2126 Views
224 Downloads |
Perceived unmet healthcare needs among older Europeans in the COVID-19 pandemic and beyond: the telemedicine solution
Article | Year: 2024 | Pages: 125 - 150 | Volume: 48 | Issue: 2 Received: November 23, 2023 | Accepted: March 13, 2024 | Published online: June 10, 2024
|
FULL ARTICLE
FIGURES & DATA
REFERENCES
CROSSMARK POLICY
METRICS
LICENCING
PDF
Note: Weighted data using calibrated cross-sectional individual weights. Dashed lines represent the average of the samples.Source: Authors’ calculations based on SHARE Wave 8 COVID-19 Survey release 8.0.0., SHARE Wave 9 COVID-19 Survey release 8.0.0., Preliminary Wave 9 Release version 0.
Note: Weighted data using calibrated cross-sectional individual weights. Source: Authors’ calculations based on SHARE Wave 9 COVID-19 Survey release 8.0.0.
|
|
No remote consultations
|
Had remote consultations
|
|
|
N
|
Mean (%)
|
N
|
Mean (%)
|
|
Women
|
12,772
|
57.3
|
9,205
|
61.7***
|
|
Age (in
years)
|
22,298
|
71.2
|
14,927
|
70.6***
|
|
Lives
alone
|
6,042
|
27.1
|
3,701
|
24.8***
|
|
Education level
|
|
|
|
|
|
Low
|
6,827
|
30.6
|
4,849
|
32.5***
|
|
Medium
|
9,885
|
44.3
|
6,709
|
45.0
|
|
High
|
5,586
|
25.1
|
3,369
|
22.6***
|
|
Had
economic difficulties
|
6,851
|
30.7
|
6,697
|
44.9***
|
|
Lives
in the urban area
|
14,235
|
63.8
|
10,252
|
68.7***
|
|
SRH
(Wave 9) Good and better
|
14,722
|
66.0
|
7,891
|
52.9***
|
|
SRH before Corona
|
|
|
|
|
|
Poor
|
866
|
3.9
|
948
|
6.4***
|
|
Fair
|
4,519
|
20.3
|
4,589
|
30.7***
|
|
Good
|
10,434
|
46.8
|
6,773
|
45.4***
|
|
Very good
|
4,490
|
20.1
|
1,979
|
13.3***
|
|
Excellent
|
1,989
|
8.9
|
638
|
4.3***
|
|
Suffering from chronic illness
|
11,326
|
50.8
|
9,367
|
62.8***
|
|
Had healthcare forgone
|
3,603
|
16.2
|
3,064
|
20.5***
|
|
Had healthcare postponed
|
6,575
|
29.5
|
5,705
|
38.2***
|
|
Had healthcare denied
|
1,519
|
6.8
|
1818
|
12.2***
|
|
Affectedness by COVID-19
|
|
|
|
|
|
No
|
12,170
|
54.6
|
7,205
|
48.3***
|
|
Mildly
|
6,850
|
30.7
|
5,209
|
34.9***
|
|
Severely
|
3,278
|
14.7
|
2,513
|
16.8***
|
|
Total
SHARE sample (SCS1, SCS2 and Wave 9)
|
22,298
|
59.9
|
14,927
|
40.1***
|
Note: Unweighted figures. *** p < 0.01. Source: Authors’ calculations based on combined data from SHARE Wave 8 COVID-19 Survey release 8.0.0., Wave 9 COVID-19 Survey release 8.0.0., Preliminary Wave 9 Release version: 0.
