Dataset Information

Effect of Patient-Physician Relationship on Withholding Information Behavior: Analysis of Health Information National Trends Survey (2011-2018) Data.

ABSTRACT: BACKGROUND:Patients' withholding information from doctors can undermine medical treatment, create barriers for appropriate diagnoses, and increase systemic cost in health care systems. To date, there is limited literature detailing the association between trends of patients withholding information behavior (WIB) and the patient-physician relationship (PPR). OBJECTIVE:The aim of this study was to explore the prevalence trend of WIB after 2011 and examine the effects of PPR on WIB and its time trend. METHODS:A total of 5 iterations of data from the Health Information National Trends Survey (years: 2011-2018; n=11,954) were used to explore curvilinear trends of WIB among the US population. Multiple logistic regression models were used to examine curvilinear time trends of WIB, effects of PPR on WIB, and moderation effects of PPR on the WIB time trend. RESULTS:The WIB prevalence has an increasing trend before 2014, which has the highest rate of 13.57%, and then it decreases after 2014 to 8.65%. The trend of WIB is curvilinear as the quadratic term in logistic regression model was statistically significant (P=.04; beta=-.022; SE=0.011; odds ratio [OR] 0.978, 95% CI 0.957-0.999). PPR is reversely associated with WIB (P<.001; beta=-.462; SE=0.097; OR 0.630, 95% CI 0.518-0.766) and has a significant moderation effect on time trends (P=.02; beta=-.06; SE=0.025; OR 0.941, 95% CI 0.896-0.989). In general, poor quality of PPR not only significantly increased the WIB probability but also postponed the change of point for WIB curvilinear trend. CONCLUSIONS:Findings suggest that the time trend of WIB between 2011 and 2018 is curvilinear and moderated by the quality of the PPR. Given these results, providers may reduce WIB by improving PPR. More research is needed to confirm these findings.

SUBMITTER: Yang X

PROVIDER: S-EPMC7016621 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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Effect of Patient-Physician Relationship on Withholding Information Behavior: Analysis of Health Information National Trends Survey (2011-2018) Data.

Yang Xin X Parton Jason J Lewis Dwight D Yang Ning N Hudnall Matthew M

Journal of medical Internet research 20200129 1

<h4>Background</h4>Patients' withholding information from doctors can undermine medical treatment, create barriers for appropriate diagnoses, and increase systemic cost in health care systems. To date, there is limited literature detailing the association between trends of patients withholding information behavior (WIB) and the patient-physician relationship (PPR).<h4>Objective</h4>The aim of this study was to explore the prevalence trend of WIB after 2011 and examine the effects of PPR on WIB a ...[more]

PMID: 32012083

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Project description:BackgroundPatient portals have drawn much attention, as they are considered an important tool for health providers in facilitating patient engagement. However, little is known about whether the intensive use of patient portals contributes to improved management of patients' health in terms of their confidence in acquiring health information and exercising self-care. There is a lack of randomized trials with these outcomes measured both pre- and postadoption of patient portals.ObjectiveThe aim of this study was to examine the causal relationship between the usage of patient portals and patients' self-efficacy toward obtaining health information and performing self-care.MethodsThis study was a secondary data analysis that used data from a US national survey, the National Cancer Institute's Health Information National Trends Survey 5 Cycle 1. Patient portal usage frequency was used to define the treatment. Survey items measuring self-efficacy on a Likert-type scale were selected as the main outcomes, including patients' confidence in obtaining health information and performing self-care. To establish causality using survey data, we adopted the instrumental variables method. To determine the direction of the causal relationship in the presence of high-dimensional confounders, we further proposed a novel testing framework that employs conditional independence tests in a directed acyclic graph. The average causal effect was measured using the two-stage least squares regression method.ResultsWe showed that frequently using patient portals improves patients' confidence in obtaining health information. The estimand of the weighted average causal effect was 0.14 (95% CI 0.06-0.23; P<.001). This means that when increasing the portal usage intensity, for instance, from 1-2 times to 3-5 times per year, the expected average increase in confidence level measured on a Likert-type scale would be 0.14. However, we could not conclusively determine the causal effect between patient portal usage and patients' confidence in exercising self-care.ConclusionsThe results support the use of patient portals and encourage better support and education to patients. The proposed statistical method can be used to exploit the potential of national survey data for causal inference studies.

