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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptNIH Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
Psychol Med. Author manuscript; available in PMC Oct 28, 2010.
Published in final edited form as:
PMCID: PMC2965447
NIHMSID: NIHMS238064
Health services use in eating disorders
R. H. Striegel-Moore,1* L. DeBar,2 G. T. Wilson,3 J. Dickerson,2 F. Rosselli,4 N. Perrin,2 F. Lynch,2 and H. C. Kraemer5
1 Department of Psychology, Wesleyan University, Middletown, CT, USA
2 Center for Health Research, Kaiser Permanente NorthWest, Portland, OR, USA
3 Department of Psychology, Rutgers, The State University of New Jersey, New Brunswick, NJ, USA
4 Department of Psychology, Manchester Community College, Manchester, CT, USA
5 Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
* Address for correspondence: R. H. Striegel-Moore, Ph.D., Department of Psychology, Wesleyan University, 207 High Street, Middletown, CT 06459-0408, USA. rstriegel/at/wesleyan.edu
Background
This study examined healthcare services used by adults diagnosed with an eating disorder (ED) in a large health maintenance organization in the Pacific Northwest.
Method
Electronic medical records were used to collect information on all out-patient and in-patient visits and medication dispenses, from 2002 to 2004, for adults aged 18–55 years who received an ED diagnosis during 2003. Healthcare services received the year prior to, and following, the receipt of an ED diagnosis were examined. Cases were matched to five comparison health plan members who had a health plan visit close to the date of the matched case’s ED diagnosis.
Results
Incidence of EDs (0.32% of the 104 130 females, and 0.02% of the 93 628 males) was consistent with prior research employing treatment-based databases, though less than community-based samples. Most cases (50%) were first identified during a primary-care visit and psychiatric co-morbidity was high. Health services use was significantly elevated in all service sectors among those with an ED when compared with matched controls both in the year preceding and that following the receipt of the incident ED diagnosis. Contrary to expectations, healthcare utilization was found to be similarly high across the spectrum of EDs (anorexia nervosa, bulimia nervosa, and eating disorders not otherwise specified).
Conclusions
The elevation in health service use among women both before and after diagnosis suggests that EDs merit identification and treatment efforts commensurate with other mental health disorders (e.g. depression) which have similar healthcare impact.
Keywords: Co-morbidity, eating disorders, health services
Despite evidence of substantial disease burden of eating disorders (EDs) (Mathers et al. 1999), few studies have examined health services use among individuals with anorexia nervosa (AN), bulimia nervosa (BN) or eating disorders not otherwise specified (EDNOS). A comprehensive review (Simon et al. 2005) identified only six studies worldwide with data on health services use and cost among individuals with an ED. The review noted that despite indications of significantly elevated health services use among individuals with an ED, results in most studies probably reflect gross underestimates of the full magnitude of the economic burden because only in-patient costs were captured (e.g. Krauth et al. 2002) or results were based on a limited set of cost data (Striegel-Moore et al. 2000). Moreover, only one study (Striegel-Moore et al. 2000) reported specific information on service use associated with EDNOS, the diagnosis most commonly encountered in clinical practice (Fairburn & Bohn, 2005). A recent evidence report commissioned by the Agency for Healthcare Research and Quality (Berkman et al. 2006) issued a call for more detailed information on the treatment of EDs, noting in particular the dearth of data concerning the treatment of individuals with EDNOS. Questions remain about the types of health services utilized by individuals with an ED and the frequency of their use of such services.
The present study sought to answer several questions about health services use among insured individuals with an ED. First, what is the number of individuals who experience an ED ‘new care episode’ in this population and where in the healthcare system are such cases typically diagnosed? Second, how does health services use associated with EDs compare with services use among demographically similar plan members without an ED the year prior to ‘detection’ (diagnosis) and in the 12 months following diagnosis? And, related, if there is elevated services use among the ED patients, does it vary by type of ED (AN, BN, EDNOS)? Finally, how does services use change from the pre-detection year to the post-detection year among patients with an ED?