|
Country identifier
|
N
|
%
|
|
Austria
|
1,707
|
4.59
|
|
Germany
|
1,713
|
4.60
|
|
Sweden
|
786
|
2.11
|
|
Netherlands
|
585
|
1.57
|
|
Spain
|
910
|
2.44
|
|
Italy
|
2,551
|
6.85
|
|
France
|
1,483
|
3.98
|
|
Denmark
|
1,273
|
3.42
|
|
Greece
|
2,646
|
7.11
|
|
Switzerland
|
1,415
|
3.80
|
|
Belgium
|
,2820
|
7.58
|
|
Israel
|
332
|
0.89
|
|
Czech Republic
|
1,661
|
4.46
|
|
Poland
|
2,182
|
5.86
|
|
Luxembourg
|
624
|
1.68
|
|
Hungary
|
520
|
1.40
|
|
Portugal
|
717
|
1.93
|
|
Slovenia
|
2,464
|
6.62
|
|
Estonia
|
3,081
|
8.28
|
|
Croatia
|
1,433
|
3.85
|
|
Lithuania
|
1,059
|
2.84
|
|
Bulgaria
|
484
|
1.30
|
|
Cyprus
|
439
|
1.18
|
|
Finland
|
967
|
2.60
|
|
Latvia
|
734
|
1.97
|
|
Malta
|
563
|
1.51
|
|
Romania
|
1,249
|
3.36
|
|
Slovakia
|
827
|
2.22
|
|
Total
|
37,225
|
100.00
|
Note: Unweighted figures. Source: Authors’ calculations based on combined data from SHARE Wave 8 COVID-19 Survey release 8.0.0., Wave 9 COVID-19 Survey release 8.0.0., Preliminary Wave 9 Release version 0.
|
|
Odds ratios
|
|
Gender (ref.
Men)
|
|
|
Women
|
1.116***
|
|
Age (ref.
50-64)
|
|
|
65-79
|
0.832***
|
|
80+
|
0.689***
|
|
Living
arrangement (ref. Living with others)
|
|
|
Living
alone
|
1.217***
|
|
Education
level (ref. Low)
|
|
|
Medium
|
1.043
|
|
High
|
0.964
|
|
Financial
situation of household (ref. No econ. difficulties)
|
|
|
With
econ. difficulties
|
2.029***
|
|
Area of
residence (ref. Rural)
|
|
|
Urban
|
1.062*
|
|
SRH
(Wave 9) (ref. Good and better)
|
|
|
Fair or
poor
|
1.338***
|
|
SRH before
Corona (ref. Poor)
|
|
|
Fair
|
0.870**
|
|
Good
|
0.763***
|
|
Very
good
|
0.648***
|
|
Excellent
|
0.543***
|
|
Suffering
from chronic illnesses (ref. No)
|
|
|
Yes
|
1.376***
|
|
Remote
healthcare use (ref. No)
|
|
|
Yes
|
1.230***
|
|
Healthcare
forgone (ref. No)
|
|
|
Yes
|
1.466***
|
|
Healthcare
postponed (ref. No)
|
|
|
Yes
|
1.217***
|
|
Healthcare
denied (ref. No)
|
|
|
Yes
|
1.789***
|
|
Affectedness
by COVID-19 (ref. No)
|
|
|
Mildly
|
1.140***
|
|
Severely
|
1.253***
|
Note: *p < 0.1, **p < 0.05, ***p < 0.01. How to read the results in the table? For example, women aged 50 and older in 27 European countries and Israel had nearly 1.12 times (or 12 percentage points) higher odds of reporting unmet healthcare needs after the pandemic compared to men aged 50 and older in 27 European countries and Israel, ceteris paribus. Source: Authors' calculations based on SHARE Wave 8 COVID-19 Survey release 8.0.0., Wave 9 COVID-19 Survey release 8.0.0., Preliminary Wave 9 Release version 0.
