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Vol. 98. Issue 1.
Pages 47-58 (1 January 2023)
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Vol. 98. Issue 1.
Pages 47-58 (1 January 2023)
Original Article
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Psoriasis in teledermatology: analysis of the 2016‒2020 period in Santa Catarina
Visits
4030
Maria Laura Orlandi Demoa,
Corresponding author
lauradermatol@gmail.com

Corresponding author.
, Daniel Holthausen Nunesb, Chaiana Esmeraldino Mendes Marcona
a Faculty of Medicine, Universidade do Sul de Santa Catarina, Tubarão, SC, Brazil
b Service of Dermatology, Hospital Universitário Polyodoro Ernani de São Thiago, Universidade Federal de Santa Catarina, Florianópolis, SC, Brazil
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Abstract
Background

Psoriasis is a skin disease that affects 1.3% of Brazilians. The use of teledermatology (TD) in the public health sector has democratized access to dermatological care.

Objective

To analyze TD exams with suspected and/or diagnosed psoriasis performed between 2016‒2020 in the state of Santa Catarina (SC).

Methods

Analytical cross-sectional observational study that used secondary data collected from the records of TD exams from the Telemedicine and Telehealth System (TTS) of SC. The associations were evaluated by the chi-square test and Student'st test. The significance level was set at 5% (p < 0.05).

Results

During the period, 6,146 TD exams were related to psoriasis, 58% due to the diagnosis provided by the reporting dermatologist and 42% exclusively due to the suspected disease on the request of the examination. The male sex predominated among the diagnoses of dermatosis (51%; p < 0.001). Regarding risk classification, psoriasis diagnoses were predominantly yellow (58.7%; p < 0.001) or blue (39.7%; p < 0.001) risk, respectively indicating moderate to severe psoriasis (referral to tertiary care) and mild psoriasis (treatment in the primary health care [PHC] level). True positive tests, suspected by PHC and diagnosed with psoriasis through TD, were 34.1% (p < 0.001).

Study limitations

The TD service is available only for the public health network and analysis for a limited period (five years).

Conclusions

Psoriasis diagnoses performed by TD, when compared to other dermatoses, tend to receive treatment at the primary (p < 0.001) or tertiary (p < 0.001) health care level, reducing the number of referrals to the secondary care level.

Keywords:
Dermatology
Psoriasis
Public health
Teledermatology
Telemedicine
Full Text
Introduction

Psoriasis occurs globally1,2 and affects approximately 125 million people worldwide.3 In Western countries, it affects 1.5 to 2% of the population1 and it is estimated to affect 1.3% of Brazilians.2,4 It is a common, non-contagious,2 immunoinflammatory, chronic, and recurrent disease with cutaneous and articular involvement,5 the diagnosis of which is mainly clinical.2,6

Teledermatology (TD) is considered a modality of Dermatology that applies information and communication technologies to remotely diagnose, monitor, treat, prevent, research, and educate.7 In the last decade, there has been a rapid growth of TD, with the expansion of its use in different care environments.8 It has been observed that it is one of the most important and employed categories of telemedicine, providing an excellent alternative to in-person dermatological consultations, with the use of electronic tools, which facilitate the provision of health care between clients and providers.7

The visual nature of dermatological practice makes it well suited for telemedicine care,9,10 therefore TD increases access to high-quality dermatological care while maintaining clinical accuracy and adequate cost-effectiveness.8,9 Moreover, TD democratizes access to specialized medicine, as it reaches populations in remote areas or areas lacking dermatologists, reduces long waiting periods for consultations, increases the number of assessed patients, and allows a faster diagnosis and treatment.7 Therefore, in countries with poor health access, such as Brazil, the use of TD is relevant, mainly due to its efficiency and direct connection with primary care.

The state of Santa Catarina (SC) is a national reference in TD services, 100% of its territory is covered by this technology – which has been expanding since 2018 to the entire country, after the choice of TD in SC by the Ministry of Health as the model to be implemented at a national level.11 From 2005 to November 2019, more than 130,000 TD exams were performed in the state.12 The differential of TD in the state of Santa Catarina is the development of the service based not only on screening and diagnosis but also on the integration of processes, protocols, and adequate technology at the central coordination and in the 286 TD examination services.13 Between January 2014 and June 2018, 33,112 patients were no longer referred to other centers but received treatment at the primary care level with clinical management supported by TD, thus preventing long waiting periods for consultations, traveling to other locations – often distant ones – and reducing costs.13 Therefore, it has been verified that TD contributes to the resolution of dermatological cases in primary care,13 in addition to collaborating with the educational training of general practitioners at this level of health care.10

In dermatological consultations carried out through the Unified Health System (SUS, Sistema Único de Saúde) in Brazil, one of the most frequent care demands is for psoriasis – especially in the Southern Region,14 which demonstrates the importance of the public dermatology service for the diagnosis and treatment of this dermatosis. Thus, primary care physicians must be competent to identify this common skin condition, and patients must receive health care compatible with the severity of their disease. Hence, TD in the state of SC contributes to efficient management of this disease, by screening patients according to their risk classification, so that moderate and severe conditions are promptly referred, while milder cases are treated at the Basic Health Unit (BHU), with clinical recommendations being provided by the dermatologist issuing the exam report.15

The aim of the present study was to analyze the TD exams with suspicion and/or diagnosis of psoriasis performed between the years 2016 and 2020 in the state of SC.

MethodsStudy type

This is an observational, cross-sectional analytical study, with secondary data being collected from the records of TD exams from the Telemedicine and Telehealth System (TTS) of the state of SC.

Study population

The study population comprises the TD exams in the state of SC carried out through the TTS, between January 2016 and December 2020, which had psoriasis as a diagnostic hypothesis in the exam request and/or psoriasis diagnosis in the report.

Context and operability

The state of SC is divided into seven macroregions, which were considered by the study aiming to assess regional differences. They are Itajaí River Mouth, Great Florianópolis, Great Western, Midwestern and Santa Catarina Mountain Range, Northern/Northeastern Plateau, Southern, and Itajaí valley.

The TTS TD service follows standardized protocols and processes for requesting exams and issuing reports,13 both described in manuals provided to system users. Only registered BHU physicians and healthcare professionals can submit examination requests.15,16

It encompasses an asynchronous (store-and-forward) system. Thus, the basic flow of dermatology telediagnosis in SC follows some basic steps:15–17 the patient has an appointment with a physician from the BHU who requests the dermatological exam, then a professional from the BHU – usually a nurse – performs the exam and sends the images captured with a camera and dermatoscope, of up to three lesions, to the TTS electronic site. A dermatologist then analyzes the case and issues the report (with the risk classification and guidelines for clinical management). The information generated by the physician who issued the report can be viewed by the requesting physician and by the patient on the TTS site. The examination request also contains the diagnostic suspicion of the BHU physician, which includes four possibilities: skin cancer, leprosy, psoriasis and other dermatoses. As of the year 2020, the diagnostic hypothesis options have been restricted to two: skin cancer and other dermatoses.15,16

The risk classification used in the report includes five categories, which are defined according to the condition severity and support the clinical management: White - no need for intervention or follow-up; Blue - treatment at the BHU (according to the suggested dermatological conduct); Green - clinical-surgical evaluation with a specialist; Yellow – priority cases (refer to tertiary care); and Red – acute cases (refer to the Emergency Unit).18

Data collection and analysis

Data, owned by the TTS and with restricted access, were collected through the Saiku-BI platform (open source license), which allows consultation of the records of TD exams. The database was created using Microsoft Office Excel software and the statistical analysis was performed using IBM SPSS Statistics software, version 20.0. Quantitative variables were described as measures of central tendency and dispersion, whereas qualitative variables were described as absolute (n) and relative (%) frequencies.

