Influence of Patient, Visit, and Oral Health Factors on Dental Service Provision
Identifieur interne : 003263 ( Istex/Corpus ); précédent : 003262; suivant : 003264Influence of Patient, Visit, and Oral Health Factors on Dental Service Provision
Auteurs : David S. Brennan ; A. John SpencerSource :
- Journal of Public Health Dentistry [ 0022-4006 ] ; 2002-09.
English descriptors
- KwdEn :
- Absent number, Attendance patterns, Aust dent, Australian bureau, Australian institute, Better service pattern, Bivariate associations, Bridge services, Capital city location, Clinical decision, Community dent, Consistent increase, Decay knowledge scale, Decayed knowledge scale, Decayed teeth, Dent, Dent assoc, Dent educ, Dental, Dental care, Dental knowledge, Dental practice, Dental service patterns, Dental service provision, Dental service rates, Dental services, Dentate, Dentate adults, Dentist, Dentist service rates, Dentistry, Denture, Emergency visits, Endodontic, Endodontic services, Extraction, Female dentists, General practice, Geographic location, Health card, Health status, Higher extraction rate, Higher payment scale ratings, Higher percentage, Higher percentages, Higher provision, Higher rates, Higherdental knowledge rating, Independent variables, Infrequent attenders, Insurance coverage, Insurance status, Interaction terms, Knowledge rating, Lower extraction rates, Lower provision, Lower rates, Lowest income group, Main areas, Male dentists, Male patients, Moderate effects, Multivariate, Multivariate models, Multivariate poisson regression models, Natural dentition, Nonemergency, Nonemergency visits, Older adults, Oral health, Oral health factors, Oral health status, Oral health variables, Other factors, Payment scale, Payment scale ratings, Periodontal disease, Poisson, Poisson regression, Postal code, Postal code area, Potential bias, Practitioner, Preventive orientation, Preventive services, Previous location capital city noncapital denture status, Private practice, Private sector, Prosthodontic, Prosthodontic services, Public health, Public health dent, Public health dentistry, Public sector, Random sample, Rate ratio, Rating, Ratingt seifa index, Reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference, Research unit, Resident population, Restorative demand, Restorative services, Restorative treatment thresholds, Sampling period, Seifa index, Service areas, Service data, Service patterns, Service provision, Service provision models, Service provision patterns, Service rates, Significant differences, Socioeconomic status, Strong effects, Thigher rating, Tooth loss, Treatment decisions, Treatment selection, Uninsured patient status, Visit characteristics, Visit factors, Visit type, Visit type emergency nonemergency insurance status, Weak effects, Wide range, Years patient, Years years years.
- Teeft :
- Absent number, Attendance patterns, Aust dent, Australian bureau, Australian institute, Better service pattern, Bivariate associations, Bridge services, Capital city location, Clinical decision, Community dent, Consistent increase, Decay knowledge scale, Decayed knowledge scale, Decayed teeth, Dent, Dent assoc, Dent educ, Dental, Dental care, Dental knowledge, Dental practice, Dental service patterns, Dental service provision, Dental service rates, Dental services, Dentate, Dentate adults, Dentist, Dentist service rates, Dentistry, Denture, Emergency visits, Endodontic, Endodontic services, Extraction, Female dentists, General practice, Geographic location, Health card, Health status, Higher extraction rate, Higher payment scale ratings, Higher percentage, Higher percentages, Higher provision, Higher rates, Higherdental knowledge rating, Independent variables, Infrequent attenders, Insurance coverage, Insurance status, Interaction terms, Knowledge rating, Lower extraction rates, Lower provision, Lower rates, Lowest income group, Main areas, Male dentists, Male patients, Moderate effects, Multivariate, Multivariate models, Multivariate poisson regression models, Natural dentition, Nonemergency, Nonemergency visits, Older adults, Oral health, Oral health factors, Oral health status, Oral health variables, Other factors, Payment scale, Payment scale ratings, Periodontal disease, Poisson, Poisson regression, Postal code, Postal code area, Potential bias, Practitioner, Preventive orientation, Preventive services, Previous location capital city noncapital denture status, Private practice, Private sector, Prosthodontic, Prosthodontic services, Public health, Public health dent, Public health dentistry, Public sector, Random sample, Rate ratio, Rating, Ratingt seifa index, Reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference, Research unit, Resident population, Restorative demand, Restorative services, Restorative treatment thresholds, Sampling period, Seifa index, Service areas, Service data, Service patterns, Service provision, Service provision models, Service provision patterns, Service rates, Significant differences, Socioeconomic status, Strong effects, Thigher rating, Tooth loss, Treatment decisions, Treatment selection, Uninsured patient status, Visit characteristics, Visit factors, Visit type, Visit type emergency nonemergency insurance status, Weak effects, Wide range, Years patient, Years years years.