To answer these questions, the study utilized the institutional database of a large health maintenance organization offering comprehensive health, mental health, and health education services. Specifically, services use for ED cases and comparison plan members was captured at three time points: at the visit when the ED was first diagnosed (‘index visit ’); the 12-month period leading up to the index visit; and the 12-month period following the index visit. By focusing on these three time points, the study examined where services were being provided at the time of first diagnosis (‘index visit ’); whether health services use among ED cases already differed from that of the comparison group in the year leading up to the index visit (‘prior year’); whether there was differential health services use once a provider had diagnosed the ED (‘post-year’); whether any excess services use among plan members with an ED varied by type of ED (AN, BN, EDNOS); and, for ED cases, how services use changed once the disorder was diagnosed.
Data source
Data were obtained from a large healthcare organization in the northwestern United States. Comprehensive membership surveys indicate that members of the health plan are representative of the Portland, Oregon Metropolitan area, the geographic region served by the plan (Freeborn & Pope, 1994). To be included in the sample, at the index visit participants had to be between the ages of 18 and 55 years, the population most likely to experience an ED (Hudson et al. 2007). Participants also had to be health plan members for the duration of the observation period of this study (24 months); plan members on Medicaid or Medicare were excluded because their benefits package was substantially less comprehensive than that of regular health plan members.
Definition of ‘cases ’
ED diagnoses were based on the diagnostic code entered by the healthcare provider in the patient’s record. Patients were considered new care episodes (i.e. ‘cases’) if they received an ED diagnosis for the first time after a period of 12 months during which no diagnosis of an ED was identified in the medical record. The ED diagnosis at this ‘index visit ’ was noted and patients could fall into one of three mutually exclusive diagnostic categories: AN, BN, and EDNOS. When more than one ED diagnosis was noted in the index visit record (3% of the cases), the following hierarchy was used for classification: any combination including AN was coded as AN; any remaining cases with a combination of BN and EDNOS were coded as BN. Thus any patient coded as EDNOS had only EDNOS as a diagnosis. To ensure that these diagnoses were meaningful characterizations, we also examined ED diagnoses over the subsequent year. More than 90% of participants did not shift diagnostic categories (e.g. EDNOS to AN or BN) in the subsequent year, increasing our confidence that these were reliable diagnostic classifications.
Definition of the comparison group
For each ED case, five comparison health plan members were randomly selected from among those members who had a health plan office visit within 3 months of the index visit date of the ED case for which he/she served as the match (to adjust for potential seasonal effects on health services use) and who matched the case on gender and age (within 3 months of date of birth) to adjust for the well-established effects of gender and age on health services use (Kessler et al. 2005) but who did not have any ED diagnosis within the 12 months prior to the index visit. We considered, but rejected, matching comparison plan members solely on the basis of gender and age. We were concerned that without the requirement of an office visit we might have identified a comparison sample of ‘super-healthy’ individuals, thus artificially magnifying possible differences in health services use between ED and non-ED health plan members.
Health services use categories
Health services use was coded into one of seven mutually exclusive categories, each reflecting number of days of service: primary care (including internal medicine, family medicine, and obstetric/gynaecological care); emergency or urgent care; mental health services; addiction medicine; out-patient specialty care (this category included all out-patient care not captured in the other service use categories; examples include ophthalmology, foot clinic); telephone consultations; and in-patient care. In addition, use of specific pharmacological treatments was coded as the percentage of patients who had received antidepressants and the percentage of patients who had received anxiolytics. On a given day, patients may have used more than one health service category (e.g. seen their family doctor for a primary-care consultation and received a prescription).
Health services use was examined at three time periods: the index visit (by inclusion criteria, all participants in this study had a service use in at least one of the first six of the above categories), the 12 months leading up to (but excluding) the index visit, and the 12 months following (but excluding) the index visit.
Demographic information
Information about patients’ age (coded as age at the time of the index visit) and gender was extracted from electronic patient records.
Co-morbid diagnoses
The percentage of patients with the following diagnoses at the index visit was examined among both the cases and the comparison group: major depressive disorder, bipolar disorder, post-traumatic stress disorder (PTSD), anxiety disorders (excluding PTSD), alcohol-related disorders, drug dependence and/or abuse, tobacco dependence, adjustment disorder, and attention deficit disorder (ADD).
