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Table 2 Factors Associated with Healthcare and Treatment Disruption

From: Learning from the COVID-19 pandemic: health care disturbances and telemedicine as an alternative rheumatology practice in Indonesia

Characteristic

Population

(n = 311)

Need to Avoid Hospital Visit

(p-value)#

Stop Medication without Medical Advice

(p-value)#

The Use of Telemedicine

(p-value)#

Age, n (%)

    

Over 45 years old

87 (28.0)

0.776

0.454

0.616

Below 45 years old

204 (65.6)

Sex, n (%)

    

Female

299 (96.1)

0.209

0.005*

0.054

Male

12 (3.9)

Education Level, n (%)

    

Graduate School

158 (50.8)

0.633

0.918

0.077

Primary-Secondary

153 (49.2)

Community Member, n (%)

    

No

38 (12.2)

0.723

0.604

0.663

Yes

273 (87.8)

Overall Concern, Mean ± SD/Total Score

3.9 ± 0.9/5

   

Poor (≥ 2.5), n (%)

282 (90.7)

0.014*

0.679

0.520

Fine (< 2.5), n (%)

29 (9.3)

Overall Behavior, Mean ± SD/Total Score

3.1 ± 1.0/5

   

Poor (≥ 2.5), n (%)

221 (71.1)

0.001*

0.559

0.121

Fine (< 2.5), n (%)

90 (28.9)

The region, n (%)

    

Non-Java Bali

51 (16.4)

0.549

0.207

0.343

Java-Bali

260 (83.6)

Level of PPKM, n (%)

    

4

301 (96.8)

0.081

0.414

0.181

≤ 3

10 (3.2)

Blocked Access during PPKM, n (%)

    

No

240 (77.2)

0.045*

0.251

0.642

Yes

71 (22.8)

Transportation, n (%)

    

Public

111 (35.7)

0.981

0.810

0.016*

Private

200 (64.3)

  1. #Chi-square test; * <0.05: significant; ** <0.001: highly significant; SD: Standard Deviation; DMARD: Disease-Modifying Anti-Rheumatic Drug; PPKM (Pemberlakuan Pembatasan Kegiatan Masyarakat/Restriction on Community Activity)