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The newer psychiatric screening tools can help you identify several of the most common mental disorders and zero in on DSM-IV diagnoses. They've also been redesigned to take less of your time. [ABSTRACT FROM AUTHOR]

Background: Minor depression is a disabling condition commonly seen in primary care settings. Although considerable impairment is associated with minor depression, little is known about the course of the illness. Using a variety of clinical and functional measurements, this paper profiles the course of minor depression over a 1 year interval among a cohort of primary care patients., Method: Patients at a university-based primary care facility were screened for potential cases of depression and selected into three diagnostic categories: an asymptomatic control group; patients with a diagnosis of major depression; and, a third category, defined as minor depression, consisting of patients who reported between two and four symptoms of depression, but who failed to qualify for a diagnosis of major depression. Functional status, service use, and physical, social and mental health were assessed at baseline and at 3-month intervals for the ensuing year., Results: Respondents with a baseline diagnosis of minor depression exhibited marked impairment on most measures both at baseline and over the following four waves. Their responses in most respects were similar to, although not as severe as, those of respondents with a baseline diagnosis of major depression. Both groups were considerably more impaired than asymptomatic controls., Conclusions: Minor depression is a persistently disabling condition often seen in primary care settings. Although quantitatively less severe than major depression, it is qualitatively similar and requires careful assessment and close monitoring over the course of the illness.

We assessed whether a coexisting anxiety disorder predicts risk for persistent depression in primary care patients with major depression at baseline. Patients with major depression were identified in a 12-month prospective cohort study at a University-based family practice clinic. Presence of an anxiety disorder and other potential prognostic factors were measured at baseline. Persistent depressive illness (major depression, minor depression, or dysthymia) was determined at 12 months. Of 85 patients with major depression at baseline, 43 had coexisting anxiety disorder (38 with social phobia). The risk for persistent depression at 12 months was 44% greater [Risk Ratio (RR) = 1.44, 95% confidence interval (CI) 1.02-2.04] in those with coexisting anxiety. This risk persisted in stratified analysis controlling for other prognostic factors. Patients with coexisting anxiety had greater mean depressive severity [repeated measures analysis of variance (ANOVA), p < 0.04] and total disability days (54.9 vs 19.8, p < 0.02) over the 12-month study. Patients with social phobia had similar increased risk for persistent depression (RR = 1.40, 95% CI 0.98-2.00). A coexisting anxiety disorder indicates risk for persistent depression in primary care patients with major depression. Social phobia may be important to recognize in these patients. Identifying anxiety disorders can help primary care clinicians target patients needing more aggressive treatment for depression.

This study was designed to develop and validate a new computerized version of the Symptom Driven Diagnostic System for Primary Care (SDDS-PC) and examine its feasibility in primary care practice. One thousand and one patients (ages 18-70) coming for routine care to Kaiser-Permanente were screened on a self-administered symptom scale for major depression, alcohol and drug dependence, generalized anxiety, panic and obsessive compulsive disorders, and suicidal behavior. The screen was followed up by a brief diagnostic interview, administered by a nurse, which yielded a one-page summary of positive symptoms and a provisional computer-generated diagnosis for the physician. The physician reviewed the summary results and made a diagnosis. The nurse and physician were blind to the screen results. Patients were reinterviewed within 96 hours by a mental health professional (MHP) blind to previous results. The nurses' interviews ranged between 1.5 and 3.5 minutes for a screened positive diagnosis. Agreement between the nurse and physician diagnoses was excellent to moderate. Disagreement was usually in the direction of the physician ruling out major mental disorders in favor of subsyndromal or medical explanations. Only rarely did physicians diagnose disorders not detected by the nurse interview. Agreement between physician and MHP was moderate. Physicians using the SDDS-PC seldom made diagnoses that were not confirmed by the independent assessment of the MHP. The SDDS-PC may facilitate recognition of psychiatric disorders and minimize the physician's time in information gathering.

Background and Objectives: Anxiety and depression are highly prevalent and underdiagnosed in primary care. This study tested the seven-item Duke Anxiety-Depression Scale (DUKE-AD) in primary care adult patients as a screener for anxiety and depression as defined by the Diagnostic and Statistical Manual of Mental Disorders (DSM-III-R)., Methods: Receiver operating characteristic curves (ROC) and odds ratios were used to test screener accuracy, and sensitivities and specificities were used to test screener efficiency in patients with anxiety and/ or depression., Results: In 481 patients, the ROC area for patients with major anxiety disorders (panic disorder, agoraphobia, or generalized anxiety) was 72.3%. The ROC area for major depressive disorders (major depressive disorder and/or dysthymia) was 78.3%, and the ROC area for both major anxiety and/or depressive disorders was 76.2%. Odds ratios for these same groups after controlling for sociodemographic factors were 1.043, 1.057, and 1.053, respectively. Sensitivities and specificities for these groups at the DUKE-AD score cutoff point of > 30 on a 0-100 scale were 71.4% and 59.2%, 81.8% and 63.6%, and 73.9% and 66.1%, respectively., Conclusions: The DUKE-AD is a brief, easily scored questionnaire that serves as a valid screener for DSM-III-R anxiety and depression in the primary care setting.