Data analyses
Because the controls were individually matched to the cases, a case response was compared with the median of the matched controls using a paired-sample t test. The median, rather than the mean, was used in these analyses because the health services use variables were not normally distributed. For this reason, the analyses were also repeated using Wilcoxon signed rank tests. With few exceptions (footnoted in the tables), the two tests yielded similar results, therefore only the paired-sample t tests will be reported here. The effect size reported was ‘number needed to take’ (NNT), which indicates how many cases you have to see to find one more ‘failure ’ than if you had observed their matched controls, where ‘ failure’ means having more health services or a greater frequency of co-morbid diagnoses. This effect-size statistic is strongly recommended for its clinical interpretability and independence from limiting assumptions about the distributions of responses in the groups being compared (Kraemer & Kupfer, 2006). The larger the NNT, the weaker the difference between cases and matched controls, with NNT=1 indicating that every single case failed and every matched control did not. While the relationship between clinical significance and the size of the NNT is not well established, for the purpose of this discussion, NNT <4 is considered ‘strong’, NNT >9 is considered ‘weak’, and NNT values between 4 and 9 are considered ‘moderate’. If the responses were normally distributed, a ‘strong’ effect (NNT <4) would correspond to the more familiar standardized mean difference greater than 0.5 and a ‘weak’ effect (NNT >9) to one less than 0.2 (Kraemer & Kupfer, 2006).
Post hoc analyses were conducted to test for the possible effect of ED diagnosis on elevated health services use. Because service use is known to vary with age (Kessler et al. 2005), an age term was also included in these analyses. For each category of service use, ‘excess’ utilization (defined as the difference between the case and the median of the comparison group) was entered into separate 3 (diagnosis: AN, BN, EDNOS) × 3 (age group: 18–24, 25–34, 35–55 years) analyses of variance. These analyses were conducted for both the year prior to diagnosis and the year following diagnosis.
Incidence of new care episodes of eating disorders
Among the 104 130 female and 93 628 male plan members aged 18–55 years, 332 (0.319%) women and 19 (0.0203%) men were found to have received an ED diagnosis at least once during the 2003 calendar year. The present sample contained too few men to be able to adequately examine gender-related service use patterns. Therefore, the remaining analyses were limited to data from female health plan members.
Of the 332 women identified, 204 had not been diagnosed with an ED in 2002 (satisfying the definition of ‘case’). The cases represent 0.1959% of the total number of female health plan members between the ages of 18 and 55 years with full membership during 2003 and no ED diagnosis in 2002 (n=104 130). Among the 204 cases, 28 (13.73% of cases; 0.0269% of female health plan members) were diagnosed with AN at the index visit, 77 (37.75% of cases; 0.0739% of female health plan members) were diagnosed with BN, and 99 (48.53% of cases; 0.0951% of female health plan members) were diagnosed with EDNOS. Mean ages of cases (comparison members were age matched within 3 months) were as follows: AN, mean age 28.11, standard deviation S.D.=8.54 years; BN, mean age 31.52, S.D.=9.8 years; EDNOS, mean age 30.65, S.D.=11.02 years.
Group differences in psychiatric co-morbidity at the index visit are shown in Table 1. Psychiatric comorbidity was noted significantly more often for ED cases than controls for major depression, bipolar disorder, anxiety disorders, PTSD, alcohol disorders, drug dependence or abuse, ADD, and adjustment disorder. The NNT estimates indicate that these differences are strong (NNT <4) for major depression and anxiety disorders, and moderate (4 <NNT <9) for bipolar disorder, PTSD, alcohol disorders, drug dependence/abuse, adjustment disorder, and ADD. The two groups did not differ significantly in the prevalence of tobacco dependence (NNT >9). By far the most common comorbid psychiatric disorder noted among the ED cases was major depression, which was noted in one-third of the cases; anxiety disorders were the second most common co-morbid condition noted in 15% of cases. Co-morbidity was also examined for pre-year and post-year data and was found to have a similar pattern to that identified at the index visit (results not shown, but available upon request).
Table 1
Table 1
Co-morbid diagnoses at index date among eating disorder cases and their matched controlsa
To address the question of where EDs are first diagnosed within the healthcare system, we examined the frequency of service use categories on the index date for the ED cases. Of the seven possible health services categories, ED cases were identified in only one of three categories: most cases were diagnosed during a primary-care (n=102, 50%) or mental health (n=89, 43.63%) visit. A few cases (n=13, 6.37%) were identified during a specialty care visit.
