eHealth Use Among First-Generation Immigrants From Pakistan in the Oslo Area, Norway, With Focus on Diabetes: Survey Protocol

The Use of Information and Communication Technology Among Older Immigrants in Need of Home Care: a Systematic Literature Review

Better home care and home care technologies are no longer requested solely by nonimmigrant older adults but also by members of the fast-growing older adult immigrant population. However, limited attention has been given to this issue, or to the use of technology in meeting the needs of aging populations. The objective of this review is to map existing knowledge of older adult immigrants' use of information and communication technologies for home care service published in scientific literature from 2014 to 2020. Twelve studies met the established eligibility criteria in a systematic literature search. The results showed older adult immigrants faced similar barriers, which were independent of their ethnic backgrounds but related to their backgrounds as immigrants including lower socioeconomic status, low language proficiency, and comparatively lower levels of social inclusion. Technology use could be facilitated if older adult immigrants received culturally-tailored products and support from family members and from society. The results imply that the included studies do not address or integrate cultural preferences in the development of information and communication technology for home care services. Caregivers might provide an opportunity to bridge gaps between older immigrants' cultural preferences and technology design. This specific research field would also benefit from greater interest in the development of novel methodologies.

Socio-demographic characteristics affect health information seeking on the Internet in Turkey

OBJECTIVE

The objective of this paper was to determine the effects of certain socio-demographic characteristics of Turkish individuals who seek health information on the Internet.

METHODS

This study was granted permission to use data obtained by the Turkish Statistical Institute (TSI) in 2018 under their Household Information Technology Use (HITU) study. The original sample for this research comprised 19,389 participants.

RESULTS

Age, gender, educational level, place of residence and frequency of Internet use were all found to impact the participants' health information seeking behaviour on the Internet. Health information was sought more frequently by women than men, by younger than older people and by those with higher levels of education. Also, health information searches were conducted more often in developed regions than in less-developed regions. In addition, it was also found that the habit of seeking health information was more common among those who use the Internet more frequently.

CONCLUSION

Several socio-demographic characteristics of individuals affect their health information seeking behaviour on the Internet. All individuals should be granted equivalent access to reliable health information by taking sociodemographic characteristics and discrepancies into consideration.

Associations Between Immigration-Related User Factors and eHealth Activities for Self-Care: Case of First-Generation Immigrants From Pakistan in the Oslo Area, Norway

BACKGROUND

Immigrant populations are often disproportionally affected by chronic diseases, such as type 2 diabetes mellitus (T2DM). Use of information and communication technology (ICT) is one promising approach for better self-care of T2DM to mitigate the social health inequalities, if designed for a wider population. However, knowledge is scarce about immigrant populations' diverse electronic health (eHealth) activities for self-care, especially in European countries.

OBJECTIVE

With a target group of first-generation immigrants from Pakistan in the Oslo area, Norway, we aimed to understand their diverse eHealth activities for T2DM self-care in relation to immigration-related user factors specific to this target group: proficiency in relevant languages (Urdu, Norwegian, English), length of residence in Norway, and diagnosis of T2DM compared with general user factors (age, gender, education and digital skills, and self-rated health status).

METHODS

Data were from a survey among the target population (N=176) conducted in 2015-2016. Using logistic regression, we analyzed associations between user factors and experiences of each of the following eHealth activities for T2DM self-care in the last 12 months: first, information seeking by (1) search engines and (2) Web portals or email subscriptions; second, communication and consultation (1) by closed conversation with a few acquaintances using ICT and (2) on social network services; and third, active decision making by using apps for (1) tracking health information and (2) self-assessment of health status. Using Poisson regression, we also assessed the relationship between user factors and variety of eHealth activities experienced. The Bonferroni correction was used to address the multiple testing problem.

RESULTS

Regression analyses yielded the following significantly positive associations: between Urdu literacy and (1) information seeking by Web portals or email subscriptions (odds ratio [OR] 2.155, 95% CI 1.388-3.344), (2) communication and consultation on social network services (OR 5.697, 95% CI 2.487-13.053), and (3) variety (estimate=0.350, 95% CI 0.148-0.552); between length of residence in Norway and (1) communication and consultation by closed conversation with a few acquaintances using ICT (OR 1.728, 95% CI 1.193-2.503), (2) communication and consultation on social network services (OR 2.098, 95% CI 1.265-3.480), and (3) variety (estimate=0.270, 95% CI 0.117-0.424); between Norwegian language proficiency and active decision making by using apps for self-assessment of health status (OR 2.285, 95% CI 1.294-4.036); between education and digital skills and active decision making by using apps for tracking health information (OR 3.930, 95% CI 1.627-9.492); and between being a female and communication and consultation by closed conversation with a few acquaintances using ICT (OR 2.883, 95% CI 1.335-6.227).