Note: Average marginal effects for healthcare forgone 4.3 percentage points, healthcare postponed
2.1 percentage points, healthcare denied 7 percentage points and remote healthcare use
2.2 percentage points (dashed lines). Source: Authors’ calculations based on SHARE Wave 8 COVID-19 Survey release 8.0.0., Wave
9 COVID-19 Survey release 8.0.0., Preliminary Wave 9 Release version 0.
|
|
(1)
|
(2)
|
(3)
|
(4)
|
|
Country
|
Healthcare forgone
|
Healthcare postponed
|
Healthcare denied
|
Remote healthcare use
|
|
Austria
|
0.0372***
|
0.0180***
|
0.0615***
|
0.0187***
|
|
(0.00476)
|
(0.00358)
|
(0.00703)
|
(0.00371)
|
|
Germany
|
0.0417***
|
0.0202***
|
0.0686***
|
0.0210***
|
|
(0.00511)
|
(0.00403)
|
(0.00754)
|
(0.00413)
|
|
Sweden
|
0.0438***
|
0.0213***
|
0.0718***
|
0.0221***
|
|
(0.00587)
|
(0.00439)
|
(0.00870)
|
(0.00434)
|
|
Netherlands
|
0.0279***
|
0.0134***
|
0.0465***
|
0.0139***
|
|
(0.00515)
|
(0.00317)
|
(0.00799)
|
(0.00323)
|
|
Spain
|
0.0497***
|
0.0242***
|
0.0810***
|
0.0252***
|
|
(0.00633)
|
(0.00476)
|
(0.00880)
|
(0.00458)
|
|
Italy
|
0.0581***
|
0.0285***
|
0.0939***
|
0.0297***
|
|
(0.00645)
|
(0.00542)
|
(0.00887)
|
(0.00523)
|
|
France
|
0.0572***
|
0.0280***
|
0.0924***
|
0.0292***
|
|
(0.00663)
|
(0.00534)
|
(0.00884)
|
(0.00550)
|
|
Denmark
|
0.0295***
|
0.0142***
|
0.0490***
|
0.0147***
|
|
(0.00440)
|
(0.00300)
|
(0.00668)
|
(0.00302)
|
|
Greece
|
0.0567***
|
0.0278***
|
0.0917***
|
0.0290***
|
|
(0.00625)
|
(0.00537)
|
(0.00872)
|
(0.00518)
|
|
Switzerland
|
0.0313***
|
0.0151***
|
0.0519***
|
0.0156***
|
|
(0.00446)
|
(0.00312)
|
(0.00677)
|
(0.00325)
|
|
Belgium
|
0.0450***
|
0.0219***
|
0.0737***
|
0.0228***
|
|
(0.00519)
|
(0.00415)
|
(0.00739)
|
(0.00427)
|
|
Israel
|
0.0281***
|
0.0135***
|
0.0467***
|
0.0140***
|
|
(0.00558)
|
(0.00344)
|
(0.00890)
|
(0.00341)
|
|
Czechia
|
0.0454***
|
0.0221***
|
0.0744***
|
0.0230***
|
|
(0.00542)
|
(0.00423)
|
(0.00800)
|
(0.00434)
|
|
Poland
|
0.0362***
|
0.0175***
|
0.0598***
|
0.0182***
|
|
(0.00444)
|
(0.00340)
|
(0.00627)
|
(0.00323)
|
|
Luxembourg
|
0.0308***
|
0.0148***
|
0.0511***
|
0.0154***
|
|
(0.00495)
|
(0.00325)
|
(0.00774)
|
(0.00338)
|
|
Hungary
|
0.0426***
|
0.0207***
|
0.0699***
|
0.0215***
|
|
(0.00574)
|
(0.00420)
|
(0.00838)
|
(0.00411)
|
|
Portugal
|
0.0542***
|
0.0265***
|
0.0879***
|
0.0276***
|
|
(0.00667)
|
(0.00506)
|
(0.00918)
|
(0.00517)
|
|
Slovenia
|
0.0324***
|
0.0156***
|
0.0537***
|
0.0162***
|
|
(0.00411)
|
(0.00302)
|
(0.00595)
|
(0.00295)
|
|
Estonia
|
0.0508***
|
0.0248***
|
0.0827***
|
0.0258***
|
|
(0.00583)
|
(0.00477)
|
(0.00795)
|
(0.00460)
|
|
Croatia
|
0.0238***
|
0.0114***
|
0.0397***
|
0.0118***
|
|
(0.00332)
|
(0.00236)
|
(0.00504)
|
(0.00224)
|
|
Lithuania
|
0.0436***
|
0.0212***
|
0.0716***
|
0.0220***
|
|
(0.00537)
|
(0.00419)
|
(0.00756)
|
(0.00396)
|
|
Bulgaria
|
0.0363***
|
0.0175***
|
0.0600***
|
0.0182***
|
|
(0.00538)
|
(0.00385)
|
(0.00811)
|
(0.00367)
|
|
Cyprus
|
0.0153***
|
0.00731***
|
0.0257***
|
0.00757***
|
|
(0.00375)
|
(0.00213)
|