Health services use of female plan members with versus without an eating disorder
Pre-index visit year
Group differences in services use during the 12 months leading up to the index visit are shown in Table 2. ED cases had more visits to the primary-care, mental health, and emergency/urgent-care departments as well as a greater number of telephone consultations than comparison patients. These differences were statistically significant and strong. ED cases also had significantly more specialty service visits, were hospitalized for a greater number of days, and had somewhat more addiction medicine visits, differences of only moderate to small effect size. Finally, ED cases were more likely than comparison patients to have received prescriptions for antidepressants [50% v. 22%, t(203)=7.81, p<0.0001, NNT=2.4], a strong effect, and anxiolytics [16% v. 7%, t(203)=3.36, p<0.002, NNT=5.4], a moderate effect.
Table 2
Table 2
Health services use among women with an eating disorder (cases) and women without an eating disorder (controls) in the 12 months prior to the index visita
Planned post hoc tests compared services use among patients with AN, BN, and EDNOS (each category classed further into one of three age groups: 18–24, 25–34, 35–55 years). A statistically significant main effect of ED diagnosis was found for prescription of anxiolytics [F(2, 195)=3.33, p<0.04]. More patients with AN (26.3%) were prescribed anxiolytic medication than patients with BN (7.2%) or EDNOS (5.6%). The analyses yielded a significant main effect of age for prescription of antidepressants [F(2, 195)=4.37, p< 0.02], with 49% of patients aged ≥35 years having been prescribed antidepressants, compared with 28% of patients aged 25–34 years and 20% of patients younger than 25 years. There also were significant main effects of age group for phone consultations [F(2, 195)=4.5, p<0.02] and for mental health visits [F(2, 195)=9.29, p<0.0002]; however, these main effects were qualified by significant ED diagnosis by age group interactions [F(4, 195)=3.02, 4.10, p values <0.02]. The relevant means for these interactions are reported in Table 3. Examining these means, women in the 35–55 years age group with a diagnosis of AN showed very high usage for these two categories of use. These analyses should be interpreted with caution given the very small sample sizes for the AN group (e.g. there were only seven AN patients aged ≥35 years), the unequal variances between groups, and the fact that the distributions, especially for AN, appear non-normal. No other significant main effects or interaction effects were found.
Table 3
Table 3
Average excess utilization in year prior to index visit in women with AN, BN and EDNOS, by age group, for phone consultations and mental health visits
Post-index visit year
Group differences in services use during the 12 months following the index visit are shown in Table 4. ED cases had more visits to the primary-care, mental health, and emergency and urgent-care departments as well as a greater number of telephone consultations and specialty service visits than did comparison patients. These differences were statistically reliable and strong. Though ED cases also had significantly more mean days of hospitalization and more addiction medicine visits, the size of these effects was only moderate. ED cases were significantly more likely than comparison patients to have received prescriptions for antidepressants [68% v. 26%, t(203)=12.03, p<0.0001, NNT=1.7] and anxiolytics [22% v. 8%, t(203)=4.77, p<0.0001, NNT=3.8], both strong effects.
Table 4
Table 4
Health services use among women with an eating disorder (cases) and women without an eating disorder (controls) in the 12 months following the index visita
Planned post hoc tests comparing elevated health services use among patients with AN, BN and EDNOS in the 12 months post-diagnosis revealed no significant main effects of diagnostic group. There was a significant main effect of age group for specialty care visits [F(2, 195)=3.78, p<0.03], with the oldest patient group (mean=6.29) using specialty services significantly more often than either of the two youngest groups (means=2.32, 2.08, p values <0.05, respectively). There also were significant main effects of age group for mental health visits [F(2, 195)=13.80, p<0.0001], telephone consultations [F(2, 195)=7.10, p<0.002] and prescription of anxiolytics [F(2, 195)= 15.39, p<0.0001], but these effects were qualified by significant ED by age group interactions [F(4, 195)= 2.80, 2.81, and 2.90, respectively, p values <0.03). As shown in Table 5, consistent age group effects were evident among the AN group. Specifically, among patients with AN, 25- to 34-year-olds showed relatively low levels of mental health visits and telephone encounters whereas utilization for these categories was markedly high among those aged ≥35 years. Similarly, the proportion of AN participants receiving prescriptions for anxiolytics was much higher than among those with BN and EDNOS for the 35–55 years age group, but there were very small differences between those with the different ED diagnoses for the younger age groups. In contrast, for participants with diagnoses of BN or EDNOS, service use did not vary consistently as a function of age for these three categories of use, though the lowest utilization appeared to occur among the 18- to 24-year-olds. No other significant main effects or interaction effects were found.
