| Literature DB >> 35321612 |
Ana Carolina Carneiro1,2, Guilherme S de Pinho1, José Victor Belo1, Sabine Bolonhini1, Manuel B Carneiro Neto1, Adriana Mallet Toueg1, Arthur Gustavo Fernandes1,2.
Abstract
PURPOSE: Telehealth plays an important role on the combat of COVID-19. In this context, the SAS Brasil telemedicine program became a viable option in Brazil, where the population faced challenging access to healthcare services during the pandemics. In this study, we describe the sociodemographic profile, reasons for enrollment, outcomes of consultation, and satisfaction of participants who received telemedicine consultations through the SAS program.Entities:
Keywords: NPS; satisfaction; telemedicine; vulnerable populations
Year: 2022 PMID: 35321612 PMCID: PMC8948534 DOI: 10.1177/1357633X221089151
Source DB: PubMed Journal: J Telemed Telecare ISSN: 1357-633X Impact factor: 6.184
Sociodemographic characteristics from the evaluated population.
| Characteristic | N (%) |
|---|---|
| Sex | |
| Male | 1979 (30.49) |
| Female | 4511 (69.51) |
| Age | |
| 0–20 | 1432 (22.06) |
| 21–40 | 2649 (40.82) |
| 41–60 | 1794 (27.64) |
| 61–80 | 534 (8.23) |
| 80 + | 81 (1.25) |
| Race | |
| Mixed | 2925 (45.07) |
| White | 2206 (33.99) |
| Black | 1129 (17.39) |
| Yellow | 175 (2.70) |
| Indigenous | 55 (0.84) |
| Origin (Brazilian States) | |
| Rio de Janeiro (RJ) | 3766 (58.03) |
| Rio Grande do Norte (RN) | 1212 (18.67) |
| São Paulo (SP) | 1142 (17.60) |
| Other states | 370 (5.70) |
| Monthly household Income (USD) | |
| $0–$100 | 1613 (24.85) |
| $101–$200 | 1302 (20.06) |
| $201–$300 | 1535 (23.65) |
| $301–$400 | 815 (12.56) |
| $401–$500 | 467 (7.20) |
| $501–$600 | 267 (4.11) |
| $601 or more | 242 (3.73) |
| Not informed | 249 (3.84) |
| Number of people living in the house | |
| 0–5 | 5909 (91.05) |
| 6–10 | 489 (7.53) |
| 11 or more | 92 (1.42) |
| Total | 6490 (100.00) |
Reason for consultation.
| Symptoms | N (%) |
|---|---|
| Mental health disorders | 9157 (40.40) |
| Respiratory disorders | 8109 (35.78) |
| Nutritional disorders | 1029 (4.54) |
| Dermatology disorders | 923 (4.07) |
| Orthopedic disorders | 438 (1.93) |
| Gynecology disorders | 420 (1.85) |
| Gastrointestinal disorders | 408 (1.80) |
| Speech Pathology disorders | 394 (1.74) |
| Ophthalmology disorders | 385 (1.70) |
| Cardiovascular disorders | 318 (1.40) |
| Other | 1083 (4.78) |
|
|
|
Figure 1.Frequency of mental health, respiratory, and other specialties along with the studied period.
Consultation outcomes.
| Outcomes | N (%) |
|---|---|
| Final outcomes | N = 6312 | |
| Discharged | 6059 (95.99) |
| Referral presential | 253 (4.01) |
| Overall outcomes | N = 6490 | |
| Discharged | 6059 (93.36) |
| Under care | 178 (2.74) |
| Referral presential | 253 (3.90) |
Satisfaction outcomes.
| Variable | Results | Response Rate % |
|---|---|---|
| Chance of recommending for family/friends | 71.05 | |
| 9 or 10 (Promoters) | 2503 (96.23) | |
| 7 or 8 (Passives) | 86 (3.31) | |
| 6 or less (Detractors) | 12 (0.46) | |
| Would use the service once again if needed | 69.35 | |
| Yes | 2519 (99.21) | |
| No | 20 (0.79) | |
| Consider the issue was resolved | 67.77 | |
| Yes | 2227 (89.76) | |
| No | 254 (10.24) |