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Evaluation of Financial Support Workshops for Patients Under State Pension Age With Degenerative Cervical Myelopathy: Survey Study

Evaluation of Financial Support Workshops for Patients Under State Pension Age With Degenerative Cervical Myelopathy: Survey Study

This equates to an estimated lifetime inflated loss of income of up to £347,112 (US $435,150) using UK Office for National Statistics figures or £474,719 (US $595,121) using Office for Economic Co-Operation figures [17]. In fact, there is an estimated annual loss of productivity of £362.6m (US $453.3m), in addition to disability financial support totaling £280.2m (US $350.3m) and an overall cost to society for this cohort of £681.6m (US $ 853.9m) in the United Kingdom [17].

Tanzil Rujeedawa, Zahabiya Karimi, Helen Wood, Irina Sangeorzan, Roy Smith, Iwan Sadler, Esther Martin-Moore, Adrian Gardner, Andreas K Demetriades, Rohitashwa Sinha, Gordan Grahovac, Antony Bateman, Naomi Deakin, Benjamin Davies

JMIR Form Res 2025;9:e59032

Differences in eHealth Access, Use, and Perceived Benefit Between Different Socioeconomic Groups in the Dutch Context: Secondary Cross-Sectional Study

Differences in eHealth Access, Use, and Perceived Benefit Between Different Socioeconomic Groups in the Dutch Context: Secondary Cross-Sectional Study

Standardized income was defined as the net monthly income of the household adjusted for number of household members. The net income was converted to the equivalent of the net income of a single adult household by using equivalence factors from Statistics Netherlands (the Dutch Institute for Population Statistics) [51]. Some respondents acknowledged having children or other adults living in their household apart from their partner or children older than 18 years of age but did not specify the number.

Lucille Standaar, Lilian van Tuyl, Anita Suijkerbuijk, Anne Brabers, Roland Friele

JMIR Form Res 2025;9:e49585

Patient Preferences for Direct-to-Consumer Telemedicine Services: Replication and Extension of a Nationwide Survey

Patient Preferences for Direct-to-Consumer Telemedicine Services: Replication and Extension of a Nationwide Survey

Survey Monkey Audience provided 5 multiple-choice screening questions to ensure a representative US sample by gender, age, income, device type, and region. We retained multiple-choice items from the 2017 survey related to duration (Q1) and frequency (Q2) of visits to a PCP, and added items asking participants of their level of use of telemedicine (Q3) [14].

Julia Ivanova, Hattie Wilczewski, Farina Klocksieben, Mollie Cummins, Hiral Soni, Triton Ong, Janelle Barrera, Jillian Harvey, Nathaniel O'Connell, James McElligott, Brandon Welch, Brian Bunnell

JMIR Hum Factors 2024;11:e51056

Requirements for and Barriers to Rehabilitation Services for Children With Disabilities in Middle- and High-Income Countries: Scoping Review

Requirements for and Barriers to Rehabilitation Services for Children With Disabilities in Middle- and High-Income Countries: Scoping Review

The World Bank classifies the global economy into 4 distinct categories based on 3 income thresholds: US $1135, US $4465, and US $13,846 per capita gross national income (GNI) for the year 2022. These categories are low-income, lower-middle-income, upper-middle-income, and high-income [16]. Previous research has predominantly focused on countries classified as low-income economies [12,17,18].

Yijun Xie, Jing Wu, Yao Li, Hui Liu, Yanyan Peng, Ping Zhou, Yizhou Sun, Luyan Kang, Chenghua Jiang, Hengjing Wu

Interact J Med Res 2024;13:e50047

Social Determinants of Health and Diabetes-Related Distress in Patients With Insulin-Dependent Type 2 Diabetes: Cross-sectional, Mixed Methods Approach

Social Determinants of Health and Diabetes-Related Distress in Patients With Insulin-Dependent Type 2 Diabetes: Cross-sectional, Mixed Methods Approach

Studies examining the connections between SDOH and diabetes have shown that lower levels of SDOH factors including income, education, and employment are associated with a higher prevalence of diabetes [7], increased diabetes-related mortality [8], and poorer glycemic control [9-11]. To date, most diabetes-related SDOH literature has generally assessed a narrow subset of SDOH challenges at one time [12-15].