(0.00612)
|
(0.00212)
|
|
Finland
|
0.0562***
|
0.0275***
|
0.0910***
|
0.0287***
|
|
(0.00679)
|
(0.00540)
|
(0.00932)
|
(0.00536)
|
|
Latvia
|
0.0389***
|
0.0189***
|
0.0642***
|
0.0196***
|
|
(0.00517)
|
(0.00391)
|
(0.00755)
|
(0.00364)
|
|
Malta
|
0.0181***
|
0.00867***
|
0.0304***
|
0.00898***
|
|
(0.00394)
|
(0.00228)
|
(0.00640)
|
(0.00239)
|
|
Romania
|
0.0468***
|
0.0228***
|
0.0765***
|
0.0237***
|
|
(0.00578)
|
(0.00455)
|
(0.00810)
|
(0.00450)
|
|
Slovakia
|
0.0430***
|
0.0209***
|
0.0705***
|
0.0217***
|
|
(0.00551)
|
(0.00417)
|
(0.00813)
|
(0.00402)
|
|
Observations
|
37,225
|
37,225
|
37,225
|
37,225
|
Note: Standard errors in parentheses: *** p<0.01. How to read the results in the table? For
example, persons aged 50 and older in Austria who have forgone healthcare due to fear of
COVID-19 infection had, on average, a 3.7 percentage points higher probability
of reporting
unmet healthcare needs after the pandemic compared to those who did not forgo their medical
treatments due to fear. Source: Authors’ calculations based on SHARE Wave 8 COVID-19 Survey release 8.0.0., Wave
9 COVID-19 Survey release 8.0.0., Preliminary Wave 9 Release version 0.
Alami, H. [et al.], 2021. How can health systems better prepare for the next pandemic? Lessons learned from the management of COVID-19 in Quebec (Canada). Frontiers in Public Health, 9, pp. 671-833 [ CrossRef]
Alonso, J. [et al.], 1997. Unmet health care needs and mortality among Spanish elderly. American Journal of Public Health, 87(3), pp. 365-370 [ CrossRef]
Arnault, L., Jusot, F. and Renaud, T., 2022. Economic vulnerability and unmet healthcare needs among the population aged 50 + years during the COVID-19 pandemic in Europe. European Journal of Ageing, 19(4), pp. 811-825 [ CrossRef]
Ayanian, J. Z. [et al.], 2000. Unmet health needs of uninsured adults in the United States. Jama, 284(16), pp. 2061-2069 [ CrossRef]
Bailey, L. [et al.], 2021. Physical and mental health of older people while cocooning during the COVID-19 pandemic. QJM: An International Journal of Medicine, 114(9), pp. 648-653 [ CrossRef]
Bali, S., 2018. Barriers to Development of Telemedicine in Developing Countries. In: T. F. Heston, ed. Telehealth [ CrossRef]
Barbosa, W. [et al.], 2021. Improving access to care: telemedicine across medical domains. Annual Review of Public Health, 42, pp. 463-481 [ CrossRef]
Barnay, T. and Defebvre, É., 2023. The First COVID Wave: Comparing Experiences of Adults Age 50 and Older in the U.S. and Europe. Commonwealth Fund Issue Brief, April 5, 2023 [ CrossRef]
Bashshur, R. [et al.], 2020. Telemedicine and the COVID-19 Pandemic, Lessons for the Future. Telemedicine and e-Health, 26(5), pp. 571-573 [ CrossRef]
Bhatia, R. [et al.], (2022. Older adults’ perspectives on primary care telemedicine during the COVID-19 pandemic. Journal of the American Geriatrics Society, 70, pp. 3480-3492 [ CrossRef]
Börsch-Supan A., 2022a. Survey of Health, Ageing and Retirement in Europe (SHARE) Wave 1 - 8. Release version: 8.0.0. SHARE ERIC.