Table 5
Table 5
Average excess utilization in the 12 months following the index visit in women with AN, BN and EDNOS, by age group, for phone consultations, mental health visits, and prescription of anxiolytics
Change in health services use among eating disorder cases from pre-diagnosis year to post-diagnosis year
The average differences in utilization between the prediagnosis year and the post-diagnosis year among the ED cases are presented in Table 6. Health services use increased in the year following diagnosis, compared with the year prior to diagnosis, for all categories of service use measured with the exception of in-patient care which did not change significantly. The increases in services use were both statistically significant and strong for mental health visits and telephone consultations. Though group differences were statistically significant, the effect sizes were only moderate for primary care, emergency/urgent care, specialty service, and addiction medicine visits. There was a marked increase in prescriptions for antidepressants from 50% in the year prior to diagnosis to 68% in the year following diagnosis; in contrast, the percentage of cases receiving prescriptions for anxiolytics increased only slightly, from 16% to 22%.
Table 6
Table 6
Change in health services use among eating disorder cases from pre-year to post-year
This study examined health services use among adult members of a large health maintenance organization who had been diagnosed with an ED in 2003. Overall, about 2/1000 female, and fewer than 2/10 000 male, health plan members received a diagnosis of AN, BN, or EDNOS in 2003 who had not yet been diagnosed with an ED in 2002. EDs are far less common among males than females (Hudson et al. 2007) and the proportion of men who were found to have been diagnosed with an ED in the target year of the present study is consistent with findings based on a national insurance database (Striegel-Moore et al. 2000). Moreover, the 12-month ‘prevalence’ estimates (i.e. the number of individuals diagnosed with an ED, regardless of whether they had received an ED diagnosis in the prior year) and the ‘incidence’ estimate (i.e. the number of individuals who received an ED diagnosis for the first time in the target year) observed in the present study are far lower than prevalence estimates of EDs in community samples (there are no published estimates of the incidence of EDs based on US populations). This is consistent with findings from previous studies suggesting that many individuals do not access or receive treatment specifically for an ED (Garvin & Striegel-Moore, 2001; Striegel-Moore, 2005).
The examination of health services use data of female health plan members yielded four major findings. One, 50% of the ED cases were first diagnosed during a primary-care visit, pointing to the critical importance of primary-care providers in identifying EDs, even in a health plan where members have direct access to specialty care including mental health services. Although several screening instruments have been developed to identify those experiencing an ED (e.g. Spitzer et al. 1999; Stice et al. 2000), they have not yet been tested in large, unselected populations of primary-care patients against reliable structured interviews nor do they seem to be used in routine clinical practice.
Two, health services use was significantly elevated in all service sectors among those with an ED compared with a randomly selected sample of women who did not have an ED diagnosis, both in the 12 months leading up to, and in the 12 months following, the index visit. The present study cannot disentangle whether the elevated services use reflects the considerable co-morbidity among individuals with an ED or an attempt by the patient to receive care without acknowledging the ED to herself or the healthcare provider. The high levels of co-morbidity observed in this study may in part be due to the fact that the more distressed and more highly co-morbid patients are more likely to have their ED diagnosed. Indeed, epidemiological studies have found an ED is almost never identified without a psychiatric co-morbid disorder having first been recognized but those studies also report that most ED cases meet criteria for another psychiatric disorder even among individuals whose ED has not been treated (Kendler et al. 1991; Lewinsohn et al. 1993; Walters & Kendler, 1995; Hudson et al. 2007). Major depression was the most common co-morbid mental disorder among women with an ED, probably reflecting both the large number of women with depression as well as ‘true’ co-morbidity (Kraemer, 1995; Kraemer et al. 2006). Co-morbid anxiety disorders were also noted in 15% of women with an ED diagnosis at the index visit. In light of the considerable number of women with comorbid depression and anxiety disorder diagnoses, it is not surprising that many were prescribed antidepressant and/or anxiolytic medication in the year prior to diagnosis.
