.2001.016009606.x.View ArticleGoogle Scholar
- Choi NG, Teeters M, Perez L, Farar B, Thompson D: Severity and correlates of depressive symptoms among recipients of meals in wheels: age, gender, and racial/ethnic difference. Aging Ment Health. 2010, 14: 145-154. 10.1080/13607860903421078.View ArticlePubMedGoogle Scholar
- Bruce M, Brown E, Raue P, Mlodzianowski A, Meyers B, Leon A, Heo M, Byers A, Greenberg R, Rinder S, Katt W, Nassisi P: A randomized trial of depression assessment intervention in home health care. J Am Geriatr Soc. 2007, 55: 1973-1800.View ArticleGoogle Scholar
- Bruce ML, Ten Have T, Reynolds CF, Katz I, Schulberg HC, Mulsant BH, Brown GK, McAvay GJ, Alexopoulos GS: Reducing suicidal ideation and depressive symptoms in depressed older primary care patients: a randomized controlled trial. JAMA. 2004, 291: 1081-1091. 10.1001/jama.291.9.1081.View ArticlePubMedGoogle Scholar
- Alexopoulos GS, Reynolds CF, Bruce ML, Katz IR, Raue PJ, Mulsant BH, Oslin DW, Ten Have T, PROSPECT Group: Reducing suicidal ideation and depression in older primary care patients: 24-month outcomes of the PROSPECT study. Am J Psychiatry. 2009, 166: 882-890. 10.1176/appi.ajp.2009.08121779.View ArticlePubMedPubMed CentralGoogle Scholar
- Borson S, Scanlan J, Brush M, Vitaliano P, Dokmak A: The Mini-Cog: a cognitive “vital signs” measure for dementia screening in multi-lingual elderly. Int J Geriatr Psychiatry. 2000, 25: 1021-1027.View ArticleGoogle Scholar
- Wallihan DB, Stump TE, Callahan CM: Accuracy of self-reported health services use and patterns of care among urban older adults. Med Care. 1999, 37: 662-670. 10.1097/00005650-199907000-00006.View ArticlePubMedGoogle Scholar
- Lubben JE, Gironda MW: Social support networks. Comprehensive Geriatric Assessment. Edited by: Osterweil D, Brummel-Smith K, Beck JC. 2000, New York: McGraw-Hill, 127-137.Google Scholar
- Depression Rating Scale Standardization Team: GRID-HAMD-17, GRID-HAMD-21 Structured Interview Guide. 2003, San Diego, CA: International Society for CNS Drug DevelopmentGoogle Scholar
- Moberg PJ, Lazarus LW, Mesholam RI, Bilker W, Chuy IL, Neyman I, Markvart V: Comparison of the standard and structured interview guide for the Hamilton Depression Rating Scale in depressed geriatric inpatients. Am J Geriatr Psychiatry. 2001, 9: 35-40.View ArticlePubMedGoogle Scholar
- Hosmer DW, Lemeshow S: Applied Logistic Regression (2nd editon). 2000, New York: John Wiley and SonsView ArticleGoogle Scholar
- Burnham KP, Anderson DR: Model selection and multimodel inference. 2002, New York: Springer, 2Google Scholar
- Mier N, Wng X, Smith ML, Irizarry D, Treviño L, Alen M, Ory MG: Factors influencing health care utilization in older Hispanics with diabetes along the Texas-Mexico border. Popul Health Manag. 2012, 15: 149-156. 10.1089/pop.2011.0044.View ArticlePubMedPubMed CentralGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-244X/12/233/prepub