Tests that showed suspected and diagnosis of psoriasis were considered true positive ones, with the suspicion being provided by primary care when requesting the exam, and the diagnosis attributed by TD in the report. Thus, this parameter was verified directly on the Saiku-BI platform, using its cross-filtering of data.

The associations were evaluated using the chi-square test and Student's t test and the significance level was established at 5% (p < 0.05).

Ethical aspects

The research project was approved by the Research Ethics Committee of Universidade do Sul de Santa Catarina – UNISUL (Counsel N. 4,283,737) and the state of Santa Catarina Health Secretariat – ​​SES/SC (Counsel N. 4,312,746), after waiver of the Free and Informed Consent Form (FICF).

Results

During the period from 2016 to 2020, 141,657 TD exams were requested in SC. Of these, 4.3% were related to psoriasis, that is, 6,146 exams, with 58% (n = 3,566) due to the diagnosis provided by the dermatologist who issued the report and 42% (n = 2,580) due to the suspected disease when requesting the exam, which is determined by the BHU physician.

Males predominated among patients diagnosed with psoriasis (51%; n = 1,820), while females were the majority among suspected cases without a diagnosis of this dermatosis (54.8%; n = 1,415) and in the total number of exams (51.4%; n = 3,161); p < 0.001.

The mean age of patients was 46.9 ± 17.9 years. However, patients diagnosed with psoriasis had an older mean age (48.1 ± 16.6), when compared with cases suspected of psoriasis (45.3 ± 19.4); p < 0.001. When analyzing the age groups, differences were also observed: psoriasis diagnoses predominated between 31 to 49 years (31.4%; n = 1,118; p = 0.003) and between 50 to 60 (26%; n = 927; p < 0.001). The majority of suspected cases without a final diagnosis of psoriasis were in the age group ≤ 19 years (12.8%; n = 331; p < 0.001). There was no difference in the age groups of 20 to 30 and ≥ 61 years, with p = 0.906 and p = 0.887, respectively.

Phototype III predominate in the total of patients, with 42.3% of the exams (n = 2,599); p = 0.030.

When analyzing the seven macroregions of SC, it was observed that the Great Florianópolis macroregion had more exams related to psoriasis in the assessed period (30.2%; n = 1,859), followed by the Itajaí valley (17.6%; n = 1,084) and the Southern (14.1%; n = 866) macroregions. When comparing the diagnostic exams and those only suspected of psoriasis, Greater Florianópolis also had the highest number of diagnoses of this dermatosis (35.3%; n = 1,258; p < 0.001). On the other hand, suspected cases without a final diagnosis of psoriasis were the majority in the Itajaí River Mouth (5.6%; n = 144; p < 0.001), Northern/Northeastern Plateau (13.3%; n = 343; p = 0.037), Southern (16%; n = 414; p < 0.001) and Vale do Itajaí (20%; n = 516; p < 0.001) macroregions. There was no difference between the number of diagnoses and suspected cases between the Great Western (p = 0.514), Midwestern and Santa Catarina Mountain Range macroregions (p = 0.805).

Table 1 depicts the distribution of epidemiological characteristics.

Table 1.

Epidemiological characteristics of patients with suspected and/or diagnosed psoriasis in TD exams in SC, 2016‒2020.

  Diagnosis of psoriasis  Suspected without confirmed of psoriasis  Total  p-value 
  (n = 3566)  (n = 2580)  (n = 6146)   
Sex        < 0.001a 
Female  49% (n = 1746)  54.8% (n = 1415)  51.4% (n = 3161)   
Male  51% (n = 1820)  45.2% (n = 1165)  48.6% (n = 2985)   
Age (years)        < 0.001b 
Mean ± SD  48.1 ± 16.6  45.3 ± 19.4  46.9 ± 17.9   
Age range        < 0.001a 
≤19 years  4.8% (n = 171)  12.8% (n = 331)  8.2% (n = 502)  < 0.001a 
20‒30 years  12.8% (n = 457)  12.7% (n = 328)  12.8% (n = 785)  0.906a 
31‒49 years  31.4% (n = 1118)  27.8% (n = 717)  29.9% (n = 1835)  0.003a 
50‒60 years  26% (n = 927)  21.8% (n = 562)  24.2% (n = 1489)  < 0.001a 
≥61 years  25% (n = 893)  24.9% (n = 642)  25% (n = 1535)  0.887a 
Phototype        0.030a 
5.2% (n = 184)  5.9% (n = 152)  5.5% (n = 336)   
II  20.3% (n = 724)  21% (n = 543)  20.6% (n = 1267)   
III  44.1% (n = 1572)  39.8% (n = 1027)  42.3% (n = 2599)   
IV  21.1% (n = 751)  22.7% (n = 585)  21.7% (n = 1336)   
7.8% (n = 277)  8.8% (n = 228)  8.2% (n = 505)   
VI  1.6% (n = 58)  1.7% (n = 45)  1.7% (n = 103)   
Macroregion         
Itajai River Mouth  2.1% (n = 75)  5.6% (n = 144)  3.6% (n = 219)  < 0.001a 
Great Florianópolis  35.3% (n = 1258)  23.3% (n = 601)  30.2% (n = 1859)  < 0.001a 
Great Western  9.8% (n = 348)  9.3% (n = 239)  9.6% (n = 587)  0.514a 
Midwestern and Santa Catarina Mountain Range  12.7% (n = 454)  12.5% (n = 323)  12.6% (n = 777)  0.805a 
Northern/Northeastern plateau  11.5% (n = 411)  13.3% (n = 343)  12.3% (n = 754)  0.037a 
Southern  12.7% (n = 452)  16% (n = 414)  14.1% (n = 866)  < 0.001a 
Itajaí valley  15.9% (n = 568)  20% (n = 516)  17.6% (n = 1084)  < 0.001a 
a

Pearson’s Chi-square.

b

Student’s t.

The Body Mass Index (BMI) classification – Table 2 – was determined for adult patients (n = 5,645), excluding patients aged < 20 years due to the inadequacy of this type of classification for this age group. The distribution of underweight, overweight and the three degrees of obesity was similar between the groups. However, a healthy weight predominated among the suspected cases without a final diagnosis of psoriasis (29.9%; n = 673; p = 0.023).

Table 2.

Body Mass Index (BMI) classification of patients aged ≥20 years with suspected and/or diagnosed psoriasis in TD exams in SC, 2016‒2020.

BMI classification  Diagnosis of psoriasis  Suspected without a final diagnosis of psoriasis  Total  p-valuea 
  (n = 3,394)  (n = 2,251)  (n = 5,645)   
Low weight  1.6% (n = 56)  1.6% (n = 37)  1.6% (n = 93)  0.986 
Healthy weight  27.1% (n = 920)  29.9% (n = 673)  28.2% (n = 1593)  0.023 
Overweight  35.6% (n = 1208)  36% (n = 811)  35.8% (n = 2019)  0.738 
Obesity grade 1  21.9% (n = 743)  20.2% (n = 455)  21.2% (n = 1198)  0.131 
Obesity grade 2  9.3% (n = 315)  8.2% (n = 185)  8.9% (n = 500)  0.169 
Obesity grade 3  4.4% (n = 151)  4% (n = 90)  4.3% (n = 241)  0.412 
a

Pearson’s chi-square.

