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1.
Swiss Dent J ; 126(11): 1036-1052, 2016.
Artigo em Alemão, Francês | MEDLINE | ID: mdl-27874918

RESUMO

Dental aplasia of heterogenous etiology may cause jaw growth disturbance, malocclusion, esthetic discontent and psychosocial impairment. By a case report of a young patient suffering from hypodontia, class II malocclusion and a deep bite the intricate interdisciplinary diagnosis- and treatment-protocol targeting the functional and esthetic rehabilitation is illustrated.


Assuntos
Anodontia/reabilitação , Comunicação Interdisciplinar , Colaboração Intersetorial , Má Oclusão Classe II de Angle/reabilitação , Osteotomia Mandibular , Ortodontia Corretiva , Sobremordida/reabilitação , Adolescente , Anodontia/diagnóstico por imagem , Terapia Combinada , Feminino , Seguimentos , Humanos , Má Oclusão Classe II de Angle/diagnóstico por imagem , Radiografia Panorâmica
2.
Swiss Dent J ; 126(11): 1031-1046, 2016.
Artigo em Alemão, Inglês | MEDLINE | ID: mdl-27874919

RESUMO

In a case report the stomatognathic rehabilitation of a patient with class III malocclusion and mandibular bilateral interdental gaps from the diagnosis and treatment planning through to the stepwise realization of the orthodontic, surgical and prosthetic treatment is presented. Explicit information about the proposed treatment, risks and the prospective outcome beforehand ensured the patient’s compliance during the extensive procedure.


Assuntos
Anodontia/reabilitação , Implantes Dentários , Comunicação Interdisciplinar , Colaboração Intersetorial , Má Oclusão Classe III de Angle/reabilitação , Ortodontia Corretiva , Adulto , Anodontia/diagnóstico por imagem , Terapia Combinada , Cárie Dentária/diagnóstico por imagem , Cárie Dentária/reabilitação , Feminino , Humanos , Má Oclusão Classe III de Angle/diagnóstico por imagem , Mandíbula/diagnóstico por imagem , Maxila/diagnóstico por imagem , Radiografia Panorâmica , Extração Dentária
3.
Am J Public Health ; 105 Suppl 2: S330-6, 2015 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-25689205

RESUMO

OBJECTIVES: We examined geographic differences in Early Periodic Screening, Diagnosis, and Treatment (EPSDT) visits as the South Carolina Department of Health and Environmental Control (SCDHEC) transitioned from direct service provision (DSP) to assuring delivery within the larger health care system. METHODS: We examined infant cohorts with continuous Medicaid coverage and normal birth weights from 1995 to 2010. Outcome variables included any EPSDT visit and the ratio of observed to expected visits. Change in SCDHEC market share over time by residence was the primary variable of interest. We used growth curve models to examine changes in EPSDT visits by rural areas and levels of DSP over time. RESULTS: A small proportion of the study population (10%) resided in rural counties that were more dependent on SCDHEC for DSP. The trajectory of not having visits among counties with high DSPs was steeper in rural areas (0.208; P = .001) compared with urban areas (0.145; P = .002). In counties with high DSPs, the slope of the predicted ratio in rural areas (-0.033; P < .001) was steeper than that of urban areas (-0.013; P < .001). CONCLUSIONS: Health departments operations continue to transition from DSP, which might decrease access to well-child care in rural communities. Health care reform provides opportunities for health departments to work with community partners to facilitate DSP from public to private sectors.


