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BMC Psychiatry logoLink to BMC Psychiatry
. 2012 Dec 26;12:233. doi: 10.1186/1471-244X-12-233

Relationship between depressive symptom severity and emergency department use among low-income, depressed homebound older adults aged 50 years and older

Namkee G Choi 1,, C Nathan Marti 1, Martha L Bruce 2, Mark E Kunik 3,4,5
PMCID: PMC3557139  PMID: 23267529

Abstract

Background

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).

Methods

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.

Results

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.

Conclusions

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.

Trial registration

ClinicalTrials.gov Identifier: NCT00903019

Keywords: Homebound older adults, Depression, Emergency department

Background

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 [1].

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 [9]. 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 [31] 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.

Methods

Setting and participants

Following the definition of “homebound” older adults in Medicare [32], 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 [35] 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 [36]. 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 [39]); (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).

Ethics

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).

Measures

ED visits

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 [40] 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.

Predisposing factors

These were gender, age groups (50–59, 60–69, and 70+), and race/ethnicity (African American, Hispanic, and non-Hispanic White).

Enabling factors

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 [41] (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 [42] augmented with three additional items assessing feelings of hopelessness, helplessness, and worthlessness, with specific probes and follow-up questions developed by Moberg et al. [43]. 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.

Analysis

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 [44] 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 [45]. 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.

Results

Participant characteristics

Table 1 shows that the participants were diverse in age, that 59.7% were African American or Hispanic, and that 84.4% had annual family income ≤$25,000. On average, they had three chronic medical conditions. All had a PCP or regular source of care (with 91.7% enrolled in Medicare and/or Medicaid and another 5% with Department of Veterans Affairs insurance or employer-originated private insurance). Further analysis showed no difference in baseline depressive symptom severity by any demographic characteristics, level of family support, number of chronic conditions, pain frequency, or intervention group assignment (tele-PST, in-person PST, and telephone support call).

Table 1.

Demographic and clinical characteristics of participants at baseline (N = 121)

Age, mean (SD)
65.21 (+9.22)
(range: 50-89)
 
Age group (n, %)
 
50-59
38 (31.4)
60-69
48 (39.7)
70+
35 (28.9)
Gender (n, %)
 
Male
27 (22.3)
Female
94 (77.7)
Race/ethnicity (n, %)
 
Non-Hispanic White
50 (41.3)
Black
41 (33.9)
Hispanic
30 (24.8)
SCID diagnosis (n, %)
 
Major Depressive disorder
81 (67.0)
Depressive disorder, NOS
35 (28.9)
Dystymia
5 (4.1)
Living arrangement (n, %)
 
Living alone
77 (63.6)
Not living alone
44 (36.4)
Family income (n, %)
 
<= 15,000
77 (63.6)
15,001-25,000
25 (20.7)
25,001-50,000
12 (9.9)
Don’t know/refused
7 (5.8)
Insurance coverage (n, %)
 
Medicare
96 (79.3)
Medicaid
40 (33.1)
Private insurance (past employer-provided)
18 (14.9)
Veterans administration insurance
14 (11.6)
Family support1
16.05 (+5.97)
(range: 0-26)
 
Depression severity (HAMD score), mean (SD)
24.55 (+6.62)
(range: 15-42)
 
No. of diagnosed medical conditions, mean (SD)
3.19 (+1.54)
Chronic pain (n, %)
 
Yes
106 (87.5)
No
15 (12.4)
Pain frequency2
7.75 (3.40)
RCT group (n, %)
 
Tele-PST
43 (35.5)
In-person PST
42 (34.7)
Telephone support call 36 (29.8)

ED visits, depressive symptoms, and reasons

Table 2 shows that at baseline, 43% of the participants reported no ED visits during the preceding six months, 22.3% reported 1 visit, 12.4% reported 2 visits, and 21.4% reported 3–9 visits. Of 68 participants who had had any ED visit, 39.1% (n = 37) reported 1 visit, 21.7% (n = 15) reported 2 visits, and 39.1% reported 3–9 visits; thus, almost 61% made return visits. At 24-week follow-up, 49.6% reported no ED visit since baseline, 16.5% reported 1 visit, 5.8% reported 2 visits, and 7.5% reported 3–8 visits. Of the 36 participants who had any ER visit, 55.6% (n = 20) had only 1 visit, 19.4% (n = 7) had 2 visits, and 25% (n = 9) had 3–8 visits. The total number of ED visits reported was 170 (for an average of 2.5 visits per visitor) at baseline and 88 (for an average of 2.4 visits per visitor) at 24-week follow-up. The baseline HAMD scores were not normally distributed according to the Shapiro-Wilk test (W = 0.94, p < .001); thus, comparisons between ED visits and HAMD scores were assessed using robust regression. The HAMD scores for those who had had 3+ ED visits at baseline were significantly higher than the scores of those who had had no visits (χ2 = 14.73, p < .001), those who had had one visit (χ2 = 5.07, p = .024), and those who had two visits (χ2 = 7.82, p = .005). On the other hand, the HAMD scores for those who had had 3+ ED visits at 24-week follow-up were not different from the HAMD scores for those who had had no visits (χ2 = 1.36, p = .243), those who had had one visit (χ2 = 1.39, p = .238), and those that had two visits (χ2 = 1.09, p = .300).

