Diabetes Spectrum, Год журнала: 2022, Номер 35(1), С. 33 - 42
Опубликована: Фев. 8, 2022
The ongoing coronavirus pandemic led to a rapid and dramatic increase in the use of telehealth for diabetes care. In wake this transition, we examine new opportunities challenges using within management, based on data experiences from pre-pandemic time frames.
Язык: Английский
JMIR mhealth and uhealth, Год журнала: 2022, Номер 10(5), С. e36284 - e36284
Опубликована: Март 22, 2022
Mobile health (mHealth) tools have emerged as a promising care technology that may contribute to cost savings, better access care, and enhanced clinical outcomes; however, it is important ensure their acceptance adoption harness this potential. Patient has been recognized key challenge requires further exploration.
Язык: Английский
Процитировано
108
Journal of General Internal Medicine, Год журнала: 2022, Номер 37(5), С. 1191 - 1197
Опубликована: Фев. 2, 2022
Язык: Английский
Процитировано
106
Journal of Medical Internet Research, Год журнала: 2023, Номер 25, С. e43604 - e43604
Опубликована: Май 12, 2023
Despite considerable efforts to encourage telehealth use during the COVID-19 pandemic, we witnessed a potential widening of health inequities that may continue plague US care system unless mitigate modifiable risk factors.This study aimed examine hypothesis there are systemic differences in usage among people who live at or below 200% federal poverty level. Factors consider age, gender, race, ethnicity, education, employment status, household size, and income.A retrospective observational was performed using Research Database analyze factors contributing inequities. The period ranged from March 2020 April 2021. Office Ally database provided claims data 100 million unique patients 3.4 billion claims. Analytics IQ PeopleCore Consumer is nationally representative 242.5 adults aged 19 years older. We analyzed medical investigate influence demographic socioeconomic on low-income racial ethnic minority populations. conducted multiple logistic regression analysis determine odds diverse groups period.Among 2,850,831 patients, nearly 60% them were female, 75% had high school education less, 49% unemployed, 62% identified as non-Hispanic White. Our results suggest 9.84% ≥1 period. Asian (odds ratio [OR] 1.569, 95% CI 1.528-1.611, P<.001) Hispanic (OR 1.612, 1.596-1.628, more likely than White -Black patients. Patients employed full-time 15% 1.148, 1.133-1.164, unemployed male 12% 0.875, 0.867-0.883, less those female. with 5% 0.953, 0.944-0.962, bachelor's degree higher. 18-44-year age group 32% 1.324, 1.304-1.345, ≥65-year group.Factors impact include income. While communities greater for this group, telehealth, Black demonstrate inequity. Gender, income contribute across gradients poverty. Strategies improve should characteristics subgroups, do not experience equally.
Язык: Английский
Процитировано
49
Applied Clinical Informatics, Год журнала: 2021, Номер 12(04), С. 836 - 844
Опубликована: Авг. 1, 2021
The telemedicine industry has been experiencing fast growth in recent years. outbreak of coronavirus disease 2019 (COVID-19) further accelerated the deployment and utilization services. An analysis socioeconomic characteristics users to understand potential gaps disparities is critical for improving adoption services among patients. This study aims measure correlation determinants with use Milwaukee metropolitan area. Electronic health record review patients using compared those not within an academic-community system: patient demographics (e.g., age, gender, race, ethnicity), insurance status, obtained through block-level census data were all other regression analysis. rates calculated across regional ZIP codes analyze geographic patterns adoption. A total 104,139 used during period. Patients who video visits younger (median age 48.12), more likely be White (odds ratio [OR] 1.34; 95% confidence interval [CI], 1.31-1.37), have private (OR 1.43; CI, 1.41-1.46); telephone older 57.58), Black 1.31; CI 1.28-1.35), public 1.30; 1.27-1.32). In general, Latino Asian populations less telemedicine; women general than men. multiple social determinant factors 126 codes, college education (coefficient 1.41, p = 0.01) had a strong rate. Adoption was significantly impacted by health, such as income, level, type. reveals inequities
Язык: Английский
Процитировано
90
The Journal of Rural Health, Год журнала: 2021, Номер 38(3), С. 519 - 526
Опубликована: Ноя. 18, 2021
Broadband access is a "super determinant of health." Understanding the spatial distribution and predictors may help target government programs telehealth applications. Our aim was to examine broadband across geography sociodemographic characteristics using American Community Survey (ACS) data.We used 5-year ACS estimates from 2014 2018 evaluate contiguous US census tracts. Rural-Urban Commuting Area (RUCA) codes were categorized as metropolitan, micropolitan, small town, isolated rural. We performed bivariate analyses determine differences by RUCA categories meeting Healthy People 2020 (HP2020) objective (83.2% access) or not. conducted statistics regression identify clusters factors associated with access.No grouping met HP2020 objective; 80.6% households had access, including 82.0% 73.9% 70.7% 70.0% rural households. Areas high percentages Black residents lower particularly in tracts (54.9%). Low spatially clustered Southeast, Southwest, northern plains. In models, poverty education most strongly while proportion Indian/Alaska Native population strongest racial/ethnic factor.Rural areas less greatest disparities experienced among geographically larger populations, more poverty, educational attainment, following well-known social gradients health. Resources initiatives should these need.