CONCLUSIONS

This study implies immigration-related factors may confound associations between general user factors and eHealth activities. Further studies are needed to explore the influence of immigration-related user factors for eHealth activities in other immigrant groups and countries.

INTERNATIONAL REGISTERED REPORT

RR2-DOI 10.2196/resprot.5468.

Immigrants' Use of eHealth Services in the United States, National Health Interview Survey, 2011-2015

OBJECTIVES

Little is known about the use of electronic health (eHealth) services supported by information technology in the United States among immigrants, a group that faces barriers in accessing care and, consequently, disparities in health outcomes. We examined differences in the use of eHealth services in the United States by immigration status in a nationally representative sample.

METHODS

We used data from the 2011-2015 National Health Interview Survey to assess use of eHealth services among US natives, naturalized citizens, and noncitizens. Our outcome variable of interest was respondent-reported use of eHealth services, defined as making medical appointments online, refilling prescriptions online, or communicating with health care professionals through email, during the past 12 months. We analyzed use of eHealth services, demographic characteristics, socioeconomic status, and health status among all 3 groups. We used multivariate logistic regression models to examine the association between immigration status and the likelihood of using eHealth services, adjusting for individual demographic, socioeconomic, and health characteristics.

RESULTS

Among 126 893 US natives, 18 763 (16.1%) reported using any eHealth services in the past 12 months, compared with 1738 of 15 102 (13.0%) naturalized citizens and 1020 of 14 340 (7.8%) noncitizens. Adjusting for socioeconomic factors reduced initial gaps: naturalized citizens (adjusted odds ratio [aOR] = 0.81; 95% confidence interval [CI], 0.75-0.87) and noncitizens (aOR = 0.81; 95% CI, 0.72-0.90) had approximately 20% lower odds of using eHealth services than did US natives. However, the differences varied by type of eHealth service. Immigrants with higher English-language proficiency were more likely to use eHealth services than were immigrants with lower English-language proficiency.

CONCLUSIONS

Targeted interventions that reduce socioeconomic barriers in accessing technology and promote multilingual electronic portals could help mitigate disparities in use of eHealth services.

The Association Between Commonly Investigated User Factors and Various Types of eHealth Use for Self-Care of Type 2 Diabetes: Case of First-Generation Immigrants From Pakistan in the Oslo Area, Norway

Background

Sociodemographic and health-related factors are often investigated for their association with the active use of electronic health (eHealth). The importance of such factors has been found to vary, depending on the purpose or means of eHealth and the target user groups. Pakistanis are one of the biggest immigrant groups in the Oslo area, Norway. Due to an especially high risk of developing type 2 diabetes (T2D) among this population, knowledge about their use of eHealth for T2D self-management and prevention (self-care) will be valuable for both understanding this vulnerable group and for developing effective eHealth services.

Objective

The aim of this study was to examine how commonly were the nine types of eHealth for T2D self-care being used among our target group, the first-generation Pakistani immigrants living in the Oslo area. The nine types of eHealth use are divided into three broad categories based on their purpose: information seeking, communication, and active self-care. We also aimed to investigate how sociodemographic factors, as well as self-assessment of health status and digital skills are associated with the use of eHealth in this group.

Methods

A survey was carried out in the form of individual structured interviews from September 2015 to January 2016 (N=176). For this study, dichotomous data about whether or not an informant had used each of the nine types of eHealth in the last 12 months and the total number of positive answers were used as dependent variables in a regression analysis. The independent variables were age, gender, total years of education, digital skills (represented by frequency of asking for help when using information and communication technology [ICT]), and self-assessment of health status. Principal component analyses were applied to make categories of independent variables to avoid multicollinearity.

Results

Principal component analysis yielded three components: knowledge, comprising total years of education and digital skills; health, comprising age and self-assessment of health status; and gender, as being a female. With the exception of closed conversation with a few specific acquaintances about self-care of T2D (negatively associated, P=.02) and the use of ICT for relevant information-seeking by using search engines (not associated, P=.18), the knowledge component was positively associated with all the other dependent variables. The health component was negatively associated with the use of ICT for closed conversation with a few specific acquaintances about self-care of T2D (P=.01) but not associated with the other dependent variables. Gender component showed no association with any of the dependent variables.

Conclusions

In our sample, knowledge, as a composite measure of education and digital skills, was found to be the main factor associated with eHealth use regarding T2D self-care. Enhancing digital skills would encourage and support more active use of eHealth for T2D self-care.