Factors Associated With Americans' Ratings of Health Care Quality: What Do They Tell Us About the Raters and the Health Care System?

2010 ◽  
Vol 15 (sup3) ◽  
pp. 147-156 ◽  
Author(s):  
Wen-Ying Sylvia Chou ◽  
Lin Chun Wang ◽  
Lila J. Finney Rutten ◽  
Richard P. Moser ◽  
Bradford W. Hesse
Author(s):  
Constantin Etco ◽  

One of the priorities of the health care system in Moldova is the medical services’ quality improvement. Th is article presents various defi nitions for health care quality and the principles connected with quality improvement. An important part in this article is allocated to the structure and main principles of total quality management in the health care system. Th is part reveals the problems of the commissions that are studying the quality of medical services in healthcare establishments.


2016 ◽  
Vol 22 (2) ◽  
pp. 201622
Author(s):  
Andriy Yavorskyy

Forming a patient-oriented health care system, patients’ participation in health care quality assessment has become the imperative of our time.The objective of the research was to analyze the impact of doctors’ and health care system credibility on satisfaction with health care.Materials and methods. Sociological survey of 530 patients was conducted. The patients completed their treatment in the surgical departments of inpatient facilities in Ivano-Frankivsk region. According to its results the patients were divided into two groups: satisfied (372 people) and not satisfied (158 people) with the level of health care services in the department and the hospital as a whole.Results of the research. Nearly 60% of the surveyed patients were determined not to trust their doctors and one third of respondents did not know their primary care physician. This significantly increased the chances of dissatisfaction with health care (OR= 4.11; 95% CI: 1.67–10.14, p<0.001 and OR=1.96; 95% CI: 1.33–2.90 respectively; p<0.001) and promoted inefficient use of the health care system resources as a result of unreasonable hospitalization (in 18.8% cases). Conclusions. Patients who do not trust doctors in general and do not know their general practitioner remain dissatisfied with inpatient care by 1.5-10 times more often.


2017 ◽  
Vol 24 (5) ◽  
pp. 927-932 ◽  
Author(s):  
Adam T Perzynski ◽  
Mary Joan Roach ◽  
Sarah Shick ◽  
Bill Callahan ◽  
Douglas Gunzler ◽  
...  

Abstract Background: Patient portals have shown potential for increasing health care quality and efficiency. Internet access and other factors influencing patient portal use could worsen health disparities. Methods: Observational study of adults with 1 or more visits to the outpatient clinics of an urban public health care system from 2012 to 2015. We used mixed effects logistic regression to evaluate the association between broadband internet access and (1) patient portal initiation (whether a patient logged in at least 1 time) and (2) messaging, controlling for demographic and neighborhood characteristics. Results: There were 243 248 adults with 1 or more visits during 2012–2015 and 70 835 (29.1%) initiated portal use. Portal initiation was 34.1% for whites, 23.4% for blacks, and 23.8% for Hispanics, and was lower for Medicaid (26.5%), Medicare (23.4%), and uninsured patients (17.4%) than commercially insured patients (39.3%). In multivariate analysis, both initiation of portal use (odds ratio [OR] = 1.24 per quintile, 95% confidence interval [CI], 1.23–1.24, P &lt; .0001) and sending messages to providers (OR = 1.15, 95%CI, 1.09–1.14, P &lt; .0001) were associated with neighborhood broadband internet access. Conclusions: The majority of adults with outpatient visits to a large urban health care system did not use the patient portal, and initiation of use was lower for racial and ethnic minorities, persons of lower socioeconomic status, and those without neighborhood broadband internet access. These results suggest the emergence of a digital divide in patient portal use. Given the scale of investment in patient portals and other internet-dependent health information technologies, efforts are urgently needed to address this growing inequality.


2016 ◽  
Vol 51 (6) ◽  
pp. 763-776 ◽  
Author(s):  
Heather Palis ◽  
Kirsten Marchand ◽  
Defen Peng ◽  
Jill Fikowski ◽  
Scott Harrison ◽  
...  

Medical Care ◽  
2015 ◽  
Vol 53 (4) ◽  
pp. 332-337 ◽  
Author(s):  
Julie A. Schmittdiel ◽  
Gregory A. Nichols ◽  
Wendy Dyer ◽  
John F. Steiner ◽  
Andrew J. Karter ◽  
...  

2020 ◽  
Author(s):  
Felipe Lobelo ◽  
Alan X Bienvenida ◽  
Serena Leung ◽  
Armand N Mbanya ◽  
Elizabeth J. Leslie ◽  
...  

Introduction: Racial and ethnic minorities have shouldered a disproportioned burden of coronavirus disease 2019 (COVID-19) infection to date in the US, but data on the various drivers of these disparities is limited. Objectives: To describe the characteristics and outcomes of COVID-19 patients and explore factors associated with hospitalization risk by race. Methods: Case series of 448 consecutive patients with confirmed COVID-19 seen at Kaiser Permanente Georgia (KPGA), an integrated health care system serving the Atlanta metropolitan area, from March 3 to May 12, 2020. KPGA members with laboratory-confirmed COVID-19. Multivariable analyses for hospitalization risk also included an additional 3489 persons under investigation (PUI) with suspected infection. COVID-19 treatment and outcomes, underlying comorbidities and quality of care management metrics, socio-demographic and other individual and community-level social determinants of health (SDOH) indicators. Results: Of 448 COVID-19 positive members, 68,3% was non-Hispanic Black (n=306), 18% non-Hispanic White (n=81) and 13,7% Other race (n=61). Median age was 54 [IQR 43-63) years. Overall, 224 patients were hospitalized, median age 60 (50-69) years. Black race was a significant factor in the Confirmed + PUI, female and male models (ORs from 1.98 to 2.19). Obesity was associated with higher hospitalization odds in the confirmed, confirmed + PUI, Black and male models (ORs from 1.78 to 2.77). Chronic disease control metrics (diabetes, hypertension, hyperlipidemia) were associated with lower odds of hospitalization ranging from 48% to 35% in the confirmed + PUI and Black models. Self-reported physical inactivity was associated with 50% higher hospitalization odds in the Black and Female models. Residence in the Northeast region of Atlanta was associated with lower hospitalization odds in the Confirmed + PUI, White and female models (ORs from 0.22 to 0.64) Conclusions: We found that non-Hispanic Black KPGA members had a disproportionately higher risk of infection and, after adjusting for covariates, twice the risk of hospitalization compared to other race groups. We found no significant differences in clinical outcomes or mortality across race/ethnicity groups. In addition to age, sex and comorbidity burden, pre-pandemic self-reported exercise, metrics on quality of care and control of underlying cardio-metabolic diseases, and location of residence in Atlanta were significantly associated with hospitalization risk by race groups. Beyond well-known physiologic and clinical factors, individual and community-level social indicators and health behaviors must be considered as interventions designed to reduce COVID-19 disparities and the systemic effects of racism are implemented.


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