Urban-suburban differences in GP requests for lumbosacral spine radiographs in a primary healthcare centre in Malta
Due to demographic changes, growing demands, technological developments and rising healthcare costs, analysis of resources in rural and urban primary care clinics is crucial. However, data on primary care provision in rural and suburban areas are lacking. Moreover, health inequities in small island...
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description | Due to demographic changes, growing demands, technological developments and rising healthcare costs, analysis of resources in rural and urban primary care clinics is crucial. However, data on primary care provision in rural and suburban areas are lacking. Moreover, health inequities in small island communities tend to be reduced by social homogeneity and an almost indiscernible urban-rural difference. The aim of the study was to examine the urban-suburban differences in the indications for lumbosacral spine radiographs in a public primary healthcare centre in Malta.
A list of all patients who underwent lumbosacral spine radiography in a public primary healthcare centre between January and June 2014 was obtained. The indications for lumbosacral spine radiographs were compared against the evidence-based indications posited by the America College of Radiology, the American Society of Spine Radiology, the Society for Pediatric Radiology and the Society of Skeletal Radiology in 2014. Differences between suburban and urban areas were analysed using the χ² test. Direct logistic regression was used to estimate the influences of different patients' characteristics and imaging indications in urban and suburban areas.
The logistic regression model predicting the likelihood of different factors occurring with suburban patients as opposed to those residing in urban areas contained four independent variables (private/public sector, examination findings, osteoporosis, infection). The full model containing all predictors was statistically significant, c2 (4, N=1112) = 26.57, p≤0.001, indicating that the model was able to distinguish between patients residing in rural and urban areas. All four of the independent variables made a unique, statistically significant contribution to the model. The model as a whole explained between 2.4% (Cox and Snell R2) and 3.6% (Nagelkerke R2) of the variance in suburban/urban areas, and correctly classified 78.5% of cases. All four of the independent variables made a unique statistically significant contribution to the model. General practitioner (GP) requests for patients residing in suburban areas were more likely to be submitted from the private sector whereas urban GPs tended to include more examination findings. Requests by GPs for lumbosacral spine radiographs due to osteoporosis and infection tended to be more prevalent for urban patients.
Such findings provide information for policymakers to improve equity in health care and resourc |
doi_str_mv | 10.22605/RRH4154 |
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A list of all patients who underwent lumbosacral spine radiography in a public primary healthcare centre between January and June 2014 was obtained. The indications for lumbosacral spine radiographs were compared against the evidence-based indications posited by the America College of Radiology, the American Society of Spine Radiology, the Society for Pediatric Radiology and the Society of Skeletal Radiology in 2014. Differences between suburban and urban areas were analysed using the χ² test. Direct logistic regression was used to estimate the influences of different patients' characteristics and imaging indications in urban and suburban areas.
The logistic regression model predicting the likelihood of different factors occurring with suburban patients as opposed to those residing in urban areas contained four independent variables (private/public sector, examination findings, osteoporosis, infection). The full model containing all predictors was statistically significant, c2 (4, N=1112) = 26.57, p≤0.001, indicating that the model was able to distinguish between patients residing in rural and urban areas. All four of the independent variables made a unique, statistically significant contribution to the model. The model as a whole explained between 2.4% (Cox and Snell R2) and 3.6% (Nagelkerke R2) of the variance in suburban/urban areas, and correctly classified 78.5% of cases. All four of the independent variables made a unique statistically significant contribution to the model. General practitioner (GP) requests for patients residing in suburban areas were more likely to be submitted from the private sector whereas urban GPs tended to include more examination findings. Requests by GPs for lumbosacral spine radiographs due to osteoporosis and infection tended to be more prevalent for urban patients.
