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458 records – page 1 of 46.

Availability of services in rural areas.

https://arctichealth.org/en/permalink/ahliterature198737
Source
CMAJ. 2000 Apr 18;162(8):1193
Publication Type
Article
Date
Apr-18-2000
Author
L. Buske
Source
CMAJ. 2000 Apr 18;162(8):1193
Date
Apr-18-2000
Language
English
Publication Type
Article
Keywords
Canada
Health Services Accessibility - statistics & numerical data
Humans
Rural Health Services - statistics & numerical data
PubMed ID
10789642 View in PubMed
Less detail

Access to patient services lacking: National Physician Survey.

https://arctichealth.org/en/permalink/ahliterature106453
Source
CMAJ. 2013 Dec 10;185(18):E813-4
Publication Type
Article
Date
Dec-10-2013

Access to advanced diagnostic services.

https://arctichealth.org/en/permalink/ahliterature125251
Source
Can Fam Physician. 2012 Apr;58(4):e202
Publication Type
Article
Date
Apr-2012

[The waiting periods of ambulatory polyclinic care as indicator of its accessibility].

https://arctichealth.org/en/permalink/ahliterature259444
Source
Probl Sotsialnoi Gig Zdravookhranenniiai Istor Med. 2014 Jul-Aug;(4):23-6
Publication Type
Article
Author
V O Shchepin
A S D'iachkova
Source
Probl Sotsialnoi Gig Zdravookhranenniiai Istor Med. 2014 Jul-Aug;(4):23-6
Language
Russian
Publication Type
Article
Keywords
Ambulatory Care Facilities - statistics & numerical data
Health Services Accessibility - statistics & numerical data
Humans
Moscow
Waiting Lists
Abstract
The article presents the results of analysis of waiting period of consultation of specialists in Moscow polyclinics exemplified by the ambulatory center of polyclinic No 201 of Moscow health department. The data of comparative analysis of indicators of polyclinics of different administrative okrugs of Moscow was also involved. The material was collected using the unified medical informative analytical system of polyclinic No 201 and included data concerning waiting periods of consultation of specialists with permitted self-appointment--surgeon, urologist, therapist, obstetrician-gynecologist and otorinolaringologist. The results of study demonstrated that the indicators of waiting period of consultation of specialists are highest in the Southern administrative okrug as compared with other okrugs. However, in one of amnulatory associations of this okrug (polyclinic Na 201) waiting period of consultation of obstetrician-gynecologist, ophthalmologist, urologist and surgeon was reliably lower in comparison with corresponding okrug mean indicators. This occurrence is related to high support of association with these categories of specialists. The longest waiting period both in okrug and association was established for otorinolaringologisit (4.4 and 6.3 days correspondingly). This is related to low support of population with these specialists. The presented analysis of waiting period of consultation of specialists of polyclinic section is a foundation for adequate decisior making in health management targeted to increasing of accessibility of medical care to population.
PubMed ID
25373294 View in PubMed
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Comparing alternative approaches to measuring the geographical accessibility of urban health services: Distance types and aggregation-error issues.

