| Literature DB >> 35641930 |
V Kaufman-Shriqui1, M Shani2,3, M Boaz4, A Lahad5,6, S Vinker7,8, R Birk4.
Abstract
BACKGROUND: Social distancing and lockdowns were implemented during the first period of the COVID-19 pandemic. Primary care physicians needed to adapt quickly to deliver remote care/telemedicine.Entities:
Keywords: COVID-19; Coronavirus; Health survey; Primary care; Telehealth; Telemedicine
Mesh:
Substances:
Year: 2022 PMID: 35641930 PMCID: PMC9151999 DOI: 10.1186/s12875-022-01750-7
Source DB: PubMed Journal: BMC Prim Care ISSN: 2731-4553
Comparison between the distribution of family physicians by sex and age group in survey and the countrya
| Age group | Men in the survey n,(%) | Men in the profession in the country (n,%) | Women in the survey (n,%) | Women in the profession in the country (n,%) |
|---|---|---|---|---|
| Lower than 30 | 0 (0) | 75 (2.7) | 1(1.0) | 27 (1.2) |
| 31–40 | 8 (14.0) | 336 (12.0) | 22(21.8) | 297 (13.2) |
| 41–50 | 20 (35.1) | 541 (19.5) | 39 (38.6) | 573 (25.5) |
| 51–60 | 14 (24.6) | 809 (29.1) | 29(28.7) | 746 (33.2) |
| 61–70 | 10 (17.5) | 870 (31.3) | 10 (9.9) | 527 (23.5) |
| 71 and above | 5 (8.8) | 130 (4.7) | 0 (0) | 59 (2.6) |
| Missing | 20 (0.7) | 15 (0.7) | ||
| Total | 57 | 2781 | 101 | 2244 |
aData on the distribution of physicians in the country were taken from Ginat A. Practitioners and specialists in family medicine in Israel, 2018. Jerusalem, Israel: Administration of Strategic and Economic Planning; 2019
Characteristics of survey participants
| Characteristic | Result |
|---|---|
| 53.4 ± 10.4 | |
| 101.0 (63.5) Weighted: 49.9% | |
| Family medicine | 143.0 (89.9) |
| Intern in family medicine | 9.0 (5.7) |
| Practicing family medicine with no specialization | 4.0 (2.5) |
| Other medical specialization | 3.0 (1.9) |
| | 21.3 (17.0) |
| Employee | 96.0 (60.4) |
| Independent physician | 49.0 (30.8) |
| Both employee and independent physician | 14.0 (8.8) |
| More than 1500 | 45.0 (28.3) |
| Between 1000–1500 | 50.0 (31.5) |
| Between 500–1000 | 46.0 (28.9) |
| Less than 500 | 18.0 (11.3) |
| | 27.9 ± 10.7 |
| All patients | 4.0 (2.5) |
| 75% of the patients | 24.0 (15.1) |
| 50% of the patients | 89.0 (56.0) |
| 25% of the patients or less | 42.0 (26.4) |
| | 29.0 (18.2) |
| Yes | 25.0 (15.7) |
| Yes | 65.0 (40.9) |
Abbreviations: IQR Interquartile range
Characteristics of counseling since the COVID-19 outbreaka
| Characteristic | Result |
|---|---|
| Full-time | 147 (92.5) |
| Part-time | 12.0 (7.5) |
| | 18.3 ± 12.3 |
| No changes in patients characteristics | 66 (41.5) |
| Younger patients | 64 (40.3) |
| Older patients | 15 (9.4) |
| Other | 14 (8.8) |
| | 147 (92.5) |
| Usual counseling and phone counseling | 95 (59.7) |
| Only phone counseling | 8 (5.0) |
| Only online counseling | 2 (1.3) |
| Only phone and online counseling | 2 (1.3) |
| Usual counseling as well as phone and online counseling | 52 (32.7) |
aCalculated with the application of sample weights
Characteristics of quality of telemedicine using the phone and online platformsa
| Question/Response | Result |
|---|---|
| Yes | 51 (32.5) |
| Limited experience | 50 (31.8) |
| No | 56 (35.7) |
| Similar in duration to face-to-face counseling | 33 (21.0) |
| Much longer than face-to-face counseling | 15 (9.6) |
| Slightly longer face-to-face counseling | 17 (10.8) |
| Much shorter than face-to-face counseling | 23 (14.6) |
| Slightly shorter than face-to-face counseling | 69 (44.0) |
| None | 4 (2.5) |
| 25% | 141 (89.9) |
| 50% and above | 12 (7.6) |
| | 4 (5.0) |
| Superior to face-to-face counseling | 12 (7.6) |
| Similar to face-to-face counseling | 30 (19.1) |
| Inferior to face-to-face counseling | 108 (68.8) |
| Not certain | 7 (4.5) |
| | 6.2 (3.0) |
| Highly convenience | 34 (21.7) |
| Reasonably convenience | 65(41.4) |
| Not highly convenient | 48 (30.6) |
| Not convenient at all | 10 (6.3) |
| Yes | 41(26.2) |
