scholarly journals Electronic Health Behaviors Among US Adults With Chronic Disease: Cross-Sectional Survey

10.2196/11240 ◽  
2019 ◽  
Vol 21 (3) ◽  
pp. e11240 ◽  
Author(s):  
Lillian Madrigal ◽  
Cam Escoffery
2017 ◽  
Author(s):  
Francisco Lupiáñez-Villanueva ◽  
Dimitra Anastasiadou ◽  
Cristiano Codagnone ◽  
Roberto Nuño-Solinís ◽  
Maria Begona Garcia-Zapirain Soto

BACKGROUND Multimorbidity is becoming increasingly common and is a leading challenge currently faced by societies with aging populations. The presence of multimorbidity requires patients to coordinate, understand, and use the information obtained from different health care professionals, while simultaneously striving to distinguish the symptoms of different diseases and self-manage their sometimes conflicting health problems. Electronic health (eHealth) tools provide a means to disseminate health information and education for both patients and health professionals and hold promise for more efficient and cost-effective care processes. OBJECTIVE The aim of this study was to analyze the use of eHealth tools, taking into account the citizens’ sociodemographic and clinical characteristics, and above all, the presence of multimorbidity. METHODS Cross-sectional and exploratory research was conducted using online survey data from July 2011 to August 2011. Participants included a total of 14,000 citizens from 14 European countries aged 16 to 74 years, who had used an eHealth tool in the past 3 months. The variables studied were sociodemographic variables of the participants, the questionnaire items assessing the frequency of using eHealth tools, the degree of morbidity, and the eHealth adoption gradient. Chi-square tests were conducted to examine the relationship between the sociodemographic and clinical variables of participants and the group the participants were assigned to according to their frequency of eHealth use (eHealth user group). A one-way analysis of variance (ANOVA) allowed for assessing the differences in the eHealth adoption gradient average between different groups of individuals according to their morbidity level. A two-way between-groups ANOVA was performed to explore the effects of multimorbidity and age group on the eHealth adoption gradient. RESULTS According to the eHealth adoption gradient, most participants (68.15%, 9541/14,000) were labeled as rare users, with the majority of them (55.1%, 508/921) being in the age range of 25 to 54 years, with upper secondary education (50.3%, 464/921), currently employed (49.3%, 454/921), and living in medium-sized cities (40.7%, 375/921). Results of the one-way ANOVA showed that the number of health problems significantly affected the use of eHealth tools (F2,13996=11.584; P<.001). The two-way ANOVA demonstrated that there was a statistically significant interaction between the effects of age and number of health problems on the eHealth adoption gradient (F4,11991=7.936; P<.001). CONCLUSIONS The eHealth adoption gradient has proven to be a reliable way to measure different aspects of eHealth use. Multimorbidity is associated with a more intense use of eHealth, with younger Internet users using new technologies for health purposes more frequently than older groups with the same level of morbidity. These findings suggest the need to consider different strategies aimed at making eHealth tools more sensitive to the characteristics of older populations to reduce digital disadvantages.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Manuela Filipec ◽  
Gordana Brumini

Abstract Background Electronic health record can facilitate everyday clinical practice of physiotherapists. The aim of this study is to determine attitude of physiotherapists towards implementation of information technology in their work and the differences in attitude in relation to gender, age, level of education and type of health institutions. Methods This study is a cross-sectional survey of Croatian physiotherapists. The questionnaire ″Attitude of physiotherapists towards implementation of electronic health record included 12 items scored on a Likert-type scale from 1 to 5 and presented the award values as “Disagree”, “Neither agree nor disagree” and “Agree”. Croatian physiotherapists were (n = 267) recruited from 13 health care institutions. For analysis chi square test, t-test, one-way analysis of variance and as a post-hoc Tukey test were used. Results Explanatory factorial analysis confirmed two factors: Satisfaction in the work of physiotherapists using computers (SAT) and Necessity of computers in the work of physiotherapists (NEC). Most physiotherapists agree on (SAT) (47.9%) and on (NEC) (51.3%). Male physiotherapists were significantly more likely to disagree with statements related to SAT (p < 0.001) and NEC (p = 0.035) than female physiotherapists. Physiotherapists aged between 46 and 55 years were significantly more like to disagree on NEC in comparison to all the other groups of participants (p < 0.001). Physiotherapists with secondary school degree were significantly more like to disagree on NEC as compared with participants with bachelor’s degree (p = 0.009), as well as in comparison with physiotherapists with a university degree (p = 0.002). Most of the physiotherapists who are employed in Clinical hospitals and in the Speciality hospital agree with that statement (all p > 0.05). Conclusion The attitude of Croatian physiotherapists towards electronic health record differs according to the age, gender, level of education and type of health care institutions. This finding can facilitate implementation of electronic health record in physiotherapy. Trial registration Not applicable.


