Evaluation of bias and logistics in a survey of adults at increased risk for oral health decrements.
Identifieur interne : 009916 ( Ncbi/Merge ); précédent : 009915; suivant : 009917Evaluation of bias and logistics in a survey of adults at increased risk for oral health decrements.
Auteurs : G H Gilbert [États-Unis] ; R P Duncan ; A M Kulley ; R T Coward ; M W HeftSource :
- Journal of public health dentistry [ 0022-4006 ] ; 1997.
Descripteurs français
- KwdFr :
- Adulte, Adulte d'âge moyen, Analyse multivariée, Biais de sélection, Enquêtes de santé dentaire, Entretiens comme sujet, Examen physique, Facteurs de l'âge, Facteurs de risque, Facteurs sexuels, Femelle, Floride (épidémiologie), Humains, Maladies de la bouche (épidémiologie), Modèles logistiques, Mâchoire édentée (épidémiologie), Mâle, Pauvreté (), Plan de recherche, Population d'origine africaine, Prévalence, Santé en zone rurale (), Soins dentaires (), Sujet âgé, Taille d'échantillon, Téléphone, État de santé, Études d'évaluation comme sujet, Études par échantillonnage.
- MESH :
- épidémiologie : Floride, Maladies de la bouche, Mâchoire édentée.
- Adulte, Adulte d'âge moyen, Analyse multivariée, Biais de sélection, Enquêtes de santé dentaire, Entretiens comme sujet, Examen physique, Facteurs de l'âge, Facteurs de risque, Facteurs sexuels, Femelle, Humains, Modèles logistiques, Mâle, Pauvreté, Plan de recherche, Population d'origine africaine, Prévalence, Santé en zone rurale, Soins dentaires, Sujet âgé, Taille d'échantillon, Téléphone, État de santé, Études d'évaluation comme sujet, Études par échantillonnage.
English descriptors
- KwdEn :
- Adult, African Continental Ancestry Group, Age Factors, Aged, Bias, Dental Care (statistics & numerical data), Dental Health Surveys, Evaluation Studies as Topic, Female, Florida (epidemiology), Health Status, Humans, Interviews as Topic, Jaw, Edentulous (epidemiology), Logistic Models, Male, Middle Aged, Mouth Diseases (epidemiology), Multivariate Analysis, Physical Examination, Poverty (statistics & numerical data), Prevalence, Research Design, Risk Factors, Rural Health (statistics & numerical data), Sample Size, Sampling Studies, Selection Bias, Sex Factors, Telephone.
- MESH :
- epidemiology : Florida, Jaw, Edentulous, Mouth Diseases.
- statistics & numerical data : Dental Care, Poverty, Rural Health.
- Adult, African Continental Ancestry Group, Age Factors, Aged, Bias, Dental Health Surveys, Evaluation Studies as Topic, Female, Health Status, Humans, Interviews as Topic, Logistic Models, Male, Middle Aged, Multivariate Analysis, Physical Examination, Prevalence, Research Design, Risk Factors, Sample Size, Sampling Studies, Selection Bias, Sex Factors, Telephone.
Abstract
Designing research to include sufficient respondents in groups at highest risk for oral health decrements can present unique challenges. Our purpose was to evaluate bias and logistics in this survey of adults at increased risk for oral health decrements.
PubMed: 9150063
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pubmed:9150063Le document en format XML
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<term>Rural Health (statistics & numerical data)</term>
<term>Sample Size</term>
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<term>African Continental Ancestry Group</term>
<term>Age Factors</term>
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<term>Evaluation Studies as Topic</term>
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<term>Adulte d'âge moyen</term>
<term>Analyse multivariée</term>
<term>Biais de sélection</term>
<term>Enquêtes de santé dentaire</term>
<term>Entretiens comme sujet</term>
<term>Examen physique</term>
<term>Facteurs de l'âge</term>
<term>Facteurs de risque</term>
<term>Facteurs sexuels</term>
<term>Femelle</term>
<term>Humains</term>
<term>Modèles logistiques</term>
<term>Mâle</term>
<term>Pauvreté</term>
<term>Plan de recherche</term>
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<term>Prévalence</term>
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<term>Sujet âgé</term>
<term>Taille d'échantillon</term>
<term>Téléphone</term>
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<front><div type="abstract" xml:lang="en">Designing research to include sufficient respondents in groups at highest risk for oral health decrements can present unique challenges. Our purpose was to evaluate bias and logistics in this survey of adults at increased risk for oral health decrements.</div>
</front>
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<DateCompleted><Year>1997</Year>
<Month>07</Month>
<Day>17</Day>
</DateCompleted>
<DateRevised><Year>2017</Year>
<Month>11</Month>
<Day>16</Day>
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<Season>Winter</Season>
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<Title>Journal of public health dentistry</Title>
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<ArticleTitle>Evaluation of bias and logistics in a survey of adults at increased risk for oral health decrements.</ArticleTitle>
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<Abstract><AbstractText Label="OBJECTIVES" NlmCategory="OBJECTIVE">Designing research to include sufficient respondents in groups at highest risk for oral health decrements can present unique challenges. Our purpose was to evaluate bias and logistics in this survey of adults at increased risk for oral health decrements.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">We used a telephone survey methodology that employed both listed numbers and random digit dialing to identify dentate persons 45 years old or older and to oversample blacks, poor persons, and residents of nonmetropolitan counties. At a second stage, a subsample of the respondents to the initial telephone screening was selected for further study, which consisted of a baseline in-person interview and a clinical examination. We assessed bias due to: (1) limiting the sample to households with telephones, (2) using predominantly listed numbers instead of random digit dialing, and (3) nonresponse at two stages of data collection.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">While this approach apparently created some biases in the sample, they were small in magnitude. Specifically, limiting the sample to households with telephones biased the sample overall toward more females, larger households, and fewer functionally impaired persons. Using predominantly listed numbers led to a modest bias toward selection of persons more likely to be younger, healthier, female, have had a recent dental visit, and reside in smaller households. Blacks who were selected randomly at a second stage were more likely to participate in baseline data gathering than their white counterparts. Comparisons of the data obtained in this survey with those from recent national surveys suggest that this methodology for sampling high-risk groups did not substantively bias the sample with respect to two important dental parameters, prevalence of edentulousness and dental care use, nor were conclusions about multivariate associations with dental care recency substantively affected.</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">This method of sampling persons at high risk for oral health decrements resulted in only modest bias with respect to the population of interest.</AbstractText>
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