Henk van den Hoogen

Detecting Somatoform Disorders in Primary Care With the PHQ-15

PURPOSE Because recognition and management of patients with somatoform disorders are difficult, we wanted to determine the specificity, sensitivity, and the test-retest reliability of the 15-symptom Patient Health Questionnaire (PHQ-15) for detection of somatoform disorders in a high-risk primary care population. METHODS We studied the performance of the PHQ-15 in comparison with the Structured Clinical Interview for the Diagnostic and Statistical Manual-IV Axis I disorders (SCID-I) as a reference standard. From January through September 2006, we approached patients for participation. This study was conducted in primary care settings in the Netherlands. Patients aged between 18 and 70 years were eligible if they belonged to 1 or more of the following groups: (1) patients with unexplained somatic complaints, (2) frequent attenders, and (3) patients with mental health problems. For the SCID-I interview we invited all patients with a PHQ-15 score of 6 or greater and a random sample of 30% of patients with a PHQ-15 score of less than 6. The primary study outcomes were the sensitivity and specificity for the validity and the κ coefficient for the test-retest reliability. RESULTS Of 2,147 eligible patients, 906 (42%) participated (mean age 48 years, 62% female). At a cutoff level of 3 or more severe somatic symptoms during the past 4 weeks, sensitivity was 78% and specificity 71%. The test-retest reliability was 0.60. CONCLUSIONS The PHQ-15 is a valid and moderately reliable questionnaire for the detection of patients in a primary care setting at risk for somatoform disorders.

The accuracy of Patient Health Questionnaire-9 in detecting depression and measuring depression severity in high-risk groups in primary care.

OBJECTIVE Only half of patients with depressive disorder are diagnosed by their family physicians. Screening in high-risk groups might reduce this hidden morbidity. This study aims to determine the accuracy of the Patient Health Questionnaire-9 (PHQ-9) in (a) screening for depressive disorder, (b) diagnosing depressive disorder and (c) measuring the severity of depressive disorder in groups that are at high risk for depressive disorder. METHOD We compared the performance of the PHQ-9 as a screening instrument and as a diagnostic instrument to that of the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I) interview, which we used as reference standard. Three high-risk groups of patients were selected: (a) frequent attenders, (b) patients with mental health problems and (c) patients with unexplained complaints. Patients completed the PHQ-9. Next, patients who were at risk for depression (based on PHQ scores) and a random sample of 20% of patients who were not at risk were selected for a second PHQ-9 and the reference standard (SCID-I). We assessed the adequacy of the PHQ-9 as a tool for severity measurement by comparing PHQ-9 scores with scores on the 17-item Hamilton Depression Rating Scale (HDRS-17) in patients diagnosed with a depressive disorder. RESULTS Among 440 patients, both PHQ-9 and SCID-I were analyzed. The test characteristics for screening were sensitivity=0.93 and specificity=0.85; those for diagnosing were sensitivity=0.68 and specificity=0.95. The positive likelihood ratio for diagnosing was 14.2. The HDRS-17 was administered in 49 patients with depressive disorder. The Pearson correlation coefficient of the PHQ-9 to the HDRS-17 was r=.52 (P<.01). CONCLUSION The PHQ-9 performs well as a screening instrument, but in diagnosing depressive disorder, a formal diagnostic process following the PHQ-9 remains imperative. The PHQ-9 does not seem adequate for measuring severity.

Yield of opportunistic targeted screening for type 2 diabetes in primary care: The Diabscreen study

PURPOSE In screening for type 2 diabetes, guidelines recommend targeting high-risk individuals. Our objectives were to assess the yield of opportunistic targeted screening for type 2 diabetes in primary care and to assess the diagnostic value of various risk factors. METHODS In 11 family practices (total practice population = 49,229) in The Netherlands, we conducted a stepwise opportunistic screening program among patients aged 45 to 75 years by (1) identifying high-risk individuals (=1 diabetes risk factor) and low-risk individuals using the electronic medical record, (2) obtaining a capillary fasting plasma glucose measurement, repeated on a separate day if the value was greater than 110 mg/dL, and (3) obtaining a venous sample if both capillary fasting plasma glucose values were greater than 110 mg/dL and at least 1 sample was 126 mg/dL or greater. We calculated the yield (percentage of invited patients with undiagnosed diabetes), number needed to screen (NNS), and diagnostic value of the risk factors (odds ratio and area under the receiver operating characteristic curve). RESULTS We invited for a first capillary measurement 3,724 high-risk patients seen during usual care and a random sample of 465 low-risk patients contacted by mail. The response rate was 90% and 86%, respectively. Ultimately, 101 high-risk patients (2.7%; 95% confidence interval [CI], 2.2%–3.3%; NNS = 37) and 2 low-risk patients (0.4%; 95% CI, 0.1%–1.6%; NNS = 233) had undiagnosed diabetes (P <.01). The prevalence of diabetes among patients 45 to 75 years old increased from 6.1% to 6.8% as a result. Among diagnostic models containing various risk factors, a model containing obesity alone was the best predictor of undiagnosed diabetes (odds ratio = 3.2; 95% CI, 2.0–5.2; area under the curve=0.63). CONCLUSIONS The yield of opportunistic targeted screening was fair; obesity alone was the best predictor of undiagnosed diabetes. Opportunistic screening for type 2 diabetes in primary care could target middle-aged and older adults with obesity.