Abstract
Objectives: Service provision should reflect the oral health of the patient. However, patient and visit factors may influence service patterns and the appropriateness of care delivered. The aim of this study was to examine factors associated with variation in dental services and to assess whether variation by patient and visit characteristics persisted after controlling for oral health status. Methods: A random sample of Australian dentists was surveyed during 1997–98 (response rate=60.3%). Private general practitioners (n=345) provided data on service provision, as well as patient, visit and oral health variables from a log of a typical clinical day (n=4,115 patients). Multivariate Poisson regression models were run for eight service areas (e.g., diagnostic, preventive, and restorative). Results: Significant effects (P<.05) were observed for oral health factors in all eight models, visit factors in all eight models, patient demographics in four models, dental knowledge/behavior in one model, and area‐based socioeconomic status in one model. Conclusions: After controlling for oral health, visit characteristics persisted as significant predictors of services, with nonemergency visits, insurance, and capital city location associated with more favorable service mix patterns. Higher socioeconomic status areas and payment scale ratings also were associated with a better service pattern in particular service areas. These findings show that a wide range of factors, in addition to oral health, contribute to variation in service provision.
Url:
DOI: 10.1111/j.1752-7325.2002.tb03436.x
Links to Exploration step
ISTEX:66B4B528B0DB770FD94291A2CB2C1319D1202104Le document en format XML
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dentists</term><term>General practice</term><term>Geographic location</term><term>Health card</term><term>Health status</term><term>Higher extraction rate</term><term>Higher payment scale ratings</term><term>Higher percentage</term><term>Higher percentages</term><term>Higher provision</term><term>Higher rates</term><term>Higherdental knowledge rating</term><term>Independent variables</term><term>Infrequent attenders</term><term>Insurance coverage</term><term>Insurance status</term><term>Interaction terms</term><term>Knowledge rating</term><term>Lower extraction rates</term><term>Lower provision</term><term>Lower rates</term><term>Lowest income group</term><term>Main areas</term><term>Male dentists</term><term>Male patients</term><term>Moderate effects</term><term>Multivariate</term><term>Multivariate models</term><term>Multivariate poisson regression models</term><term>Natural dentition</term><term>Nonemergency</term><term>Nonemergency visits</term><term>Older adults</term><term>Oral health</term><term>Oral health factors</term><term>Oral health status</term><term>Oral health variables</term><term>Other factors</term><term>Payment scale</term><term>Payment scale ratings</term><term>Periodontal disease</term><term>Poisson</term><term>Poisson regression</term><term>Postal code</term><term>Postal code area</term><term>Potential bias</term><term>Practitioner</term><term>Preventive orientation</term><term>Preventive services</term><term>Previous location capital city noncapital denture status</term><term>Private practice</term><term>Private sector</term><term>Prosthodontic</term><term>Prosthodontic services</term><term>Public health</term><term>Public health dent</term><term>Public health dentistry</term><term>Public sector</term><term>Random sample</term><term>Rate ratio</term><term>Rating</term><term>Ratingt seifa index</term><term>Reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference</term><term>Research unit</term><term>Resident population</term><term>Restorative demand</term><term>Restorative services</term><term>Restorative treatment thresholds</term><term>Sampling period</term><term>Seifa index</term><term>Service areas</term><term>Service data</term><term>Service patterns</term><term>Service provision</term><term>Service provision models</term><term>Service provision patterns</term><term>Service rates</term><term>Significant differences</term><term>Socioeconomic status</term><term>Strong effects</term><term>Thigher rating</term><term>Tooth loss</term><term>Treatment decisions</term><term>Treatment 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patterns</term><term>Dental service provision</term><term>Dental service rates</term><term>Dental services</term><term>Dentate</term><term>Dentate adults</term><term>Dentist</term><term>Dentist service rates</term><term>Dentistry</term><term>Denture</term><term>Emergency visits</term><term>Endodontic</term><term>Endodontic services</term><term>Extraction</term><term>Female