| Literature DB >> 35887661 |
Kamila Furlepa1, Andrzej Śliwczyński1, Karolina Kamecka2, Remigiusz Kozłowski3, Izabela Gołębiak4, Dominika Cichońska-Rzeźnicka5, Michał Marczak2, Wojciech Michał Glinkowski6,7.
Abstract
Telemedicine gives a safe and effective way of providing healthcare. During the COVID-19 pandemic, it was possible to offer teleconsultations in primary care (Primary Care Teleconsultation-PCT). The study aimed to present an analysis of the PCTs served in the years 2020-2021 in the field of primary care in Poland to determine how the COVID-19 pandemic contributed to the development of telemedicine in primary care in Poland. The database, containing a list of medical services provided remotely obtained from the National Health Fund, was analyzed. Economic and tax indicators obtained from the Ministry of Finance were also analyzed. Personal Income Tax (PIT) value was used as an indicator of household wealth, and the Corporate Income Tax (CIT) was used as an indicator of economic activity in individual counties for 2019. Along with the COVID-19 pandemic, patients as healthcare beneficiaries can take advantage of previously unserved telemedicine services as part of primary care. The data analysis showed that, along with the introduced recommendations and restrictions in connection with the pandemic, the number of teleconsultations in 2021 increased compared to 2020. In response to the pandemic, an educational campaign targeted older patients. These indicate the most significant percentage of PCTs among patients aged 70 and older. The study shows that the awareness barrier in implementing services for the elderly population decreased significantly. There was a clear correlation between the increase in PCTs and patient age.Entities:
Keywords: COVID-19; patient; teleconsultation; telemedicine; virtual primary care
Year: 2022 PMID: 35887661 PMCID: PMC9318246 DOI: 10.3390/jpm12071165
Source DB: PubMed Journal: J Pers Med ISSN: 2075-4426
The summary table of the number of residents of voivodeships and the incidence of PCT per 10,000 residents/year.
| Name of the National Health Fund Regional Branch | Number of Residents | The PCT Incidence/10,000 Residents | Increase of the PCT per National Health Fund Regional Branch (%) | ||
|---|---|---|---|---|---|
| 2020 | 2021 | 2020 | 2021 | ||
| Dolnośląski | 2,900,163 | 2,891,321 | 3299.22 | 10,681.39 | 323.8 |
| Kujawsko-Pomorski | 2,072,373 | 2,061,942 | 3289.73 | 10,026.96 | 304.8 |
| Lubelski | 2,108,270 | 2,095,258 | 1844.61 | 9856.08 | 534.3 |
| Lubuski | 1,011,592 | 1,007,145 | 2103.17 | 7540.91 | 358.5 |
| Łódzki | 2,454,779 | 2,437,970 | 3464.65 | 10,460.21 | 301.9 |
| Małopolski | 3,410,901 | 3,410,441 | 2805.13 | 8783.99 | 313.1 |
| Mazowiecki | 5,423,168 | 5,425,028 | 3785.60 | 10,718.28 | 283.1 |
| Opolski | 982,626 | 976,774 | 3228.91 | 9523.29 | 294.9 |
| Podkarpacki | 2,127,164 | 2,121,229 | 1668.08 | 7331.97 | 439.5 |
| Podlaski | 1,178,353 | 1,173,286 | 1496.44 | 7761.24 | 518.6 |
| Pomorski | 2,343,928 | 2,346,671 | 3114.57 | 10,712.22 | 343.9 |
| Śląski | 4,517,635 | 4,492,330 | 2603.38 | 10,492.96 | 403.1 |
| Świętokrzyski | 1,233,961 | 1,224,626 | 3127.25 | 9630.50 | 308 |
| Warmińsko mazurski | 1,422,737 | 1,416,495 | 2031.49 | 8052.34 | 396.4 |
| Wielkopolski | 3,498,733 | 3,496,450 | 2633.84 | 8139.02 | 309 |
| Zachodniopomorski | 1,696,193 | 1,688,047 | 3959.53 | 11,084.99 | 280 |
Figure 1The diagram shows the growth of the primary care teleconsultations in voivodeships in 2020 and 2021.
Figure 2The distribution diagram of the served PCTs in 2020–2021, in age groups.