https://arctichealth.org/en/permalink/ahliterature158732
Source
Int J Health Geogr. 2008;7:7
Publication Type
Article
Date
2008
Author
Philippe Apparicio
Mohamed Abdelmajid
Mylène Riva
Richard Shearmur
Author Affiliation
Spatial Analysis and Regional Economics Laboratory, Université du Québec, Institut national de la recherche scientifique, Urbanisation, Culture et Société, 385 rue Sherbrooke est, Montréal (Québec), H2X 1E3, Canada. philippe_apparicio@ucs.inrs.ca
Source
Int J Health Geogr. 2008;7:7
Date
2008
Language
English
Publication Type
Article
Keywords
Health Services Accessibility - statistics & numerical data
Humans
Quebec
Statistics, nonparametric
Time Factors
Urban Health Services - statistics & numerical data
Abstract
Over the past two decades, geographical accessibility of urban resources for population living in residential areas has received an increased focus in urban health studies. Operationalising and computing geographical accessibility measures depend on a set of four parameters, namely definition of residential areas, a method of aggregation, a measure of accessibility, and a type of distance. Yet, the choice of these parameters may potentially generate different results leading to significant measurement errors. The aim of this paper is to compare discrepancies in results for geographical accessibility of selected health care services for residential areas (i.e. census tracts) computed using different distance types and aggregation methods.
First, the comparison of distance types demonstrates that Cartesian distances (Euclidean and Manhattan distances) are strongly correlated with more accurate network distances (shortest network and shortest network time distances) across the metropolitan area (Pearson correlation greater than 0.95). However, important local variations in correlation between Cartesian and network distances were observed notably in suburban areas where Cartesian distances were less precise.Second, the choice of the aggregation method is also important: in comparison to the most accurate aggregation method (population-weighted mean of the accessibility measure for census blocks within census tracts), accessibility measures computed from census tract centroids, though not inaccurate, yield important measurement errors for 5% to 10% of census tracts.
Although errors associated to the choice of distance types and aggregation method are only important for about 10% of census tracts located mainly in suburban areas, we should not avoid using the best estimation method possible for evaluating geographical accessibility. This is especially so if these measures are to be included as a dimension of the built environment in studies investigating residential area effects on health. If these measures are not sufficiently precise, this could lead to errors or lack of precision in the estimation of residential area effects on health.
Notes
Cites: Am J Prev Med. 2004 Oct;27(3):211-715450633
Cites: Int J Health Geogr. 2007;6:417295912
Cites: Int J Epidemiol. 2007 Apr;36(2):348-5517182634
Cites: Am J Prev Med. 2007 May;32(5):375-8217478262
Cites: J Policy Anal Manage. 2003 Sep 2;22(4):599-61314577416
Cites: Soc Sci Med. 2002 Jul;55(1):125-3912137182
Cites: Health Place. 2002 Jun;8(2):141-511943585
Cites: Med J Aust. 1999 Dec 6-20;171(11-12):614-610721346
Cites: Med Care. 1981 Feb;19(2):127-407206846
Cites: Soc Sci Med. 1982;16(1):85-907100960
Cites: J Health Soc Behav. 1995 Mar;36(1):1-107738325
Cites: Soc Sci Med. 1999 Aug;49(3):425-3310414825
Cites: Health Place. 2005 Jun;11(2):131-4615629681
Cites: J Epidemiol Community Health. 2006 May;60(5):389-9516614327
Cites: Int J Health Geogr. 2006;5:1616613601
Cites: Health Informatics J. 2006 Sep;12(3):227-3717023410
Cites: J Public Health Med. 2003 Dec;25(4):344-5014747594
PubMed ID
18282284 View in PubMed
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Access to care for rheumatology patients may be compromised: results of a survey to members of the Canadian Rheumatology Association.

https://arctichealth.org/en/permalink/ahliterature173517
Source
J Rheumatol. 2005 Aug;32(8):1418-21
Publication Type
Article
Date
Aug-2005

[No gender differences regarding the time spent waiting for a health care appointment according to a study]

https://arctichealth.org/en/permalink/ahliterature84535
Source
Lakartidningen. 2007 Oct 24-30;104(43):3187-9
Publication Type
Article
Author
Hansson Björn T A
Rahmqvist Mikael
Author Affiliation
Landstinget i Ostergötland. Bjorn.Hansson@lio.se
Source
Lakartidningen. 2007 Oct 24-30;104(43):3187-9
Language
Swedish
Publication Type
Article
Keywords
Appointments and Schedules
Female
Health Services Accessibility - statistics & numerical data
Humans
Male
Sex Distribution
Sex Factors
Sweden
Waiting Lists
PubMed ID
18018934 View in PubMed
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Canadian Cardiovascular Society commentary on implantable cardioverter defibrillators in Canada: waiting times and access to care issues.