Table 2.

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 frequency n (%) HAMD scores ED frequency n (%) HAMD score
0
52 (43.0)
23.04+6.51
0
60 (49.6)
14.08+7.86
1
27 (22.3)
24.70+6.42
1
20 (16.5)
14.45+8.60
2
15 (12.4)
22.60+5.34
2
7 (5.8)
21.71+9.55
3+ 26 (21.4)1 28.37+6.39 3+ 9 (7.5)2 17.33+4.44

1The range was 3 to 9; 2The range was 3 to 8.

Table 3 shows that 33.3% of participants who provided 24-week follow-up data had no ED visits at both baseline and follow-up; 29.2% reported at least 1 visit at baseline but no visit at follow-up; 13.5% reported no visit at baseline but at least 1 visit at follow-up; and 24.0% reported at least 1 visit at both times. The follow-up HAMD scores were not normally distributed according to the Shapiro-Wilk test (W = 0.83, p < .001); thus, comparisons between ED visits and HAMD scores were assessed using robust regression. The follow-up HAMD scores for those who had had ED visits at both baseline and follow-up were marginally higher than those that had not used ED (χ2 = 3.73, p = .053), but the HAMD scores were significantly higher than those who had reported ED visits only at baseline (χ2 = 8.89, p = .003) and those who had used ED only during the follow-up (χ2 = 8.64, p = .003). Reduction in HAMD scores since baseline did not differ between ED users at both baseline and follow-up and those who had not used ED (χ2 = 0.01, p = .938) or those who had had ED visits only during the follow-up (χ2 = 3.62, p = .057).

Table 3.

ED visit pattern and HAMD score change (n=96)

ED visit pattern n (%) Baseline HAMD Scores 24-week-follow-up HAMD score HAMD score change from baseline
No visit at both times
32 (33.3)
22.63+5.97
15.03+7.33
-7.59+8.55
Visit at baseline only
28 (29.2)
24.89+7.0
13.0+8.4
-11.89+7.43
Visit at follow-up only
13 (13.5)
23.23+7.76
11.08+5.15
-12.15+8.68
Visit at both times 23 (24.0) 27.30+6.29 19.70+8.14 -7.61+7.09

Table 4 lists the participants’ self-reported reasons for ED visits. At both baseline and follow-up, body pain (not from fall injury and not including chest pain) was the most common reason, followed by breathing problems, chest pain, fall-related injuries, high blood pressure, abdominal pain/intestinal trouble, and infection. Further analysis showed that a significant proportion of high-frequency (3+ visits) users visited the ED for the same reason over time. Specifically, 52% of the high-frequency users at baseline and 56% of those at 24-week follow-up reported the same reasons for at least 3 or more visits: body pain, stomach pain, chest pain, congestive heart failure, falls, breathing problems, high blood pressure, hyperglycemia, seizures, urinary tract infection, wound care, and cancer-related problems. Some participants reported that their calls to their PCPs or on-call nurses during evening hours and weekends (when their PCPs were not present in the clinics) were almost always responded with an instruction to go to an ED. An absolute majority of those who used ED services reported that they would have preferred seeing their PCPs to an ED visit given the long wait in the crowded waiting area in most occasions.

Table 4.

Self-reported reasons for ED visits (n, % of all visits)

Reason Baseline 24-week follow-up
Total number of visits
170 (100)
88 (100)
Body pain not from fall injury and not chest pain
31 (18.2)
11(12.5)
Breathing problem
19 (11.2)
2 (2.3)
Chest pain
19 (11.2)
5 (5.7)
CHF
3 (1.8)
1 (1.1)
Injury from fall
16 (9.4)
7 (8.0)
High blood pressure
13 (7.6)
7 (8.0)
Hypotension
1 (0.5)
3 (3.4)
Abdominal pain/intestinal trouble
11 (6.4)
6 (6.8)
Infection
 
 
Pneumonia/bronchitis
3 (1.8)
6 (6.8)
Urinary tract infection
2 (1.2)
7 (8.0)
Kidney infection
3 (1.8)
2 (2.3)
Pancreas
1 (0.6)
1 (1.1)
Gall bladder
 
