| Literature DB >> 35319466 |
Cícera Renata Diniz Vieira Silva1, Rayssa Horácio Lopes2, Osvaldo de Goes Bay3, Claudia Santos Martiniano4, Miguel Fuentealba-Torres5, Ricardo Alexandre Arcêncio6, Luís Velez Lapão7,8, Sonia Dias9, Severina Alice da Costa Uchoa2.
Abstract
BACKGROUND: The COVID-19 pandemic brought social, economic, and health impacts, requiring fast adaptation of health systems. Although information and communication technologies were essential for achieving this objective, the extent to which health systems incorporated this technology is unknown.Entities:
Keywords: COVID-19; digital health; gray literature; pandemic; primary health care; quality of care; science database; telehealth; telemedicine
Year: 2022 PMID: 35319466 PMCID: PMC9159467 DOI: 10.2196/35380
Source DB: PubMed Journal: JMIR Hum Factors ISSN: 2292-9495
Figure 1Flowchart of study selection for scoping review adapted from the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA).
Characteristics of the included studies.
| Reference | Source | Country | Study design | Participants/sample |
| Alexander et al [ | JAMA Network Open | United States | Cross-sectional | National audit of consultations (n=117.9 million) |
| Schweiberger et al [ | Journal of Medical Internet Research | United States | Cross-sectional | Electronic medical records (n=45) and physicians (n=121) |
| Olayiwola et al [ | JMIR Public Health Surveillance | United States | Cross-sectional | Consultation records (n=3617) |
| Atherly et al [ | JMIR Public Health Surveillance | United States | Cross-sectional | Patients (n=1694) |
| Judson et al [ | Journal of the American Medical Informatics Association | United States | Cross-sectional | Consultation records (n=1129) |
| Mills et al [ | Journal of the American Health Association | United States | Cross-sectional | Patients (n=587) |
| Tarn et al [ | Journal of the American Board of Family Medicine | United States | Cross-sectional | Medical records (n=202) |
| Adepoju et al [ | Journal of Health Care for the Poor and Underserved | United States | Cross-sectional | Health workers (n=1344) |
| Ritchie et al [ | Journal of the American Medical Directors Association | United States | Mixed methods | Health workers (n=79) |
| Drerup et al [ | Telemedicine Journal and e-Health | United States | Cross-sectional | Patients (n=65) |
| Kalicki et al [ | Journal of the American Geriatrics Society | United States | Cross-sectional | Medical records (n=873) |
| Chang et al [ | Milbank Quarterly | United States | Cross-sectional | Health workers (n=918) |
| Thies et al [ | Journal of Primary Care & Community Health | United States | Cross-sectional | Health workers (n=655) |
| Godfrey et al [ | Contraception | United States | Cross-sectional | Medical records (n=534) |
| Juarez-Reyes et al [ | Therapeutic Advances in Chronic Disease | United States | Qualitative investigation | Patients (n=6) |
| Bui et al [ | Hamilton Family Health Team | Canada | Cross-sectional | Clinicians (n=126) and nurses (n=6) |
| Mohammed et al [ | PLoS One | Canada | Cross-sectional | Clinicians (n=163) and nurses (n=37) |
| Donnelly et al [ | BMC Family Practice | Canada | Mixed methods | Health workers (n=473) |
| Castro et al [ | Revista Brasileira de Medicina da Família e da Comunidade | Brazil | Cross-sectional | Consultation records (n=329) |
| Dimer et al [ | CoDAS | Brazil | Experience report | Consultation records (n=17) |
| Queiroz et al [ | Acta Diabetologica | Brazil | Cohort | Patients (n=627) |
| Silva et al [ | Ciência e Saúde Coletiva | Brazil | Cross-sectional | Clinicians and nurses (n=7054) |
| Sahni et al [ | Cureus | England | Cross-sectional | Clinicians (n=312) |
| Leung et al [ | BMJ Open Quality | England | Intervention study | Patients (n=12) |
| Tuijt et al [ | British Journal of General Practice | England | Qualitative investigation | Patients (n=30) and caregivers (n=31) |
| Salisbury et al [ | Journal of Medical Internet Research | United Kingdom | Mixed methods | Patients (n=1452) and health workers (n=12) |
| Murphy et al [ | British Journal of General Practice | United Kingdom | Mixed methods | Medical records (n=350,966) and health workers (n=87) |
| Llamosas et al [ | Physiotherapy | Spain | Case report | Patient (n=1) |
| Coronado-Vázquez et al [ | Journal of Personalized Medicine | Spain | Cohort | Patients (n=166) |
| Morreel et al [ | PLoS One | Belgium | Cross-sectional | Home visit records (n=15,655) |
| Verhoeven et al [ | BMJ Open | Belgium | Qualitative investigation | Patients (n=132) |
| Johnsen et al [ | Journal of Medical Internet Research | Norway | Cross-sectional | Clinicians (n=1237) |
| Lapão et al [ | Journal of Medical Internet Research | Portugal | Mixed methods | Patients (n=35) |
| Florea et al [ | International Journal of General Medicine | Romania | Cross-sectional | Clinicians (n=108) |
| Mueller et al [ | JMIR Medical Informatics | Germany | Qualitative investigation | Patients (n=20) |
| Kludacz-Alessandri et al [ | PLoS One | Poland | Cross-sectional | Patients (n=100) |
| Zeltzer et al [ | National Bureau of Economic Research (NBER)/NBER Working Paper Series | Israel | Cross-sectional | Records from clinicians (n=4293) and patients (n=3.7 million) |
| Hasani et al [ | Journal of Primary Care & Community Health | Oman | Qualitative investigation | Clinicians (n=22) |
| Alharbi et al [ | Journal of Family and Community Medicine | Saudi Arabia | Cross-sectional | Patients (n=439) |
| Jannati et al [ | International Journal of Medical Informatics | Iran | Cross-sectional | Patients (n=400) |
| Isautier et al [ | Journal of Medical Internet Research | Australia | Cross-sectional | Patients (n=596) |
| Javanparast et al [ | BMC Family Practice | Australia | Qualitative investigation | Patients (n=30) |
| Ervin et al [ | Australian Journal of Primary Health | Australia | Cross-sectional | Clinicians (n=24) |
| Imlach et al [ | BMC Family Practice | New Zealand | Mixed methods | Patients (n=1010) |
Figure 2Distribution of countries that used digital strategies in primary health care. Numbers represent the number of studies performed in each country.
Figure 3Word cloud with nomenclatures used to refer to digital strategies in primary health care.
Figure 4Characteristics of remote strategies in primary health care.