dentists</term><term>General practice</term><term>Geographic location</term><term>Health card</term><term>Health status</term><term>Higher extraction rate</term><term>Higher payment scale ratings</term><term>Higher percentage</term><term>Higher percentages</term><term>Higher provision</term><term>Higher rates</term><term>Higherdental knowledge rating</term><term>Independent variables</term><term>Infrequent attenders</term><term>Insurance coverage</term><term>Insurance status</term><term>Interaction terms</term><term>Knowledge rating</term><term>Lower extraction rates</term><term>Lower provision</term><term>Lower rates</term><term>Lowest income group</term><term>Main areas</term><term>Male dentists</term><term>Male patients</term><term>Moderate effects</term><term>Multivariate</term><term>Multivariate models</term><term>Multivariate poisson regression models</term><term>Natural dentition</term><term>Nonemergency</term><term>Nonemergency visits</term><term>Older adults</term><term>Oral health</term><term>Oral health factors</term><term>Oral health status</term><term>Oral health variables</term><term>Other factors</term><term>Payment scale</term><term>Payment scale ratings</term><term>Periodontal disease</term><term>Poisson</term><term>Poisson regression</term><term>Postal code</term><term>Postal code area</term><term>Potential bias</term><term>Practitioner</term><term>Preventive orientation</term><term>Preventive services</term><term>Previous location capital city noncapital denture status</term><term>Private practice</term><term>Private sector</term><term>Prosthodontic</term><term>Prosthodontic services</term><term>Public health</term><term>Public health dent</term><term>Public health dentistry</term><term>Public sector</term><term>Random sample</term><term>Rate ratio</term><term>Rating</term><term>Ratingt seifa index</term><term>Reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference</term><term>Research unit</term><term>Resident population</term><term>Restorative demand</term><term>Restorative services</term><term>Restorative treatment thresholds</term><term>Sampling period</term><term>Seifa index</term><term>Service areas</term><term>Service data</term><term>Service patterns</term><term>Service provision</term><term>Service provision models</term><term>Service provision patterns</term><term>Service rates</term><term>Significant differences</term><term>Socioeconomic status</term><term>Strong effects</term><term>Thigher rating</term><term>Tooth loss</term><term>Treatment decisions</term><term>Treatment selection</term><term>Uninsured patient status</term><term>Visit characteristics</term><term>Visit factors</term><term>Visit type</term><term>Visit type emergency nonemergency insurance status</term><term>Weak effects</term><term>Wide range</term><term>Years patient</term><term>Years years years</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Objectives: Service provision should reflect the oral health of the patient. However, patient and visit factors may influence service patterns and the appropriateness of care delivered. The aim of this study was to examine factors associated with variation in dental services and to assess whether variation by patient and visit characteristics persisted after controlling for oral health status. Methods: A random sample of Australian dentists was surveyed during 1997–98 (response rate=60.3%). Private general practitioners (n=345) provided data on service provision, as well as patient, visit and oral health variables from a log of a typical clinical day (n=4,115 patients). Multivariate Poisson regression models were run for eight service areas (e.g., diagnostic, preventive, and restorative). Results: Significant effects (P<.05) were observed for oral health factors in all eight models, visit factors in all eight models, patient demographics in four models, dental knowledge/behavior in one model, and area‐based socioeconomic status in one model. Conclusions: After controlling for oral health, visit characteristics persisted as significant predictors of services, with nonemergency visits, insurance, and capital city location associated with more favorable service mix patterns. Higher socioeconomic status areas and payment scale ratings also were associated with a better service pattern in particular service areas. These findings show that a wide range of factors, in addition to oral health, contribute to variation in service provision.