Such findings provide information for policymakers to improve equity in health care and resource allocations within the settings of urbanity and rurality.</description><identifier>ISSN: 1445-6354</identifier><identifier>EISSN: 1445-6354</identifier><identifier>DOI: 10.22605/RRH4154</identifier><identifier>PMID: 29706083</identifier><language>eng</language><publisher>Australia: James Cook University</publisher><subject><![CDATA[Adolescent ; Adult ; Aged ; Aged, 80 and over ; Child ; Ethics ; Female ; General Practitioners - statistics & numerical data ; Health care ; Health care policy ; Healthcare Disparities - statistics & numerical data ; Humans ; Logistic Models ; Lumbosacral Region - diagnostic imaging ; Male ; Malta ; Middle Aged ; Osteoporosis ; Patients ; Pediatrics ; Practice Patterns, Physicians' - statistics & numerical data ; Primary care ; Primary Health Care - statistics & numerical data ; Private sector ; Public Sector ; Radiography ; Radiology ; Rural areas ; Rural Population - statistics & numerical data ; Society ; Socioeconomic Factors ; Spine ; Suburban areas ; Urban areas ; Urban Population - statistics & numerical data ; Young Adult]]></subject><ispartof>Rural and remote health, 2018-01, Vol.18 (2), p.4154-4154</ispartof><rights>2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,864,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29706083$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Pullicino, Glorianne</creatorcontrib><creatorcontrib>Sciortino, Philip</creatorcontrib><creatorcontrib>Francalanza, Sean</creatorcontrib><creatorcontrib>Sciortino, Paul</creatorcontrib><creatorcontrib>Pullicino, Richard</creatorcontrib><title>Urban-suburban differences in GP requests for lumbosacral spine radiographs in a primary healthcare centre in Malta</title><title>Rural and remote health</title><addtitle>Rural Remote Health</addtitle><description>Due to demographic changes, growing demands, technological developments and rising healthcare costs, analysis of resources in rural and urban primary care clinics is crucial. However, data on primary care provision in rural and suburban areas are lacking. Moreover, health inequities in small island communities tend to be reduced by social homogeneity and an almost indiscernible urban-rural difference. The aim of the study was to examine the urban-suburban differences in the indications for lumbosacral spine radiographs in a public primary healthcare centre in Malta.
A list of all patients who underwent lumbosacral spine radiography in a public primary healthcare centre between January and June 2014 was obtained. The indications for lumbosacral spine radiographs were compared against the evidence-based indications posited by the America College of Radiology, the American Society of Spine Radiology, the Society for Pediatric Radiology and the Society of Skeletal Radiology in 2014. Differences between suburban and urban areas were analysed using the χ² test. Direct logistic regression was used to estimate the influences of different patients' characteristics and imaging indications in urban and suburban areas.
The logistic regression model predicting the likelihood of different factors occurring with suburban patients as opposed to those residing in urban areas contained four independent variables (private/public sector, examination findings, osteoporosis, infection). The full model containing all predictors was statistically significant, c2 (4, N=1112) = 26.57, p≤0.001, indicating that the model was able to distinguish between patients residing in rural and urban areas. All four of the independent variables made a unique, statistically significant contribution to the model. The model as a whole explained between 2.4% (Cox and Snell R2) and 3.6% (Nagelkerke R2) of the variance in suburban/urban areas, and correctly classified 78.5% of cases. All four of the independent variables made a unique statistically significant contribution to the model. General practitioner (GP) requests for patients residing in suburban areas were more likely to be submitted from the private sector whereas urban GPs tended to include more examination findings. Requests by GPs for lumbosacral spine radiographs due to osteoporosis and infection tended to be more prevalent for urban patients.