Background: The authors define 6 groups of subthreshold psychiatric symptoms that do not meet the full criteria for a DSM-IV Axis I disorder and examine the clinical significance of these symptoms in an outpatient primary care sample., Methods: The subjects were 1001 adult primary care patients in a large health maintenance organization. Data on sociodemographic characteristics and functional impairment, including scores on the Sheehan Disability Scale, were collected at the time of the medical visit, and a structured diagnostic interview for DSM-IV disorders was completed by telephone within 4 days of the visit. Subthreshold symptoms were defined for depressive, anxiety, panic, obsessive-compulsive, drug, and alcohol symptoms., Results: Subthreshold symptoms were as or more common than their respective Axis I disorders: panic (10.5% vs 4.8%), depression (9.1% vs 7.3%), anxiety (6.6% vs 3.7%), obsessive-compulsive (5.8% vs 1.4%), and alcohol (5.3% vs 5.2%) and other drug (3.7% vs 2.4%) cases. Patients with each of the subthreshold symptoms had significantly higher Sheehan Disability Scale scores (greater impairment) than did patients with no psychiatric symptoms. Many patients (22.6%-53.4%) with subthreshold symptoms also met the full criteria for other Axis I disorders. After adjusting for the confounding effects of other Axis I disorders, other subthreshold symptoms, age, sex, race, marital status, and perceived physical health status, only depressive symptoms, major depressive disorder, and, to a lesser extent, panic symptoms were significantly correlated with the impairment measures., Conclusions: In these primary care patients, the morbidity of subthreshold symptoms was often explained by confounding mental, physical, or demographic factors. However, depressive symptoms and, to a lesser extent, panic symptoms were disabling even after controlling for these factors. Primary care clinicians who detect subthreshold psychiatric symptoms should consider a broad psychiatric assessment.

We evaluated a set of diagnostic screens for mental disorders in primary care. A self-administered screening questionnaire containing 26 items testing for multiple mental disorders was completed by 1,001 patients. Brief diagnostic modules, structured for psychiatric diagnoses, were subsequently administered to each patient by a research nurse. Operating characteristics of the screens were as follows: alcohol dependence (sensitivity [SE] 0.75; positive predictive value [PPV] 0.58; [kappa] 0.63), drug dependence (SE 0.50; PPV 0.50; kappa 0.50), generalized anxiety disorder (SE 0.74; PPV 0.44; kappa 0.44), major depressive disorder (SE 0.71; PPV 0.52; kappa 0.50), obsessive compulsive disorder (SE 0.71; PPV 0.15; kappa 0.21), and panic disorder (SE 0.71; PPV 0.43; kappa 0.48). Other chance-corrected measures of agreement are also reported, and criterion validity of the screens is examined. The results provide evidence that the screens discriminate between patients with symptomatology meeting established diagnostic criteria and those without. They detected previously unrecognized cases in this study and may prove to be valuable tools for psychiatric diagnosis in primary care.

The purpose of the study was to examine risk factors for nosocomial pneumonia in the surgical and medical/respiratory intensive care unit (ICU) populations. In a public teaching hospital, all cases of nosocomial pneumonia in the surgical and medical/respiratory ICUs (n = 20, respectively) were identified by prospective surveillance during a 5-yr period from 1987-1991. Each group of ICU cases was compared with 40 ICU control patients who did not acquire pneumonia, and analyzed for 25 potential risk factors. Surgical ICU patients were found to have consistently higher rates of nosocomial pneumonia than medical ICU patients (RR = 2.2). The strongest predictor for nosocomial pneumonia in both the surgical and medical/respiratory ICU groups was found to be prolonged mechanical ventilation (> 1 d) resulting in a 12-fold increase in risk over nonventilated patients. APACHE III score was found to be predictive of nosocomial pneumonia in the surgical ICU population, but not in the medical/respiratory ICU population. We conclude that certain groups deserve special attention for infection control intervention. Surgical ICU patients with high APACHE scores and receiving prolonged mechanical ventilation may be at the greatest risk of acquiring nosocomial pneumonia of all hospitalized patients.

Duke Health Profile (DUKE) subscales were compared for their ability to identify anxiety and depressive symptoms as measured by the State Anxiety Inventory (SAI) and the Center for Epidemiologic Studies Depression Scale (CES-D) in 413 primary care patients. The seven-item Duke Anxiety-Depression Scale (DUKE-AD) was the best symptom identifier, with sensitivities and specificities greater than 70% for high scores on both the SAI and CES-D. Also, baseline DUKE-AD scores predicted five clinical outcomes during an 18-month follow-up period, with receiver operating characteristic (ROC) curve areas ranging from 57.1 to 58.7%. Patients shown by DUKE-AD scores to be at high risk (>30, scale 0-100) for symptoms of anxiety and/or depression were more often women, less well-educated, not working, and with lower socioeconomic status. The severity of illness was higher than that of low-risk patients. Although the providers did not know which patients were at high risk, they made a clinical diagnosis of anxiety or depression more often in high-risk patients.