</div></front></TEI><istex><corpusName>wiley</corpusName><keywords><teeft><json:string>oral health</json:string><json:string>oral health status</json:string><json:string>prosthodontic</json:string><json:string>nonemergency</json:string><json:string>denture</json:string><json:string>dentate</json:string><json:string>dental services</json:string><json:string>service patterns</json:string><json:string>dental care</json:string><json:string>independent variables</json:string><json:string>service rates</json:string><json:string>service provision</json:string><json:string>endodontic</json:string><json:string>poisson</json:string><json:string>dent</json:string><json:string>multivariate</json:string><json:string>community dent</json:string><json:string>oral health factors</json:string><json:string>health status</json:string><json:string>decayed 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rate</json:string><json:string>service provision models</json:string><json:string>lower provision</json:string><json:string>endodontic services</json:string><json:string>postal code</json:string><json:string>moderate effects</json:string><json:string>sampling period</json:string><json:string>reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference reference</json:string><json:string>restorative demand</json:string><json:string>service provision patterns</json:string><json:string>restorative treatment thresholds</json:string><json:string>dental practice</json:string><json:string>male patients</json:string><json:string>aust dent</json:string><json:string>potential bias</json:string><json:string>male dentists</json:string><json:string>female dentists</json:string><json:string>clinical decision</json:string><json:string>practitioner</json:string><json:string>rating</json:string><json:string>extraction</json:string><json:string>dentist</json:string></teeft></keywords><author><json:item><name>David S. Brennan MPH, PhD;</name><affiliations><json:string>E-mail: aihw.dsru@dentistry.adelaide.edu.au</json:string></affiliations></json:item><json:item><name>A. John Spencer MDSc, MPH, PhD</name><affiliations><json:string>E-mail: aihw.dsru@dentistry.adelaide.edu.au</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>patients</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>oral health</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>dental health services</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>dental general practice</value></json:item></subject><articleId><json:string>JPHD148</json:string></articleId><arkIstex>ark:/67375/WNG-RLG3B8D9-M</arkIstex><language><json:string>eng</json:string></language><originalGenre><json:string>article</json:string></originalGenre><abstract>Objectives: Service provision should reflect the oral health of the patient. However, patient and visit factors may influence service patterns and the appropriateness of care delivered. The aim of this study was to examine factors associated with variation in dental services and to assess whether variation by patient and visit characteristics persisted after controlling for oral health status. Methods: A random sample of Australian dentists was surveyed during 1997–98 (response rate=60.3%). Private general practitioners (n=345) provided data on service provision, as well as patient, visit and oral health variables from a log of a typical clinical day (n=4,115 patients). Multivariate Poisson regression models were run for eight service areas (e.g., diagnostic, preventive, and restorative). Results: Significant effects (P>.05) were observed for oral health factors in all eight models, visit factors in all eight models, patient demographics in four models, dental knowledge/behavior in one model, and area‐based socioeconomic status in one model. Conclusions: After controlling for oral health, visit characteristics persisted as significant predictors of services, with nonemergency visits, insurance, and capital city location associated with more favorable service mix patterns. Higher socioeconomic status areas and payment scale ratings also were associated with a better service pattern in particular service areas. These findings show that a wide range of factors, in addition to oral health, contribute to variation in service provision.</abstract><qualityIndicators><score>9.64</score><pdfWordCount>6094</pdfWordCount><pdfCharCount>44811</pdfCharCount><pdfVersion>1.3</pdfVersion><pdfPageCount>10</pdfPageCount><pdfPageSize>612 x 791.759 pts</pdfPageSize><refBibsNative>true</refBibsNative><abstractWordCount>220</abstractWordCount><abstractCharCount>1556</abstractCharCount><keywordCount>4</keywordCount></qualityIndicators><title>Influence of Patient, Visit, and Oral Health Factors on Dental Service Provision</title><pmid><json:string>12180042</json:string></pmid><genre><json:string>article</json:string></genre><host><title>Journal of Public Health