Project description:BackgroundEmerging health technologies are increasingly being used in health care for communication, data collection, patient monitoring, education, and facilitating adherence to chronic disease management. However, there is a lack of studies on differences in the preference for using information exchange technologies between patients with chronic and nonchronic diseases and factors affecting these differences.ObjectiveThe purpose of this paper is to understand the preferences and use of information technology for information exchange among a nationally representative sample of adults with and without 3 chronic disease conditions (ie, cardiovascular disease [CVD], diabetes, and hypertension) and to assess whether these preferences differ according to varying demographic variables.MethodsWe utilized data from the 2012 and 2014 iteration of the Health Information National Trends Survey (N=7307). We used multiple logistic regressions, adjusting for relevant demographic covariates, to identify the independent factors associated with lower odds of using health information technology (HIT), thus, identifying targets for awareness. Analyses were weighted for the US population and adjusted for the sociodemographic variables of age, gender, race, and US census region.ResultsOf 7307 participants, 3529 reported CVD, diabetes, or hypertension. In the unadjusted models, individuals with diabetes, CVD, or hypertension were more likely to report using email to exchange medical information with their provider and less likely to not use any of the technology in health information exchange, as well as more likely to say it was not important for them to access personal medical information electronically. In the unadjusted model, additional significant odds ratio (OR) values were observed. However, after adjustment, most relationships regarding the use and interest in exchanging information with the provider were no longer significant. In the adjusted model, individuals with CVD, diabetes, or hypertension were more likely to access Web-based personal health information through a website or app. Furthermore, we assessed adjusted ORs for demographic variables. Those aged >65 years and Hispanic people were more likely to report no use of email to exchange medical information with their provider. Minorities (Hispanic, non-Hispanic black, and Asian people) were less likely to indicate they had no interest in exchanging general health tips with a provider electronically.ConclusionsThe analysis did not show any significant association among those with comorbidities and their proclivity toward health information, possibly implying that HIT-related interventions, particularly design of information technologies, should focus more on demographic factors, including race, age, and region, than on comorbidities or chronic disease status to increase the likelihood of use. Future research is needed to understand and explore more patient-friendly use and design of information technologies, which can be utilized by diverse age, race, and education or health literacy groups efficiently to further bridge the patient-provider communication gap.

Project description:BackgroundHealth information is crucial for preservation of health and maintenance of healthy practices among cancer survivors. This study examines the sources and factors associated with choice of health information source among cancer survivors and those without a cancer history.MethodsWe examined health information sources utilized by cancer history between 2011-2014 and 2017-2018 using the Health Information National Trends Survey (HINTS). Factors associated with seeking health information were examined using multinomial logistic regression. Data from HINTS 4, cycles 1-4 (2011-2014) and HINTS 5, cycles 1-2 (2017-2018) were combined and used for all analyses. HINTS-FDA, cycles 1-2 (2015-2017) were excluded from this study because the question about a cancer history was not asked.ResultsOver half of cancer survivors (52.7%) and those without a cancer history (60.9%) obtained their health information through the media. Among cancer survivors, factors associated with health information seeking either through the media or interpersonal communication relative to not seeking information were age, gender, level of education, income, marital status and having a regular healthcare provider. Male survivors were 39% less likely to seek health information from the media (aOR: 0.61; 95% CI: 0.38-0.99) while those with a regular health provider had significantly higher odds of seeking health information via interpersonal communication (aOR: 1.92; 95% CI: 1.09-3.38). In addition, widowed cancer survivors had lower odds of seeking health information from either interpersonal communication (aOR: 0.28; 95% CI: 0.13-0.60) or the media (aOR: 0.30; 95% CI: 0.13-0.69). In the study population without a cancer history, compared to non-Hispanic whites, non-Hispanic blacks, Hispanics and non-Hispanic other categories were significantly less likely to seek health information from the media rather than not seek health information.ConclusionSocioeconomic status, marital status, gender and age are important correlates of choice of health information source among cancer survivors in the US. These factors may be useful in guiding interventions aimed at various groups of cancer surviving populations to ensure that they improve their health seeking behaviors.

