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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Veröffentlicht in:Rural and remote health 2018-01, Vol.18 (2), p.4154-4154
Hauptverfasser: Pullicino, Glorianne, Sciortino, Philip, Francalanza, Sean, Sciortino, Paul, Pullicino, Richard
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creator Pullicino, Glorianne
Sciortino, Philip
Francalanza, Sean
Sciortino, Paul
Pullicino, Richard
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
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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. 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source MEDLINE; DOAJ Directory of Open Access Journals; EZB Electronic Journals Library
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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