Börsch-Supan A., 2022b. Survey of Health, Ageing and Retirement in Europe (SHARE) Wave 8. COVID-19 Survey 1 - 2. Release version: 8.0.0. SHARE ERIC.
Börsch-Supan A., 2023. Survey of Health, Ageing and Retirement in Europe (SHARE) Wave 9. Release version: 0. SHARE ERIC. Preliminary data set.
Börsch-Supan, A. [et al.], 2013. Data Resource Profile: The Survey of Health, Ageing and Retirement in Europe (SHARE). International Journal of Epidemiology, 42(4), pp. 992-1001 [ CrossRef]
Cantor, J. H. [et al.], 2021. Who is (and is not) receiving telemedicine care during the COVID-19 pandemic. American Journal of Preventive Medicine, 61(3), pp. 434-438 [ CrossRef]
Charles, B. L. (2000). Telemedicine can lower costs and improve access. Healthcare Financial Management: Journal of the Healthcare Financial Management Association, 54(4), pp. 66-69.
Chen, J. and Hou, F., 2002. Unmet needs for health care. Health Reports, 13(2), pp. 23-34.
Choi, N. G. [et al.], 2022. Telehealth use among older adults during COVID-19: Associations with sociodemographic and health characteristics, technology device ownership, and technology learning. Journal of Applied Gerontology, 41(3), pp. 600-609 [ CrossRef]
Chu, C. [et al.], 2022. The Use of Telemedicine in Older-Adults During the COVID-19 Pandemic: a Weekly Cross-Sectional Analysis in Ontario, Canada. Canadian Geriatrics Journal, 25(4), pp. 380-389 [ CrossRef]
Colbert, G. B., Venegas-Vera, A. V. and Lerma, E. V., 2020. Utility of telemedicine in the COVID-19 era. Reviews in cardiovascular medicine, 21(4), pp. 583-587 [ CrossRef]
De Rosa, S. [et al.], 2020. Reduction of hospitalizations for myocardial infarction in Italy in the COVID-19 era. European Heart Journal, 41(22), pp. 2083-2088 [ CrossRef]
Del Rio, C., Collins, L. F. and Malani, P., 2020. Long-term Health Consequences of COVID-19. JAMA, 324(17), pp. 1723-1724 [ CrossRef]
Eberly, L. A. [et al.], 2020. Patient characteristics associated with telemedicine access for primary and specialty ambulatory care during the COVID-19 pandemic. JAMA network open, 3(12), pp. e2031640-e2031640 [ CrossRef]
Frydman, J. L. [et al.], 2022. Telemedicine uptake among older adults during the COVID-19 pandemic. Annals of Internal Medicine, 175(2), pp.145-148 [ CrossRef]
Goldberg, E. M. [et al.], 2021. Telehealth was beneficial during COVID‐19 for older Americans: a qualitative study with physicians. Journal of the American Geriatrics Society, 69(11), pp. 3034-3043 [ CrossRef]
González-Touya, M., Stoyanova, A. and Urbanos-Garrido, R. M., 2021. COVID-19 and Unmet Healthcare Needs of Older People: Did Inequity Arise in Europe? International Journal of Environmental Research and Public Health, 18(17), p. 9177 [ CrossRef]
Hawley, C. E. [et al.], 2020. Rapid Integration of Home Telehealth Visits Amidst COVID-19: What Do Older Adults Need to Succeed? Journal of the American Geriatrics Society, 68(11), pp. 2431-2439 [ CrossRef]
Herr, M. [et al.], 2014. Unmet health care needs of older people: prevalence and predictors in a French cross-sectional survey. The European Journal of Public Health, 24(5), pp. 808-813 [ CrossRef]
Hoffman, D. A., 2020. Increasing access to care: telehealth during COVID-19. Journal of Law and the Biosciences, 7(1), lsaa043 [ CrossRef]