Author(s):  
T. R. Hird ◽  
E. H. Young ◽  
F. J. Pirie ◽  
J. Riha ◽  
T. M. Esterhuizen ◽  
...  

The Durban Diabetes Study (DDS) is a population-based cross-sectional survey of an urban black population in the eThekwini Municipality (city of Durban) in South Africa. The survey combines health, lifestyle and socioeconomic questionnaire data with standardised biophysical measurements, biomarkers for non-communicable and infectious diseases, and genetic data. Data collection for the study is currently underway and the target sample size is 10 000 participants. The DDS has an established infrastructure for survey fieldwork, data collection and management, sample processing and storage, managed data sharing and consent for re-approaching participants, which can be utilised for further research studies. As such, the DDS represents a rich platform for investigating the distribution, interrelation and aetiology of chronic diseases and their risk factors, which is critical for developing health care policies for disease management and prevention. For data access enquiries please contact the African Partnership for Chronic Disease Research (APCDR) at [email protected] or the corresponding author.


Author(s):  
Yiqing MAO ◽  
Zhanchun FENG ◽  
Shangfeng TANG ◽  
Tailai WU ◽  
Ruoxi WANG ◽  
...  

Background: This study aimed to identify the characteristics of item nonresponse and examine the factors affecting the refusal or failure to respond of patients with chronic disease in rural China. Methods: A cross-sectional survey data from patients with chronic disease from rural China were analyzed. A total of 1,099 patients were enrolled. Chi-square test and cumulative logistic regression determined the predictors of having item nonresponse. Results: The respondents in central provinces (OR = 2.311, 95%CI = 0.532~1.144, P < 0.001) with over eight household members (OR = 0.067, 95%CI = -1.632~-0.349, P = 0.002), multiple chronic diseases (OR = 0.301, 95%CI = -1.673~-0.727, P < 0.001), and low health knowledge level (OR = 2.112, 95%CI = 0.405~1.090, P < 0.001) had more item nonresponse numbers. Compared with the participants with high school education level and above, the item nonresponse number seemed to increase when the participants were illiterate (OR = 2.159, 95%CI = 0.254~1.285, P = 0.003), had primary school education (OR = 2.161, 95%CI = 0.249~1.294, P = 0.004) and junior school education (OR = 2.070, 95%CI = 0.160~1.296, P = 0.012). Conclusion: This study indicates the influencing factors of the item nonresponse in survey of patients with chronic disease in rural China. This study contributes to investigation practice and highlights that health institutions should improve the quality of follow-up services. Moreover, the government should pay more attention to the care of vulnerable groups, especially patients with chronic disease in rural areas.


2008 ◽  
Vol 6 (2) ◽  
pp. 84-92 ◽  
Author(s):  
Shonna L. Snyder ◽  
Lauren Misera

The most recent National College Health Assessment (2007) revealed that college students are engaging in risky health behaviors that are putting them at risk for death, disease, and injury. Studies suggest that certain college student risk behaviors, such as consuming alcohol, increases around certain times of the year and at certain events. Event specific prevention (ESP) programs have been introduced to many college campuses in order to address these risky behaviors. ESP is a strategy designed to reduce risk behaviors around certain events or during times of the year when risk behaviors increase. The purpose of this study was to determine college students’ perceptions of the effectiveness of a Safe Spring Break ESP program. A cross sectional survey, conducted with 223 students from a large Southeastern university, revealed that 89.9% learned something new at the event and 84.5% reported the information would be helpful while on spring break. Also, many students felt the event was effective or extremely effective at increasing their knowledge regarding specific health behaviors surrounding spring break. This study encourages universities to invest in implementing ESP programs. Recommendations for student wellness, student counseling, and student services regarding ESP programs are included.