The table shows the numbers of patients served with a PCT in 2020 and 2021 with age groups and the population size per 10,000 residents.
| Age Group | Population 2020 | Population 2021 | 2020 | 2021 | PCTs 2020 | PCTs 2021 | Rate 2020 | Rate 2021 |
|---|---|---|---|---|---|---|---|---|
| 0–4 | 1,911,494 | 1,876,822 | 6.09% | 5.7% | 677,058 | 2,104,353 | 3542.04 | 11,212.32 |
| 5–9 | 1,930,096 | 1,905,991 | 3.18% | 3.5% | 353,729 | 1,298,516 | 1832.70 | 6812.81 |
| 10–14 | 2,042,479 | 2,072,944 | 2.38% | 2.5% | 264,719 | 931,171 | 1296.07 | 4492.02 |
| 15–19 | 1,798,052 | 1,802,588 | 2.25% | 2.4% | 250,354 | 870,700 | 1392.36 | 4830.28 |
| 20–24 | 1,999,667 | 1,940,927 | 2.92% | 2.9% | 325,281 | 1,090,852 | 1626.68 | 5620.26 |
| 25–29 | 2,457,738 | 2,348,271 | 3.82% | 3.7% | 425,276 | 1,351,488 | 1730.36 | 5755.25 |
| 30–34 | 2,867,784 | 2,784,304 | 4.65% | 4.5% | 517,493 | 1,651,719 | 1804.50 | 5932.25 |
| 35–39 | 3,228,463 | 3,211,368 | 5.85% | 5.7% | 650,720 | 2,091,457 | 2015.57 | 6512.67 |
| 40–44 | 3,054,544 | 3,079,795 | 6.35% | 6.1% | 706,426 | 2,254,233 | 2312.71 | 7319.43 |
| 45–49 | 2,646,756 | 2,742,437 | 6.33% | 6.2% | 704,608 | 2,286,187 | 2662.16 | 8336.33 |
| 50–54 | 2,275,278 | 2,299,098 | 6.29% | 6.1% | 699,145 | 2,255,743 | 3072.79 | 9811.42 |
| 55–59 | 2,363,518 | 2,294,188 | 7.23% | 7.0% | 804,709 | 2,586,696 | 3404.71 | 11,275.00 |
| 60–64 | 2,719,848 | 2,628,254 | 9.31% | 9.2% | 1,035,921 | 3,420,617 | 3808.75 | 13,014.79 |
| 65–69 | 2,487,083 | 2,509,175 | 10.03% | 10.3% | 1,115,851 | 3,798,019 | 4486.59 | 15,136.52 |
| >70 | 4,571,373 | 4,666,062 | 23.30% | 24.4% | 2,591,857 | 9,009,907 | 5669.76 | 19,309.44 |
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The table presents the Pearson correlation coefficient results between the average/median PIT/CIT and the incidence of PCTs per 10,000 residents.
| Voivodeship | The Median Age in a Voivodeship 2020 | The Average Amount of PIT 2019 | The Average Amount of CIT 2019 | The Median Amount of PIT 2019 | The Median Amount of CIT 2019 | The Incidence of PCTs per 10,000 Residents in 2020 | The Incidence of PCTs per 10,000 Residents in 2021 |
|---|---|---|---|---|---|---|---|
| Dolnośląskie | 41.7 | 3608 | 167,128 | 3385 | 60,960 | 3299.22 | 10,681.39 |
| Kujawsko-Pomorskie | 42.3 | 2860 | 164,415 | 2655 | 86,730 | 3289.73 | 10,026.96 |
| Lubelskie | 41.7 | 2771 | 128,039 | 2501 | 92,028 | 1844.61 | 9856.08 |
| Lubuskie | 41.8 | 3122 | 66,918 | 3032 | 69,496 | 2103.17 | 7540.91 |
| Łódzkie | 41.6 | 3078 | 162,752 | 2844 | 128,357 | 3464.65 | 10,460.21 |
| Małopolskie | 43.3 | 3145 | 126,988 | 2953 | 118,355 | 2805.13 | 8783.99 |
| Mazowieckie | 40.4 | 3603 | 278,619 | 3008 | 128,451 | 3785.60 | 10,718.28 |
| Opolskie | 41.2 | 3204 | 129,224 | 3104 | 101,827 | 3228.91 | 9523.29 |
| Podkarpackie | 43.4 | 2818 | 130,746 | 2692 | 129,140 | 1668.08 | 7331.97 |
| Podlaskie | 40.7 | 2711 | 161,479 | 2612 | 120,793 | 1496.44 | 7761.24 |
| Pomorskie | 41.8 | 3526 | 118,704 | 3167 | 82,414 | 114.57 | 10,712.22 |
| Śląskie | 40.3 | 3890 | 143,754 | 3977 | 107,455 | 2603.38 | 10,492.96 |
| Świętokrzyskie | 43.0 | 2756 | 261,533 | 2752 | 173,287 | 3127.25 | 9630.50 |
| Warmińsko-Mazurskie | 43.0 | 2855 | 53,286 | 2716 | 36,408 | 2031.49 | 8052.34 |
| Wielkopolskie | 41.2 | 3065 | 193,677 | 2894 | 14,269 | 2633.84 | 8139.02 |
| Zachodniopomorskie | 40.5 | 3143 | 63,575 | 3023 | 46,432 | 3959.53 | 11,084.99 |
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