When requesting the TD exam, information regarding habits (smoking and alcohol consumption), comorbidities (diabetes mellitus - DM, systemic arterial hypertension - SAH, congestive heart failure - CHF and others) and infections (hepatitis B and C, human immunodeficiency virus – HIV and others) were also collected, as shown in Table 3. Absence of smoking and alcohol consumption were more frequent among suspected cases of psoriasis, with 62.7% (n = 1,617; p < 0.001) and 64 .5% (n = 1,665; p < 0.001) respectively. While among those diagnosed with psoriasis, there were more ex-smokers (24%; n = 855; p < 0.001), smokers (22.2%; n = 791; p < 0.001) and alcohol consumption: monthly (18.9%; n = 674; p < 0.001), 2 to 3 times/week (5.4%; n = 192; p = 0.045) and ≥ 4 times/week (3.7%; n = 132; p < 0.001). The distribution of comorbidities and infections was similar between the groups, except for DM, which was more frequently reported among psoriasis patients (10.3%; n = 367, p = 0.035).

Table 3.

Habits, comorbidities and infections in patients with suspected and/or diagnosed psoriasis in TD exams in SC, 2016–2020.

  Diagnosis of psoriasis  Suspected without a diagnosis of psoriasis  Total  p-valuea 
  (n = 3,566)  (n = 2,580)  (n = 6,146)   
Smoking         
Never smoked  53.8% (n = 1920)  62.7% (n = 1617)  57.5% (n = 3537)  < 0.001 
Ex-smoker  24% (n = 855)  19.6% (n = 505)  22.1% (n = 1360)  < 0.001 
Smoker  22.2% (n = 791)  17.8% (n = 458)  20.3% (n = 1249)  < 0.001 
Alcohol consumption         
Never  57.1% (n = 2035)  64.5% (n = 1665)  60.2% (n = 3700)  < 0.001 
Monthly  18.9% (n = 674)  14.8% (n = 382)  17.2% (n = 1056)  < 0.001 
2-4 times/month  14.9% (n = 532)  14.5% (n = 373)  14.7% (n = 905)  0.614 
2-3 times/week  5.4% (n = 192)  4.3% (n = 110)  4.9% (n = 302)  0.045 
≥4 times/week  3.7% (n = 132)  1.9% (n = 50)  3% (n = 182)  < 0.001 
Comorbidity  31.3% (n = 1115)  29.5% (n = 762)  30.5% (n = 1877)  0.146 
Dyslipidemia  10.5% (n = 373)  11.2% (n = 288)  10.8% (n = 661)  0.380 
DM  10.3% (n = 367)  8.7% (n = 224)  9.6% (n = 591)  0.035 
SAH  25.3% (n = 903)  24.1% (n = 623)  24.8% (n = 1526)  0.293 
CHF  1.6% (n = 58)  1.4% (n = 37)  1.5% (n = 95)  0.546 
Other comorbidities  8.5% (n = 303)  8% (n = 207)  8.3% (n = 510)  0.506 
Infection  1.7% (n = 62)  2% (n = 51)  1.8% (n = 113)  0.493 
Hepatitis B  0.7% (n = 25)  0.5% (n = 12)  0.6% (n = 37)  0.238 
Hepatitis C  0.7% (n = 25)  0.8% (n = 20)  0.7% (n = 45)  0.737 
HIV  0.4% (n = 16)  0.7% (n = 19)  0.6% (n = 35)  0.139 
Other infections  0.5% (n = 19)  0.4% (n = 11)  0.5% (n = 30)  0.555 

DM (Diabetes mellitus), SAH (systemic arterial hypertension) and HIV (Human immnunodeficiency virus).

a

Pearson’s chi-square.

The number of exams related to psoriasis increased from 2016 with 19.2% of the total (n = 1,182) to 2019 (27.4%; n = 1,683), but it showed a sharp decreased in 2020 (7.2%; n = 444); p < 0.001. Most of the exams concomitantly evaluated two skin lesions (39.3%; n = 2,414; p < 0.001). Among the cases diagnosed with psoriasis, the diagnostic suspicion most frequently attributed by the BHU physician was psoriasis, in 58.7% of the cases (n = 2,093), but other dermatoses (39.2%; n = 1,399), skin cancer (1.7%; n = 62) and leprosy (0.4%; n = 13) were also suspected.

Psoriasis lesions were most frequent on the scalp (11.6%; n = 413; p = 0.035), posterior thorax (6.6%; n = 237; p = 0.002), abdomen (11.7%; n = 417; p < 0.001), posterior arm (14.6%; n = 521; p < 0.001), posterior forearm (23.2%; n = 828; p < 0.001), lumbar region (10.6%; n = 379; p < 0.001), anterior thigh (13.9%; n = 495; p < 0.001), posterior thigh (4.7%; n = 166; p < 0.001) and anterior leg (28.8%; n = 1,027; p < 0.001). In total, the most reported lesion distribution was localized in 76.9% of the exams (n = 4,725; p < 0.001). Patients with a final diagnosis of psoriasis had predominantly disseminated (23.4%; n = 833; p < 0.001) and generalized (3.6%; n = 129; p < 0.001), lesions, while the suspected cases had mostly single (11.1%; n = 286; p < 0.001) or localized lesions (80.2%; n = 2,068; p < 0.001).

Patients with a final diagnosis of psoriasis reported pruritus in 15.3% of the cases (n = 546; p < 0.001), a positive personal medical history in 3.4% (n = 120) and family history in 3.3% (n = 118); p < 0.001. Clinical information and the year of the TD exam request are shown in Table 4.

Table 4.

Clinical information and year of TD exam request of patients with suspected and/or diagnosed psoriasis, SC, 2016‒2020.

  Diagnosis of psoriasis  Suspected without confirmed diagnosis of psoriasis  Total  p-valuea 
  (n = 3,566)  (n = 2,580)  (n = 6,146)   
Year        < 0.001 
2016  17.3% (n = 618)  21.9% (n = 564)  19.2% (n = 1182)   
2017  21.1% (n = 753)  20% (n = 516)  20.6% (n = 1269)   
2018  23.7% (n = 845)  28% (n = 723)  25.5% (n = 1568)   
2019  25.5% (n = 910)  30% (n = 773)  27.4% (n = 1683)   
2020  12.3% (n = 440)  0.2% (n = 4)  7.2% (n = 444)   
Number of sites with analyzed lesion        < 0.001 
One (1)  32.1% (n = 1143)  46.3% (n = 1194)  38% (n = 2337)   
Two (2)  40.4% (n = 1439)  37.8% (n = 975)  39.3% (n = 2414)   
Three (3)  27.6% (n = 984)  15.9% (n = 411)  22.7% (n = 1395)   
Body location         
Scalp  11.6% (n = 413)  9.9% (n = 255)  10.9% (n = 668)  0.035 
Face  5.8% (n = 207)  8.4% (n = 217)  6.9% (n = 424)  < 0.001 
Ear  3.8% (n = 137)  3.1% (n = 79)  3.5% (n = 216)  0.101 
Anterior cervical region  0.5% (n = 18)  1.4% (n = 35)  0.9% (n = 53)  < 0.001 
Posterior cervical region  5% (n = 178)  5.1% (n = 131)  5% (n = 309)  0.879 
Anterior thorax  6.5% (n = 232)  5.9% (n = 153)  6.3% (n = 385)  0.358 
Posterior thorax  6.6% (n = 237)  4.8% (n = 124)  5.9% (n = 361)  0.002 
Abdomen  11.7% (n = 417)  7.1% (n = 182)  9.7% (n = 599)  < 0.001 
Anterior arm  4.5% (n = 161)  6.1% (n = 157)  5.2% (n = 318)  0.006 
Posterior arm  14.6% (n = 521)  9% (n = 231)  12.2% (n = 752)  < 0.001 
Anterior forearm  7% (n = 249)  8.3% (n = 213)  7.5% (n = 462)  0.062 
Posterior forearm  23.2% (n = 828)  15.5% (n = 400)  20% (n = 1228)  < 0.001 
Dorsum of hand  5.7% (n = 203)  10% (n = 258)  7.5% (n = 461)  < 0.001 
Hand (palm)  7.9% (n = 281)  10.6% (n = 274)  9% (n = 555)  < 0.001 
Lumbar area  10.6% (n = 379)  4.6% (n = 118)  8.1% (n = 497)  < 0.001 
Gluteal region  2.8% (n = 101)  2.6% (n = 66)  2.7% (n = 167)  0.514 
Genital/Inguinal region  0.8% (n = 29)  0.8% (n = 21)  0.8% (n = 50)  0.998 
Anterior thigh  13.9% (n = 495)  9.9% (n = 255)  12.2% (n = 750)  < 0.001 
Posterior thigh  4.7% (n = 166)  2.9% (n = 75)  3.9% (n = 241)  < 0.001 
Anterior leg  28.8% (n = 1027)  20.3% (n = 525)  25.3% (n = 1552)  < 0.001 
Posterior leg  5.4% (n = 192)  5.2% (n = 133)  5.3% (n = 325)  0.692 
Dorsum of foot  6.7% (n = 240)  12.1% (n = 313)  9% (n = 553)  < 0.001 
Foot (plantar region)  4.6% (n = 163)  6.3% (n = 162)  5.3% (n = 325)  0.003 
Distribution of lesions         
Single  5.4% (n = 191)  11.1% (n = 286)  7.8% (n = 477)  < 0.001 
Localized  74.5% (n = 2657)  80.2% (n = 2068)  76.9% (n = 4725)  < 0.001 
Disseminated  23.4% (n = 833)  11.5% (n = 296)  18.4% (n = 1129)  < 0.001 
Generalized  3.6% (n = 129)  1.6% (n = 41)  2.8% (n = 170)  < 0.001 
a