Objective: To determine whether students who take ambulatory rotations in internal medicine are more likely to choose internal medicine careers., Design: National survey., Setting and Participants: The intended sample was 1,650 senior U.S. medical students from 16 medical schools, of whom 1,244 (76%) responded. Representative schools nationwide were selected using a stratified, random-sampling method., Measurements: The questionnaire asked about characteristics of the ambulatory rotation, perceptions of internal medicine, and factors influencing students toward or away from an internal medicine career., Results: Ambulatory rotations were taken by 543 students (43%). Of these rotations, 73% were required, 74% were during the fourth year, 77% were in general internal medicine, 73% provided continuity of care, and 19% were during the medicine clerkship. Overall, 24% of the students chose careers in general (9%) or subspecialty internal medicine (15%). Thirty percent of the students who did ambulatory rotations planned internal medicine careers, compared with 19% of the students who had no rotation [odds ratio (OR) = 1.8, 95% confidence interval (CI) 1.3 to 2.4, p = 0.0001]. This association was of similar magnitudes for students completing required rotations (OR = 1.6, 95% CI 1.2 to 2.2, p = 0.002) and for students completing rotations before or in proximity to when they chose careers (OR = 1.7, 95% CI 1.1 to 2.4, p = 0.01). Ninety percent of the 543 students who had ambulatory rotations were satisfied with the experience. Thirty-eight percent of the highly satisfied students chose internal medicine careers, compared with 21% of the students who had low or moderate satisfaction (p = 0.0001)., Conclusions: An ambulatory rotation is strongly associated with positive perceptions of, attraction to, and choice of a career in internal medicine. Research is needed to determine specific components of an effective rotation. Further development of ambulatory rotations could help attract more students to internal medicine.

Objectives: To determine the prevalence of five mental disorders in primary care and to identify patient groups that have a relatively high prevalence of these disorders., Design: Two-stage case identification design that involves administration of a 16-item screening instrument followed by an independent diagnostic assessment., Setting: Three family practice offices in Rhode Island., Subjects: A total of 937 primary care patients completed the brief screen, 388 of whom completed the independent diagnostic assessment. PREVALENCE ESTIMATION: A Bayesian procedure was used to estimate prevalence of mental disorder from screening and assessment results. Independent assessments were based on the Structured Clinical Interview for DSM-III-R administered by a mental health professional., Results: The prevalence estimates were alcohol abuse or dependence, 3.2%; generalized anxiety disorder, 2.8%; major depressive disorder, 14.1%; obsessive-compulsive disorder, 2.2%; panic disorder, 6.2%; and any of the five disorders, 22.0%. The prevalence of any of the five disorders was higher in patients returning for follow-up visits (27.9%) than in those either presenting with a new illness (21.7%) or seeking a routine physical examination (11.8%). The combined prevalence was also higher in patients with a chronic medical problem (25.8%) than in those without (16.7%)., Conclusions: Patients returning for follow-up care and, to a lesser extent, those with chronic medical problems appear to be at increased risk of having a mental disorder. The practice of selectively screening new patients for mental health problems is questioned. Screening efforts in primary care should include established patients and those with chronic medical illnesses as well as new patients.

This study examines the recognition and treatment of emotional distress in physically healthy primary care patients who perceive themselves to be in fair or poor physical health. Patients (N = 892) from three private primary care practices completed a mental health screening form prior to their medical visit which included an overall assessment of their physical health (1 = excellent, 2 = good, 3 = fair, 4 = poor). Following the visit, their physicians completed a questionnaire that included the same physical health assessment item. The study group, physically healthy patients who perceive poor physical health (HPPPH), included those patients who rated their physical health as 2 or 3 points more impaired than it was rated by their physician. HPPPH (N = 39) were significantly more likely than other patients (N = 853) to report a prior psychiatric hospitalization (p < 0.05), marital difficulties (p < 0.01), recent missed work due to a mental health problem (p < 0.001), and a range of anxiety, depressive, and psychosomatic symptoms. However, HPPPH were also significantly more likely than other patients to receive excellent emotional health ratings (p < 0.001) from their physicians and were less likely to receive mental health treatment (p < 0.05). Detection of emotional distress may be particularly difficult in physically healthy patients who have low physical health perceptions. Identification of pessimistic physical health perceptions may serve as an indicator for underlying emotional distress.