Beyond reflecting clinical need arising from comorbid symptoms, the elevated services use in the year prior to diagnosis also may reflect patients’ efforts to receive help specifically for ED symptoms without acknowledging the symptoms clearly. Denial is a hallmark of AN (Bruch, 1978) but is also common among individuals with BN, and ED symptoms are often ego-syntonic in the early stages of the disorder. Patients may not attribute their distress to, or acknowledge, body image concerns or disordered eating behavior, making it difficult for the care provider to detect an ED. An additional barrier to detecting EDs may be patients’ shame about their disorder, which may make patients reluctant to give an unambiguous account of their problems; in turn, providers may not be sufficiently familiar with the signs or symptoms of EDs and miss patients’ ‘hints’ that they suffer from disordered eating (Cachelin & Striegel-Moore, 2006). Our results suggest that physicians screen women for an ED, particularly those who are being treated for an anxiety disorder or for major depression.
Both prior to diagnosis and thereafter, patients with an ED are being treated not only in primary care or mental health care but also receive more services than non-ED patients in the form of telephone consultations, specialty care, and emergency/urgent care. This spectrum of services probably reflects the broad range of physical and psychiatric symptoms associated with EDs (Wonderlich & Mitchell, 1997). Following diagnosis, service use increases in particular in terms of prescription of antidepressants, telephone consultations, and visits to both mental health and primarycare departments.
Consistent with a previous report based on a national insurance consortium database (Striegel-Moore et al. 2000), in-patient treatment was uncommon. Focusing specifically on privately insured adolescent patients, Martin & Leslie (2003) showed that from 1997 to 2000, psychiatric in-patient and outpatient treatment declined 20% and 11.3% respectively. They also noted a shift toward increased use of medication compared with ‘talking’ therapies. This trend is of particular concern in EDs where, to date, no specific medication has been identified for the treatment of AN, and where medication is less effective than cognitive behavioral therapy in the treatment of BN and binge eating disorder (Wilson & Shafran, 2005).
Three, with the possible exception of older women with AN, elevated service use did not appear to vary significantly by type of ED. Of particular note is the finding that the group of patients with EDNOS did not have lower use of health services than those with AN or BN. This result is consistent with several studies suggesting that patients with EDNOS do not appear to represent individuals with a ‘less severe’ type of ED (Fairburn & Bohn, 2005). Our results underscore the importance of the EDNOS population both in terms of the absolute numbers of individuals who are being treated as well as their impact on the healthcare system in terms of greater service utilization.
Finally, although service use was elevated for those with an ED diagnosis compared with the controls, and increased significantly among the women with an ED in the year following diagnosis, inspection of average service use estimates suggests that this population is being under-treated. Specifically, the average number of mental health visits was well below the number of sessions of evidence-based psychotherapy (16–20) provided in randomized clinical trials of cognitive behavior therapy or interpersonal psychotherapy (Wilson & Shafran, 2005). It is important to note that the relatively modest number of mental health visits was observed in a health plan that provides such services without restricting the number of sessions. Our data do not permit us to ascertain the reasons for the under-treatment of EDs in this population. Other studies have shown that under-utilization of mental health services is common among patients with mental health disorders in general (Wang et al. 2005; Alonso et al. 2007) and that the under-utilization is the result of a complex interplay of external (e.g. insurance plan restrictions) and internal (e.g. reluctance to seek care) factors. Both patients and providers should be encouraged to engage in a more sustained treatment effort than is reflected in the average number of mental health sessions (4–5) received by the individuals whose data were examined in this study.
