Angelo Picardi, D A Adler, W H Rogers, I Lega, M P Zerella, G Matteucci, L Tarsitani, M Caredda, A Gigantesco, M Biondi
{"title":"初级保健筛查对初级保健中情感性障碍(PC-SAD)的诊断准确性。","authors":"Angelo Picardi, D A Adler, W H Rogers, I Lega, M P Zerella, G Matteucci, L Tarsitani, M Caredda, A Gigantesco, M Biondi","doi":"10.2174/1745017901309010164","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Depression goes often unrecognised and untreated in non-psychiatric medical settings. Screening has recently gained acceptance as a first step towards improving depression recognition and management. The Primary Care Screener for Affective Disorders (PC-SAD) is a self-administered questionnaire to screen for Major Depressive Disorder (MDD) and Dysthymic Disorder (Dys) which has a sophisticated scoring algorithm that confers several advantages. This study tested its performance against a 'gold standard' diagnostic interview in primary care.</p><p><strong>Methods: </strong>A total of 416 adults attending 13 urban general internal medicine primary care practices completed the PC-SAD. Of 409 who returned a valid PC-SAD, all those scoring positive (N=151) and a random sample (N=106) of those scoring negative were selected for a 3-month telephone follow-up assessment including the administration of the Structured Clinical Interview for DSM-IV-TR Axis I Disorders (SCID-I) by a psychiatrist who was masked to PC-SAD results.</p><p><strong>Results: </strong>Most selected patients (N=212) took part in the follow-up assessment. After adjustment for partial verification bias the sensitivity, specificity, positive and negative predictive value for MDD were 90%, 83%, 51%, and 98%. For Dys, the corresponding figures were 78%, 79%, 8%, and 88%.</p><p><strong>Conclusions: </strong>While some study limitations suggest caution in interpreting our results, this study corroborated the diagnostic validity of the PC-SAD, although the low PPV may limit its usefulness with regard to Dys. Given its good psychometric properties and the short average administration time, the PC-SAD might be the screening instrument of choice in settings where the technology for computer automated scoring is available.</p>","PeriodicalId":35447,"journal":{"name":"Clinical Practice and Epidemiology in Mental Health","volume":" ","pages":"164-70"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/be/ed/CPEMH-9-164.PMC3804886.pdf","citationCount":"4","resultStr":"{\"title\":\"Diagnostic Accuracy of the Primary Care Screener for Affective Disorder (PC-SAD) in Primary Care.\",\"authors\":\"Angelo Picardi, D A Adler, W H Rogers, I Lega, M P Zerella, G Matteucci, L Tarsitani, M Caredda, A Gigantesco, M Biondi\",\"doi\":\"10.2174/1745017901309010164\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Depression goes often unrecognised and untreated in non-psychiatric medical settings. Screening has recently gained acceptance as a first step towards improving depression recognition and management. The Primary Care Screener for Affective Disorders (PC-SAD) is a self-administered questionnaire to screen for Major Depressive Disorder (MDD) and Dysthymic Disorder (Dys) which has a sophisticated scoring algorithm that confers several advantages. This study tested its performance against a 'gold standard' diagnostic interview in primary care.</p><p><strong>Methods: </strong>A total of 416 adults attending 13 urban general internal medicine primary care practices completed the PC-SAD. Of 409 who returned a valid PC-SAD, all those scoring positive (N=151) and a random sample (N=106) of those scoring negative were selected for a 3-month telephone follow-up assessment including the administration of the Structured Clinical Interview for DSM-IV-TR Axis I Disorders (SCID-I) by a psychiatrist who was masked to PC-SAD results.</p><p><strong>Results: </strong>Most selected patients (N=212) took part in the follow-up assessment. After adjustment for partial verification bias the sensitivity, specificity, positive and negative predictive value for MDD were 90%, 83%, 51%, and 98%. For Dys, the corresponding figures were 78%, 79%, 8%, and 88%.</p><p><strong>Conclusions: </strong>While some study limitations suggest caution in interpreting our results, this study corroborated the diagnostic validity of the PC-SAD, although the low PPV may limit its usefulness with regard to Dys. Given its good psychometric properties and the short average administration time, the PC-SAD might be the screening instrument of choice in settings where the technology for computer automated scoring is available.</p>\",\"PeriodicalId\":35447,\"journal\":{\"name\":\"Clinical Practice and Epidemiology in Mental Health\",\"volume\":\" \",\"pages\":\"164-70\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/be/ed/CPEMH-9-164.PMC3804886.pdf\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Practice and Epidemiology in Mental Health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/1745017901309010164\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2013/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Practice and Epidemiology in Mental Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/1745017901309010164","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2013/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
Diagnostic Accuracy of the Primary Care Screener for Affective Disorder (PC-SAD) in Primary Care.
Background: Depression goes often unrecognised and untreated in non-psychiatric medical settings. Screening has recently gained acceptance as a first step towards improving depression recognition and management. The Primary Care Screener for Affective Disorders (PC-SAD) is a self-administered questionnaire to screen for Major Depressive Disorder (MDD) and Dysthymic Disorder (Dys) which has a sophisticated scoring algorithm that confers several advantages. This study tested its performance against a 'gold standard' diagnostic interview in primary care.
Methods: A total of 416 adults attending 13 urban general internal medicine primary care practices completed the PC-SAD. Of 409 who returned a valid PC-SAD, all those scoring positive (N=151) and a random sample (N=106) of those scoring negative were selected for a 3-month telephone follow-up assessment including the administration of the Structured Clinical Interview for DSM-IV-TR Axis I Disorders (SCID-I) by a psychiatrist who was masked to PC-SAD results.
Results: Most selected patients (N=212) took part in the follow-up assessment. After adjustment for partial verification bias the sensitivity, specificity, positive and negative predictive value for MDD were 90%, 83%, 51%, and 98%. For Dys, the corresponding figures were 78%, 79%, 8%, and 88%.
Conclusions: While some study limitations suggest caution in interpreting our results, this study corroborated the diagnostic validity of the PC-SAD, although the low PPV may limit its usefulness with regard to Dys. Given its good psychometric properties and the short average administration time, the PC-SAD might be the screening instrument of choice in settings where the technology for computer automated scoring is available.
期刊介绍:
Clinical Practice & Epidemiology in Mental Health is an open access online journal, which publishes Research articles, Reviews, Letters in all areas of clinical practice and epidemiology in mental health covering the following topics: Clinical and epidemiological research in psychiatry and mental health; diagnosis, prognosis and treatment of mental health conditions; and frequencies and determinants of mental health conditions in the community and the populations at risk; research and economic aspects of psychiatry, with special attention given to manuscripts presenting new results and methods in the area; and clinical epidemiologic investigation of pharmaceutical agents. Clinical Practice & Epidemiology in Mental Health, a peer reviewed journal, aims to provide the most complete and reliable source of information on current developments in the field. The emphasis will be on publishing quality articles rapidly and freely available worldwide.