Objective: To measure the predictive effect of patient-perceived family stress for health-related outcomes., Design: Prospective study of patients whose social stress and support were measured by self-report at baseline with the Duke Social Support and Stress Scale and used as predictors of outcomes during an 18-month follow-up period., Setting: Rural primary care community health clinic., Patients: Convenience sample of ambulatory adults., Intervention: None., Main Outcome Measures: Follow-up (one or more follow-up visits), frequent follow-up (more than six visits), referral and/or hospitalization (one or more), high follow-up severity of illness (upper-tertile mean Duke Severity of Illness Checklist scores), and high follow-up total charges (> or = $268)., Results: There were 413 patients with a mean age of 40.4 years. Of these, 58.6% were women; 47.2%, African American; 52.8%, white; 56.7%, married; 77.2%, wage earners or housekeepers; and 52.3% had more than one health problem. At baseline, patients with high self-reported family stress (upper-tertile Duke Social Support and Stress Scale scores) had lower quality of life, functional health, and social support scores and higher dysfunctional health and social stress scores than other patients. High baseline family stress scores (scale of 0 to 100) predicted follow-up (odds ratio [OR] = 1.014), frequent follow-up (OR = 1.021), referral and/or hospitalization (OR = 1.018), high severity of illness at follow-up (OR = 1.016), and high follow-up charges (OR = 1.018) after controlling for the effects of social support, age, gender, and race. Family stress scores were stronger predictors of these outcomes than the other social stress and support variables., Conclusion: The finding of patient-perceived family stress as a risk factor for unfavorable health-related outcomes suggests the need for early detection and treatment of family stress by family physicians.

Objective: To pilot test the feasibility and validity of new, brief, structured, physician-administered diagnostic interviews for six mental disorders in primary care patients identified from a patient-completed screen., Design: Comparison of the new diagnostic interviews with the Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders, Revised Third Edition, version P (SCID-P), administered independently by a mental health professional., Setting: Three Rhode Island family practices and a South Carolina family medicine residency., Subjects: Consecutive patients of either sex, aged 18 to 70 years, who were able to read and write English were eligible for screening; 775 patients completed the screen. Of these, 246 screened positive for at least one disorder and received at least one module. Of these, 158 received a SCID-P interview., Results: The diagnostic interviews were found useful by all 16 participating physicians. Eighty-seven percent reported that they diagnosed a new mental problem, and 93% said that the modules clarified suspected symptoms. However, 26% thought the procedure was too time consuming, and 80% believed that reimbursement would be necessary for routine use. Detection of cases using the diagnostic modules was associated with physician intervention and with independent assessment of patient impairment. Over three quarters of the patients (76.4%) who were classified as positive by the physician interview for any of the diagnoses also tested positive on the SCID-P. Two thirds of the patients (62.7%) with at least one of the disorders (according to SCID-P) were classified by the physician interview as having a mental disorder. However, the operating characteristics varied across specific disorders and indicated a need for revisions and testing in larger samples., Conclusions: These brief physician-administered diagnostic interview modules are part of a screening and diagnostic system (Symptom-Driven Diagnostic System for Primary Care [SDDS-PC], The UpJohn Co, Kalamazoo, Mich) to detect mental disorders in primary care patients. The pilot results help establish their feasibility and validity.

Objective: To develop, validate, and cross-validate a patient-completed screen for multiple mental disorders in primary care., Design: Comparison of a patient self-report screen with an independent diagnostic assessment by mental health professionals using the Structured Clinical Interview for DSM-III-R diagnoses as criterion standard., Setting: Three Rhode Island family practices and a South Carolina family medicine residency., Subjects: In the initial validation study, 937 patients in Rhode Island were screened; 388 were interviewed. In the cross-validation study, 775 patients were screened in Rhode Island and South Carolina, and 257 were interviewed. SCREEN ITEMS: Sixty-two questions pertaining to nine mental disorders and suicidal ideation., Results: A 16-item screen remained after analysis of item and scale performance. Sensitivity, specificity, and positive predictive value, respectively, were calculated for the following scales: alcohol abuse or dependence (62%, 98%, and 54%), generalized anxiety disorder (90%, 54%, and 5%), major depression (90%, 77%, and 40%), obsessive-compulsive disorder (65%, 73%, and 5%), panic disorder (78%, 80%, and 21%), and suicidal ideation (43%, 91%, and 51%). Replication in a new sample showed attenuated but acceptable operating characteristics for cross-validation., Conclusions: The Symptom-Driven Diagnostic System for Primary Care screen assesses multiple mental disorders that are common to primary care. It serves as a sensitive, valid, and patient-friendly first step in a new approach to recognizing and managing mental disorders in primary care. Finally, it aids the primary care clinician in selecting an appropriate diagnostic interview module for the disease for which the patient screened positive.