Pearson’s chi-square.

Disease duration was reported in only 639 (17.9%) tests diagnosed with psoriasis. Of these, 45.7% (n = 292) had an evolution of one to five years, 20.7% (n = 132) of one to six months, 17.2% (n = 110) of six to ten years, 11.4% (n = 73) of 20 years or longer, 7.5% (n = 48) of 11 to 19 years, 7.2% (n = 46) of less than four weeks and 4.2% (n = 27) of seven to 11 months. It is noteworthy that the exam request could convey a different time of evolution for each assessed lesion; therefore, more than one temporal range was indicated in some exams.

Regarding the main risk classification (most severe on the exam), psoriasis diagnoses were predominantly yellow (58.7%; n = 2,095; p < 0.001) and blue (39.7%; n = 1,416; p < 0.001), which respectively indicate referral to an outpatient clinic for severe psoriasis and treatment at the BHU; of these, only 1.5% (n = 55) received a green classification. While the suspected cases, but without a final diagnosis of the dermatosis, were mostly green (72.6%; n = 1,873; p < 0.001), that is, referred to secondary care. Also among the suspected cases of psoriasis, 91 exams (3.5%; p < 0.001) were classified as white (no need for medical intervention) and three (0.1%; p = 0.042) as red – requiring immediate referral to the emergency unit. Most of the reports (95.1% of the total; n = 5,842) provided only one diagnosis/conclusion.

Psoriasis severity was defined as mild in 41.3% of reports (n = 1,472) and moderate to severe in 11.2% (n = 400), being undetermined in 48% (n = 1,711). Psoriasis was diagnosed in association with another dermatosis or diagnosis/conclusion in 4.9% (n = 173); in this case, with the majority also referred to general dermatology (1.3%; n = 45; p < 0.001) and in 0.2% (n = 8; p < 0.001) to phototherapy. Other skin diseases diagnosed concomitantly with psoriasis were, for example: chronic photodamage (0.4%; n = 14; p = 0.001), melanocytic nevus (0.3%; n = 11; p = 0.119), seborrheic dermatitis (0.3%; n = 10; p < 0.001), seborrheic keratosis (0.3%; n = 12; p = 0.650) and tinea (0.3%; n = 11; p < 0.001).

Regarding suspected cases without a final diagnosis of psoriasis, 62.8% (n = 1,619) were referred to general dermatology and 5.3% (n = 138) to pediatric dermatology. The most frequently diagnosed dermatoses in cases without confirmed psoriasis were: contact dermatitis (5.3%; n = 137; p < 0.001), xerosis cutis (4.7%; n = 121; p < 0.001), seborrheic dermatitis (3.4%; n = 89; p < 0.001), atopic dermatitis (3.2%; n = 83; p < 0.001), tinea (2.8%; n = 73; p < 0.001), chronic photodamage (1.1%; n = 29; p = 0.001), stasis eczema (0.9%; n = 22; p < 0.001), pityriasis versicolor (0.6%; n = 16; p < 0.001) and impetigo (0.5%; n = 14; p < 0.001).

Non-melanoma skin cancer, basal cell carcinoma (BCC) or squamous cell carcinoma (SCC), was diagnosed in 0.2% (n = 8) of patients with psoriasis and in 0.5% (n = 12) of patients with suspected psoriasis (p = 0.102). There was also a diagnosis of melanoma in a patient diagnosed with psoriasis (0.02%; n = 1; p = 0.395). The conclusions of the TD reports are shown in Table 5.

Table 5.

Conclusion of the TD exam report in patients with suspected and/or diagnosed psoriasis, SC, 2016‒2020.

  Diagnosis of psoriasis  Suspected without a final diagnosis of psoriasis  Total  p-valuea 
  (n = 3,566)  (n = 2,580)  (n = 6,146)   
Main risk classification         
White  0% (n = 0)  3.5% (n = 91)  1.5% (n = 91)  < 0.001 
Blue  39.7% (n = 1416)  19.1% (n = 493)  31.1% (n = 1909)  < 0.001 
Green  1.5% (n = 55)  72.6% (n = 1873)  31.4% (n = 1928)  < 0.001 
Yellow  58.7% (n = 2095)  4.7% (n = 120)  36% (n = 2215)  < 0.001 
Red  0% (n = 0)  0.1% (n = 3)  0.05% (n = 3)  0.042 
Number of diagnoses        0.160 
One (1)  94.6% (n = 3374)  95.7% (n = 2468)  95.1% (n = 5842)   
Two (2)  5.1% (n = 183)  4.2% (n = 108)  4.7% (n = 291)   
Three (3)  0.3% (n = 9)  0.2% (n = 4)  0.2% (n = 13)   
Diagnosis of psoriasis  100% (n = 3566)  0% (n = 0)  58% (n = 3566)  < 0.001 
Mild  41.3% (n = 1472)  0% (n = 0)  24% (n = 1472)  < 0.001 
Moderate to severe  11.2% (n = 400)  0% (n = 0)  6.5% (n = 400)  < 0.001 
Undefined severity  48% (n = 1711)  0% (n = 0)  27.8% (n = 1711)  < 0.001 
Diagnosis of psoriasis associated with another dermatosis/diagnosis  4.9% (n = 173)  0% (n = 0)  2.8% (n = 173)  < 0.001 

*Main risk classification: White – no need for intervention or follow-up; Blue - treatment at the BHU; Green – clinical-surgical evaluation with a specialist; Yellow – priority cases (refer to tertiary care); and Red – acute cases (refer to the Emergency Unit).

a

Pearson’s chi-square.