Hoffmann, C. and Wolf, E., 2021. Older age groups and country-specific case fatality rates of COVID-19 in Europe, USA and Canada. Infection, 49, pp.111-116 [ CrossRef]
Isautier, J. M. [et al.], 2020. People’s Experiences and Satisfaction With Telehealth During the COVID-19 Pandemic in Australia: Cross-Sectional Survey Study. Journal of Medical Internet Research, 22(12), e24531 [ CrossRef]
Kim, H. Y. [et al.], 2018. Health service utilization, unmet healthcare needs, and the potential of telemedicine services among Korean expatriates. Globalization and Health, 14(1), p. 120 [ CrossRef]
Kim, J., You, M. and Shon, C., 2021. Impact of the COVID-19 pandemic on unmet healthcare needs in Seoul, South Korea: a cross-sectional study. BMJ open, 11(8), e045845 [ CrossRef]
Kim, S. and Hwang, J., 2023. What are the factors affecting older adults’ experience of unmet healthcare needs amid the COVID-19 pandemic in Korea? BMC Geriatrics, 23(1), pp. 1-10 [ CrossRef]
Ko, H., 2016. Unmet healthcare needs and health status: Panel evidence from Korea. Health Policy, 120(6), pp. 646-653 [ CrossRef]
Kruse, C. [et al.], 2020. Utilization barriers and medical outcomes commensurate with the use of telehealth among older adults: systematic review. JMIR Medical Informatics, 8(8), e20359 [ CrossRef]
Lebrasseur, A. [et al.], 2021. Impact of the COVID-19 Pandemic on Older Adults: Rapid Review. JMIR Aging, 4(2), e26474 [ CrossRef]
Lindström, C., Rosvall, M. and Lindström, M., 2020. Unmet health-care needs and mortality: A prospective cohort study from southern Sweden. Scandinavian Journal of Public Health, 48(3), pp. 267-274 [ CrossRef]
Ma, Y. [et al.], 2022. Long-Term Consequences of COVID-19 at 6 Months and Above: A Systematic Review and Meta-Analysis. International Journal of Environmental Research and Public Health, 19(11), p. 6865 [ CrossRef]
Monaghesh, E. and Hajizadeh, A., 2020. The role of telehealth during COVID-19 outbreak: a systematic review based on current evidence. BMC Public Health, 20, pp. 1-9 [ CrossRef]
Moynihan, R. [et al.], 2021. Impact of COVID-19 pandemic on utilisation of healthcare services: a systematic review. BMJ open, 11(3), e045343 [ CrossRef]
Ng, B. P. [et al.], 2022. Accessibility and utilisation of telehealth services among older adults during COVID‐19 pandemic in the United States. Health & Social Care in the Community, 30(5), pp. e2657-e2669 [ CrossRef]
Núñez, A., Sreeganga, S. D. and Ramaprasad, A., 2021. Access to Healthcare during COVID-19. International Journal of Environmental Research and Public Health, 18(6), pp. 2980 [ CrossRef]
OECD, 2023. The COVID-19 Pandemic and the Future of Telemedicine. OECD Health Policy Studies. Paris: OECD [ CrossRef]
Ohannessian, R., Duong, T. A. and Odone, A., 2020. Global telemedicine implementation and integration within health systems to fight the COVID-19 pandemic: a call to action. JMIR Public Health and Surveillance, 6(2), e18810 [ CrossRef]
Okonkwo, N. E. [et al.], 2021. COVID-19 and the US response: accelerating health inequities. BMJ Evidence-Based Medicine, 26(4), pp. 176-179 [ CrossRef]
Ortega, G. [et al.], 2020. Telemedicine, COVID-19, and disparities: policy implications. Health Policy and Technology, 9(3), pp. 368-371 [ CrossRef]
