OBJECTIVE: We examined the relationships among depressive symptoms, physician diagnosis of depression, and charges for care.
STUDY DESIGN: We used a prospective observational design.
POPULATION: Five hundred eight new adult patients were randomly assigned to senior residents in family practice and internal medicine.
OUTCOMES MEASURED: Self-reports of health status assessment (Medical Outcomes Study Short Form-36) and depressive symptoms (Beck Depression Inventory) were determined at study entry and at 1-year follow-up. Physician diagnosis of depression was determined by chart audit; charges for care were monitored electronically.
RESULTS: Symptoms of depression and the diagnosis of depression were associated with charges for care. Statistical models were developed to identify predictors for the occurrence and magnitude of medical charges. Neither depressive symptoms nor diagnosis of depression significantly predicted the occurrence of charges in the areas studied, but physician diagnosis of depression predicted the magnitude of primary care and total charges.
CONCLUSIONS: A complex relationship exists among depressive symptoms, the diagnosis of depression, and charges for medical care. Understanding these relationships may help primary care physicians diagnose depression and deliver primary care to depressed patients more effectively while managing health care expenditures.
- Diagnosis of depression is associated with higher costs.
- Failure to diagnose depression may raise laboratory costs.
- Diagnosis of depression with few symptoms deserves study.
As US medical care has evolved, physicians have been expected to recognize and treat mental health problems in primary care,1 “the hidden mental health network.”2,3 Primary care clinicians are expected to observe signs of possible mental health problems, incorporate those observations into differential diagnoses, and decide which problems to treat or monitor and which to send for consultation or referral.4 These decisions can have important financial and health consequences, especially in dealing with depression.
Depression is common in the community5 and among primary care patients, 6% to 9% of whom report symptoms of major depression.6-8 An additional 10% to 15% of primary care patients show signs of less severe but important depressive problems.8,9 “Subclinical depression” is marked by symptoms that might indicate physical disease, signs of depression, or both; recognition may affect costs of care.10-13
Research has begun to define the impact of depression on processes14 and costs of care.15-17 For example, elderly patients reporting symptoms of depression have more laboratory tests performed at higher cost.15 Primary care patients diagnosed with depression had total yearly health care costs almost double those of patients without depression, with increased costs secondary to higher medical utilization and not mental health specialty treatment.16 There is evidence that depressive symptoms and the diagnosis of depression may predict increases in costs of care.17
Costs of care might be influenced by the model used by primary care physicians to identify depression.18 For example, a biomedical model might use more laboratory testing to reach a diagnosis of depression by exclusion, whereas a psychosocial model would use fewer laboratory tests while the physician pursues psychosocial issues. To identify optimal strategies for practice, it is important to determine how symptoms of depression and physician diagnosis of depression might interrelate and affect medical care costs.
We explored the following hypotheses: (1) that there are significant differences in each type of charge determined by the presence or absence of symptoms and diagnosis of depression; (2) that depressive symptoms and physician diagnosis of depression predict the occurrence of charges for specialty care, emergency services, laboratory services, and hospitalization; and (3) that depressive symptoms and physician diagnosis of depression predict the magnitude of medical charges for primary care, specialty care, emergency services, laboratory services, hospitalization, and total charges.
Methods
Study design
Five hundred eight adult nonpregnant new patients were assigned randomly to primary care providers in either family practice or general internal medicine clinics in a teaching hospital. Children younger than 18 years and pregnant women were excluded because they are not followed in general internal medicine. At enrollment and follow-up, self-reported depression was determined with the abbreviated Beck Depression Inventory (BDI)19 and health status was measured with the Medical Outcomes Studies Short Form-36 (MOS SF-36).20 To avoid altering clinician practice, physicians were not provided with either score. Physicians included 105 senior residents (second and third year) in family practice and general internal medicine.
Measures
Beck Depression Inventory. The BDI is a reliable and valid instrument used to measure depressive symptoms.19,21 The abbreviated version includes 13 items weighted and summed to produce a total score.19 A score between 9 and 15 indicates moderate depression, and a score of at least 16 indicates severe depression. The BDI is used widely for screening and to assess treatment efficacy.22 In this study, a BDI score between 0 and 8 was considered “low” or normal, and a score of at least 9 was considered “high” or indicative of symptoms of depression.