Several limitations of the study need to be considered. Men comprise a minority of individuals who develop an ED (Hudson et al. 2007) and are especially unlikely to receive treatment for an ED (Striegel-Moore et al. 2000). In the present study, only 19 men were found to have received health services for an ED during the calendar year of 2003; therefore, our sample was too small for further analyses concerning health services use among men. Only a small number of women with AN were identified. That individuals with AN comprise a minority among the population of individuals with EDs has been repeatedly documented in epidemiological and clinical studies (Hoek, 2006; Hudson et al. 2007). The large heterogeneity in health services use in women with AN, especially among those aged >35 years where one individual accounted for much of the significantly elevated health services use, raises questions of how best to test hypotheses about differential health services use. We considered but rejected censoring health services use or omitting from analysis the one case with particularly high service use because the small number of women with AN aged >35 years in our sample made it impossible to determine with conviction what values, if any, represent true outliers. Nonetheless, we caution that our finding that AN disproportionately contributed to elevated services use observed among women with an ED needs to be replicated in unrelated samples.
Institutional data are limited by the fact that diagnoses cannot be verified. Cases might have been treated for an ED for some time before providers finally entered the diagnosis into the patient record. Because providers may not apply diagnostic criteria with the rigor typically employed in research, each of the ED groups may have included cases experiencing a different ED and this lack of precision may have obscured differences among ED groups in health services use. The comparison sample may include some individuals whose ED had not yet been detected or labelled. As has been found in previous studies, health services use varied considerably among individuals with an ED. It is unclear to what extent this variability reflects true differences in clinical need versus lack of consistency in the provision of care for EDs. Finally, we caution that our findings may not generalize to individuals with more restrictive or no health insurance plans.
The study’s limitations are offset by several strengths, including the availability of objectively measured service use data that are probably more comprehensive and accurate than data that are based on self-reported service use (Garvin & Striegel-Moore, 2001; Marshall et al. 2001), the inclusion of a very large sample, and the availability of health services data over multiple years rather than the shorter time period of 12 months or less used in previous studies.
Acknowledgments
This publication was supported by National Institutes of Health (NIH) research grant no. MH066966 (principal investigator: R.S.M., Wesleyan University) funded by the National Institute of Mental Health (NIMH) and the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), awarded to the Kaiser Foundation Research Institute. Its contents are solely the responsibility of the authors and do not necessarily represent the official view of the NIH, NIMH, NIDDK or the Kaiser Foundation Research Institute.
Footnotes
Declaration of Interest
None.
  • Alonso J, Codony M, Kovess V, Angermeyer MC, Katz SJ, Haro JM, De Girolamo G, De Graaf R, Demyttenaere K, Vilagut G, Almansa J, Lepine JP, Brugha TS. the ESEMeD/MHEDEA 2000 Investigators. Population level of unmet need for mental healthcare in Europe. British Journal of Psychiatry. 2007;190:299–306. [PubMed]
  • Berkman ND, Bulik CM, Brownley KA, Lohr KN, Sedway JA, Rooks A, Gartlehner G. Prepared by the RTI International-University of North Carolina Evidence-Based Practice Center under contract no. 290-02-0016. Agency for Healthcare Research and Quality Publication no. 06-E010. Agency for Healthcare Research and Quality Publication; Rockville, MD: 2006. Management of Eating Disorders. Evidence report/technology assessment no. 135.
  • Bruch H. The Golden Cage. Harvard University Press; Cambridge, MA: 1978.
  • Cachelin FM, Striegel-Moore RH. Help seeking and barriers to treatment in a community sample of Mexican American and European American women with eating disorders. International Journal of Eating Disorders. 2006;39:154–161. [PubMed]
  • Fairburn CG, Bohn K. Eating disorder NOS (EDNOS): an example of the troublesome ‘not otherwise specified’ (NOS) category in DSM-IV. Behavior Research and Therapy. 2005;43:691–701. [PMC free article] [PubMed]
  • Freeborn DK, Pope CR. Promise and Performance in Managed Care: The Prepaid Group Practice Model. Johns Hopkins University Press; Baltimore, MD: 1994.
  • Garvin V, Striegel-Moore RH. Health services research for eating disorders in the United States: a status report and a call to action. In: Striegel-Moore RH, Smolak L, editors. Eating Disorders: Innovative Directions in Research and Practice. American Psychological Association; Washington, DC: 2001. pp. 135–152.