https://arctichealth.org/en/permalink/ahliterature174329
Source
Can J Cardiol. 2005 May;21 Suppl A:19A-24A
Publication Type
Article
Date
May-2005
Author
C S Simpson
B J O'Neill
M M Sholdice
P. Dorian
C R Kerr
D B Ross
H. Ross
J M Brophy
Author Affiliation
Department of Medicine, Division of Cardiology, Queen's University, Kingston, Ontario. simpsonc@kgh.kari.net
Source
Can J Cardiol. 2005 May;21 Suppl A:19A-24A
Date
May-2005
Language
English
Publication Type
Article
Keywords
Canada
Death, Sudden, Cardiac - prevention & control
Defibrillators, Implantable
Health Services Accessibility - statistics & numerical data
Humans
Time Factors
Waiting Lists
Abstract
The Canadian Cardiovascular Society is the national professional society for cardiovascular specialists and researchers in Canada. In the spring of 2004, the Canadian Cardiovascular Society Council formed an Access to Care Working Group in an effort to use the best science and information to establish reasonable triage categories and safe wait times for access to common cardiovascular services and procedures. The Working Group has elected to publish a series of commentaries to initiate a structured national discussion on this very important issue. Access to treatment with implantable cardioverter defibrillators is the subject of the present commentary. The prevalence pool of potentially eligible patients is discussed, along with access barriers, regional disparities and waiting times. A maximum recommended waiting time is proposed and the framework for a solution-oriented approach is presented.
PubMed ID
15953940 View in PubMed
Less detail

Substance use and access to health care and addiction treatment among homeless and vulnerably housed persons in three Canadian cities.

https://arctichealth.org/en/permalink/ahliterature106710
Source
PLoS One. 2013;8(10):e75133
Publication Type
Article
Date
2013
Author
Anita Palepu
Anne Gadermann
Anita M Hubley
Susan Farrell
Evie Gogosis
Tim Aubry
Stephen W Hwang
Author Affiliation
Centre for Health Evaluation and Outcome Sciences, Department of Medicine, University of British Columbia, Vancouver, BC, Canada.
Source
PLoS One. 2013;8(10):e75133
Date
2013
Language
English
Publication Type
Article
Keywords
Canada
Female
Health Services Accessibility - statistics & numerical data
Homeless Persons - statistics & numerical data
Humans
Male
Substance-Related Disorders - epidemiology
Abstract
We examined the prevalence of substance use disorders among homeless and vulnerably housed persons in three Canadian cities and its association with unmet health care needs and access to addiction treatment using baseline data from the Health and Housing in Transition Study.
In 2009, 1191 homeless and vulnerably housed persons were recruited in Vancouver, Toronto, and Ottawa, Canada. Interviewer administered questionnaires collected data on socio-demographics, housing history, chronic health conditions, mental health diagnoses, problematic drug use (DAST-10=6), problematic alcohol use (AUDIT=20), unmet physical and mental health care needs, addiction treatment in the past 12 months. Three multiple logistic regression models were fit to examine the independent association of substance use with unmet physical health care need, unmet mental health care need, and addiction treatment.
Substance use was highly prevalent, with over half (53%) screening positive for the DAST-10 and 38% screening positive for the AUDIT. Problematic drug use was 29%, problematic alcohol use was lower at 16% and 7% had both problematic drug and alcohol use. In multiple regression models for unmet need, we found that problematic drug use was independently associated with unmet physical (adjusted odds ratio [AOR] 1.95; 95% confidence interval [CI] 1.43-2.64) and unmet mental (AOR 3.06; 95% CI 2.17-4.30) health care needs. Problematic alcohol use was not associated with unmet health care needs. Among those with problematic substance use, problematic drug use was associated with a greater likelihood of accessing addiction treatment compared to those with problematic alcohol use alone (AOR 2.32; 95% CI 1.18-4.54).
Problematic drug use among homeless and vulnerably housed individuals was associated with having unmet health care needs and accessing addiction treatment. Strategies to provide comprehensive health services including addiction treatment should be developed and integrated within community supported models of care.
Notes
Cites: J Gen Intern Med. 2009 Jul;24(7):841-719415393
Cites: Psychol Assess. 2000 Jun;12(2):186-9210887764
Cites: Exp Clin Psychopharmacol. 2009 Jun;17(3):165-7219586231
Cites: BMJ. 2009;339:b403619858533
Cites: BMC Health Serv Res. 2010;10:4620175909
Cites: J Urban Health. 1999 Dec;76(4):409-1810609591
Cites: Psychol Serv. 2013 May;10(2):233-4023356857
Cites: J Subst Abuse Treat. 2000 Dec;19(4):395-40111166504
Cites: JAMA. 2001 Jan 10;285(2):200-611176814
Cites: AIDS. 2001 Feb 16;15(3):423-411273228
Cites: CMAJ. 2001 Jan 23;164(2):229-3311332321
Cites: Subst Use Misuse. 2001 May-Jun;36(6-7):927-4611697616
Cites: Health Rep. 2002;13(3):15-2112743957
Cites: Subst Use Misuse. 2003 Feb-May;38(3-6):311-3812747388
Cites: Subst Use Misuse. 2003 Feb-May;38(3-6):551-7612747397
Cites: Can J Public Health. 2003 Nov-Dec;94(6):436-4014700243
Cites: Arch Gen Psychiatry. 1989 Sep;46(9):845-502774850
Cites: Am Psychol. 1991 Nov;46(11):1115-281772149
Cites: Am J Public Health. 1997 Feb;87(2):221-89103101
Cites: J Public Health (Oxf). 2005 Mar;27(1):62-615564279
Cites: Drug Alcohol Depend. 2005 Sep 1;79(3):295-30216102373
Cites: Community Ment Health J. 2005 Dec;41(6):737-4616328586
Cites: Am J Public Health. 2006 Jul;96(7):1300-716735628
Cites: Addiction. 2006 Dec;101(12):1696-70417156168
Cites: J Subst Abuse Treat. 2007 Mar;32(2):189-9817306727
Cites: J Health Psychol. 2007 Sep;12(5):709-2517855457
Cites: JAMA. 2009 May 6;301(17):1822-419417203
Cites: BMC Public Health. 2010;10:9420181248
Cites: Am J Public Health. 2010 Jul;100(7):1326-3320466953
Cites: Am J Public Health. 2010 Aug;100(8):1454-6120558789
Cites: PLoS One. 2010;5(7):e1169720657732
Cites: Soc Psychiatry Psychiatr Epidemiol. 2010 Nov;45(11):1055-6219816646
Cites: Scand J Public Health. 2011 Mar;39(2):121-721247970
Cites: Womens Health Issues. 2011 Sep-Oct;21(5):383-921703865
Cites: Open Med. 2011;5(2):e94-e10321915240
Cites: Int J Public Health. 2011 Dec;56(6):609-2321858461
Cites: Am J Community Psychol. 2012 Mar;49(1-2):142-5521557093
Cites: J Psychiatr Pract. 2012 Sep;18(5):349-6022995962
Cites: Psychiatr Serv. 2012 Dec;63(12):1195-20523117205
Cites: JAMA Intern Med. 2013 Feb 11;173(3):189-9523318302
Cites: Milbank Q. 2009 Jun;87(2):495-53419523126
PubMed ID
24124470 View in PubMed
Less detail