The number of true positive tests was estimated, as shown in Table 6, by comparing the diagnostic hypothesis of the BHU physician versus the diagnosis of TD. From 2016 to 2020, 34.1% of the exams were true positive ones (n = 2,097; p < 0.001). The year 2017 reached the highest frequency regarding this parameter, with 41.4% (n = 526; p < 0.001); in turn, 2020 had the lowest frequency (1.6%; n = 7; p < 0.001). Great Florianópolis was the macroregion with the highest number of true positive exams (42.4%; n = 788; p < 0.001), while Itajaí River Mouth had the lowest (19.6%; n = 43; p < 0.001). Regarding the risk classification, there was a higher occurrence of yellow (59%; n = 1,307; p < 0.001) and blue cases (40%; n = 764; p < 0.001).

Table 6.

True positive exams by year, macroregion and risk classification, SC, 2016‒2020.

  True positive exams  p-valuea 
Year     
2016  26.8% (n = 435)  0.030 
2017  41.4% (n = 526)  < 0.001 
2018  39.3% (n = 616)  < 0.001 
2019  30.5% (n = 513)  < 0.001 
2020  1.6% (n = 7)  < 0.001 
Total in the period  34.1% (n = 2097)  < 0.001 
Macroregion     
Itajai River Mouth  19.6% (n = 43)  < 0.001 
Great Florianópolis  42.4% (n = 788)  < 0.001 
Great Western  30.8% (n = 181)  0.078 
Midwestern and Santa Catarina Mountain Range  35.1% (n = 273)  0.523 
Northern/Northeastern plateau  27.2% (n = 205)  < 0.001 
Southern  32% (n = 277)  0.153 
Itajaí valley  30.4% (n = 330)  0.005 
Risk classification     
White  0% (n = 0)  < 0.001 
Blue  40% (n = 764)  < 0.001 
Green  1.3% (n = 26)  < 0.001 
Yellow  59% (n = 1307)  < 0.001 
Red  0% (n = 0)  0.212 

*Risk classification: White – no need for intervention or follow-up; Blue – treatment at the BHU; Green – clinical-surgical evaluation with a specialist; Yellow – priority cases (refer to tertiary care); and Red – acute cases (refer to the Emergency Unit).

a

Pearson’s chi-square.

The clinical and epidemiological factors were compared among the seven macroregions of Santa Catarina in Table 7. It can be observed that the Northern/Northeastern Plateau region had more exams performed in male patients (52.5%; n = 396; p = 0.020), while the others macroregions showed no significant difference between the sexes. Regarding age, the youngest mean age was observed in the Great Western region (44.9 ± 19.1 years; p = 0.004) and the oldest in the Great Florianópolis macroregion (48.7 ± 16.9 years; p < 0.001).

Table 7.

Macroregion according to clinical and epidemiological factors of TD exams in patients with suspected and/or diagnosed psoriasis, SC, 2016-2020.

  Itajai River Mouth (n = 219)  Great Florianópolis (n = 1859)  Great Western (n = 587)  Midwestern and Santa Catarina Mountain Range (n = 777)  Northern/Northeastern plateau (n = 754)  Southern (n = 866)  Itajaí valley (n = 1084) 
Sex               
Female  49.3% (n = 108)  53% (n = 986)  48.6% (n = 285)  53% (n = 412)  47.5% (n = 358)  51.7% (n = 448)  52% (n = 564) 
Male  50.7% (n = 111)  47% (n = 873)  51.4% (n = 302)  47% (n = 365)  52.5% (n = 396)  48.3% (n = 418)  48% (n = 520) 
p-valuea  0.523  0.097  0.142  0.342  0.020  0.849  0.664 
Age               
Mean ± SD  46.5 ± 17.3  48.7 ± 16.9  44.9 ± 19.1  45 ± 18.7  48.1 ± 16.8  47.2 ± 18.4  45.4 ± 18.1 
p-valueb  0.706  < 0.001  0.004  0.002  0.050  0.564  0.002 
Risk classification               
White  0.5% (n = 1; p = 0.201a1% (n = 19; p = 0.050a1.5% (n = 9; p = 0.912a0.8% (n = 6; p = 0.080a0.7% (n = 5; p = 0.047a1% (n = 9; p = 0.246a3.9% (n = 42; p < 0.001a
Blue  18.7% (n = 41; p < 0.001a23.4% (n = 435; p < 0.001a42.8% (n = 251; p < 0.001a29.1% (n = 226; p = 0.203a31.6% (n = 238; p = 0.749a33.3% (n = 288; p = 0.132a39.7% (n = 430; p < 0.001a
Green  55.7% (n = 122; p < 0.001a24.3% (n = 451; p < 0.001a30% (n = 176; p = 0.446a31.7% (n = 246; p = 0.852a35.7% (n = 269; p = 0.007a35.1% (n = 304; p = 0.011a33.2% (n = 360; p = 0.150a
Yellow  25.1% (n = 55; p = 0.001a51.3% (n = 954; p < 0.001a25.6% (n = 150; p < 0.001a38.4% (n = 298; p = 0.151a32% (n = 241; p = 0.013a30.6% (n = 265; p < 0.001a23.2% (n = 252; p < 0.001a
Red  0% (n = 0; p = 0.739a0% (n = 0; p = 0.254a0.2% (n = 1; p = 0.161a0.1% (n = 1; p = 0.281a0.1% (n = 1; p = 0.266a0% (n = 0; p = 0.483a0% (n = 0; p = 0.423a
Diagnosis of psoriasis  34.2% (n = 75; p < 0.001a)  67.7% (n = 1258; p < 0.001a)  59.3% (n = 348; p = 0.514a)  58.4% (n = 454; p = 0.805a)  54.5% (n = 411; p = 0.037a)  52.2% (n = 452; p < 0.001a)  52.4% (n = 568; p < 0.001a) 
Mild  10% (n = 22; p < 0.001a18.3% (n = 341; p < 0.001a35.8% (n = 210; p < 0.001a22.3% (n = 173; p = 0.239a24.9% (n = 188; p = 0.499a24.8% (n = 215; p = 0.514a29.8% (n = 323; p < 0.001a
Moderate to severe  3.7% (n = 8; p = 0.081a7% (n = 130; p = 0.310*)  6.3% (n = 37; p = 0.832a6.9% (n = 54; p = 0.593a7.2% (n = 54; p = 0.437a6.8% (n = 59; p = 0.695a5.4% (n = 58; p = 0.089a
Undefined severity  20.5% (n = 45; p = 0.014a42.5% (n = 791; p < 0.001a17.7% (n = 104; p < 0.001a29.3% (n = 228; p = 0.317a22.8% (n = 172; p = 0.001a20.8% (n = 180; p < 0.001a17.6% (n = 191; p < 0.001a
Diagnosis of psoriasis associated with another diagnosis  3.7% (n = 8; p = 0.445a)  2.5% (n = 47; p = 0.371a)  4.3% (n = 25; p = 0.026a)  2.1% (n = 16; p = 0.173a)  4.4% (n = 33; p = 0.006a)  1.2% (n = 10; p = 0.001a)  3.1% (n = 34; p = 0.480a) 

*Main risk classification: White – no need for intervention or follow-up; Blue – treatment at the BHU; Green – clinical-surgical evaluation with a specialist; Yellow – priority cases (refer to tertiary care); and Red – acute cases (refer to the Emergency Unit).

a

Pearson’s chi-square.

b

Student’s t.