| Yes, while combining phone and face-to-face counseling | 85 (54.2) |
| Not certain | 23 (14.6) |
| No | 8 (5.0) |
| | |
| Yes | 22 (39.3) |
| Limited experience | 11(19.6) |
| No | 23 (41.1) |
| Similar in duration to face-to-face counseling | 18 (32.1) |
| Much longer than face-to-face counseling | 2 (3.6) |
| Slightly longer face-to-face counseling | 11(19.7) |
| Much shorter than face-to-face counseling | 7 (12.5) |
| Slightly shorter than face-to-face counseling | 18 (32.1) |
| None | 12 (21.4) |
| 25% | 42 (75.0) |
| 50% and above | 2 (3.6) |
| Superior to face-to-face counseling | 2 (3.6) |
| Similar to face-to-face counseling | 20 (35.7) |
| Inferior to face-to-face counseling | 32 (57.1) |
| Not certain | 2 (3.6) |
| Highly convenience | 18 (32.1) |
| Reasonably convenience | 23 (41.1) |
| Not highly convenient | 14 (25.0) |
| Not convenient at all | 1 (1.8) |
| Yes | 30 (53.5) |
| Yes, while combining phone and face-to-face counseling | 15 (26.8) |
| Not certain | 9 (16.1) |
| No | 2 (3.6) |
| Overall qualityb | 7 (2) |
| Technical qualityb | 6 (2) |
| Organizational difficultiesb | 7 (3) |
| Technical difficulties, n (%) | 16 (10.0) |
| Difficulties due to lack of physical examination, n (%) | 16 (10.0) |
| Scheduling difficulties, n (%) | 9 (5.6) |
| Other c, n (%) | 12 (7.5) |
| | |
| Yes | 90 (56.6) |
| Prescribed as usual | 69 (43.4) |
| Yes | 26 (16.4) |
| Blood tests as usual | 133 (83.6) |
| Yes | 39 (24.5) |
| Referrals as usual | 120 (75.5) |
| Yes | 79 (49.7) |
| Imagining as usual | 80 (50.3) |
| | |
| | 8 (3) |
| Technical difficulties | 48 (30.0) |
| Interpersonal communication difficulties | 33 (20.6) |
| Difficulties due to lack of physical examination | 22 (13.8) |
| Difficulties/inconvenience from conducting the session in the home environment | 7 (4.4) |
| Otherc | 14 (8.8) |
aOpen scale, replies were numerically restricted to 0–100 percent
bItems scored on a 10-point Likert scale ranging from 1–10, where 1 = “very low” to 10 “very high”
cOther difficulties included themes of trust, age difficulties, hearing and sight disability which prevented patients from communicating well using the suggested telemedicine, and a desire to see the physician in person
dCalculated with the application of sample weights
Factors associated with a higher overall quality score of phone counseling in a multivariable logistic regression analysis*a
| Age (years) | 0.99 | 0.959–1.038 | 0.91 |
| Sex (men vs. women) | 1.02 | 0.468–2.204 | 0.968 |
| Prescribing more antibiotics | 0.30 | 0.134–0.688 | 0.004 |
| Previous experience using a phone in primary care counseling (no experience vs. experience) | 1.14 | 0.499–2.607 | 0.756 |
| Constant | 5.34 | 0.145 |
aCalculated with the application of sample weights
*Quality score was calculated as the sum of scores of the item questions on quality, technical quality, clinical quality, and organizational difficulties (on a scale of 1–10). Higher quality score was assigned a total quality score higher than the median value of 6 points for performing telemedicine using the phone
Factors associated with a higher overall quality score of video counseling in a multivariable logistic regression analysisa**
| Age (years) | 1.03 | 0.948–1.113 | 0.516 |
| Sex | 0.62 | 0.159–2.444 | 0.498 |
| Referring patients to more blood tests | 0.06 | 0.08–0.378 | 0.003 |
| Previous experience using the video platforms in primary care counseling (no experience vs. experience) | 1.51 | 0.329–6.956 | 0.59 |
| Constant | 0.84 | 0.933 |
aCalculated with the application of sample weights
**Quality score was calculated as the sum of scores of the item questions on quality, technical quality, clinical quality, and organizational difficulties (on a scale of 1–10). Higher quality score was assigned a total quality score higher than the median value of 7 points for performing telemedicine using the video platforms