Язык: Английский
Процитировано
85
Journal of Medical Internet Research, Год журнала: 2021, Номер 23(7), С. e27982 - e27982
Опубликована: Июль 14, 2021
Background The use of telemedicine outpatient visits has increased dramatically during the COVID-19 pandemic in many countries. Although disparities access to by age and socioeconomic status (SES) have been well-documented, evidence is limited as how these changed pandemic. Moreover, equity patient scarcely reported Japan, despite huge potential for expansion. Objective We aimed investigate changes due SES Japan. Methods Using data from a large internet survey conducted between August 25 September 30, 2020, we examined associations participant (educational attainment, urbanicity residence, income level) with their following two time periods pandemic: April 2020 August-September 2020. Results Of 24,526 participants aged 18 79 years (50.8% [n=12,446] women), proportion individuals who using 2.0% (n=497) 4.7% (n=1159) After adjusting confounders, younger were more likely than older this pattern persisted also observed substantial increase among 70 (adjusted rates, 0.2% vs 3.8% 2020; P<.001 after multiple comparisons). found that did not exist In university degree those high school diploma or less 6.6% 3.5%; P<.001). Individuals living urban areas exhibited higher rates rural only 5.2% 3.8%; Disparities level either period. Conclusions general, compared pandemic, although 70s telemedicine. educational attainment residence widened
Язык: Английский
Процитировано
77
Ophthalmology, Год журнала: 2021, Номер 129(1), С. 15 - 25
Опубликована: Июль 8, 2021
PurposeTo identify disparities in the use of telemedicine during coronavirus disease 2019 (COVID-19) pandemic.DesignA cross-sectional study completed clinical encounters an academic ophthalmology center from March 2020 through August 2020.ParticipantsA total 5023 patients comprising 8116 ophthalmic encounters.MethodsMedical charts were abstracted for demographic information. We identified zip code-level socioeconomic characteristics, which drawn American Community Survey 5-year estimates.Main Outcome MeasuresThe completion a synchronous video encounter, telephone (audio-only) encounter absence any encounters, or in-person only.ResultsDuring period, unique patients. Of these patients, 446 (8.9%) participated 642 (12.8%) and 3935 (78.3%) attended appointments person only. In adjusted analysis, who Black (odds ratio [OR], 0.65; 95% confidence interval [CI], 0.52–0.80; P < 0.001) Hispanic/Latino (OR, CI, 0.49–0.85; = 0.002) significantly less likely to complete appointment. Older 0.99; 0.98–0.99; 0.001), whose primary language was not English 0.49; 0.28–0.82; 0.01), 0.45; 0.32–0.62; 0.56; 0.37–0.83; 0.005) encounter. Finally, among completing type older age, 1.02; 1.01–1.03; Medicare insurance 1.55; 1.11–2.17; race 1.97; 1.33–2.94; associated with using only phone visits.ConclusionsEthnic/racial minorities, non–English-speaking individuals telehealth With expansion need reduce disparate impact COVID-19 on it will be increasingly important barriers opportunities improve access. To pandemic. A 2020. encounters. Medical estimates. The During visits. Ethnic/racial
Язык: Английский
Процитировано
71
Journal of Diabetes Science and Technology, Год журнала: 2021, Номер 15(5), С. 986 - 992
Опубликована: Март 14, 2021
Background: During the COVID-19 pandemic, telemedicine use rapidly and dramatically increased for management of diabetes mellitus. It is unknown whether access to care has been equitable during this time. This study aimed identify patient-level factors associated with adoption subspecialty pandemic. Methods: We conducted an explanatory sequential mixed-methods using data from a single academic medical center. used multivariate logistic regression explore associations between demographic patients receiving March 19 June 30, 2020. then surveyed sample who received in-person understand why these did not telemedicine. Results: Among 1292 period, those over age 65 were less likely (OR: 0.34, 95% CI: 0.22-0.52, P < .001), as primary language other than English 0.53, 0.31-0.91, = .02), public insurance 0.64, 0.49-0.84, .001). Perceived quality technological barriers most common reasons cited choosing Conclusions: Our findings suggest that, amidst there have disparities in by age, language, anticipate will continue be important modality chronic conditions years ahead. Significant work must therefore done ensure that services do introduce or widen population health disparities.
Язык: Английский
Процитировано
58
Public Health Reports, Год журнала: 2022, Номер 138(1), С. 149 - 156
Опубликована: Сен. 16, 2022
The COVID-19 pandemic has propelled the use of technology for health care services delivery. Because inequities in and access, we investigated telehealth among racial ethnic minority groups before during pandemic.
Язык: Английский
Процитировано
53
Journal of Racial and Ethnic Health Disparities, Год журнала: 2022, Номер 9(6), С. 2375 - 2386
Опубликована: Янв. 9, 2022
Язык: Английский
Процитировано
45