The white risk classification was mainly observed in Itajaí Valley, comprising 3.9% of its exams (n = 42; p < 0.001). The blue risk classification was mainly observed in the Great Western region (42.8%; n = 251; p < 0.001), while Itajaí River Mouth was the macroregion with the most cases of green risk classifications (55.7%; n = 122; p < 0.001). The yellow risk was more frequent in Greater Florianópolis (51.3%; n = 954; p < 0.001), while the red risk classification occurred in only three macroregions: Great Western (0.2%; n = 1; p = 0.161), Midwestern and Santa Catarina Mountain Range (0.1%; n = 1; p = 0.281) and Northern/Northeastern Plateau (0.1%; n = 1; p = 0.266).

Regarding the severity of psoriasis, mild disease predominated in the Great Western (35.8%; n = 210; p < 0.001) and moderate to severe disease in the Northern/Northeastern Plateau (7.2%; n = 54; p = 0.437), while Greater Florianópolis had the majority of cases with undetermined severity (42.5%; n = 791; p < 0.001). The Northern/Northeastern Plateau also had the highest number of psoriasis diagnoses associated with another dermatosis in the TD report (4.4%; n = 33; p = 0.006).

Discussion

Psoriasis has no predilection for either sex;2,19,20 however, more diagnoses of this dermatosis were made in males (51%; n = 1,820), although females predominated regarding the total number of TD exams in the period (51.4%; n = 3,161); p < 0.001. Perhaps this is due to the fact that there is a greater demand for health services by women,21 which results in more late diagnoses and complications of chronic health conditions in men.22 It is also observed that patients with undiagnosed active psoriasis tend to be male and have a lower level of schooling.23 Additionally, in Brazil, the prevalence of psoriasis is estimated to be different between the sexes:24 1.15% of women and 1.47% of men.

Young adults are more often affected by psoriasis, which is rare in the pediatric population, and there is also a bimodal peak of disease onset, with differences reported in the literature:20 the first between 20 to 29 or 30 to 39 years and the second between 50 to 59 or 60 to 69 years. This age distribution is compatible with that of the present study since the mean age of patients diagnosed with psoriasis was 48.1 ± 16.6. Moreover, the 31 to 49 and 50 to 60 age groups accounted for 57.4% (n = 2,045) of psoriasis diagnoses, which were rare in patients aged ≤ 19 years (4.8%; n = 171).

The distribution of TD exams in terms of phototype, mostly in the lower types – I, II and III (68.4%; n = 4,202) – is consistent with the 2010 Brazilian census,25 in which the white skin color was self-declared by 84% of the population of the state of Santa Catarina. These phototypes also accounted for the majority of the diagnoses of psoriasis (69.6%; n = 2,480), a dermatosis that is more prevalent among Caucasian individuals.26

Between 2016 and 2020, the Great Florianópolis macroregion had the highest number of exams related to psoriasis (30.2%; n = 1,859), diagnoses of this dermatosis (35.3%; n = 1,258), and non-confirmed suspected cases (23, 3%; n = 601). This significantly higher number of exams can be explained by the extensive medical care available in the state capital, since, in 2020, Florianópolis had a ratio of 10.68 physicians for every 1,000 inhabitants, while the cities in the interior of SC had a 2.03 ratio.27 In Brazil, the concentration of physicians in large cities, coastal regions and regions with greater socioeconomic development is significant, being also higher in the private sector to the detriment of the SUS.28 It should also be noted that the TD center is located in Florianópolis; thus, physicians in the region tend to know more about the existence of the service and, for this reason, request more exams.

The pathogenic potential of the inflammatory mediators involved in psoriasis goes beyond the skin lesions and affects the body as a whole, which determines a state of systemic inflammation29 and the development of comorbidities. Obesity is highly incident and prevalent in patients with psoriasis, in addition to being related to greater disease severity;24 its prevalence is estimated to be 25.6%.4 Among the psoriasis diagnoses of the assessed period, concomitant obesity was observed in 35.6% (n = 1,209) of them. Individuals with psoriasis also had higher prevalence rates of smoking and alcohol consumption than the general population,24 a fact observed in the study when comparing the cases with a final diagnosis of psoriasis with those only suspected but not confirmed.

Comorbidities such as dyslipidemia, DM and SAH are also related to psoriasis, with prevalence rates estimated at 20.4%, 11.7% and 26.9%, respectively;4,24 however, they were lower among the cases of psoriasis diagnosed in the present study: 10.5% (n = 373), 10.3% (n = 367) and 25.3% (n = 903). Therefore, it is necessary to encourage lifestyle changes (cessation of smoking and alcohol consumption, physical exercise and a balanced diet) in the clinical management of psoriasis, aiming to contribute to disease control.

HIV infection is a recognized risk factor for the development of psoriasis 24 and was found in 0.4% (n = 16) of diagnosed cases in the period. Moreover, it is important to pay attention to the presence of hepatitis in patients with psoriasis, as liver function can be worsened by hepatotoxic systemic treatments or reactivated infection by immunosuppressants, both with potentially severe outcomes.24 Hepatitis B was reported in 0.7% (n = 25) of psoriasis diagnoses, and hepatitis C in 0.7% (n = 25).

There is an important genetic predisposition in psoriasis24 and 30% of patients report an affected family member;2 however, only 3.3% (n = 118) of the patients diagnosed with psoriasis in the assessed period had a positive family history of morbidity. Likewise, pruritus, with an estimated prevalence of around 80%,24 was reported in only 15.3% (n = 546) of the diagnoses. This alerts to the possibility that the anamnesis data may be underestimated and are not filled out by the physicians requesting the TD exams, which jeopardizes the evaluation of the dermatological condition by the dermatologist that issues the report.

The body sites with the most lesions diagnosed as psoriasis in the assessed period – anterior leg (28.8%; n = 1,027), posterior forearm (23.2%; n = 828), posterior arm (14.6%; n = 521), anterior thigh (13.9%; n = 495), abdomen (11.7%; n = 417), scalp (11.6%; n = 413) and lumbar region (10.6%; n = 379) – were compatible with the literature: preference for the extensor region of the limbs, trunk, sacral region and scalp.5,6 Regarding lesion distribution, it was described as localized by the BHU physician in 76.9% of the diagnoses of psoriasis, but it is inferred that this information is possibly wrong when compared to the severity of the diagnosed conditions since 58.7% (n = 2,095) received a yellow classification – indicating moderate to severe psoriasis, usually extensive, and requiring referral to a tertiary outpatient clinic.

Disease duration was another piece of information that was quite absent in the exam requests, reported in only 17.9% (n = 639) of the psoriasis diagnoses, but indicating that the diagnoses were late ones, after disease evolution that lasted years in a considerable number of individuals. This fact may indicate that patients delayed in seeking medical help or that the psoriasis conditions were being managed with difficulty in PHC. Currently, with the advent of TD, access to the public dermatology service has been facilitated and democratized in the state. Patients with psoriasis are often undiagnosed,23 undertreated, or even go untreated because the cutaneous involvement is the main and – often – the only manifestation of the disease,29 whose potential for systemic inflammation is still mistakenly underestimated by some medical professionals.

Before the implementation of TD, SC had a long waiting list for dermatological consultations in the SUS, from which patients with skin conditions ranging from benign to severe, with no definition of priority, were all referred to general dermatology outpatient clinics (secondary referral).30 TD established an effective screening and risk classification system,30 which allowed optimizing dermatologic referrals according to their level of priority,13 shortening the waiting time for diagnosis (from six months to 72 hours),31 and reducing the costs associated with in-person consultations.32 Thus, cases screened by TD in the white, blue, yellow and red categories do not require in-person evaluation by the secondary referral,18 being referred directly to other levels of health care or receiving treatment/care at the BHU.