1 (1.1)
Hypo/Hyperglycemia
8 (4.7)
1 (1.1)
Got sick—Not feeling well
7 (4.1)
4 (4.5)
Passed out/seizure
6 (3.5)
1 (1.1)
Cancer-related problems (burning, breathing, and vomiting)
6 (3.5)
 
Stroke
3 (1.8)
3 (3.4)
Migraine
3 (1.8)
1 (1.1)
Dehydration
3 (1.8)
 
Leg swelling/would not move
3 (1.8)
3 (3.4)
Dizziness/Anemia
2 (1.2)
 
Wound care
 
11 (12.5)
Low blood count
2 (1.2)
 
Cold/coughing/throat problem
1 (0.6)
2 (2.3)
Drug interaction/amnesia
1 (0.6)
1 (1.1)
Stress reaction/anxiety
1 (0.6)
1 (1.1)
Car accident
 
1 (1.1)
Popped vein in scrotum
1 (0.6)
 
Itching back 1 (0.6)  

Association between ED visits and depressive symptoms: multivariable analysis

Preliminary analyses of covariates in the logistic portion of the zero-inflated Poisson model for baseline ED visits indicated that Hispanic status, family support, and the number of medical conditions met the inclusion criteria based on the decision rules described above. The same analyses for the zero-inflated Poisson model for ED visits at 24-week follow-up indicated that Hispanic status, being in the 60–69 age group, and the number of medical conditions met the inclusion criteria based on the decision rules described above. Table 5 shows that the ED visit frequency reported at baseline was significantly positively associated with the baseline HAMD score, 50–59 years of age, 60–69 years of age, and being Hispanic. In addition, family support was a significant predictor in the logistic portion of the model (χ2 = 5.97, p = .015). Gender, being Black, Medicaid coverage, number of chronic medical conditions, and pain frequency were not significant correlates of the baseline ED visit frequency.

Table 5.

Association between depressive symptom severity and ED visit frequency: multivariable analysis results

Variable
Baseline (n=121)
24-Week (n=96)
24-Week (n=96)
  B (SE) B (SE) B (SE)
Intercept
-0.63 (0.60)
-1.16 (0.82)*
-1.79 (0.87)*
Gender
 
 
 
Female
0.12 (0.23)
1.73 (0.48)***
1.74 (0.48)***
(Male)
 
 
 
Age
 
 
 
50-59
0.83 (0.25)*
1.40 (0.51)**
1.37 (0.51)**
60-69
0.56 (0.25)*
0.76 (0.44)†
0.74 (0.44)†
(70+)
 
 
 
Race/ethnicity
 
 
 
Black
0.31 (0.25)
0.81 (0.52)
0.81 (0.51)
Hispanic
0.58 (0.25)*
0.23 (0.45)
0.22 (0.45)
(Non-Hispanic White)
 
 
 
Medicaid coverage
 
 
 
Yes
0.18 (0.19)
0.29 (0.29)
0.27 (0.29)
(No)
 
 
 
Family support
-0.03 (0.02)†
-0.03 (0.02)
-0.03 (0.02)
No. of medical conditions
-0.04 (0.06)
-0.11 (0.09)
-0.11 (0.09)
Pain frequency
-0.04 (0.03)
-0.14 (0.05)**
-0.14 (0.05)**
Baseline HAMD score
0.05 (0.01)***
 
0.08 (0.03)**
24-week follow-up HAMD
 
0.07 (0.02)**
 
HAMD score changes—
 
 
 
baseline to 24 weeks1
 
 
0.07(0.02)**
-2 Likelihood ratio χ2
23.49
22.89
24.00
df
13
13
14
Model p value 0.036 0.043 0.046

1Higher scores indicate worse symptoms since baseline.

**p < 0.01; *p < 0.05’; †p = 0.051.

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.

Discussion

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 [29]. 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 [46] 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 [36]; 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.

Conclusions

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.

Abbreviations

ED: Emergency department; RCT: Randomized controlled trial; HAMD: Hamilton Rating Scale for Depression; PCP: Primary care physician.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

All authors contributed to the drafting of this version of the manuscript and agree to submission. NGC, MLB, and MEK: conception and design of the study. NGC and CNM: statistical analysis. NGC, CNM; MLB, and MEK: interpretation. All authors read and approved the final manuscript.

Pre-publication history

The pre-publication history for this paper can be accessed here:

http://www.biomedcentral.com/1471-244X/12/233/prepub

Contributor Information

Namkee G Choi, Email: nchoi@austin.utexas.edu.

C Nathan Marti, Email: nate78701@gmail.com.

Martha L Bruce, Email: mbruce@med.cornell.edu.

Mark E Kunik, Email: mkunik@bcm.edu.

Acknowledgments

We are grateful to all case managers who referred their clients to the project.

Funding sources

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.

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