Assuntos
Serviços de Saúde da Criança/organização & administração , Serviços de Saúde da Criança/estatística & dados numéricos , Administração em Saúde Pública/estatística & dados numéricos , Prática de Saúde Pública/estatística & dados numéricos , População Rural/estatística & dados numéricos , Acessibilidade aos Serviços de Saúde , Humanos , Lactente , Recém-Nascido , Programas de Rastreamento , Medicaid , Características de Residência , South Carolina , Estados Unidos
4.
J Rural Health ; 30(2): 186-95, 2014.
Artigo em Inglês | MEDLINE | ID: mdl-24689543

RESUMO

PURPOSE: To determine whether there is an association between clinical decision support system (CDSS) use and quality disparities in pneumonia process indicators between rural and urban hospitals. METHODS: Data were used from the FY 2009 American Hospital Association electronic health record (EHR) adoption survey (3,616 responding hospitals) to identify hospitals that used CDSS for clinical guidelines and reminders. This was linked to the 2009 Hospital Compare data set from the Centers for Medicare and Medicaid Services (3,805 reporting hospitals). The merged data set contained 2,405 hospitals: 1,330 were noncritical in metropolitan ZIP Code Tabulation Areas (ZCTAs), 692 were noncritical in rural ZCTAs, and there were 383 critical access hospitals (CAHs; 359 in rural ZCTAs, 24 in urban ZCTAs). The dependent variable was a pneumonia composite quality score, composed of 6 pneumonia process indicators calculated for each hospital. Adjusted analysis controlled for a hospital's propensity to use CDSS. FINDINGS: While quality was lower in rural institutions, unadjusted pneumonia quality scores varied modestly, from 90.08% in CAHs to 93.38% in urban hospitals. Hospitals that used CDSS had higher unadjusted pneumonia process composite scores than their non-CDSS counterparts. After controlling for CDSS use, the propensity for CDSS use, and hospital and community characteristics, hospitals in rural ZCTAs did not have significantly different process composite scores than their metropolitan counterparts. CONCLUSIONS: CDSS was positively associated with quality of care for pneumonia. Adoption of EHRs with CDSS functionality in rural hospitals may serve to reduce quality gaps. Costs of EHR implementation may be a barrier to this process.


Assuntos
Sistemas de Apoio a Decisões Clínicas , Pneumonia/terapia , Qualidade da Assistência à Saúde , Serviços de Saúde Rural , Serviços Urbanos de Saúde , Idoso , Infecções Comunitárias Adquiridas/terapia , Disparidades em Assistência à Saúde , Humanos , Estados Unidos
5.
J Rural Health ; 29(1): 30-8, 2013.
Artigo em Inglês | MEDLINE | ID: mdl-23289652

RESUMO

PURPOSE: To examine the differences in oral health status among residents of high-poverty counties, as compared to residents of other rural or urban counties, specifically on the prevalence of edentulism. METHODS: We used the 2005 Behavioral Risk Factor Surveillance System (BRFSS) and the 2006 Area Resource File (ARF). All analyses were conducted with SAS and SAS-callable SUDAAN, in order to account for weighting and the complex sample design. FINDINGS: Characteristics significantly related to edentulism include: geographic location, gender, race, age, health status, employment, insurance, not having a usual source of care, education, marital status, presence of chronic disease, having an English interview, not deferring care due to cost, income, and dentist saturation within the county. CONCLUSIONS: Significant associations between high-poverty rural and other rural counties and edentulism were found, and other socioeconomic and health status indicators remain strong predictors of edentulism.


Assuntos
Boca Edêntula/epidemiologia , Pobreza , População Rural/estatística & dados numéricos , Adolescente , Adulto , Idoso , Sistema de Vigilância de Fator de Risco Comportamental , Estudos Transversais , Feminino , Pesquisa sobre Serviços de Saúde , Humanos , Masculino , Pessoa de Meia-Idade , Saúde Bucal , Prevalência , Estados Unidos/epidemiologia , População Urbana/estatística & dados numéricos , Adulto Jovem
6.
South Med J ; 106(1): 74-81, 2013 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-23263318