Pentaris, P. [et al.], 2020. Older people in the context of COVID-19: A European perspective. Journal of Gerontological Social Work, 63(8), pp. 736-742 [ CrossRef]
Powell, T., Bellin, E. and Ehrlich, A. R., 2020. Older adults and Covid‐19: the most vulnerable, the hardest hit. Hastings Center Report, 50(3), pp. 61-63 [ CrossRef]
Qian, A. S. [et al.], Disparities in telemedicine during COVID‐19. Cancer medicine, 11(4), pp. 1192-1201 [ CrossRef]
Rodrigues, F., Block, S. and Sood, S., 2022. What Determines Vaccine Hesitancy: Recommendations from Childhood Vaccine Hesitancy to Address COVID-19 Vaccine Hesitancy. Vaccines, 10(1), p. 80 [ CrossRef]
Sagan, A. [et al.], A reversal of fortune: Comparison of health system responses to COVID-19 in the Visegrad group during the early phases of the pandemic. Health Policy, 126(5), pp. 446-455 [ CrossRef]
Scherpenzeel, A. [et al.], 2020. Collecting survey data among the 50+ population during the COVID-19 outbreak: The Survey of Health, Ageing and Retirement in Europe (SHARE). Survey Research Methods, 14(2), pp. 217-221 [ CrossRef]
Smolić, Š., Blaževski, N. and Fabijančić, M., 2022. Remote healthcare during the COVID-19 pandemic: findings for older adults in 27 European countries and Israel. Frontiers in Public Health, 10, pp. 921379 [ CrossRef]
Smolić, Š., Čipin, I. and Međimurec, P., 2022. Access to healthcare for people aged 50+ in Europe during the COVID-19 outbreak. European Journal of Ageing, 19(4), pp. 793-809 [ CrossRef]
Smolić, Š., Fabijančić, M. and Blaževski, N., 2023. How did fear of COVID-19 affect access to healthcare in Central and Eastern Europe? Findings from populations aged 50 or older after the outbreak. Eastern European Economics, 61(5), pp. 571-590 [ CrossRef]
Tavares, A. I., 2022. Older Europeans’ experience of unmet health care during the COVID-19 pandemic (first wave). BMC Health Services Research, 22(1), pp. 1-13 [ CrossRef]
Thaler, M. [et al.], 2020. Disruption of joint arthroplasty services in Europe during the COVID-19 pandemic: an online survey within the European Hip Society (EHS) and the European Knee Associates (EKA). Knee Surgery, Sports Traumatology, Arthroscopy, 28(6), pp. 1712-1719 [ CrossRef]
Thomas, E. E. [et al.], 2022. Building on the momentum: sustaining telehealth beyond COVID-19. Journal of Telemedicine and Telecare, 28(4), pp. 301-308 [ CrossRef]
Vinceti, M. [et al.], 2021. SARS-CoV-2 infection incidence during the first and second COVID-19 waves in Italy. Environmental research, 197, pp. 111097 [ CrossRef]
Waitzberg, R. [et al.], 2022. Balancing financial incentives during COVID-19: A comparison of provider payment adjustments across 20 countries. Health Policy, 126(5), pp. 398-407 [ CrossRef]
Wootton, R., 2001. Telemedicine. British Medical Journal, 323(7312), pp. 557-560 [ CrossRef]
Zavras, D. [et al.], 2016. Economic crisis, austerity and unmet healthcare needs: the case of Greece. BMC Health Services Research, 16, pp. 309 [ CrossRef]
Zhong, S., Huisingh‐Scheetz, M. and Huang, E. S., 2022. Delayed medical care and its perceived health impact among US older adults during the COVID‐19 pandemic. Journal of the American Geriatrics Society, 70(6), pp. 1620-1628 [ CrossRef]
|
|
June, 2024 II/2024
|