Project description:BACKGROUND:Family planning counseling is critical for women to make informed reproductive and sexual health decisions. Despite Ethiopia's success in expanding access to family planning services, information on the quality of family planning counseling is limited. The objectives of this study were to assess whether the quality of counseling from the female client´s perspective has changed over time (2014 to 2018) and to investigate determinants associated with the quality of counseling to provide a more nuanced understanding of disparities in sexual and reproductive health outcomes in Ethiopia. METHODS:Data were obtained from five rounds of the Ethiopian Performance Monitoring and Accountability 2020 female survey questionnaire. Quality of counseling was categorized into four levels based on the responses of the questions that compose the Method Information Index, a core Family Planning 2020 indicator that serves as a proxy for quality of counseling and reflects the extent to which women are informed about side effects and alternate methods. The proportion of female contraceptive users that received good counseling were examined over time by each region, demographic characteristics, and contraception method type and source. Ordinal logistic regression was applied to the last survey round (2018) to investigate determinants associated with counseling quality. RESULTS:The proportion of female contraception users that reported receiving information on all three questions did not significantly change over the period 2014 to 2018. Overall quality of counseling on family planning was low, with only 30% of women reporting receiving sufficient information during counseling. The likelihood of good quality counseling was the least among those who had no formal schooling when compared to those who had higher educational attainment (OR = 0.70, 95% CI: 0.50, 0.97). Women from the wealthiest quintile were 1.72 times more likely (95% CI: 1.10, 2.69) to receive good quality counseling when compared to women in the lower wealth quintile. Women from rural areas were 1.51 times more likely to have received good counseling when compared to those in urban areas (95% CI: 1.04, 2.18). Amhara residents were less likely to receive good counseling when compared to the SNNPR (OR: 0.51, 95% CI: 0.32, 0.81). Women who acquired their method from the private sector had worse counseling (OR: 0.31, 95% CI: 0.23, 0.41) when compared to the public sector. Those using short-acting methods were more at risk of receiving lesser quality counseling when compared to users of long-acting methods (OR: 0.58, 95% CI: 0.46, 0.72). CONCLUSION:The results of this analysis indicated that Ethiopia's overall progress in modern contraceptive use has not been accompanied by a corresponding increase in the quality of family planning counseling. Improving the quality of contraception counseling for women across all demographics, including wealth quintiles and education, is a crucial strategy to support positive reproductive health outcomes with a rights-based focus. Based on the findings of this study, it is essential to emphasize the need to do proper counseling for all methods including short-acting methods especially for those working the private sector and some of the regions which have lower prevalence of good counseling. Further community-based participatory and qualitative research should focus on understanding the root causes and barriers to the delivery of high-quality counseling in Ethiopia.

Project description:The Health Information National Trends Survey (HINTS) collects nationally representative data about the American's public use of health-related information. This survey is available in English and Spanish, but not in American Sign Language (ASL). Thus, the exclusion of ASL users from these national health information survey studies has led to a significant gap in knowledge of Internet usage for health information access in this underserved and understudied population.The objectives of this study are (1) to culturally adapt and linguistically translate the HINTS items to ASL (HINTS-ASL); and (2) to gather information about deaf people's health information seeking behaviors across technology-mediated platforms.We modified the standard procedures developed at the US National Center for Health Statistics Cognitive Survey Laboratory to culturally adapt and translate HINTS items to ASL. Cognitive interviews were conducted to assess clarity and delivery of these HINTS-ASL items. Final ASL video items were uploaded to a protected online survey website. The HINTS-ASL online survey has been administered to over 1350 deaf adults (ages 18 to 90 and up) who use ASL. Data collection is ongoing and includes deaf adult signers across the United States.Some items from HINTS item bank required cultural adaptation for use with deaf people who use accessible services or technology. A separate item bank for deaf-related experiences was created, reflecting deaf-specific technology such as sharing health-related ASL videos through social network sites and using video remote interpreting services in health settings. After data collection is complete, we will conduct a series of analyses on deaf people's health information seeking behaviors across technology-mediated platforms.HINTS-ASL is an accessible health information national trends survey, which includes a culturally appropriate set of items that are relevant to the experiences of deaf people who use ASL. The final HINTS-ASL product will be available for public use upon completion of this study.

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Effect of Patient-Physician Relationship on Withholding Information Behavior: Analysis of Health Information National Trends Survey (2011-2018) Data.

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Effect of Patient-Physician Relationship on Withholding Information Behavior: Analysis of Health Information National Trends Survey (2011-2018) Data.

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