Dentistry</title><language><json:string>unknown</json:string></language><doi><json:string>10.1111/(ISSN)1752-7325</json:string></doi><issn><json:string>0022-4006</json:string></issn><eissn><json:string>1752-7325</json:string></eissn><publisherId><json:string>JPHD</json:string></publisherId><volume>62</volume><issue>3</issue><pages><first>148</first><last>157</last><total>10</total></pages><genre><json:string>journal</json:string></genre></host><namedEntities><unitex><date><json:string>1997</json:string><json:string>1/12/01</json:string><json:string>11/17/00</json:string><json:string>8/2/01</json:string><json:string>2002</json:string><json:string>1994</json:string></date><geogName></geogName><orgName><json:string>University of Adelaide</json:string><json:string>Statistics and Research Unit, University of Adelaide</json:string><json:string>Public Health Postgraduate Research Scholarship</json:string><json:string>Australian Dental Research Foundation</json:string><json:string>National Health Strategy</json:string><json:string>Australian Bureau of Statistics</json:string><json:string>National Health and Medical Research Council Expert Advisory Panel</json:string><json:string>Australian Dental Association</json:string><json:string>Australian Institute of Health and Welfare</json:string></orgName><orgName_funder></orgName_funder><orgName_provider></orgName_provider><persName><json:string>Spencer</json:string><json:string>John Spencer</json:string><json:string>Thesefindings</json:string><json:string>Demographics</json:string></persName><placeName><json:string>New Previous</json:string><json:string>Australia</json:string><json:string>Preventive Restorative Bridge</json:string><json:string>United Kingdom</json:string></placeName><ref_url></ref_url><ref_bibl></ref_bibl><bibl></bibl></unitex></namedEntities><ark><json:string>ark:/67375/WNG-RLG3B8D9-M</json:string></ark><categories><wos><json:string>1 - social science</json:string><json:string>2 - public, environmental & occupational health</json:string><json:string>1 - science</json:string><json:string>2 - dentistry, oral surgery & medicine</json:string></wos><scienceMetrix><json:string>1 - health sciences</json:string><json:string>2 - clinical medicine</json:string><json:string>3 - dentistry</json:string></scienceMetrix><scopus><json:string>1 - Health Sciences</json:string><json:string>2 - Medicine</json:string><json:string>3 - Public Health, Environmental and Occupational Health</json:string><json:string>1 - Health Sciences</json:string><json:string>2 - Dentistry</json:string><json:string>3 - General Dentistry</json:string></scopus><inist><json:string>1 - sciences appliquees, technologies et medecines</json:string><json:string>2 - sciences biologiques et medicales</json:string><json:string>3 - sciences medicales</json:string></inist></categories><publicationDate>2002</publicationDate><copyrightDate>2002</copyrightDate><doi><json:string>10.1111/j.1752-7325.2002.tb03436.x</json:string></doi><id>66B4B528B0DB770FD94291A2CB2C1319D1202104</id><score>1</score><fulltext><json:item><extension>pdf</extension><original>true</original><mimetype>application/pdf</mimetype><uri>https://api.istex.fr/document/66B4B528B0DB770FD94291A2CB2C1319D1202104/fulltext/pdf</uri></json:item><json:item><extension>zip</extension><original>false</original><mimetype>application/zip</mimetype><uri>https://api.istex.fr/document/66B4B528B0DB770FD94291A2CB2C1319D1202104/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/66B4B528B0DB770FD94291A2CB2C1319D1202104/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a" type="main">Influence of Patient, Visit, and Oral Health Factors on Dental Service Provision</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>Blackwell Publishing Ltd</publisher><pubPlace>Oxford, UK</pubPlace><date type="published" when="2002-09"></date></publicationStmt><notesStmt><note type="content-type" subtype="article" source="article" scheme="https://content-type.data.istex.fr/ark:/67375/XTP-6N5SZHKN-D">article</note><note type="publication-type" subtype="journal" scheme="https://publication-type.data.istex.fr/ark:/67375/JMC-0GLKJH51-B">journal</note></notesStmt><sourceDesc><biblStruct type="article"><analytic><title level="a" type="main">Influence of Patient, Visit, and Oral Health Factors on Dental Service Provision</title><author xml:id="author-0000" role="corresp"><persName><forename type="first">David S.</forename><surname>Brennan</surname><roleName type="degree">MPH, PhD;</roleName></persName><affiliation>Send correspondence and reprint requests to Dr. Spencer, AIHW Dental Statistics and Research Unit, Dental School, Faculty of Health sciences, University of Adelaide, South Australia 5005. E‐mail: aihw.dsru@dentistry.adelaide.edu.au. Dr. Brennan is also affiliated with the AMW Dental Statistics and Research Unit, University of Adelaide. This study was supported by a grant #000730 from the Australian Dental Research Foundation and an NHMRC Public Health Postgraduate Research Scholarship.