Background: The purpose of this study was to develop and evaluate a computer system that would translate patient diagnoses noted by a physician into appropriate International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes and maintain a patient-specific up-to-date problem list., Methods: The intervention consisted of a computerized list (dictionary) of diagnoses, including practice-specific synonyms and abbreviations, linked to their corresponding ICD-9-CM codes. To record the diagnoses for the office visit before the intervention, physicians used International Classification of Health Problems in Primary Care (ICHPPC-2) codes. After the intervention, physicians used their own words or checked previously identified diagnoses on the computer-generated problem list. The computer then identified the correct ICD-9-CM code. Accuracy of coding was compared before and after the new computerized system was implemented., Results: Visits in which all diagnoses matched increased from 58% to 76% (P < .001) with use of the computer system. Visits in which no computer diagnoses matched the chart decreased from 22% to 8% (P < .001). Errors of omission declined from 38% to 18% (P < .001). Errors of commission decreased from 19% to 11% (P = .006). Overall accuracy increased from 62% to 82% (P < .001)., Conclusions: Outpatient medical diagnosis coding can be simplified and accuracy improved by using a computerized dictionary of practice-specific diagnoses and synonyms linked to appropriate ICD-9-CM codes. Such a system provides a computer-generated problem list that accurately reflects the chart and assists with prompted coding on subsequent visits.

Two measures of health status and severity of illness were tested as indicators of patient case-mix to predict health-related outcomes in a rural primary care community health clinic, using a convenience sample of 413 ambulatory adults (mean age = 40.4 years: 58.6% women, and 47.2% black). At baseline; patients completed the Duke Health Profile, and providers completed the Duke Severity of Illness Checklist. During the 18-month follow-up study, patients experienced the following outcomes: at least one follow-up visit (74.3%), more than six visits (20.6%), at least one referral or hospital admission (17.3%), upper tertile severity scores (24.9%), and upper tertile office charges (24.9%). Baseline physical health, perceived health, and severity scores were statistically significantly predictive of all five outcomes. Predictive accuracy (i.e., area under the receiver operating characteristic curves) for outcome probabilities estimated from a case-mix model of physical health, severity, age, gender, and race was 72.3% for follow-up, 69.7% for frequent follow-up, 70.5% for referral and/or hospital stay, 65.7% for high follow-up severity of illness, and 67.6% for high follow-up charges. These data support health status and severity of illness as case-mix indicators and outcome predictors of follow-up utilization, severity of illness, and cost in the primary care setting.

The Symptom Driven Diagnostic System for Primary Care (SDDS-PC) is a new computerized clinical procedure to assist primary care physicians in diagnosing mental disorders during the course of routine practice. It has three components: (1) a 5-minute patient-administered 16-item screening questionnaire, (2) six 5-minute physician-administered diagnostic interview modules based on DSM-III-R criteria, and (3) a longitudinal tracking form. The SDDS-PC covers five disorders (major depression, panic disorder, alcohol abuse or dependence, generalized anxiety disorder, and obsessive compulsive disorder) as well as suicidal ideation. Patients who screen positive for a disorder receive the corresponding diagnostic interview module. Patients who meet mental disorder criteria on the diagnostic interview module are then followed with the longitudinal tracking form. Minor or subsyndromal conditions are also addressed at the physician's discretion. This article describes the development of SDDS-PC and summarizes results from two studies which involved comparisons between the SDDS-PC and independently administered full-length structured diagnostic interviews.

Objective: To determine in primary care settings the prevalence, clinical characteristics, and functional status of patients who have anxious and depressive symptoms who did not meet diagnostic criteria for major mood and anxiety diagnoses., Design: Patients were screened with the General Health Questionnaire and interviewed if they exceeded the cutoff score of 5. Also, one patient whose score was below the cutoff was interviewed for every two patients whose scores were above the cutoff., Setting: Five primary care sites in the United States, France, and Australia., Patient: Two hundred sixty-seven patients presenting to their primary care physicians for general medical care and follow-up., Methods: Structured diagnostic interviews were conducted and ratings of anxiety, depression, and functional impairment were obtained by trained interviewers., Results: After adjustments for sampling, 5% of the patients had symptoms of anxiety, depression, and functional impairment, without meeting formal criteria for a major DSM-III-R mood or anxiety disorder. This was comparable to the prevalence of diagnosable DSM-III-R mood disorders but only one-fourth the prevalence of diagnosable anxiety disorders. These patients who had subsyndromal symptoms had rates of lifetime psychiatric disorders and prior psychiatric treatment comparable to those of patients meeting criteria for major mood and anxiety disorders., Conclusion: The comparable rates of symptomatic distress, functional impairment, and prior psychiatric illness and treatment suggest that patients with subsyndromal anxiety and depressive symptoms warrant clinical recognition and possibly specific treatment.

Seventeen Hispanic elementary schoolboys with violent behavior problems were compared with 27 matched control students who were not overtly violent at school. Violent boys were significantly more likely to not live with their fathers, to have unmarried parents, to have more siblings, and to have fathers who never show them affection. Parents of violent boys were more likely than those of matched control students to use spanking for discipline and to admit that they rarely express affection for their sons.

