Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 3 de 3
Filtrar
Mais filtros

Base de dados
País/Região como assunto
Ano de publicação
Tipo de documento
Intervalo de ano de publicação
1.
Health Promot J Austr ; 31(3): 343-353, 2020 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-31353682

RESUMO

BACKGROUND: Australia has recently introduced a new screening program for cervical cancer. There has also been a decline in participation rates for cervical screening. AIM: To complete a systematic literature review of the factors that prevent Australian women from participating in cervical screening. METHODS: Authors searched CINAHL, Medline, SCOPUS and the Cochrane Library to obtain articles discussing Australian women's self-identified barriers to cervical screening. Quantitative studies published in peer-reviewed journals after 1991 were considered. PROSPERO Registration Number: CRD42018105028. RESULTS: The final search produced 1749 studies, with 13 quantitative papers included in the narrative synthesis after screening by two independent reviewers. No articles were excluded due to bias. DISCUSSION: Self-identified barriers to screening were categorised into personal, practitioner, test-related and logistical factors. The most commonly stated barriers included lack of time, embarrassment, fear of results, irrelevance and male health professionals. The use of HPV triage in cervical screening was not a barrier to screening, however, some women regarded self-collected HPV testing as a barrier. Barriers to self-collection included desire for the general practitioner to complete the test, fear of doing the test incorrectly, wishing to include it in a general check-up and concerns about the test itself. CONCLUSION: A variety of personal, practitioner, test-related and logistical barriers negatively impact the screening participation of Australian women. Further research into barriers in the Australian population, and women's attitudes towards HPV testing and self-collection is required to create effective health interventions to improve participation in cervical screening.


Assuntos
Infecções por Papillomavirus , Neoplasias do Colo do Útero , Austrália , Detecção Precoce de Câncer , Feminino , Humanos , Masculino , Programas de Rastreamento , Neoplasias do Colo do Útero/diagnóstico , Esfregaço Vaginal
2.
JSES Int ; 5(2): 198-204, 2021 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-33681838

RESUMO

HYPOTHESIS: This study aimed to examine whether three-dimensionally printed models (3D models) could improve interobserver and intraobserver agreement when classifying proximal humeral fractures (PHFs) using the Neer system. We hypothesized that 3D models would improve interobserver and intraobserver agreement compared with x-ray, two-dimensional (2D) and three-dimensional (3D) computed tomography (CT) and that agreement using 3D models would be higher for registrars than for consultants. METHODS: Thirty consecutive PHF images were selected from a state-wide database and classified by fourteen observers. Each imaging modality (x-ray, 2D CT, 3D CT, 3D models) was grouped and presented in a randomly allocated sequence on two separate occasions. Interobserver and intraobserver agreements were quantified with kappa values (κ), percentage agreement, and 95% confidence intervals (CIs). RESULTS: Seven orthopedic registrars and seven orthopedic consultants classified 30 fractures on one occasion (interobserver). Four registrars and three consultants additionally completed classification on a second occasion (intraobserver). Interobserver agreement was greater with 3D models than with x-ray (κ = 0.47, CI: 0.44-0.50, 66.5%, CI: 64.6-68.4% and κ = 0.29, CI: 0.26-0.31, 57.2%, CI: 55.1-59.3%, respectively), 2D CT (κ = 0.30, CI: 0.27-0.33, 57.8%, CI: 55.5-60.2%), and 3D CT (κ = 0.35, CI: 0.33-0.38, 58.8%, CI: 56.7-60.9%). Intraobserver agreement appeared higher for 3D models than for other modalities; however, results were not significant. There were no differences in interobserver or intraobserver agreement between registrars and consultants. CONCLUSION: Three-dimensionally printed models improved interobserver agreement in the classification of PHFs using the Neer system. This has potential implications for using 3D models for surgical planning and teaching.

3.
J Clin Orthop Trauma ; 11(Suppl 1): S16-S24, 2020 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-31992911

RESUMO

Proximal humeral fracture classification has low reproducibility. Many studies have tried to increase inter- and intra-observer agreement with more sophisticated imaging. The aim of this review was to determine which imaging modality produces the best inter- and intra-observer agreement for proximal humeral fracture classification in adults and to determine if this varies with observer experience or fracture complexity. OvidMEDLINE, The Cochrane Library, EBSCO CINAHL and Elsevier Scopus were searched on July 22nd, 2018. Quantitative studies comparing at least two imaging modalities for inter- or intra-observer agreement of proximal humeral fracture classification in adults were eligible for inclusion in this systematic literature review. Two reviewers independently screened and extracted data. Study quality was appraised using a modified Downs and Black checklist. The search strategy identified 1987 studies, of which 15 met the eligibility criteria. All included studies addressed inter-observer agreement and 8 provided results for intra-observer agreement. A narrative synthesis was performed. Trends were compared between studies as clinical heterogeneity and the statistical measures used by included studies prevented meta-analysis. Inter- and intra-observer agreement was found to increase from radiographs (x-ray) to two-dimensional (2D) computed tomography (CT) to three-dimensional (3D) CT. 2D and 3D CT may improve inter-observer agreement to a greater extent in less experienced observers and in more complex fractures. Future studies should compare 2D and 3D CT with subgroups categorising surgeon experience and fracture complexity. X-ray should be used for initial assessment; however doctors should have a low threshold for ordering CT. PROSPERO number: CRD42018094307.

SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA