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Background: Seasonal migrant workers are at increased risk of malaria and can play a substantial role in transmitting the disease to receptive areas. Assessments conducted among these workers showed a high prevalence of malaria. This qualitative study aimed to explore the contributing factors and challenges to the high malaria prevalence among seasonal migrant workers in agricultural farm areas. The study also sought to identify potential solutions. Methods: A descriptive phenomenological approach was employed to investigate the perceived causes, challenges, and solutions related to malaria prevalence among seasonal migrant workers in the development corridors of southwest Ethiopia. This approach emphasizes describing experiences as they are, without researcher interpretation. Data were gathered from 24 individuals purposefully selected for their close involvement with seasonal migrant workers and their experience with malaria issues in agricultural farm areas. Open-ended questions were used, and interviews were conducted in safe, quiet settings. Data management was performed using Open Code software version 4.03, and thematic analysis was applied to the contents. Results: The study findings identified origin from highland areas, low health-seeking behaviour, working at night, and lack of use of long-lasting insecticidal nets (LLINs) as the perceived causes of high malaria prevalence among seasonal migrant workers by the study participants. Limited collaboration among stakeholders, a lack of migrant-friendly malaria prevention strategies, and inconsistent support for medical supplies were challenges highlighted by the key informants. Therefore, seasonal migrant workers were faced with high risk of malaria due to factors such as lack of immunity, delayed treatment, exposure to mosquitoes, and limited prevention efforts. Addressing these challenges is crucial for reducing malaria prevalence among this vulnerable population. Conclusion: The study findings highlighted the need for targeted interventions to address the specific factors contributing to high malaria prevalence among seasonal migrant workers and to overcome the challenges in implementing effective malaria prevention strategies in this vulnerable population. Further study should be conducted to include the views and positions of seasonal migrant workers, owners of the farm areas, host communities, and political leaders. [ABSTRACT FROM AUTHOR]

Clinical genetic studies confirm the broader autism phenotype (BAP) in some relatives of individuals with autism, but there are few standardized assessment measures. We developed three BAP measures (informant interview, self-report interview, and impression of interviewee observational scale) and describe the development strategy and findings from the interviews. International Molecular Genetic Study of Autism Consortium data were collected from families containing at least two individuals with autism. Comparison of the informant and self-report interviews was restricted to samples in which the interviews were undertaken by different researchers from that site (251 UK informants, 119 from the Netherlands). Researchers produced vignettes that were rated blind by others. Retest reliability was assessed in 45 participants. Agreement between live scoring and vignette ratings was very high. Retest stability for the interviews was high. Factor analysis indicated a first factor comprising social-communication items and rigidity (but not other repetitive domain items), and a second factor comprised mainly of reading and spelling impairments. Whole scale Cronbach's alphas were high for both interviews. The correlation between interviews for factor 1 was moderate (adult items 0.50; childhood items 0.43); Kappa values for between-interview agreement on individual items were mainly low. The correlations between individual items and total score were moderate. The inclusion of several factor 2 items lowered the overall Cronbach's alpha for the total set. Both interview measures showed good reliability and substantial stability over time, but the findings were better for factor 1 than factor 2. We recommend factor 1 scores be used for characterising the BAP. Autism Res 2015, 8: 522-533. © 2015 International Society for Autism Research, Wiley Periodicals, Inc. [ABSTRACT FROM AUTHOR]