In this sense, considering the TD exams related to psoriasis between 2016 and 2020, 68.6% (n = 4,218) of the exams prevented referral to secondary care. This percentage is higher than the 60.6% found in another study,30 which evaluated all exams performed by the TD of the TTS/SC in the period from 2015 to 2018.

When analyzing only the diagnoses of psoriasis, there is an even higher frequency of exams that did not require going through the general dermatology sector: 98.4% (n = 3,511). Of these, 58.7% (n = 2,095), categorized as yellow risk classification (moderate/severe psoriasis)18 were directly referred to tertiary care (severe psoriasis outpatient clinic). The respective TD report already contains recommendations for laboratory and imaging tests, to be done before the day of the consultation.5 It is the responsibility of the BHU physician to request them, aiming to anticipate the beginning of the systemic or biological treatment – when necessary. On the other hand, 39.7% (n = 1,416) of cases classified as blue risk (mild psoriasis)18 received treatment in PHC with the BHU physician, based on guidelines also provided in the examination report, according to the clinical management protocols of TD.5

Regarding the cases of suspected psoriasis but non confirmed, the evaluation of the secondary referral was prevented in only 27.4% (n = 707) of the exams. Cases classified as blue risk (such as actinic keratosis, seborrheic dermatitis and tinea) 18 and therefore treated at the BHU comprised 19.1% (n = 493). Cases classified as yellow risk and referred to tertiary care (for example, alopecia, collagenosis and leprosy),18 were 4.7% (n = 120), while whites (seborrheic keratosis, melanocytic nevus, chronic photodamage and other benign conditions),18 without the need for medical intervention, were 3.5% (n = 91). These received recommendations on their skin condition and the need for sun protection in the BHU. It is noteworthy the occurrence of 0.1% (n = 3) of cases classified as red risk (for example, acute cases of drug reaction, erythroderma, extensive vasculitis, or cellulitis of the face),18 which required immediate referral to the emergency department.

The diagnostic compatibility of TD versus in-person dermatological evaluation has shown to be quite high for inflammatory dermatoses such as psoriasis, reaching a diagnostic agreement rate of ≥ 90% in a study carried out in the city of São Paulo with an asynchronous TD model.33 On the other hand, the true positive tests (suspected by PHC and diagnosed with psoriasis during the evaluation of TD), totaled 34.1% – a value higher than the 19.02% obtained by a study that analyzed the diagnostic compatibility of PHC versus TD of the TTS/SC in skin cancer32 between January and July 2012. Significant differences were also found between the level of true positive tests in the state macroregions, with the highest levels found in Greater Florianópolis (42.4%) and the lowest in Itajaí River Mouth (19.6%) – perhaps due to better medical coverage in the state capital.27 It is noteworthy that the diagnostic assertiveness of PHC, as well as its effectiveness regarding psoriasis cases, tends to improve in the long term, as TD provides technical improvement to general practitioners at this level of health care.10

It should be noted that the year 2020 had the lowest number of exams in the period (n = 444) due to the COVID-19 pandemic, which restricted medical care not related to this infection, as well as TD exams. In addition to showing the lowest number of true positive tests in the period (1.6%), this year, the diagnostic hypotheses indicated by the requesting physician were restricted to only two: skin cancer and other dermatoses,15 aiming at facilitating exam requests.

The TTS is one of the largest telemedicine networks in the southern hemisphere and performs an average of 80,000 exams per month.31 Its TD service is a pioneering screening and teleconsultation model. Considering that dermatologists are heterogeneously distributed throughout the Brazilian territory, concentrating in more populous cities and with better Human Development Index (HDI),34 which is also a reality of the medical demography in SC,27 the TD service in Santa Catarina has shown to be a viable solution to meet the lack of specialized physicians in the public health network, especially in the most remote areas of the state.32

As a limitation of the present study, the analysis of TD service is available only in the public health network and for a limited period (five years).

Conclusion

Suspected psoriasis exams in the PHC evaluation and with a diagnosis confirmed by TD, between the years 2016 and 2020 in SC, comprised 34.1% of the exams related to the dermatosis (p < 0.001), a percentage that can be considered low for a highly prevalent disease.

In the same period, TD was able to diagnose psoriasis in 3,566 patients and rule out the disease in 2,580 cases considered suspect in the clinical analysis of PHC. Thus, referral to secondary care was prevented in 98.4% of exams diagnosed with the disease, which referred cases of moderate/severe psoriasis directly to tertiary care (58.7%) and supported the treatment of mild cases at the BHU (39.7%). Psoriasis diagnoses performed by TD, when compared to other dermatoses, are more likely to receive treatment at the primary (p < 0.001) or tertiary (p < 0.001) levels of health care.

Therefore, it is concluded that TD in the state of Santa Catarina is efficient in the management of psoriasis cases treated via SUS, by decreasing the need for in-person dermatological assessments and increasing the effectiveness of its medical care in PHC.

Financial support

None declared.

Authors' contributions

Maria Laura Orlandi Demo: Design and planning of the study; collection of data; statistical analysis; interpretation of data; critical review of the literature; drafting and editing of the manuscript; approval of the final version of the manuscript.

Daniel Holthausen Nunes: Effective participation in research orientation; design and planning of the study; collection and interpretation of data; critical review of the manuscript; approval of the final version of the manuscript.

Chaiana Esmeraldino Mendes Marcon: Effective participation in research orientation; design and planning of the study; statistical analysis; interpretation of data; critical review of the manuscript; approval of the final version of the manuscript.

Conflicts of interest

Maria Laura Orlandi Demo: none declared.

Daniel Holthausen Nunes: has the following conflicts of interest:

Speaker: Abbvie, Bayer, Janssen, Leo, Novartis and Pfizer;

Preparation of scientific material: Abbvie, Janssen, Novartis and Pfizer;

Financial support to participate in scientific events: Abbvie, Janssen, Leo, Novartis, Pfizer and Sanofi;

Advisory Board: Abbvie, Bayer, Janssen and Novartis.

Chaiana Esmeraldino Mendes Marcon: none declared.