</affiliation></author><author xml:id="author-0001" role="corresp"><persName><forename type="first">A. John</forename><surname>Spencer</surname><roleName type="degree">MDSc, MPH, PhD</roleName></persName><affiliation>Send correspondence and reprint requests to Dr. Spencer, AIHW Dental Statistics and Research Unit, Dental School, Faculty of Health sciences, University of Adelaide, South Australia 5005. E‐mail: aihw.dsru@dentistry.adelaide.edu.au. Dr. Brennan is also affiliated with the AMW Dental Statistics and Research Unit, University of Adelaide. This study was supported by a grant #000730 from the Australian Dental Research Foundation and an NHMRC Public Health Postgraduate Research Scholarship.</affiliation></author><idno type="istex">66B4B528B0DB770FD94291A2CB2C1319D1202104</idno><idno type="ark">ark:/67375/WNG-RLG3B8D9-M</idno><idno type="DOI">10.1111/j.1752-7325.2002.tb03436.x</idno><idno type="unit">JPHD148</idno><idno type="toTypesetVersion">file:JPHD.JPHD148.pdf</idno></analytic><monogr><title level="j" type="main">Journal of Public Health Dentistry</title><title level="j" type="alt">JOURNAL OF PUBLIC HEALTH DENTISTRY</title><idno type="pISSN">0022-4006</idno><idno type="eISSN">1752-7325</idno><idno type="book-DOI">10.1111/(ISSN)1752-7325</idno><idno type="book-part-DOI">10.1111/jphd.2002.62.issue-3</idno><idno type="product">JPHD</idno><idno type="publisherDivision">ST</idno><imprint><biblScope unit="vol">62</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="148">148</biblScope><biblScope unit="page" to="157">157</biblScope><biblScope unit="page-count">10</biblScope><publisher>Blackwell Publishing Ltd</publisher><pubPlace>Oxford, UK</pubPlace><date type="published" when="2002-09"></date></imprint></monogr></biblStruct></sourceDesc></fileDesc><profileDesc><abstract xml:lang="en" style="main"><head>Abstract</head><p>Objectives: Service provision should reflect the oral health of the patient. However, patient and visit factors may influence service patterns and the appropriateness of care delivered. The aim of this study was to examine factors associated with variation in dental services and to assess whether variation by patient and visit characteristics persisted after controlling for oral health status. Methods: A random sample of Australian dentists was surveyed during 1997–98 (response rate=60.3%). Private general practitioners (n=345) provided data on service provision, as well as patient, visit and oral health variables from a log of a typical clinical day (n=4,115 patients). Multivariate Poisson regression models were run for eight service areas (e.g., diagnostic, preventive, and restorative). Results: Significant effects (P<.05) were observed for oral health factors in all eight models, visit factors in all eight models, patient demographics in four models, dental knowledge/behavior in one model, and area‐based socioeconomic status in one model. Conclusions: After controlling for oral health, visit characteristics persisted as significant predictors of services, with nonemergency visits, insurance, and capital city location associated with more favorable service mix patterns. Higher socioeconomic status areas and payment scale ratings also were associated with a better service pattern in particular service areas. These findings show that a wide range of factors, in addition to oral health, contribute to variation in service provision.</p></abstract><textClass><keywords xml:lang="en"><term xml:id="k1">patients</term><term xml:id="k2">oral health</term><term xml:id="k3">dental health services</term><term xml:id="k4">dental general practice</term></keywords></textClass><langUsage><language ident="en"></language></langUsage></profileDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/66B4B528B0DB770FD94291A2CB2C1319D1202104/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Wiley, elements deleted: body"><istex:xmlDeclaration>version="1.0" encoding="UTF-8" standalone="yes"</istex:xmlDeclaration><istex:document><component version="2.0" type="serialArticle" xml:lang="en"><header><publicationMeta level="product"><publisherInfo><publisherName>Blackwell Publishing Ltd</publisherName><publisherLoc>Oxford, UK</publisherLoc></publisherInfo><doi origin="wiley" registered="yes">10.1111/(ISSN)1752-7325</doi><issn type="print">0022-4006</issn><issn type="electronic">1752-7325</issn><idGroup><id type="product" value="JPHD"></id><id type="publisherDivision" value="ST"></id></idGroup><titleGroup><title type="main" sort="JOURNAL OF PUBLIC HEALTH DENTISTRY">Journal of Public Health