| Literature DB >> 34739574 |
Daniel G Fernández-Ávila1, Julián Barahona-Correa2, Diana Romero-Alvernia2, Sergio Kowalski3, Ana Sapag4, Antonio Cachafeiro-Vilar5, Belia Meléndez6, Carlos Pastelín7, Daniel Palleiro8, Dina Arrieta9, Gil Reyes10, Guillermo J Pons-Estel11, Jossiell Then-Báez12, Manuel F Ugarte-Gil13, Mario H Cardiel14, Nelly Colman15, Nilmo Chávez16, Paula I Burgos17, Rubén Montufar18, Sayonara Sandino19, Yurilis J Fuentes-Silva20, Enrique R Soriano21.
Abstract
The objective of our study was to describe knowledge, attitudes and practices of Latin-American rheumatology patients regarding management and follow-up of their disease during COVID-19 pandemic. A cross-sectional observational study was conducted using a digital anonymous survey. Rheumatic patients ≥ 18 years from non-English-speaking PANLAR countries were included. Our survey included 3502 rheumatic patients living in more than 19 Latin-American countries. Median age of patients was 45.8(36-55) years and the majority (88.9%) was female. Most frequently self-reported disease was rheumatoid arthritis (48.4%). At least one anti-rheumatic treatment was suspended by 23.4% of patients. Fear of contracting SARS-Cov2 (27.7%) and economic issues (25%) were the most common reasons for drug discontinuation. Self-rated disease activity increased from 30 (7-50) to 45 (10-70) points during the pandemic. Communication with their rheumatologist during the pandemic was required by 55.6% of patients, mainly by telephone calls (50.2%) and social network messages (47.8%). An adequate knowledge about COVID-19 was observed in 43% of patients. Patients with rheumatic diseases in Latin America were negatively affected by the COVID-19 pandemic. An increase in self-rated disease activity, a reduction in medication adherence, and hurdles for medical follow-up were reported. Teleconsultation was perceived as a valid alternative to in-person visits during the pandemic.Entities:
Keywords: Adherence; Behavior; COVID-19; Knowledge; Rheumatology; Telehealth
Mesh:
Substances:
Year: 2021 PMID: 34739574 PMCID: PMC8570063 DOI: 10.1007/s00296-021-05014-y
Source DB: PubMed Journal: Rheumatol Int ISSN: 0172-8172 Impact factor: 2.631
Number and percentage of rheumatic patients that responded to the survey in each country
| Country | Number (%) |
|---|---|
| Argentina | 198 (5.6) |
| Bolivia | 30 (0.9) |
| Brazil | 293 (8.4) |
| Chile | 549 (15.7) |
| Colombia | 311 (8.9) |
| Costa Rica | 90 (2.6) |
| Cuba | 46 (1.3) |
| Ecuador | 99 (2.8) |
| El Salvador | 289 (8.2) |
| Guatemala | 22 (0.6) |
| Honduras | 103 (2.9) |
| Mexico | 528 (15.1) |
| Nicaragua | 36 (1) |
| Panama | 79 (2.3) |
| Paraguay | 45 (1.3) |
| Peru | 244 (7) |
| DominicanRepublic | 156 (4.4) |
| Uruguay | 42 (1.2) |
| Venezuela | 304 (8.7) |
| Other | 38 (1.1) |
Marital status, education level and occupational data self-reported by participants (N = 3502)
| Domain | |
|---|---|
| Marital status | |
| Married | 1578 (45.1) |
| Single | 1225 (35) |
| Living with a partner–not married | 303 (8.6) |
| Widow/widower | 135 (3.8) |
| Other | 261 (7.4) |
| Education | |
| Elementary | 225 (6.4) |
| High school | 613 (17.5) |
| Technician | 648(18.5) |
| Graduate | 1457(41.6) |
| Postgraduate | 479(13.7) |
| Other | 80(2.3) |
| Occupation | |
| Student | 156(4.4) |
| Office (mostly intellectual) | 522(14.9) |
| Mostly manual chores | 147(4.2) |
| Both manual and intellectual | 362(10.3) |
| Health worker | 393(11.2) |
| Unemployed | 494(14.1) |
| Retired | 529(15.1) |
| Other | 899(25.7) |
Number and percentage of self-reported rheumatic diseases*
| Rheumatic disease | |
|---|---|
| Rheumatoid arthritis | 1694 (48.4) |
| Systemic lupus erythematosus | 1012 (28.9) |
| Sjögren’s syndrome | 384 (11) |
| Other rheumatic disease | 242 (6.9) |
| Ankylosing spondylitis | 184 (5.2) |
| Other inflammatory arthritis | 144 (4.1) |
| Psoriatic arthritis | 125 (3.6) |
| Antiphospholipid syndrome | 116 (3.3) |
| Systemic sclerosis | 98 (2.8) |
| Inflammatory myositis | 58 (1.7) |
| Other spondyloarthritis | 58 (1.7) |
| Mixed connective tissue disease | 57 (1.6) |
| Ocular inflammation | 55 (1.6) |
| Juvenile arthritis | 53 (1.5) |
| Polymyalgia rheumatica | 35 (1) |
| ANCA-associated vasculitis | 27 (0.8) |
| Undifferentiated connective tissue disease | 22 (0.6) |
| Gout | 21 (0.6) |
| Other vasculitides | 14 (0.4) |
| Behçet’s disease | 9 (0.3) |
| Giant cell arteritis | 6 (0.17) |
| IgG-4–related disease | 5 (0.1) |
| Sarcoidosis | 3 (0.08) |
*Patients could mark more than one answer
Means of communication used for medical care during the pandemic (N = 1948)
| Means of communication | |
|---|---|
| Telephone call | 978 (50.2) |
| Text messages (Whatsapp, text message, other) | 931 (47.8) |
| 314 (16.1) | |
| Telehealth | 265 (13.6) |
| Other | 161 (8.3) |
| Home medical consultation | 29 (1.5) |
Main sources of information about SARS-CoV-2 or COVID-19 pandemic used by respondents (N = 3502)
| Sources of information | |
|---|---|
| Television | 2358 (67.3) |
| Social networks (Facebook, Twitter) | 1965 (56.1) |
| Official websites (CDC, WHO) | 1776 (50.7) |
| Health worker | 1228 (35.1) |
| Radio | 661 (18.9) |
| Friends and family | 571 (16.3) |
| Newspaper | 568 (16.2) |
| Internet videos (Youtube) | 552 (15.8) |
| Non-official websites | 350 (10) |
| Other | 76 (2.2) |
Self-reported issues generated by social isolation (N = 3502)
| Issues | |
|---|---|
| Emotional issues | 2023 (57.8) |
| Issues to access to medical care or medication | 1058 (30.2) |
| Lack of communication with family members | 975 (27.8) |
| Unemployment | 790 (22.6) |
| Other | 357 (10.2) |
| Issues to obtain food or water | 209 (6) |