2019 ◽  
Author(s):  
Sandhya V Shimoga ◽  
Erlyana Erlyana ◽  
Vida Rebello

BACKGROUND Adolescents’ use of social media, which has increased considerably in the past decade, has both positive and negative influences on adolescents’ health and health behaviors. As social media is the most prominent communication tool of choice for adolescents, it is important to understand the relationship between the frequency of social media use and health behaviors among this population. OBJECTIVE The objective of our study was to examine the associations between the frequency of social media use and physical activity and sleep adequacy among middle and high school students. METHODS We used data from the Monitoring the Future survey (2014 and 2015), a nationally representative, annual, cross-sectional survey of American 8th-, 10th-, and 12th-grade students (N=43,994). Health behaviors examined were frequency of vigorous physical activity and frequency of getting 7 hours of sleep (never/seldom, sometimes, and every day/nearly every day). We measured frequency of social media use using a Likert-like scale (never, a few times a year, 1-2 times a month, once a week, or every day). Multivariable generalized ordered logistic regressions examined the association of social media use with different levels of physical activity and sleep. We estimated marginal effects (MEs) for the main independent variable (social media use frequency) by holding all other variables at their observed values. RESULTS The study population comprised 51.13% (21,276/42,067) female students, 37.48% (17,160/43,994) from the South, and 80.07% (34,953/43,994) from a metropolitan area, with 76.90% (33,831/43,994) reporting using social media every day. Among physically active students, frequent social media use was associated with a higher likelihood of vigorous daily exercise (ME 50.1%, 95% CI 49.2%-51.0%). Among sedentary students, frequent social media use was associated with a lower likelihood of vigorous daily exercise (ME 15.8%, 95% CI 15.1%-16.4%). Moderately active students who used social media once or twice a month had the highest likelihood of reporting vigorous daily exercise (ME 42.0%, 95% CI 37.6%-46.3%). Among those who normally got adequate sleep, daily social media users were least likely to report adequate sleep (ME 41.3%, 95% CI 40.4%-42.1%). Among those who were usually sleep deprived, daily social media users were more likely to report adequate sleep (ME 18.3%, 95% CI 17.6%-19.0%). CONCLUSIONS Regular social media use every day was associated with a reinforcement of health behaviors at both extremes of health behaviors, whereas a medium intensity of social media use was associated with the highest levels of physical activity and lowest sleep adequacy among those with moderate health behaviors. Hence, finding an optimal level of social media use that is beneficial to a variety of health behaviors would be most beneficial to adolescents who are in the middle of the health behavior spectrum.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 1016-1016
Author(s):  
Mushira Khan ◽  
Patrick Hill ◽  
Catherine O'Brien ◽  
Dugan O'Connor

Abstract Hope can be understood as a motivational state that enables people to move toward their goals. Yet, how hope may act as a motivator for healthy behaviors in older adults is not well-understood. Further, the extant literature utilizes varied conceptualizations of hope, and a better understanding of the constructs that underlie the relationship between hope and health behaviors is needed. This study examined the relationship between hope and health behaviors, explored how this relationship may differ across different socio-demographic groups, and considered how hope relates to perceived future selves among older adults. Community-dwelling adults 55 years and older (n = 711; mean age 67.38 years; 280 men, 431 women) completed an online, cross-sectional survey. Survey measures included, along with the Adult Hope Scale (AHS) and the Herth Hope Index (HHI), a health behaviors checklist, self-reported health, and a future self scale. We found a moderately strong positive correlation between hope and healthy behaviors in older adults (AHS r = 0.46, p &lt; .01; HHI r = 0.50, p &lt; .01). Participants with higher levels of hope also reported more positive future selves and better health. The associations were similar across different racial/ethnic groups and the magnitude of this effect held even after controlling for gender, education, marital status, and income. Of the two hope scales, we recommend the AHS measure given its relative parsimony, greater use in the field, and the fact that the associations were fairly similar to the HHI with respect to health and health behavior.


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