Natalie K Levy, Agnes Park, Daniela Solis, Lu Hu, Aisha T Langford, Binhuan Wang, Erin S Rogers

JMIR Form Res 2022;6(10):e40164

COVID-19 Vaccine–Related Attitudes and Beliefs in Canada: National Cross-sectional Survey and Cluster Analysis

COVID-19 Vaccine–Related Attitudes and Beliefs in Canada: National Cross-sectional Survey and Cluster Analysis

We also calculated adjusted prevalence ratios (a PRs) by using sociodemographic characteristics identified through a literature search [10,14-16] as being associated with vaccine hesitancy, including sex at birth, age, ethnicity, province of residence, education, household income, and political leaning. To identify data-driven patterns in survey responses with respect to vaccine hesitancy, we used cluster analysis.

Jamie L Benham, Omid Atabati, Robert J Oxoby, Mehdi Mourali, Blake Shaffer, Hasan Sheikh, Jean-Christophe Boucher, Cora Constantinescu, Jeanna Parsons Leigh, Noah M Ivers, Scott C Ratzan, Madison M Fullerton, Theresa Tang, Braden J Manns, Deborah A Marshall, Jia Hu, Raynell Lang

JMIR Public Health Surveill 2021;7(12):e30424

Mobile Delivery of Mindfulness-Based Smoking Cessation Treatment Among Low-Income Adults During the COVID-19 Pandemic: Pilot Randomized Controlled Trial

Mobile Delivery of Mindfulness-Based Smoking Cessation Treatment Among Low-Income Adults During the COVID-19 Pandemic: Pilot Randomized Controlled Trial

Based on an April 2020 nationally representative survey in the United States, 52% of lower-income adults indicated that they or someone in their household experienced unemployment or a pay reduction because of the outbreak (compared to 32% of those with a higher income) [31]. Only 23% of lower-income adults had an emergency fund to cover illness, loss of employment, or an economic recession, compared to 48% of middle-income adults and 75% of higher-income adults [31].

Josephine Adams Mhende, Sharrill A Bell, Cherell Cottrell-Daniels, Jackie Luong, Micah Streiff, Mark Dannenfelser, Matthew J Hayat, Claire Adams Spears

JMIR Form Res 2021;5(7):e25926

Effectiveness of Interactive Tools in Online Health Care Communities: Social Exchange Theory Perspective

Effectiveness of Interactive Tools in Online Health Care Communities: Social Exchange Theory Perspective

Income is important for social exchange. The product of the number of doctors’ services and the unit price of consultation was used to determine the internet-based economic rewards. Social exchange is a two-way transaction: “there must be both pay and return” [30]. Doctors can use two tools to show their efforts on the Haodf website: the doctors’ quality of service and the mutual help group. The Haodf website provides patients with the ability to consult doctors [31].

Dixuan Ren, Baolong Ma

J Med Internet Res 2021;23(3):e21892

Inequalities in the Use of eHealth Between Socioeconomic Groups Among Patients With Type 1 and Type 2 Diabetes: Cross-Sectional Study

Inequalities in the Use of eHealth Between Socioeconomic Groups Among Patients With Type 1 and Type 2 Diabetes: Cross-Sectional Study

In people with T1 D, we found that the middle- and high-income groups had lower odds of using video services (OR 0.51, 95% CI 0.26-0.99 and OR 0.50, 95% CI 0.26-0.98, respectively) compared with the low-income group (Table 3). Among people with T1 D, as well as T2 D, the high income group more likely used apps, compared with the low income group (OR 3.05, 95% CI 1.63-5.71 and OR 2.06, 95% CI 1.02-4.19, respectively; Tables 3 and 4).

Anne Helen Hansen, Meghan Bradway, Jan Broz, Tor Claudi, Øystein Henriksen, Silje C Wangberg, Eirik Årsand

J Med Internet Res 2019;21(5):e13615