RESUMO

OBJECTIVES: In the aftermath of an environmental public health disaster (EPHD) a healthcare system may be the least equipped entity to respond. Preventable visits for ambulatory care-sensitive conditions (ACSCs) may be used as a population-based indicator to monitor health system access postdisaster. The objective of this study was to examine whether ACSC rates among vulnerable subpopulations are sensitive to the impact of a disaster. METHODS: We conducted a retrospective analysis on the 2005 chlorine spill in Graniteville, South Carolina using a Medicaid claims database. Poisson regression was used to calculate change in monthly ACSC visits at the disaster site in the postdisaster period compared with the predisaster period after adjusting for parallel changes in a control group. RESULTS: The adjusted rate of a predisaster ACSC hospital visit for the direct group was 1.68 times the rate for the control group (95% confidence interval [CI] 1.47-1.93), whereas the adjusted ACSC hospital rate postdisaster for the direct group was 3.10 times the rate for the control group (95% CI 1.97-5.18). For ED ACSC visits, the adjusted rate among those directly affected predisaster were 1.82 times the rate for the control group (95% CI 1.61-2.08), whereas the adjusted ACSC rate postdisaster was 2.81 times the rate for the control group (95% CI 1.92-5.17). CONCLUSIONS: Results revealed that an increased demand on the health system altered health services delivery for vulnerable populations directly affected by a disaster. Preventable visits for ACSCs may advance public health practice by identifying healthcare disparities during disaster recovery.


Assuntos
Vazamento de Resíduos Químicos , Planejamento em Desastres , Acessibilidade aos Serviços de Saúde , Disparidades em Assistência à Saúde , Atenção Primária à Saúde/organização & administração , Populações Vulneráveis , Adolescente , Adulto , Estudos de Casos e Controles , Cloro , Desastres , Humanos , Medicaid/estatística & dados numéricos , Pessoa de Meia-Idade , North Carolina , Atenção Primária à Saúde/estatística & dados numéricos , Análise de Regressão , Estudos Retrospectivos , Estados Unidos
7.
Am J Public Health ; 102(12): e24-32, 2012 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-23078479

RESUMO

Disasters create a secondary surge in casualties because of the sudden increased need for long-term health care. Surging demands for medical care after a disaster place excess strain on an overtaxed health care system operating at maximum or reduced capacity. We have applied a health services use model to identify areas of vulnerability that perpetuate health disparities for at-risk populations seeking care after a disaster. We have proposed a framework to understand the role of the medical system in modifying the health impact of the secondary surge on vulnerable populations. Baseline assessment of existing needs and the anticipation of ballooning chronic health care needs following the acute response for at-risk populations are overlooked vulnerability gaps in national surge capacity plans.


Assuntos
Medicina de Desastres/organização & administração , Acessibilidade aos Serviços de Saúde/organização & administração , Atenção Primária à Saúde/organização & administração , Capacidade de Resposta ante Emergências/organização & administração , Necessidades e Demandas de Serviços de Saúde , Disparidades nos Níveis de Saúde , Disparidades em Assistência à Saúde , Humanos , Atenção Primária à Saúde/estatística & dados numéricos , Estados Unidos , Populações Vulneráveis
8.
Disaster Med Public Health Prep ; 4(1): 30-8, 2010 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-20389193

RESUMO

CONTEXT: A disaster is indiscriminate in whom it affects. Limited research has shown that the poor and medically underserved, especially in rural areas, bear an inequitable amount of the burden. OBJECTIVE: To review the literature on the combined effects of a disaster and living in an area with existing health or health care disparities on a community's health, access to health resources, and quality of life. METHODS: We performed a systematic literature review using the following search terms: disaster, health disparities, health care disparities, medically underserved, and rural. Our inclusion criteria were peer-reviewed, US studies that discussed the delayed or persistent health effects of disasters in medically underserved areas. RESULTS: There has been extensive research published on disasters, health disparities, health care disparities, and medically underserved populations individually, but not collectively. CONCLUSIONS: The current literature does not capture the strain of health and health care disparities before and after a disaster in medically underserved communities. Future disaster studies and policies should account for differences in health profiles and access to care before and after a disaster.


Assuntos
Desastres , Disparidades nos Níveis de Saúde , Disparidades em Assistência à Saúde , Área Carente de Assistência Médica , Serviços de Saúde Comunitária/organização & administração , Acessibilidade aos Serviços de Saúde/organização & administração , Humanos , Qualidade de Vida , Serviços de Saúde Rural/organização & administração , População Rural , Fatores Socioeconômicos , Estados Unidos
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