Background: Depression is one of the most common medical disorders seen in primary care practice. The purpose of this study was to estimate the prevalence of depressive symptoms in primary care patients across the United States, and to describe patient characteristics that may be associated with an increased likelihood of those symptoms., Methods: Survey data were obtained from a sample of 75,858 patients who visited one of 765 participating primary care physicians for any reason from February 1991 to September 1991. The outcome measurement used was the index score for presence of depressive symptoms on the Zung Self-rating Depression Scale., Results: The overall prevalence of clinically significant depressive symptoms was found to be 20.9%, but the percentage of patients citing depression as a reason for visit (1.2%) was markedly lower. Patients who perceived their health as poor were more likely to have severe depressive symptoms than patients who perceived their health as excellent. Women, those in older age groups, and those with lower levels of education were more likely to have clinically significant depressive symptoms than men, those in younger age groups, and those with higher levels of education. When classified by marital status within each sex, married men and women were the least likely to have clinically significant depressive symptoms., Conclusions: Clinically significant depressive symptoms are highly prevalent in primary care patients; however, depression is an infrequent patient complaint. There are certain patient characteristics that may cue the physician to consider depression in the differential diagnosis, particularly the patient's self-perception of his or her overall health status. In addition, certain other subsets of patients are at increased risk of depression, such as women, those in older age groups, and those of lower socioeconomic status.

Background: The Medical Outcomes Study Short-Form General Health Survey (MOS-SF) and the Duke Health Profile (DUKE) are brief, reliable, valid, and practical health status measures with potential applications in clinical research. We compared patient acceptance, ease of completion, and adequacy of capture (of the patient's self-perception of health) of these instruments in a primary care setting., Methods: The MOS-SF, DUKE, and assessment questionnaires were administered to 79 patients in a university-based family practice. Patient acceptance of each instrument was assessed with Likert scale questions. Patients then compared the two instruments for relative ease of completion, preference, and completeness of capture., Results: Both forms assessed each item well, but the DUKE scored statistically significantly better than the MOS-SF on four of six patient acceptance questions and both ease of completion items. There were no significant differences for capture items., Conclusions: Although both instruments are well accepted, investigators may favor the DUKE over the MOS-SF for situations in which patient acceptance or ease of completion is a key issue.

The health-related quality of life of 170 adult insulin-dependent diabetic patients was measured cross-sectionally to compare a disease-specific instrument, Diabetes Quality of Life (DQOL) questionnaire, and two generic instruments, the Duke Health Profile (DUKE) and the General Health Perceptions Questionnaire (GHP). The generic measures provided as much or more information about health-related quality of life as the disease-specific instrument. This was demonstrated both by comparison of the DQOL with the DUKE and GHP and by comparison of the disease-specific with the generic components of a modified version of the DQOL. Patients with the diabetic complication of nephropathy had increased worry over their health and lower general health perceptions. Neither the duration of diabetes nor the intensity of insulin therapy, however, was found to have a statistically significant effect on any of the health-related quality of life scores. Nondiabetic factors, such as the comorbidity, nondiabetic medications, marital status, social relationships, and family arguments were found to be predictors of health-related quality of life more often than the diabetic factors duration of diabetes, complications, and intensity of insulin therapy. These analyses suggest the clinical value of using generic questionnaires to measure health-related quality of life and psychosocial factors to identify nondiabetic problems that might respond to intervention, thereby potentially enhancing the effect of diabetes-specific therapy.

The Duke Severity of Illness Checklist (DUSOI) was evaluated on 414 primary care adult patients using data collected both by medical providers at the time of the patient visit and later by a chart auditor. Severity scores for individual diagnoses were determined by summing the ratings for four non-disease-specific parameters: symptom level, complications, prognosis without treatment, and expected response to treatment. Mean diagnosis severity scores (scale 0-100) among the 21 most prevalent diagnoses varied from a low of 13.9 for menopausal syndrome to a high of 43.0 for sprains and strains. An overall severity score was calculated by combining diagnosis severity scores and giving highest weights to the most severe diagnoses. Provider-generated overall severity scores (mean = 43.3) and auditor-generated overall severity scores (mean = 38.9) were significantly correlated (coefficient of agreement = 0.59, p < 0.0001). Diagnoses varied in their individual contribution to the overall severity score, from 8.9% for lipid disorder to 90.0% for sprains and strains. Separate comorbidity severity scores were calculated to measure the severity of all of each patient's health problems except the diagnosis under study. For example, patients with menopausal syndrome had co-existing health problems which generated a high mean comorbidity severity score of 43.2, while patients with sprains and strains had a low mean comorbidity score of 4.7. The DUSOI Checklist can be used in the clinical setting by both providers and auditors to produce quantitative severity scores (by diagnosis, overall, and for comorbidity) which are based entirely upon clinical judgment. This method should be useful in controlling for severity of illness in clinical studies and indicating the outcome of medical care in terms of reduction in severity of illness following medical interventions.

