Socioeconomic Status, Statistical Confidence, and Patient–Provider Communication: An Analysis of the Health Information National Trends Survey (HINTS 2007)

2010 ◽  
Vol 15 (sup3) ◽  
pp. 169-185 ◽  
Author(s):  
Samuel G. Smith ◽  
Michael S. Wolf ◽  
Christian von Wagner
Keyword(s):  
Socioeconomic Status ◽  
Health Information ◽  
Provider Communication ◽  
Statistical Confidence ◽  
Patient Provider Communication ◽  
National Trends

scholarly journals Growth Dynamics of Patient-Provider Internet Communication: Trend Analysis Using the Health Information National Trends Survey (2003 to 2013) (Preprint)

2017 ◽  
Author(s):  
Will L Tarver ◽  
Terri Menser ◽  
Bradford W Hesse ◽  
Tyler J Johnson ◽  
Ellen Beckjord ◽  
...  
Keyword(s):  
Health Care ◽  
Health Information ◽  
Health Care Providers ◽  
Provider Communication ◽  
Care Providers ◽  
Internet Users ◽  
Patient Provider Communication ◽  
Trends Over Time ◽  
National Trends ◽  
Over Time

BACKGROUND Communication is key in chronic disease management, and the internet has altered the manner in which patients and providers can exchange information. Adoption of secure messaging differs among patients due to the digital divide that keeps some populations from having effective access to online resources. OBJECTIVE This study aimed to examine the current state of online patient-provider communication, exploring trends over time in the use of online patient-provider communication tools. METHODS A 3-part analytic process was used to study the following: (1) reanalysis, (2) close replication across years, and (3) trend analysis extension. During the reanalysis stage, the publicly available Health Information National Trends Survey (HINTS) 1 and 2 data were used with the goal of identifying the precise analytic methodology used in a prior study, published in 2007. The original analysis was extended to add 3 additional data years (ie, 2008, 2011, and 2013) using the original analytical approach with the purpose of identifying trends over time. Multivariate logistic regression was used to analyze pooled data across all years, with year as an added predictor, in addition to a model for each individual data year. RESULTS The odds of internet users to communicate online with health care providers was significantly and increasingly higher year-over-year, starting in 2003 (2005: odds ratio [OR] 1.31, 95% CI 1.03-1.68; 2008: OR 2.14, 95% CI 1.76-2.59; 2011: OR 2.92, 95% CI 2.33-3.66; and 2013: OR 5.77; 95% CI 4.62-7.20). Statistically significant socio-economic factors found to be associated with internet users communicating online with providers included age, having health insurance, having a history of cancer, and living in an urban area of residence. CONCLUSIONS The proportion of internet users communicating online with their health care providers has significantly increased since 2003. Although these trends are encouraging, access challenges still exist for some groups, potentially giving rise to a new set of health disparities related to communication.

Quality and Content of Patient–Provider Communication About Contraception: Differences by Race/Ethnicity and Socioeconomic Status

2017 ◽  
Vol 27 (5) ◽  
pp. 530-538 ◽  
Author(s):  
Christine Dehlendorf ◽  
Nora Anderson ◽  
Eric Vittinghoff ◽  
Kevin Grumbach ◽  
Kira Levy ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Provider Communication ◽  
Patient Provider Communication ◽  
Race Ethnicity

scholarly journals Intersections between patient-provider communication and antenatal anxiety in a public healthcare setting in Pakistan

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0244671
Author(s):  
Asiya K. Kazi ◽  
Armaan A. Rowther ◽  
Najia Atif ◽  
Huma Nazir ◽  
Maria Atiq ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Antenatal Care ◽  
Pregnant Women ◽  
Low Socioeconomic Status ◽  
Public Hospitals ◽  
Public Healthcare ◽  
Provider Communication ◽  
Low Socioeconomic ◽  
Patient Provider Communication ◽  
Antenatal Anxiety

This study explores pregnant women’s and healthcare providers’ perspectives on the role of patient-provider communication in experiences of antenatal anxiety within a low-resource setting. In 2017–18, we consecutively sampled pregnant women (n = 19) with at least mild anxiety and purposively sampled antenatal care providers (n = 10) from a public hospital in Punjab Province, Pakistan. We then conducted in-depth interviews and thematically coded them with a combination of inductive and deductive coding methodologies. We found that patients expressed a desire for warm, empathetic communication from providers who demonstrate respect, attentiveness, and a shared lived experience. Providers revealed an awareness that their heavy caseloads, high stress levels, and discourteous tones adversely influenced communication with pregnant women and may exacerbate their anxieties, but also reported that compassionately addressing women’s concerns, providing financial problem-solving and/or assistance, and moderating conflicting healthcare desires between patients and their families could alleviate anxiety in pregnant women. Patients reported feelings of anxiety stemming from a belief that they received lower quality communication from antenatal providers at public hospitals than patients received from antenatal providers at private hospitals, an experience that they partially attributed to their low socioeconomic status. Meanwhile, some providers disclosed potentially stigmatizing views of women from particular sociocultural backgrounds or low socioeconomic status, including perceptions that appeared to shape communication with these patients in antenatal care encounters. Our findings provide preliminary evidence that communication between pregnant women and antenatal providers that is warm, normalizes patient fears, and integrates patients’ interpersonal and financial considerations can mitigate pregnant women’s experiences of anxiety and reduce barriers to accessing antenatal care in Pakistan’s public healthcare facilities.

scholarly journals eHealth patient-provider communication in the United States: interest, inequalities, and predictors

2016 ◽  
Vol 24 (e1) ◽  
pp. e18-e27 ◽  
Author(s):  
Kiara K Spooner ◽  
Jason L Salemi ◽  
Hamisu M Salihu ◽  
Roger J Zoorob
Keyword(s):  
United States ◽  
Health Care ◽  
Health Information ◽  
The United States ◽  
Personal Health Information ◽  
Provider Communication ◽  
Care Providers ◽  
Objective Health ◽  
Internet Users ◽  
Patient Provider Communication

Objective: Health-related Internet use and eHealth technologies, including online patient-provider communication (PPC), are continually being integrated into health care environments. This study aimed to describe sociodemographic and health- and Internet-related correlates that influence adult patients’ interest in and electronic exchange of medical information with health care providers in the United States. Methods: Nationally representative cross-sectional data from the 2014 Health Information National Trends Survey (N = 3677) were analyzed. Descriptive statistics and multivariable regression analyses were performed to examine associations between patient-level characteristics and online PPC behavior and interests. Results: Most respondents were Internet users (82.8%), and 61.5% of information seekers designated the Internet as their first source for health information. Younger respondents (<50 years), Hispanics, those from higher-income households, and those perceiving access to personal health information as important were more likely to be interested in online PPC. Despite varying levels of patient interest, 68.5% had no online PPC in the last year. However, Internet users (odds ratio, OR = 2.87, 95% CI, 1.35-6.08), college graduates (OR = 2.92, 95% CI, 1.42-5.99), and those with frequent provider visits (OR = 1.94, 95% CI, 1.02-3.71) had a higher likelihood of online PPC via email or fax, while Hispanics and those from higher-income households were 2–3 times more likely to communicate via text messaging or phone/mobile apps. Conclusion: Patients’ interest in and display of online PPC-related behaviors vary by age, race/ethnicity, education, income, Internet access/behaviors, and information type. These findings can inform efforts aimed at improving the use and adoption of eHealth technologies, which may contribute to a reduction in communication inequalities and health care disparities.

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