The Patient Centered Assessment Method (PCAM): integrating the social dimensions of health into primary care.

BACKGROUND: Social dimensions of health are known to contribute to what is often termed "patient complexity," which is particularly common among patients with multimorbidity. Health-care professionals require tools to help them identify and manage these aspects of patient needs. OBJECTIVES: To examine: (i) the Patient Centered Assessment Method (PCAM), a tool for assessing patient complexity in ways that are sensitive to the biopsychosocial dimensions of health, in primary care settings in Scotland; (ii) the impact of the PCAM on referral patterns and its perceived value; and (iii) the PCAM's perceived applicability for use in a complex patient population. DESIGN: Two studies are described: (i) a mixed-methods prospective cohort study of the implementation of the PCAM in primary care clinics; and (ii) a qualitative exploratory study that evaluated the value of the PCAM in a complex patient population. RESULTS: Use of the PCAM did not impact patient satisfaction or perception of practitioners' empathy, but it did increase both the number of onward referrals per referred patient (9-12%) and the proportion of referrals to non-medical services addressing psychological, social, and lifestyle needs. Nurses valued the PCAM, particularly its ability to help them address psychological and social domains of patients' lives, and found it to be highly relevant for use in populations with known high complexity. CONCLUSIONS: The PCAM represents a feasible approach for assessing patient needs with consideration to the social dimensions of health, and allows practitioners to refer patients to a broader range of services to address patient complexity.

Socioeconomic status of patients receiving electroconvulsive therapy.

This study describes the relationship between socioeconomic deprivation and electroconvulsive therapy (ECT) prescription and outcomes. Two research questions are addressed in this study: (1) Does the rate of ECT prescription increase with deprivation? and (2) Does deprivation influence ECT outcomes? Electroconvulsive therapy outcomes, of consecutive patients from Aberdeen, were compared across socioeconomic groups determined by the Scottish Index of Multiple Deprivation (SIMD) quintiles. A primary care sample, invited to complete the Hospital Anxiety and Depression Scale (HADS), was used for comparison. The proportion of patients in the most affluent quintile (32%) was greater than that in the least affluent (9%): this reflects the distribution of the local population, unlike the prevalence of depressive disorder, as demonstrated in our primary care group. Severity of depressive symptoms in patients receiving ECT was no different across the socioeconomic groups: before ECT (χ = 8.056; df = 4; P = 0.09), after ECT (χ = 6.035; df = 4; P = 0.197); nor was the total change in score (χ = 4.367; df = 4; P = 0.359). There were no differences among the SIMD quintiles for the number of ECT treatments administered (χ = 6.076; df = 4; P = 0.194) or the number of courses of ECT each patient had during contact with the service (χ = 6.505; df = 4; P = 0.164).Socioeconomic deprivation has no effect on the rate of ECT prescription or treatment outcomes despite a higher proportion of patients with severe depressive symptoms in the least affluent groups in a local community sample.

Recognition and subsequent treatment of patients with sub-threshold symptoms of depression in primary care.

BACKGROUND: Non-psychiatric physicians are better at correctly ruling out depressive disorders than appropriately recognising them. However, given large numbers of non-depressed patients, a small percentage of false positives equates to a greater number of patients than the number of depressed patients that GPs fail to detect. Concern thus arises that substantial numbers of patients with falsely identified depression may receive inappropriate interventions. METHODS: Unselected GP consulters were screened with the Hospital Anxiety and Depression Scale (HADS). GPs' perceptions of depression were independently rated on an ICD-10 scale. Case records were reviewed. Analysis related to participants with HADS-D<8. Data were assessed of 660 participants with sub-threshold symptoms. Factors were assessed according to GP ratings. RESULTS: GP perceived depression in false positive cases were more likely at index visit, to have a mental health presenting problem (OR=6.74 (95% CI=3.21, 14.16); receive antidepressant prescriptions (OR 3.79 (95% CI=1.69, 8.49) and have greater severity of HADS-D score (OR 1.18 (95% CI=1.01, 1.38). Subthreshold cases that GPs identified as depressed, more often had a recording, over subsequent six months, of: depressive symptoms (16 (35%) versus 26 (7%), p<0.001); antidepressant prescriptions (11 (24%) versus 25 (7%), p=0.001); and Community Mental Health Team referrals (4 (9%) versus 1 (<1%), p=0.001). They also consulted GPs more frequently than those not identified (median=5 (IQR 2.8, 6.3) versus median=3 (IQR=2, 5), p=0.004 over six months. LIMITATIONS: The HADS is not a diagnostic tool. CONCLUSIONS: GPs' diagnoses of depressive disorder in patients with sub-threshold symptoms were appropriate. Interventions offered to this group were consistent with documented previous histories.

Dates of birth and seasonal changes in well-being among 4904 subjects completing the seasonal pattern assessment questionnaire.

BACKGROUND: Abnormal distributions of birthdates, suggesting intrauterine aetiological factors, have been found in several psychiatric disorders, including one study of out-patients with Seasonal Affective Disorder (S.A.D.). We investigated birthdate distribution in relation to seasonal changes in well-being among a cohort who had completed the Seasonal Pattern Assessment Questionnaire (SPAQ). METHOD: A sample of 4904 subjects, aged 16 to 64, completed the SPAQ. 476 were cases of S.A.D. on the SPAQ and 580 were cases of sub-syndromal S.A.D. (S-S.A.D.). 92 were interview confirmed cases of S.A.D. Months and dates of birth were compared between S.A.D. cases and all others, between S.A.D. and S-S.A.D. cases combined and all others, and between interview confirmed cases and all others. Seasonality, as measured through seasonal fluctuations in well-being on the Global Seasonality Scores (GSS) of the SPAQ, was compared for all subjects by month and season of birth. RESULTS: There was no evidence of an atypical pattern of birthdates for subjects fulfilling criteria for S.A.D., for the combined S.A.D./S-S.A.D. group or for interview confirmed cases. There was also no relationship between seasonality on the GSS and month or season of birth. LIMITATIONS: Diagnoses of S.A.D. made by SPAQ criteria are likely to be overinclusive. CONCLUSION: Our findings differ from studies of patients with more severe mood disorders, including psychiatric out-patients with S.A.D. The lack of association between seasonality and birthdates in our study adds credence to the view that the aetiology of S.A.D. relates to separable factors predisposing to affective disorders and to seasonality.

Seasonal affective disorder and social deprivation in Aberdeen.

BACKGROUND: Unlike non-seasonal depression, there is some evidence that seasonal affective disorder (SAD) is more common among more affluent socioeconomic groups. METHODS: In primary care settings in Aberdeen, 4557 subjects had previously completed a Seasonal Pattern Assessment Questionnaire (SPAQ). From the subjects' postcodes they were allocated a Carstairs score which placed them in one of seven categories of socioeconomic deprivation. These categories were compared with regard to seasonal pathology from the SPAQ ratings. RESULTS: Complete postcodes and Carstairs scores were established for 3772 (83%) of the 4557 subjects. No statistically significant relationship between socioeconomic deprivation and SPAQ ratings was detected. LIMITATIONS: The study population was an affluent one relative to Scotland as a whole which may have reduced the likelihood of a positive finding. The study was conducted 7 years after the census on which postcode deprivation scores were calculated, and changes therein may have occurred. CONCLUSIONS: SAD either has no relationship to social deprivation or is associated with affluence and this distinguishes it from non-seasonal depression.