References
[1]
K. Wolff, A.P. Saavedra, R.A. Johnson, E.K. Roh.
Dermatologia de Fitzpatrick – atlas e texto.
8. ed., AMGH Editora, (2019),
[2]
E.A. Rivitti.
Dermatologia de Sampaio e Rivitti.
4. ed., Artes Médicas, (2018),
[3]
A.W. Armstrong, C. Read.
Pathophysiology, Clinical Presentation, and Treatment of Psoriasis: A Review.
JAMA, 323 (2020), pp. 1945-1960
[4]
M. Arnone, M.D.F. Takahashi, A.V.E. Carvalho, W.M. Bernardo, A.L. Bressan, A.M.C. Ramos, et al.
Diagnostic and therapeutic guidelines for plaque psoriasis – Brazilian Society of Dermatology.
An Bras Dermatol, 94 (2019), pp. 76-107
[5]
A. von Wangenheim, D.H. Nunes, H.M. Wagner.
Manual – Teledermatologia: Protocolos de Conduta Clínica de Doenças Dermatológicas na ABS. Versão 2.0.
Relatório Técnico do INCoD/TELEMED.007.2019.P, (2019),
[6]
S. Carneiro, L. Azulay-Abulafia, D.R. Azulay.
Dermatoses Eritematoescamosas.
Dermatologia, 7. ed.,
[7]
P. Pasquali, S. Sonthalia, D. Moreno-Ramirez, P. Sharma, M. Agrawal, S. Gupta, et al.
Teledermatology and its current perspective.
Indian Dermatol Online J, 11 (2020), pp. 12-20
[8]
R.H. Wang, J.S. Barbieri, H.P. Nguyes, J.L. Bolognia, C.L. Kovarik.
Clinical effectiveness and cost-effectiveness of teledermatology: where are we now, and what are the barriers to adoption?.
J Am Acad Dermatol, 83 (2020), pp. 299-307
[9]
J.J. Lee, J.C. English 3rd.
Teledermatology: a review and update.
Am J Clin Dermatol, 19 (2018), pp. 253-260
[10]
S.J. Coates, J. Kvedar, R.D. Granstein.
Teledermatology: from historical perspective to emerging techniques of the modern era: part I: history, rationale, and current practice.
J Am Acad Dermatol, 72 (2015), pp. 563-574
[11]
telessaude.ufsc [Internet]. Secretaria de Estado da Saúde de Santa Catarina – SES-SC. SC é pioneira em exames de dermatologia à distância. 2019. [cited 2021 Sept 4]. Available from: https://www.saude.sc.gov.br/index.php/noticias-geral/todas-as-noticias/1641-noticias-2019/10640-sc-e-pioneira-em-exames-de-dermatologia-a-distancia.
[12]
telessaude.ufsc [Internet]. Telemedicina – Santa Catarina. Número de Exames – quadro. [cited 2021 Sept 4]. Available from: http://site.telemedicina.ufsc.br/.
[13]
A. von Wangenheim, D.H. Nunes.
Creating a web infrastructure for the support of clinical protocols and clinical management: an example in teledermatology.
Telemed J E Health, 25 (2019), pp. 781-790
[14]
Sociedade Brasileira de Dermatologia, H.A. Miot, G.O. Penna, A.M.C. Ramos, M.L.F. Penna, S.M. Schmidt, et al.
Profile of dermatological consultations in Brazil (2018).
An Bras Dermatol, 93 (2018), pp. 916-928
[15]
A. von Wangenheim, D.H. Nunes, H.M. Wagner.
Manual – Solicitação de Exames Dermatológicos – Médicos Solicitantes. Versão 6.0.
Relatório Técnico do INCoD/TELEMED.005.2019.P, (2019),
[16]
A. von Wangenheim, D.H. Nunes, H.M. Wagner.
Manual – Realização de Exames Dermatológicos – Profissionais de Saúde. Versão 6.0.
Relatório Técnico do INCoD/TELEMED.004.2019.P, (2019),
[17]
telemedicina.ufsc [Internet]. Ribas L. Teledermatologia em Florianópolis completa um ano de implantação com resultados positivos. 2016. [cited 2021 Sept 4]. Available from: http://site.telemedicina.ufsc.br/teledermatologia-em-florianopolis-completa-um-ano-de-implantacao-com-resultados-positivos/.
[18]
A. von Wangenheim, D.H. Nunes, H.M. Wagner.
Manual – TELEDERMATOLOGIA: Classificação de Risco – Critérios para avaliação de risco. Versão 6.0.
Relatório Técnico do INCoD/TELEMED.006.2019.P, (2019),
[19]
R. Parisi, I.Y.K. Iskandar, E. Kontopantelis, M. Augustin, C.E.M. Griffiths, D.M. Ashcroft, et al.
National, regional, and worldwide epidemiology of psoriasis: systematic analysis and modelling study.
BMJ, 369 (2020), pp. m1590
[20]
I.Y.K. Iskandar, R. Parisi, C.E.M. Griffiths, D.M. Ashcroft.
Global Psoriasis Atlas. Systematic review examining changes over time and variation in the incidence and prevalence of psoriasis by age and gender.
Br J Dermatol, 184 (2021), pp. 243-258
[21]
A.S. Moraes, D.A. Lopes, I.C.M. Freitas.
Sex-specific differences in prevalence and in the factors associated to the search for health services in a population based epidemiological study.
Rev Bras Epidemiol, 17 (2014), pp. 323-340
[22]
G.A.N. Bastos, G.F. Del Duca, P.C. Hallal, I.S. Santos.
Utilization of medical services in the public health system in the Southern Brazil.
Rev Saúde Pública, 45 (2011), pp. 475-484
[23]
S.K. Kurd, J.M. Gelfand.
The prevalence of previously diagnosed and undiagnosed psoriasis in US adults: results from NHANES 2003–2004.
J Am Acad Dermatol, 60 (2009), pp. 218-224
[24]
R. Romiti, A.V.E. Carvalho, G.V. Duarte.
Brazilian Consensus on Psoriasis 2020 and Treatment Algorithm of the Brazilian Society of Dermatology.
An Bras Dermatol, 96 (2021), pp. 778-781
[25]
Instituto Brasileiro de Geografia e Estatística (IBGE). Censo demográfico 2010: características da população e dos domicílios [Internet]. Rio de Janeiro: IBGE, 2011. ISSN: 0104-3145. [cited 2021 Sept 6]. Available from: https://biblioteca.ibge.gov.br/visualizacao/periodicos/93/cd_2010_caracteristicas_populacao_domicilios.pdf.
[26]
R. Parisi, D.P.M. Symmons, C.E.M. Griffiths, D.M. Ashcroft.
Global epidemiology of psoriasis: a systematic review of incidence and prevalence.
J Invest Dermatol, 133 (2013), pp. 377-385
[27]
M. Scheffer, A. Cassenote, A. Guerra, G.A. Guilloux, A.P.D. Brandão, B.A. Miotto, et al.
Demografia Médica no Brasil 2020.
Faculdade de Medicina da USP, Conselho Federal de Medicina, (2020),
[28]
amb.org [Internet]. Ferreira LL. O perfil do médico brasileiro e a desigualdade no acesso à assistência. Associação Médica Brasileira, 2018. [cited 2021 Sept 7]. Available from: https://amb.org.br/wp-content/uploads/2018/03/DEMOGRAFIA-M%C3%89DICA.pdf.
[29]
C.A. Elmets, C.L. Leonardi, D.M.R. Davis, J.M. Gelfand, J. Lichten, N.N. Mehta, et al.
Joint AAD-NPF guidelines of care for the management and treatment of psoriasis with awareness and attention to comorbidities.
J Am Acad Dermatol, 80 (2019), pp. 1073-1113
[30]
L.S. Abi-Saab, B.H.S. Meirelles, M.L.O. Demo.
Economic assessment of teledermatology in the state of Santa Catarina – Brazil.
Public Health, 201 (2021), pp. 35-40
[31]
clicrdc.com [Internet]. Pesquisadores catarinenses desenvolvem sistema para consultas médicas a distância. 2020. Available from: https://clicrdc.com.br/saude/pesquisadores-catarinenses-desenvolvem-sistema-para-consultas-medicas-a-distancia/.
[32]
M.F. Piccoli, B.D.B. Amorim, H.M. Wagner, D.H. Nunes.
Teledermatology protocol for screening of Skin Cancer.
An Bras Dermatol, 90 (2015), pp. 205-213
[33]
M. Giavina-Bianchi, R. Sousa, E. Cordioli.
Part I: accuracy of teledermatology in inflammatory dermatoses.
Front Med (Lausanne), 7 (2020),
[34]
Sociedade Brasileira de Dermatologia, S.M. Schmidt, H.A. Miot, F.B. Luz, M.A.J. Sousa, S.L.L. Palma, et al.
Demographics and spatial distribution of the Brazilian dermatologists.
An Bras Dermatol, 93 (2018), pp. 99-103

Study conducted at the Universidade do Sul de Santa Catarina, using data from the Teledermatology exam records of the Telemedicine and Telehealth System (TTS) in the state of Santa Catarina, Florianópolis, SC, Brazil.

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