Background: Inexpensive reminder systems are needed to ensure that primary care physicians consistently provide health maintenance services to their patients. The purpose of this study was to determine the effectiveness of a simple, inexpensive health assessment form in place of the standard chart note to increase physician compliance with mammography recommendations., Methods: A health assessment form with a reminder for screening mammography was implemented in a family practice in 1987 and was to be used as the official chart record for health maintenance visits. The charts of all women 50 years of age and older with two or more office visits during the years 1985 through 1988 were audited to determine how many mammograms were completed. Results were compared with mammography completion rates at a similar practice that did not use a health assessment form., Results: The study group showed a significant increase in mammography completion after implementation of the form, with compliance increasing from 7.3% to 32.0% (P < .001). The comparison group had an increase in mammogram completion from 12.0% to 17.8% (P < .001). The difference between the changes in rates of mammography in the two practices was statistically significant (P < .001). Among women in the study group who had a scheduled health maintenance visit during the study period the average rate of mammography completion increased from 21.2% to 65.2% (P < .001)., Conclusions: The addition of a health assessment form with a mammography reminder at the health maintenance visit is an effective and inexpensive method to increase compliance with mammography.

Quality of life and functional health were measured cross-sectionally for 314 adult ambulatory primary care patients in a rural clinic and found to be much better for patients with low severity of illness who required no confinement to home because of health problems, than for patients with high severity of illness who required confinement. Severity of illness was the strongest predictor for patient-reported physical health function and for patient quality of life when assessed by the health provider. Confinement was the strongest predictor for patient quality of life when assessed by the patient. There was very little agreement between patient-assessed and provider-assessed quality of life. Family stress was the strongest predictor of function in terms of mental health, social health, general health, self-esteem, anxiety, and depression. These data suggest that clinicians should direct increased attention to patient-assessed quality of life, patient-reported functional health status, and psychosocial factors such as family stress in an effort to improve medical outcomes.

Background: State and federal statistics describe a lower incidence of rape and child abuse than is suggested by community prevalence rates. Victims of sexual assault may experience numerous short-term and long-term effects on psychosocial and physical health. They tend to use medical services more than nonvictims and are also more likely to seek medical care than mental health services. This study seeks to determine the prevalence of sexual victimization in a family practice setting., Methods: Women 18 years of age or older presenting to a combined family practice and university student health center for a routine Papanicolaou smear or a health maintenance visit voluntarily completed an anonymous sexual experiences questionnaire of 28 close-ended items., Results: Of 416 consecutive women, 405 agreed to participate. Of 147 family practice patients, 47.6% reported some type of contact sexual victimization during their lifetimes; 25.2% reported rape or attempted rape. Of 258 student health service patients, 57% had experienced contact sexual victimization, and 28.7% reported rape or attempted rape. Of those who reported unwanted sexual contact, 30% of the family practice patients felt they would not be comfortable discussing the experience with medical personnel, and 44.9% of the student health service patients would not feel comfortable doing so., Conclusions: Women with a history of unwanted sexual contact may be common in family practice and student health settings. Although treatment can be beneficial, many of these patients are not comfortable discussing their experiences with medical personnel. These findings suggest that there is potential benefit in obtaining a sexual victimization history as part of routine care, but further research will be necessary to assess the clinical benefit of such an approach.

The Duke Social Support and Stress Scale (DUSOCS) was validated in 249 adult family practice patients using the Family Strengths, the Family Inventory of Life Events, and the Duke Health Profile (DUKE) as comparison instruments. Validity was supported in that the DUSOCS family support measure had the clinically expected positive associations with DUKE health measures (regression coefficients of +7.4 to +18.7) and negative associations with DUKE anxiety and depression measures (-2.0 to -17.2). DUSOCS family stress had negative associations with the health measures (-11.6 to -34.5) and positive associations with anxiety and depression (+18.9 to +32.1). Family and non-family stress contributed more than severity of illness to elevated levels of anxiety and depression and lowered levels of mental health, social health, and self-esteem, while these same stresses contributed only half as much as severity of illness to lowered physical health.