Dentistry</title></titleGroup></publicationMeta><publicationMeta level="part" position="09003"><doi origin="wiley">10.1111/jphd.2002.62.issue-3</doi><numberingGroup><numbering type="journalVolume" number="62">62</numbering><numbering type="journalIssue" number="3">3</numbering></numberingGroup><coverDate startDate="2002-09">September 2002</coverDate></publicationMeta><publicationMeta level="unit" type="article" position="0014800" status="forIssue"><doi origin="wiley">10.1111/j.1752-7325.2002.tb03436.x</doi><idGroup><id type="unit" value="JPHD148"></id></idGroup><countGroup><count type="pageTotal" number="10"></count></countGroup><eventGroup><event type="firstOnline" date="2007-05-01"></event><event type="publishedOnlineFinalForm" date="2007-05-01"></event><event type="xmlConverted" agent="Converter:BPG_TO_WML3G version:2.3.5 mode:FullText source:HeaderRef result:HeaderRef" date="2010-04-07"></event><event type="xmlConverted" agent="Converter:WILEY_ML3G_TO_WILEY_ML3GV2 version:3.8.8" date="2014-02-01"></event><event type="xmlConverted" agent="Converter:WML3G_To_WML3G version:4.1.7 mode:FullText,remove_FC" date="2014-10-30"></event></eventGroup><numberingGroup><numbering type="pageFirst" number="148">148</numbering><numbering type="pageLast" number="157">157</numbering></numberingGroup><correspondenceTo>Send correspondence and reprint requests to Dr. Spencer, AIHW Dental Statistics and Research Unit, Dental School, Faculty of Health sciences, University of Adelaide, South Australia 5005. E‐mail: <email>aihw.dsru@dentistry.adelaide.edu.au</email>. Dr. Brennan is also affiliated with the AMW Dental Statistics and Research Unit, University of Adelaide. This study was supported by a grant #000730 from the Australian Dental Research Foundation and an NHMRC Public Health Postgraduate Research Scholarship.</correspondenceTo><linkGroup><link type="toTypesetVersion" href="file:JPHD.JPHD148.pdf"></link></linkGroup></publicationMeta><contentMeta><unparsedEditorialHistory>Manuscript received 11/17/00; returned to authors for revision: 1/12/01; accepted for publication: 8/2/01.</unparsedEditorialHistory><countGroup><count type="referenceTotal" number="67"></count><count type="linksCrossRef" number="2"></count></countGroup><titleGroup><title type="main">Influence of Patient, Visit, and Oral Health Factors on Dental Service Provision</title></titleGroup><creators><creator creatorRole="author" xml:id="cr1" corresponding="yes"><personName><givenNames>David S.</givenNames><familyName>Brennan</familyName><degrees>MPH, PhD;</degrees></personName></creator><creator creatorRole="author" xml:id="cr2" corresponding="yes"><personName><givenNames>A. John</givenNames><familyName>Spencer</familyName><degrees>MDSc, MPH, PhD</degrees></personName></creator></creators><keywordGroup xml:lang="en"><keyword xml:id="k1">patients</keyword><keyword xml:id="k2">oral health</keyword><keyword xml:id="k3">dental health services</keyword><keyword xml:id="k4">dental general practice</keyword></keywordGroup><abstractGroup><abstract type="main" xml:lang="en"><title type="main">Abstract</title><p>Objectives: Service provision should reflect the oral health of the patient. However, patient and visit factors may influence service patterns and the appropriateness of care delivered. The aim of this study was to examine factors associated with variation in dental services and to assess whether variation by patient and visit characteristics persisted after controlling for oral health status. Methods: A random sample of Australian dentists was surveyed during 1997–98 (response rate=60.3%). Private general practitioners (n=345) provided data on service provision, as well as patient, visit and oral health variables from a log of a typical clinical day (n=4,115 patients). Multivariate Poisson regression models were run for eight service areas (e.g., diagnostic, preventive, and restorative). Results: Significant effects (P<.05) were observed for oral health factors in all eight models, visit factors in all eight models, patient demographics in four models, dental knowledge/behavior in one model, and area‐based socioeconomic status in one model. Conclusions: After controlling for oral health, visit characteristics persisted as significant predictors of services, with nonemergency visits, insurance, and capital city location associated with more favorable service mix patterns. Higher socioeconomic status areas and payment scale ratings also were associated with a better service pattern in particular service areas. These findings show that a wide range of factors, in addition to oral health, contribute to variation in service provision.