Such findings provide information for policymakers to improve equity in health care and resource allocations within the settings of urbanity and rurality.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Child</subject><subject>Ethics</subject><subject>Female</subject><subject>General Practitioners - statistics & numerical data</subject><subject>Health care</subject><subject>Health care policy</subject><subject>Healthcare Disparities - statistics & numerical data</subject><subject>Humans</subject><subject>Logistic Models</subject><subject>Lumbosacral Region - diagnostic imaging</subject><subject>Male</subject><subject>Malta</subject><subject>Middle Aged</subject><subject>Osteoporosis</subject><subject>Patients</subject><subject>Pediatrics</subject><subject>Practice Patterns, Physicians' - statistics & numerical data</subject><subject>Primary care</subject><subject>Primary Health Care - statistics & numerical data</subject><subject>Private sector</subject><subject>Public Sector</subject><subject>Radiography</subject><subject>Radiology</subject><subject>Rural areas</subject><subject>Rural Population - statistics & numerical data</subject><subject>Society</subject><subject>Socioeconomic Factors</subject><subject>Spine</subject><subject>Suburban areas</subject><subject>Urban areas</subject><subject>Urban Population - statistics & numerical data</subject><subject>Young Adult</subject><issn>1445-6354</issn><issn>1445-6354</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkUtLw0AQxxdRbK2Cn0AWvHiJ7ivZ5ChFW6GiFHsO-5i1KXm5mxz89sYaH3iaYeY3f-Y_g9A5JdeMJSS-Wa-XgsbiAE2pEHGU8Fgc_skn6CSEHSFMkpQdownLJElIyqcobLxWdRR63X8m2BbOgYfaQMBFjRfP2MNbD6EL2DUel32lm6CMVyUObVED9soWzatX7XY_oHDri0r5d7wFVXZbozxgA3U3hKH9ONTUKTpyqgxwNsYZ2tzfvcyX0epp8TC_XUWGk6SLOMlS6qy2MTfWZZY5rTkAGG2cBSFNrJxgOku51NLRmErtpLOGcJY45zifoasv3dY3ew95VQQDZalqaPqQs4GUGRUJGdDLf-iu6X09bJezRMaCS0GzX0HjmxA8uHw0m1OS7x-Rj48Y0ItRsNcV2B_w-_L8Az-PhPc</recordid><startdate>20180101</startdate><enddate>20180101</enddate><creator>Pullicino, Glorianne</creator><creator>Sciortino, Philip</creator><creator>Francalanza, Sean</creator><creator>Sciortino, Paul</creator><creator>Pullicino, Richard</creator><general>James Cook University</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M0T</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope></search><sort><creationdate>20180101</creationdate><title>Urban-suburban differences in GP requests for lumbosacral spine radiographs in a primary healthcare centre in Malta</title><author>Pullicino, Glorianne ; 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However, data on primary care provision in rural and suburban areas are lacking. Moreover, health inequities in small island communities tend to be reduced by social homogeneity and an almost indiscernible urban-rural difference. The aim of the study was to examine the urban-suburban differences in the indications for lumbosacral spine radiographs in a public primary healthcare centre in Malta.
A list of all patients who underwent lumbosacral spine radiography in a public primary healthcare centre between January and June 2014 was obtained. The indications for lumbosacral spine radiographs were compared against the evidence-based indications posited by the America College of Radiology, the American Society of Spine Radiology, the Society for Pediatric Radiology and the Society of Skeletal Radiology in 2014. Differences between suburban and urban areas were analysed using the χ² test. Direct logistic regression was used to estimate the influences of different patients' characteristics and imaging indications in urban and suburban areas.
The logistic regression model predicting the likelihood of different factors occurring with suburban patients as opposed to those residing in urban areas contained four independent variables (private/public sector, examination findings, osteoporosis, infection). The full model containing all predictors was statistically significant, c2 (4, N=1112) = 26.57, p≤0.001, indicating that the model was able to distinguish between patients residing in rural and urban areas. All four of the independent variables made a unique, statistically significant contribution to the model. The model as a whole explained between 2.4% (Cox and Snell R2) and 3.6% (Nagelkerke R2) of the variance in suburban/urban areas, and correctly classified 78.5% of cases. All four of the independent variables made a unique statistically significant contribution to the model. General practitioner (GP) requests for patients residing in suburban areas were more likely to be submitted from the private sector whereas urban GPs tended to include more examination findings. Requests by GPs for lumbosacral spine radiographs due to osteoporosis and infection tended to be more prevalent for urban patients.
Such findings provide information for policymakers to improve equity in health care and resource allocations within the settings of urbanity and rurality.</abstract><cop>Australia</cop><pub>James Cook University</pub><pmid>29706083</pmid><doi>10.22605/RRH4154</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Aged Aged, 80 and over Child Ethics Female General Practitioners - statistics & numerical data Health care Health care policy Healthcare Disparities - statistics & numerical data Humans Logistic Models Lumbosacral Region - diagnostic imaging Male Malta Middle Aged Osteoporosis Patients Pediatrics Practice Patterns, Physicians' - statistics & numerical data Primary care Primary Health Care - statistics & numerical data Private sector Public Sector Radiography Radiology Rural areas Rural Population - statistics & numerical data Society Socioeconomic Factors Spine Suburban areas Urban areas Urban Population - statistics & numerical data Young Adult |
title | Urban-suburban differences in GP requests for lumbosacral spine radiographs in a primary healthcare centre in Malta |
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