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1.
J Rural Health ; 35(2): 144-154, 2019 03.
Artigo em Inglês | MEDLINE | ID: mdl-30830983

RESUMO

BACKGROUND: This statewide survey sought to understand the adoption level of new health information and medical technologies, and whether these patterns differed between urban and rural populations. METHODS: A random sample of 7,979 people aged 18-75 years, stratified by rural status and race, who lived in 1 of 34 Indiana counties with high cancer mortality rates and were seen at least once in the past year in a statewide health system were surveyed. RESULTS: Completed surveys were returned by 970 participants. Rural patients were less likely than urban to use electronic health record messaging systems (28.3% vs 34.5%, P = .045) or any communication technology (43.0% vs 50.8%, P = .017). Rural patients were less likely to look for personal health information for someone else's medical record (11.0% vs 16.3%, P = .022), look-up test results (29.5% vs 38.3%, P = .005), or use any form of electronic medical record (EMR) access (57.5% vs 67.1%, P = .003). Rural differences in any use of communication technology or EMRs were no longer significant in adjusted models, while education and income were significantly associated. There was a trend in the higher use of low-dose computed tomography (CT) scan among rural patients (19.1% vs 14.4%, P = .057). No significant difference was present between rural and urban patients in the use of the human papilloma virus test (27.1% vs 26.6%, P = .880). CONCLUSIONS: Differences in health information technology use between rural and urban populations may be moderated by social determinants. Lower adoption of new health information technologies (HITs) than medical technologies among rural, compared to urban, individuals may be due to lower levels of evidence supporting HITs.


Assuntos
Invenções/tendências , Informática Médica/instrumentação , População Rural/tendências , População Urbana/tendências , Adulto , Idoso , Feminino , Comportamento de Busca de Ajuda , Humanos , Masculino , Informática Médica/métodos , Informática Médica/tendências , Pessoa de Meia-Idade , Inquéritos e Questionários
2.
Cancer Epidemiol Biomarkers Prev ; 28(3): 462-470, 2019 03.
Artigo em Inglês | MEDLINE | ID: mdl-30487135

RESUMO

BACKGROUND: This statewide survey examined differences in cancer-related knowledge, beliefs, and behaviors between racial and socioeconomic groups in select counties in Indiana. METHODS: A stratified random sample of 7,979 people aged 18-75 who lived in one of 34 Indiana counties with higher cancer mortality rates than the state average, and were seen at least once in the past year in a statewide health system were mailed surveys. RESULTS: Completed surveys were returned by 970 participants, yielding a 12% response rate. Black respondents were less likely to perceive they were at risk for cancer and less worried about getting cancer. Individuals most likely to perceive that they were unlikely to get cancer were more often black, with low incomes (less than $20,000) or high incomes ($50,000 or more), or less than a high school degree. Black women were greater than six times more likely to be adherent to cervical cancer screening. Higher income was associated with receiving a sigmoidoscopy in the last 5 years and a lung scan in the past year. Those with the highest incomes were more likely to engage in physical activity. Both income and education were inversely related to smoking. CONCLUSIONS: Socioeconomic and racial disparities were observed in health behaviors and receipt of cancer screening. Black individuals had less worry about cancer. IMPACT: Understanding populations for whom cancer disparities exist and geographic areas where the cancer burden is disproportionately high is essential to decision-making about research priorities and the use of public health resources.


Assuntos
Detecção Precoce de Câncer/estatística & dados numéricos , Etnicidade/estatística & dados numéricos , Comportamentos Relacionados com a Saúde , Conhecimentos, Atitudes e Prática em Saúde , Disparidades em Assistência à Saúde/etnologia , Neoplasias/diagnóstico , Fatores Socioeconômicos , Adolescente , Adulto , Idoso , Cultura , Detecção Precoce de Câncer/psicologia , Etnicidade/psicologia , Feminino , Seguimentos , Disparidades em Assistência à Saúde/estatística & dados numéricos , Humanos , Indiana/epidemiologia , Masculino , Pessoa de Meia-Idade , Neoplasias/epidemiologia , Neoplasias/psicologia , Prognóstico , Fatores de Risco , Adulto Jovem
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