| Literature DB >> 31709216 |
Marina Luketina-Sunjka1, Nemanja Rancic2, Natasa Mihailovic3, Mihajlo Jakovljevic4.
Abstract
The Aim of this research is to analyze how the socio-demographic characteristics of users of Complementary and Alternative Medicine (CAM) in Serbia influence and impact their consumption of OTC drugs. Respondents and methods: The study employed the third edition of the National Health Survey of the Republic of Serbia, published in 2013, as a data source covering the Serbian population. The sample comprised of 550 interviewed individuals who had been applying a variety of CAM treatments over the previous 12 months. Their socio-demographic characteristics were used as independent variables impacting the consumption of OTC drugs over the previous 2-week period, representing the dependent variable.Entities:
Keywords: CAM; OTC drugs; complementary and alternative medicine; health care; national health survey; socio-demographic factors
Year: 2019 PMID: 31709216 PMCID: PMC6822287 DOI: 10.3389/fpubh.2019.00303
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Clinical characteristics and health care practices of participants.
| Very good | 39 (58.2) | 28 (41.8) | >0.05 |
| Good | 126 (64.3) | 70 (35.7) | |
| Average | 130 (695) | 57 (30.5) | |
| Bad | 49 (63.6) | 28 (36.4) | |
| Very bad | 15 (65.2) | 8 (34.8) | |
| Yes | 187 (67.8) | 89 (32.2) | >0.05 |
| No | 167 (62.8) | 99 (37.2) | |
| Already ill | 5 (62.5) | 3 (37.5) | |
| Over the previous year | 16 (69.6) | 7 (30.4) | <0.05 |
| More than a year ago | 24 (49.0) | 25 (51.0) | |
| Never | 317 (66.7) | 158 (33.3) | |
| Over the previous year | 8 (66.7) | 4 (33.3) | >0.05 |
| More than a year ago | 30 (57.7) | 22 (42.3) | |
| Never | 320 (66.1) | 164 (33.9) | |
| Yes | 202 (66.9) | 100 (33.10) | >0.05 |
| No | 157 (63.6) | 90 (36.4) | |
| Yes | 40 (66.7) | 20 (33.3) | >0.05 |
| No | 92 (63.0) | 54 (37.0) | |
| Yes | 41 (55.4) | 33 (44.6) | <0.05 |
| No | 318 (66.8) | 158 (33.2) | |
| Yes | 53 (63.1) | 31 (36.9) | >0.05 |
| No | 306 (65.7) | 160 (34.3) | |
| Yes | 37 (63.8) | 21 (36.2) | >0.05 |
| No | 322 (65.4) | 170 (34.6) | |
| Yes | 7 (53.8) | 6 (46.2) | >0.05 |
| No | 352 (65.5) | 185 (34.5) | |
| Yes | 162 (70.1) | 69 (29.9) | >0.05 |
| No | 166 (62.6) | 99 (37.4) | |
over previous 12 months; # Chi-square test.
Figure 1Most commonly consumed drugs, herbal preparations, and vitamins selected by personal choice.
Principal component analysis.
| Health condition (17.43) | Health self-evaluation | −0.759 |
| Limitations to undertaking daily activities due to illness | 0.718 | |
| Chronic disease | 0.605 | |
| Financial status (10.16) | Accommodation | 0.705 |
| Well-being Index | −0.652 | |
| Education | −0.511 | |
| Region | 0.376 | |
| Required visits to health care institutions | 0.369 | |
| Age (7.89) | Employment | 0.546 |
| Age | 0.544 | |
| OTC drugs (7.42) | OTC drug use | 0.388 |
| Sex | 0.606 | |
| Knowledge about health topics | 0.461 | |
| Hospitalization in the previous 12 months | −0.379 | |
| Emergency (6.21) | Use of emergency assistance over the previous 12 months | 0.428 |
| Risky behavior | −0.363 | |
| Healthcare utilization (5.94) | Availability of selected private practice physician | −0.806 |
| “Day patient” over the previous 12 months | 0.372 |