Estimating the incidence of psychosis in diverse settings
Estimating the incidence of psychosis in diverse settings
复制标题
估计不同环境下精神病的发病率
DOI:
10.1017/s0033291719003702
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发表时间:
2019
影响因子:
6.9
通讯作者:
Cohen A
中科院分区:
文献类型:
--
作者:
Cohen A
In a recent paper, Anderson et al.(2019) demonstrated how,‘Case ascertainment strategies limited to specialized psychiatric services (in Ontario, Canada) may substantially underestimate the incidence of non-affective psychotic disorders, relative to population-based estimates.’This prompted correspondence in which Hogerzeil and van Hemert (2019) and Edwards, Rodrigues, and Anderson (2019) exchanged ideas about how the design of epidemiological research may influence incidence estimates. Furthermore, Edwards et al.(2019) proposed four types of incidence that reflect how estimates were derived: true incidence (‘the theoretical incidence in the entire population’); contact incidence (those who have had contact with a health system); diagnosed incidence (those who have received a diagnosis of psychosis from a clinician); and treated incidence (those who have received treatment for a psychotic disorder). Our primary concern is that the great majority of efforts to determine the incidence of psychosis have taken place in Western European countries (Jongsma et al., 2018; Jongsma, Turner, Kirkbride, & Jones, 2019) that have well-developed health systems and offer, to a broad crosssection of their populations, somewhat accessible psychiatric and social services. Given these contexts, it is somewhat safe to assume that individuals will, albeit after varying periods of time, seek medical care after beginning to experience symptoms of psychosis. However, this assumption is not valid in poorly resourced health systems and we would like to highlight the design strategies we have taken in INTernational REsearch Programme on Psychoses In Diverse Settings (INTREPID–https://www. intrepidresearch. org/) in an effort to reduce the gap between true and identified incidence. Moreover, this work suggests a more simplified, but universal, distinction between true and identified incidence, with researchers making explicit the precise detection strategies used to identify cases and the potential limitations of these. Our research is being conducted in catchment areas south of Chennai, India, local government areas of Ibadan, Nigeria, and municipalities of Trinidad and Tobago. Our aim to identify truly representative samples of persons with psychosis, required us, during the pilot phase of the program, to develop comprehensive systems of case-finding in each of these sites that were diverse with regard to the nature of their health systems and sociocultural contexts. We approached this task in two ways. First, we conducted focus groups in each site to collect information about local concepts of psychotic illness (Cohen et al., 2016). An understanding of such concepts has been demonstrated to facilitate communication with informants about community members who might be experiencing a psychotic illness (Shibre, Teferra, Morgan, & Alem, 2010). Second, we used Kleinman’s (1980) model of health systems–which posits ‘three distinct but overlapping sectors in which illness is understood and managed… the professional (ie medical establishment), folk (ie spiritual and traditional healers), and popular (ie informal efforts to manage illness, eg self-medication, advice from friends and family, etc.)’–to create comprehensive lists of health providers and informants in each catchment area (Morgan et al., 2015). With this information we created more comprehensive structures for case-finding networks that extended beyond health professionals, public and private clinics and hospitals, to non-governmental organizations, traditional and spiritual healers, and key informants. For the site in India, we also hired several women who traveled the catchment area in search of …
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影响因子:
6.9
作者:
S. J. Hogerzeil;A. V. van Hemert
通讯作者:
A. V. van Hemert
影响因子:
6.9
作者:
Morgan, C.;John, S.;Cohen, A.
通讯作者:
Cohen, A.
影响因子:
73.3
作者:
T. Shibre;Solomon Teferra;C. Morgan;A. Alem
通讯作者:
A. Alem
影响因子:
4.4
作者:
Cohen A;Padmavati R;Hibben M;Oyewusi S;John S;Esan O;Patel V;Weiss H;Murray R;Hutchinson G;Gureje O;Thara R;Morgan C
通讯作者:
Morgan C