Estimating the length of waits: a description of the period lifetable method and comparison with census and event based methods.

https://arctichealth.org/en/permalink/ahliterature123715
Source
Health Serv Manage Res. 2012 May;25(2):97-109
Publication Type
Article
Date
May-2012
Author
Paul W Armstrong
Author Affiliation
School of Health, Sports & Biosciences, University of East London, London, UK. P.W.Armstrong@UEL.ac.uk
Source
Health Serv Manage Res. 2012 May;25(2):97-109
Date
May-2012
Language
English
Publication Type
Article
Keywords
Cataract Extraction
Censuses
Health Services Accessibility - statistics & numerical data
Humans
Life tables
Models, Statistical
Registries
Sweden
Time Factors
Waiting Lists
Abstract
To discover whether the period lifetable provides more valid estimates of length of wait in prospect than are obtained using the lengths either of (current) waits captured at the time of the mid-period census or of the (prior) waits of those extracted over a specified period. We determined whether there was a surplus (or a deficiency) of extractions within the cross-classification of cohort and waiting time category which straddled each census. We used census-, event- and lifetable-based methods to produce three period-specific estimates of the percentage of waits of 0-2 months, and we determined whether length of wait grew shorter (or longer) from one period to the next. We used Lambda B to indicate the extent to which we were able to predict the direction of change in length of wait once we knew the direction of change in size of list. We found a direct correlation between change in length of wait and change in size of list, as expected under the stock-flow model, when length of wait was estimated using the lifetable for the period (L(B) = 58.33, 95% confidence interval [CI] = 29-88), but we obtained a null correlation when we used census-based estimates (L(B) = 6.45) and we obtained an inverse correlation when we used event-based estimates (L(B) = 57.14, 95% CI = 31-83). The period lifetable appears to provide more valid estimates of length of wait and should therefore be substituted for census- and event-based methods of estimation, wherever possible.
PubMed ID
22673699 View in PubMed
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458 records – page 1 of 46.