Dementia because of Alzheimer's disease (AD) commonly affects older adults with Down's syndrome (DS). Methods are needed, with established concurrent and predictive validity, to facilitate the diagnostic assessment of dementia, when it is complicated by pre-existing intellectual disabilities (ID). We report on the reliability and validity of a modified version of the Cambridge Examination for Mental Disorders of the Elderly (CAMDEX) informant interview, for use when assessing people with DS suspected as having dementia. As part of a previous epidemiological study of older people with DS, the CAMDEX informant interview was used to determine the prevalence of dementia. The 74 people with DS included at that time (Time 1) had also completed the Cambridge Cognitive Examination (CAMCOG), the neuropsychological assessment from the CAMDEX schedule. Fifty-six were assessed again 6 years later (Time 2). Based on the CAMDEX informant interview, nine of the 74 at Time 1, and 11 of the 56 at Time 2, were found to meet clinical criteria for AD. Forty-one scored above floor on the CAMCOG at Time 1 and were included in the analysis of cognitive decline. Concurrent validity was established by comparing diagnosis at Time 2 with independent evidence of objective decline on cognitive tasks since Time 1. Predictive validity was established by examining how accurately diagnosis at Time 1 predicted both cognitive decline and future diagnosis. Inter-rater reliability was determined by comparing the level of agreement between two raters. CAMDEX-based diagnosis of AD was shown to be consistent with objectively observed cognitive decline (good concurrent validity) and to be a good predictor of future diagnosis. Although numbers are small, some support is also provided for the accuracy with which diagnosis predicts cognitive decline. Inter-rater reliability was good with Kappa > 0.8 for 91% of items and > 0.6 for all items. The use of the modified CAMDEX informant interview enables the structured collection of diagnostic information, so that a valid and a reliable diagnosis of dementia can be made in those with pre-existing ID, using established diagnostic criteria. [ABSTRACT FROM AUTHOR]

Objective To provide a computerised method of diagnosing organic brain syndrome from history data without the use of mental state data. Methods Interview dataset from participants in a community study of the incidence of dementia was used to form a training sample and validation sample. The algorithm was developed on the training sample and tested on the validation sample. Results Performance in the training and validation samples was very similar. The algorithm shows monotonically increasing probability of being diagnosed with dementia as a function of the proposed level of diagnostic confidence. At the proposed cut point it has sensitivity 94% and specificity 84% for detecting concurrent psychiatrist's diagnosis of dementia. Conclusions The method provides a good agreement with psychiatrist's diagnosis, and the results in the validation sample show little shrinkage. The method will prove useful in studies where it has proved impossible to collect mental state information on all the study particpants. Copyright © 2001 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

The Community Screening Interview for Dementia (CSI ‘D’) was developed as a screening instrument for dementia for use in cross-cultural studies. It consists of two components, a cognitive test for non-literate and literate populations and an informant interview regarding performance in everyday living. The development of the CSI ‘D’, involving harmonization, translation, back translation and pilot testing, for use in five sites is described. The results demonstrate the adaptability and utility of the CSI ‘D’ in populations from very different socioeconomic backgrounds. The inclusion of informant data adds significantly to the performance of the CSI ‘D’ as a dementia screen. The combination of informant and cognitive scores in a discriminant score produces better sensitivity and specificity for dementia than cognitive scores alone. The informant score has a significant independent effect in predicting dementia. Copyright © 2000 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Background . There has been no instrument developed for the differential diagnosis of psychiatric conditions using an informant. The present study describes the development and validation of an informant interview for the diagnosis of dementia and depression in older adults (IDD-GMS). The IDD-GMS, as its name indicates, is based upon the well-established Geriatric Mental State Schedule (GMS). Method . Thirty older adults with psychiatric illnesses were identified. An informant/carer was interviewed using the IDD-GMS. Questions from the GMS were altered to reflect the informant nature of the interview. Validity was compared to ICD-10 diagnoses. Interrater reliability was determined. Results . Using a hierarchical diagnostic system, receiver operating characteristics demonstrated one optimal cutpoint for sensitivity, >13 for dementia and >16 for depression, and one for specificity, >13 for dementia and >10 for depression. Conclusion . The validity and reliability of the IDD-GMS falls within acceptable limits and indicates that the IDD-GMS can be used as a diagnostic instrument for dementia and depression. The IDD-GMS represents the first informant interview to achieve this. © 1998 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]