Development of blood pressure and the incidence of hypertension in men and women over an 18-year period: results of the Nijmegen cohort study

The objective of this study was to determine the factors that influence diastolic blood pressure (DBP) and the incidence of hypertension. In 1977, DBP and cardiovascular risk factors were measured in 7092 men and women. In 1995, 2335 subjects participated at a second screening. Those patients already under hypertension treatment in 1977 were excluded. The DBP tracking was studied in subjects not under hypertension treatment during the study. Hypertension was defined on two ways in the analysis: under current hypertension treatment or a DBP > 95 mmHg measured at rescreening in 1995. Forty-seven percent of the subjects with a DBP < 75 mmHg in 1977 remained in the same category of DBP in 1995, and 7% had become hypertensive. Of the 75-84 mmHg group in 1977, 40% stayed in the same category in 1995 and 15% became hypertensive. Of the 85-94 mmHg category, 30% stayed in the same category and 30% became hypertensive in 1995. Of the highest category in 1977 (> 95 mmHg), 64% were still in that category in 1995. Baseline DBP in 1977 had the highest predictive value for future DBP. Weight gain over the years increased the risk for future hypertension: in contrast, there was no risk at a low DBP without weight gain. There is no need for regular check-ups for those patients with a low DBP who experience no weight gain. Borderline DBP (85-95 mmHg), together with weight gain, increases the risk of development of hypertension. The risk was especially high for men in the lower socioeconomic class.

Screening for depression in high-risk groups: prospective cohort study in general practice

BACKGROUND Currently only about half of the people who have major depressive disorder are detected during regular health care. Screening in high-risk groups might be a possible solution. AIMS To evaluate the effectiveness of selective screening for major depressive disorder in three high-risk groups in primary care: people with mental health problems, people with unexplained somatic complaints and people who frequently attend their general practitioner. METHOD Prospective cohort study among 2005 people in high-risk groups in three health centres in The Netherlands. RESULTS Of the 2005 people identified, 1687 were invited for screening and of these 780 participated. Screening disclosed 71 people with major depressive disorder: 36 (50.7%) already received treatment, 14 (19.7%) refused treatment and 4 individuals did not show up for an appointment. As a final result of the screening, 17 individuals (1% of 1687) started treatment for major depressive disorder. CONCLUSIONS Screening for depression in high-risk populations does not seem to be effective, mainly because of the low rates of treatment initiation, even if treatment is freely and easily accessible.

Overweight and chronic illness—A retrospective cohort study, with a follow-up of 6–17 years, in men and women of initially 20–50 years of age☆

A retrospective cohort-study with a follow-up of 6-17 years was carried out in four general practices in the Netherlands in the period 1967-1983. In total 317 overweight men and 565 overweight women were followed in a continuous morbidity registration, starting in the year they were diagnosed as overweight (at age 20-50 years). Incidence of illnesses in this group was compared to that in a control group (444 men and 627 women not registered overweight), matched on sex, age and calendar-year at start of follow-up. The incidence of registered morbidity in the overweight group was higher for diabetes, gout, arteriosclerotic disease, arthrosis for men and women, and also for varicose veins for women. Increasing BMI at start of follow-up was associated with increased risk for most illnesses under study. For gout and arteriosclerotic disease in men, overweight appeared to be a risk factor at lower levels of BMI than in women.

What went and what came? Morbidity trends in general practice from the Netherlands

Background: Fourty years of morbidity registration in general practice is a milestone urging to present an overview of outcomes. This paper provides insight into the infrastructure and methods of the oldest practice-based research network in the Netherlands and offers an overview of morbidity in a general practice population. Changes in morbidity and some striking trends in morbidity are presented. Methods: The CMR (Continuous Morbidity Registration) collects morbidity data in four practices, in and around Nijmegen, the Netherlands. The recording is anchored in the Dutch healthcare system, which is primary care based, and where every citizen is listed with a personal GP. Trends over the period 1985–2006 are presented as a three year moving average. As an indicator for 20-year prevalence trends we used the annual percentage change (APC). We restricted ourselves to morbidity, which is presented to the family physician on a frequent basis (overall prevalence rates >1.0/1000/year). Results: The age distribution of the CMR population is comparable to the general Dutch population. Overall incidence figures vary between 1500/1000 ptyrs (men) and 2000/1000 ptyrs (women). They are quite stable over the years, whereas overall prevalence figures are rising gradually to 1500/2500 ptyrs (men) and 2000/3500 ptyrs (women). Increase in prevalence rates for chronic conditions is diffuse and gradual with a few striking exceptions. Conclusion: For morbidity patterns, the CMR database serves as a mirror of general practice. Practice-based research networks are indispensable for the development and maintenance of general practice as an academic discipline.