</p></abstract></abstractGroup></contentMeta></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Influence of Patient, Visit, and Oral Health Factors on Dental Service Provision</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Influence of Patient, Visit, and Oral Health Factors on Dental Service Provision</title></titleInfo><name type="personal"><namePart type="given">David S.</namePart><namePart type="family">Brennan</namePart><namePart type="termsOfAddress">MPH, PhD;</namePart><affiliation>E-mail: aihw.dsru@dentistry.adelaide.edu.au</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">A. John</namePart><namePart type="family">Spencer</namePart><namePart type="termsOfAddress">MDSc, MPH, PhD</namePart><affiliation>E-mail: aihw.dsru@dentistry.adelaide.edu.au</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article" authority="ISTEX" authorityURI="https://content-type.data.istex.fr" valueURI="https://content-type.data.istex.fr/ark:/67375/XTP-6N5SZHKN-D">article</genre><originInfo><publisher>Blackwell Publishing Ltd</publisher><place><placeTerm type="text">Oxford, UK</placeTerm></place><dateIssued encoding="w3cdtf">2002-09</dateIssued><edition>Manuscript received 11/17/00; returned to authors for revision: 1/12/01; accepted for publication: 8/2/01.</edition><copyrightDate encoding="w3cdtf">2002</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><extent unit="references">67</extent><extent unit="linksCrossRef">2</extent></physicalDescription><abstract lang="en">Objectives: Service provision should reflect the oral health of the patient. However, patient and visit factors may influence service patterns and the appropriateness of care delivered. The aim of this study was to examine factors associated with variation in dental services and to assess whether variation by patient and visit characteristics persisted after controlling for oral health status. Methods: A random sample of Australian dentists was surveyed during 1997–98 (response rate=60.3%). Private general practitioners (n=345) provided data on service provision, as well as patient, visit and oral health variables from a log of a typical clinical day (n=4,115 patients). Multivariate Poisson regression models were run for eight service areas (e.g., diagnostic, preventive, and restorative). Results: Significant effects (P<.05) were observed for oral health factors in all eight models, visit factors in all eight models, patient demographics in four models, dental knowledge/behavior in one model, and area‐based socioeconomic status in one model. Conclusions: After controlling for oral health, visit characteristics persisted as significant predictors of services, with nonemergency visits, insurance, and capital city location associated with more favorable service mix patterns. Higher socioeconomic status areas and payment scale ratings also were associated with a better service pattern in particular service areas. These findings show that a wide range of factors, in addition to oral health, contribute to variation in service provision.</abstract><subject lang="en"><genre>keywords</genre><topic>patients</topic><topic>oral health</topic><topic>dental health services</topic><topic>dental general practice</topic></subject><relatedItem type="host"><titleInfo><title>Journal of Public Health Dentistry</title></titleInfo><genre type="journal" authority="ISTEX" authorityURI="https://publication-type.data.istex.fr" valueURI="https://publication-type.data.istex.fr/ark:/67375/JMC-0GLKJH51-B">journal</genre><identifier type="ISSN">0022-4006</identifier><identifier type="eISSN">1752-7325</identifier><identifier type="DOI">10.1111/(ISSN)1752-7325</identifier><identifier type="PublisherID">JPHD</identifier><part><date>2002</date><detail type="volume"><caption>vol.</caption><number>62</number></detail><detail type="issue"><caption>no.</caption><number>3</number></detail><extent unit="pages"><start>148</start><end>157</end><total>10</total></extent></part></relatedItem><identifier type="istex">66B4B528B0DB770FD94291A2CB2C1319D1202104</identifier><identifier type="ark">ark:/67375/WNG-RLG3B8D9-M</identifier><identifier type="DOI">10.1111/j.1752-7325.2002.tb03436.x</identifier><identifier type="ArticleID">JPHD148</identifier><recordInfo><recordContentSource authority="ISTEX" authorityURI="https://loaded-corpus.data.istex.fr" valueURI="https://loaded-corpus.data.istex.fr/ark:/67375/XBH-L0C46X92-X">wiley</recordContentSource><recordOrigin>Blackwell Publishing Ltd</recordOrigin></recordInfo></mods><json:item><extension>json</extension><original>false</original><mimetype>application/json</mimetype><uri>https://api.istex.fr/document/66B4B528B0DB770FD94291A2CB2C1319D1202104/metadata/json</uri></json:item></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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