Objective: To describe the performance of alcohol screening questionnaires in female patients.
Data Sources: We searched MEDLINE from 1966 to July 1997 for alcoholism or alcohol-drinking and for CAGE, AUDIT, BMAST, TWEAK, T-ACE, MAST, SMAST, or SAAST; Citations Indexes for newer screening questionnaires and those without acronyms; and MEDLINE from 1996 to July 1997 for alcoholism or alcohol-drinking and screening.
Study Selection And Data Extraction: Reviewed studies presented data for women comparing brief alcohol screening questionnaires with valid criterion standards for heavy drinking (> or =2 drinks per day) or alcohol abuse or dependence in US general clinical populations. Sensitivities, specificities, and areas under receiver operating characteristic curves (AUROCs) were extracted.
Data Synthesis: Thirteen articles (9 studies) were reviewed. The CAGE questionnaire had AUROCs of 0.84 to 0.92 for alcohol abuse and dependence in predominantly black populations of women, but using the traditional cut point of 2 or more resulted in low sensitivities (38%-50%) in predominantly white female populations. The TWEAK and Alcohol Use Disorders Identification Test (AUDIT) questionnaires had high AUROCs (0.87-0.93) for past-year alcohol abuse or dependence in black or white women, but had sensitivities less than 80% at traditional cut points. For detecting heavy drinking, the AUDIT questionnaire had AUROCs of at least 0.87 in female primary care patients. The TWEAK and T-ACE questionnaires had higher AUROCs (0.84-0.87) than the CAGE questionnaire (0.76-0.78) for detecting heavy drinking before pregnancy was recognized in black obstetric patients.
Conclusions: The CAGE questionnaire was relatively insensitive in predominantly white female populations. The TWEAK and AUDIT questionnaires have performed adequately in black or white women, using lower cut points than usual.
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http://dx.doi.org/10.1001/jama.280.2.166 | DOI Listing |
Background: Assisted partner services (APSs; sometimes called index testing) are now being brought to scale as a high-yield HIV testing strategy in many nations. However, the success of APSs is often hampered by low levels of partner elicitation. The Computer-Assisted Self-Interview (CASI)-Plus study sought to develop and test a mobile health (mHealth) tool to increase the elicitation of sexual and needle-sharing partners among persons with newly diagnosed HIV.
View Article and Find Full Text PDFIntroduction: Knowing the magnitude and preventable risk factors of diabetes has a significant contribution in targeted prevention intervention which ultimately ensures the existence of healthier and productive individuals in a country. Diabetes has untoward impact on health, social and economic consequences. Exploring preventable risk factors are extremely important because of their potential association and interaction with diabetes.
View Article and Find Full Text PDFBreast and cervical cancers are the most prevalent diagnosed in women worldwide, significantly contributing to maternal morbidity and mortality. We examined socio-demographic and behavioral factors associated with breast and cervical cancer screening among Cambodian women aged 15-49 years old. We analyzed women's data from the 2022 Cambodia Demographic and Health Survey (CDHS).
View Article and Find Full Text PDFPLoS One
January 2025
Cardiology Department, Vétérinaire Clinic Boulogne Roland Garros, Boulogne Billancourt, France.
Introduction: Aortic stenosis (AS) and pulmonic stenosis (PS) are two of the most common canine congenital heart diseases (CHD), with a high relative risk for Newfoundland dogs to develop inherited subvalvular AS. For this reason, a cardiovascular screening program has been set up by the French Newfoundland kennel club in order to manage mattings and reduce AS prevalence.
Materials And Methods: The records of untreated and non-anesthetized adult Newfoundland dogs screened between 2010 and 2023 were retrospectively reviewed.
PLoS One
January 2025
School of Industrial and Management Engineering, Korea University, Seongbuk-gu, Seoul, Republic of Korea.
A medical specialty prediction system for remote diagnosis can reduce the unexpected costs incurred by first-visit patients who visit the wrong hospital department for their symptoms. To develop medical specialty prediction systems, several researchers have explored clinical predictive models using real medical text data. Medical text data include large amounts of information regarding patients, which increases the sequence length.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!