Background: Primary care physicians often do not document a psychiatric diagnosis when prescribing psychotropic medications. Recent literature suggests the potential benefit of tricyclic antidepressants (TCAs) in a number of nonpsychiatric conditions (low back pain, peptic disease, fibrositis, headache, peripheral neuropathy, rheumatoid disease, and irritable colon)., Methods: Data from the 1985 National Ambulatory Medical Care Survey (NAMCS) were used to categorize the primary diagnoses given during office visits in which tricyclic antidepressants were prescribed. Comparisons were made across specialties., Results: Primary care physicians prescribed tricyclic antidepressants in 1% of all visits (an estimated 2,892,000 visits per year). Whereas 50% of these visits at which TCAs were prescribed were for documented psychiatric illnesses or conditions, 15% were for nonpsychiatric TCA-responsive conditions. The majority of visits by patients with these disorders were to primary care physicians. The pattern of TCA prescribing for these disorders by primary care physicians parallels that of other medical specialties except that primary care physicians prescribed TCAs for nonpsychiatric TCA-responsive disorders less frequently than did other medical specialists., Conclusions: When nonpsychiatric TCA-responsive disorders are included, primary care physicians document with appropriate diagnoses 15% more of their TCA prescriptions than previous studies have indicated. An understanding of the 35% of TCA prescriptions that do not show proper documentation will require further study and information not available from the NAMCS:

This review assesses past progress, current practices, and future needs in research and clinical practice involving the social support needs of cancer patients. A review is given of the various conceptualizations of the social support/stress paradigm and of the state of the art of measuring social support. Then the current work in the field of social support and cancer is considered and an argument is made for the use of social support measures, which are relevant to the experiences of the cancer patient. Potential adaptations of an existing instrument (the Duke-UNC Functional Social Support Scale) are demonstrated, and a taxonomy of stages of cancer that would require additional types of social support measures and interventions is outlined. Interventions are discussed in terms of the traditional support groups as well as interventions by the oncologist and primary care physician. An argument is made for the inclusion of quality of life or functional measures as outcomes in clinical trials and the care of the cancer patient. Finally, the need to address the existential, philosophic, or religious issues surrounding cancer and its treatment is discussed.

We describe the relationship of depression and depressive symptoms to disability days and days lost from work in 2980 participants in the Epidemiologic Catchment Area Study in North Carolina after 1 year of follow-up. Compared with asymptomatic individuals, persons with major depression had a 4.78 times greater risk of disability (95% confidence interval, 1.64 to 13.88), and persons with minor depression with mood disturbance, but not major depression, had a 1.55 times greater risk (95% confidence interval, 1.00 to 2.40). Because of its prevalence, individuals with minor depression were associated with 51% more disability days in the community than persons with major depression. This group was also at increased risk of having a concomitant anxiety disorder or developing major depression within 1 year. We conclude that the threshold for identifying clinically significant depression may need to be reevaluated to include persons with fewer symptoms but measurable morbidity. Only by changing our nosology can the societal impact of depression be adequately addressed.

The Duke Health Profile (DUKE) is a 17-item generic self-report instrument containing six health measures (physical, mental, social, general, perceived health, and self-esteem), and four dysfunction measures (anxiety, depression, pain, and disability). Items were derived from the 63-item Duke-UNC Health Profile, based upon face validity and item-remainder correlations. The study population included 683 primary care adult patients. Reliability was supported by Cronbach's alphas (0.55 to 0.78) and test-retest correlations (0.30 to 0.78). Convergent and discriminant validity were demonstrated by score correlations between the DUKE and the Sickness Impact Profile, the Tennessee Self-Concept Scale, and the Zung Self-Rating Depression Scale. Clinical validity was supported by differences between the health scores of patients with clinically different health problems. Patients with painful physical problems had a DUKE physical health mean score of 58.1, while patients with only health maintenance problems had a mean score of 83.9 (scale: 0.0 = poorest health and 100.0 = best health). Patients with mental health problems had a DUKE mental health mean score of 49.2, in contrast to 75.7 for patients with painful physical problems and 79.2 for those with health maintenance. The DUKE is presented as a brief technique for measuring health as an outcome of medical intervention and health promotion.

The self-reported health status and life satisfaction of 286 first-year Duke University medical students in four consecutive classes were measured at the beginning and end of the school year and compared statistically with relevant sociodemographic and behavioral factors. Health status, quantitated in terms of Duke Health Profile scores, was generally lower for women than for men. Although there was a definite trend of worsening along all parameters of health and satisfaction during the year for both women and men, the most marked change was the increase in depressive symptoms. The students who were very satisfied with life had fewer symptoms of depression and anxiety; higher self-esteem, better physical, mental, and social health; stronger social ties; more physical activity; more sleep; and fewer stressful life events. Strong social ties was the factor most positively related to better health and life satisfaction.

A 14-item, self-administered, multidimensional, functional social support questionnaire was designed and evaluated on 401 patients attending a family medicine clinic. Patients were selected from randomized time-frame sampling blocks during regular office hours. The population was predominantly white, female, married, and under age 45. Eleven items remained after test-retest reliability was assessed over a 1- to 4-week follow-up period. Factor analysis and item remainder analysis reduced the remaining 11 items to a brief and easy-to-complete two-scale, eight-item functional social support instrument. Construct validity, concurrent validity, and discriminant validity are demonstrated for the two scales (confidant support--five items and affective support--three items). Factor analysis and correlations with other measures of social support suggest that the three remaining items (visits, instrumental support, and praise) are distinct entities that may need further study.