Skin diseases in family medicine: prevalence and health care use.

PURPOSE Ongoing care for patients with skin diseases can be optimized by understanding the incidence and population prevalence of various skin diseases and the patient-related factors related to the use of primary, specialty, and alternative health care for these conditions. We examined the recent prevalence of skin diseases in a defined population of family medicine patients, self-reported disease-related quality of life, extent and duration of skin disease, and the use of health care by patients with skin diseases. METHODS We undertook a morbidity registry-based epidemiological study to determine the prevalence of various skin diseases, using a patient questionnaire to inquire about health care use, within a network of family practices in the Netherlands with a practice population of approximately 12,000 citizens. RESULTS Skin diseases accounted for 12.4% of all diseases seen by the participating family physicians. Of the 857 questionnaires sent to patients registered with a skin disease, 583 (68.0%) were returned, and 501 were suitable for analysis. In the previous year, 83.4% of the patients had contacted their family physician for their skin disease, 17.0% had contacted a medical specialist, and 5.2% had consulted an alternative health care practitioner. Overall, 65.1% contacted only their family physician. Patients who reported more severe disease and lower quality of life made more use of all forms of health care. CONCLUSION This practice population-based study found that skin diseases account for 12.4% of diseases seen by family physicians, and that some skin problems may be seen more frequently. Although patients with more extensive skin diseases also obtain care from dermatologists, most patients have their skin diseases treated mainly by their family physician. Overall, patients with more severe disease and a lower quality of life seek more treatment.

Stage-Matched Nutrition Guidance: Stages of Change and Fat Consumption in Dutch Patients at Elevated Cardiovascular Risk

OBJECTIVE To assess the effects of stage-matched nutrition counseling on stages of change and fat intake. DESIGN Controlled clinical trial. SETTING 9 family practices in a family medicine practice network. PARTICIPANTS 143 patients at elevated cardiovascular risk, aged 40 to 70 years. INTERVENTION Intervention patients received stage-matched counseling from their family physician and a dietitian. Control patients received usual care. MAIN OUTCOME MEASURES Stages of change and fat intake were measured at baseline and after 6 and 12 months. ANALYSIS Chi-squared tests, t tests, and regression analyses (alpha = .05) were conducted. RESULTS More patients in the intervention group than in the control group were in the postpreparation stage after 6 months (70% vs 35%; P < .01) but not after 12 months (70% vs 55%; P = .10). Between 0 and 12 months, the reduction in total fat intake (-5.6% kcal vs -2.4% kcal) was largest in the intervention group. CONCLUSIONS AND IMPLICATIONS Stage-matched nutrition counseling promotes movement through stages of change, resulting in a reduced fat intake. Our results partly support stages of change as a tool for behavior change. Movement across stages of change was not an intermediating factor in the intervention effects. Research should focus on feasible ways to keep patients in the postpreparation stage.

Morbidity in early childhood, sex differences, birth order and social class.

STUDY OBJECTIVE The aim of the study was to investigate the relationship between morbidity in early childhood and gender, birth order, and social class. DESIGN The study used data collected in the Nijmegen Continuous Morbidity Registration. All presented morbidity and a number of personal data were available. SETTING The survey population was regional; four general practices in the east of The Netherlands. PARTICIPANTS The study population included all children born in the four practices from 1971 to 1984. They were followed up till the age of five (1537 children). MEASUREMENTS AND MAIN RESULTS Morbidity of children in the first five years was allocated to three degrees of seriousness and to 14 diagnosis groups. The morbidity of all children was analysed for boys and girls, first-born, second-born, and later-born children, and low, middle, and high social class. Boys presented more morbidity than girls; in particular, nervous disorders, lower respiratory tract infections, and accidents. First-born children presented more morbidity than later-born children; in particular, non-serious diseases, nervous disorders, and colds. Lower social class children presented more moderately serious and non-serious morbidity, colds, lower respiratory tract infections, and skin diseases. Logistic regression analysis showed that high social class, being the first-born child, and male gender were the most important factors related to presented morbidity in general practice. CONCLUSIONS High social class, low social class, gender, and being the first-born child were, in this sequence, related to morbidity in early childhood presented to the general practitioner in this study population.