  • Hoek HW. Incidence, prevalence and mortality of anorexia nervosa and other eating disorders. Current Opinion in Psychiatry. 2006;19:389–394. [PubMed]
  • Hudson JI, Hiripi E, Pope HG, Jr, Kessler RC. The prevalence and correlates of eating disorders in the National Comorbidity Survey Replication. Biological Psychiatry. 2007;61:348–358. [PMC free article] [PubMed]
  • Kendler KS, MacLean C, Neale M, Kessler R, Heath A, Eaves L. The genetic epidemiology of bulimia nervosa. American Journal of Psychiatry. 1991;148:1627–1637. [PubMed]
  • Kessler CR, Demler O, Frank RG, Olfson M, Pincus HA, Walters EE, Wang P, Wells KB, Zaslavsky AM. Prevalence and treatment of mental disorders 1990 to 2003. The New England Journal of Medicine. 2005;352:2515–2523. [PMC free article] [PubMed]
  • Kraemer HC. Statistical issues in assessing comorbidity. Statistics in Medicine. 1995;14:721–733. [PubMed]
  • Kraemer HC, Kupfer DJ. Size of treatment effects and their importance to clinical research and practice. Biological Psychiatry. 2006;59:990–996. [PubMed]
  • Kraemer HC, Wilson KA, Hayward C. Lifetime prevalence and pseudocomorbidity in psychiatric research. Archives of General Psychiatry. 2006;63:604–608. [PubMed]
  • Krauth C, Buser K, Vogel H. How high are the costs of eating disorders – anorexia nervosa and bulimia nervosa – for German society? European Journal of Health Economy. 2002;3:244–250. [PubMed]
  • Lewinsohn PM, Hops H, Roberts RE, Seeley JR, Andrews JA. Adolescent psychopathology: I. Prevalence and incidence of depression and other DSM-III-R disorders in high school students. Journal of Abnormal Psychology. 1993;102:133–144. [PubMed]
  • Marshall R, Grayson D, Jorm A, O’Toole B. Are survey measures of medical care utilisation misleading? A comparison of self-reported medical care consumption with actual medical care utilisation. Australian Health Review. 2001;24:91–99. [PubMed]
  • Martin A, Leslie D. Psychiatric inpatient, outpatient, and medication utilization and costs among privately insured youths, 1997–2000. American Journal of Psychiatry. 2003;160:757–764. [PubMed]
  • Mathers C, Vos T, Stevenson C. AIHW catalogue no. PHE 17. Australian Institute of Heath and Welfare; Canberra: 1999. The Burden of Disease and Injury in Australia.
  • Simon J, Schmidt U, Pilling S. The health service use and cost of eating disorders. Psychological Medicine. 2005;35:1543–1551. [PubMed]
  • Spitzer RL, Kroenke K, Williams JBW. the Patient Health Questionnaire Primary Care Study Group. Validation and utility of a self-report version of PRIME-MD: The PHQ Primary Care Study. Journal of the American Medical Association. 1999;282:1737–1744. [PubMed]
  • Stice E, Telch CF, Rizvi SL. Development and validation of the Eating Disorder Diagnostic Scale: a brief self-report measure of anorexia, bulimia, and binge-eating disorder. Psychological Assessment. 2000;12:123–131. [PubMed]
  • Striegel-Moore RH. Health services research in anorexia nervosa. International Journal of Eating Disorders. 2005;37 (Suppl):S31–S34. [PubMed]
  • Striegel-Moore RH, Leslie D, Petrill SA, Garvin V, Rosenheck RA. One-year use and cost of inpatient and outpatient services among female and male patients with an eating disorder: evidence from a national database of health insurance claims. International Journal of Eating Disorders. 2000;27:381–389. [PubMed]
  • Walters EE, Kendler KS. Anorexia nervosa and anorexic-like syndromes in a population-based female twin sample. American Journal of Psychiatry. 1995;152:64–71. [PubMed]
  • Wang PS, Lane M, Olfson M, Pincus HA, Wells KB, Kessler RC. Twelve-month use of mental health services in the United States: results from the National Comorbidity Survey Replication. Archives of General Psychiatry. 2005;62:629–640. [PubMed]
  • Wilson TG, Shafran R. Eating disorders guidelines from NICE. Lancet. 2005;365:79–81. [PubMed]
  • Wonderlich SA, Mitchell JE. Eating disorders and comorbidity: empirical, conceptual, and clinical implications. Psychopharmacology Bulletin. 1997;33:381–390. [PubMed]