| Literature DB >> 35410309 |
Tamar Zohar1, Maya Negev2, Maia Sirkin2, Hagai Levine3.
Abstract
BACKGROUND: The COVID-19 pandemic has highlighted the important role of professionals in designing and communicating effective policies. The purpose of this study was to evaluate the level of trust in the COVID-19 national public health policy among public health professionals in Israel and its correlates during the first wave of the pandemic.Entities:
Keywords: COVID-19; Decision making; Health policy; Pandemic; Public health; Trust
Mesh:
Year: 2022 PMID: 35410309 PMCID: PMC8995887 DOI: 10.1186/s13584-022-00529-6
Source DB: PubMed Journal: Isr J Health Policy Res ISSN: 2045-4015
Socio-demographic characteristics of the participants
| Variable* | Value | Distribution |
|---|---|---|
| Profession in public health | Public health physician | 24.1% |
| Other health professional | 37.5% | |
| Researcher | 31.3% | |
| Highest degree in public health | PhD | 20.5% |
| MPH | 39.3% | |
| MSc | 12.5% | |
| MHA | 6.3% | |
| Student of public health | 11.6% | |
| Professional seniority in public health | 1–4 years | 15.2% |
| 5–10 years | 22.3% | |
| 11–15 years | 15.2% | |
| Over 16 years | 46.4% | |
| Gender | Male | 29.5% |
| Female | 67.0% | |
| Age | 21–40 | 19.6% |
| 41–50 | 30.4% | |
| 51–60 | 22.3% | |
| 61–70 | 11.6% | |
| Minimum | 29 | |
| Maximum | 82 | |
| Mean | 48 | |
| SD | 11.6 | |
| Religion | Jewish | 89.0 |
| Muslim | 4.6% | |
| Christian | 5.5% | |
| Druze | 0.9% | |
| Level of religiosity | Secular | 74.1% |
| Traditional | 8.9% | |
| Religious | 12.5% | |
| Ultra-Orthodox | 0.9% |
*N = 112. Missing data: profession in public health—7.1%, highest degree in public health—9.8%, professional seniority in public health—0.9%, gender—3.5%, age—16.1%, level of religiosity—3.6%
Socio-demographic characteristics of the participants with low and high levels of trust in COVID-19 policy (by percentage) and comparison between the groups
| Variable | Value | Trust in COVID-19 policy* | |||
|---|---|---|---|---|---|
| Low level (n = 56) [%] | High level (n = 56) [%] | ||||
| Public health professiona | < 0.05 | ||||
| Public health physician | 35.8 | 15.7 | |||
| Researcher | 34.0 | 33.3 | |||
| Other health professional | 30.2 | 51.0 | |||
| Professional seniority in public healtha | 0.751 | ||||
| 1–4 years | 12.7 | 17.9 | |||
| 5–10 years | 23.6 | 21.4 | |||
| 11–15 years | 18.2 | 12.5 | |||
| Over 16 years | 45.5 | 48.2 | |||
| Gendera | 0.531 | ||||
| Male | 33.3 | 27.8 | |||
| Female | 66.7 | 72.2 | |||
| Religiona | 0.741 | ||||
| Jewish | 89.1 | 87.0 | |||
| Muslim | 7.3 | 1.8 | |||
| Christian | 1.8 | 9.3 | |||
| Level of religiositya | 0.429 | ||||
| Secular | 80.0 | 73.6 | |||
| Traditional | 9.1 | 9.4 | |||
| Religious | 10.9 | 15.1 | |||
| Ultra-Orthodox | 0.0 | 1.9 | |||
| Involvement in decision-making processesa | 0.654 | ||||
| Low | 78.6 | 75.0 | |||
| High | 21.4 | 25.0 | |||
*Percentage of participants with low and high levels of trust in COVID-19 policy by socio-demographic characteristics
**Mean and standard deviation for levels of trust in the various agencies, age, use of Israeli Security Agency tools and personal compliance, between participants with low compared to high levels of trust in COVID-19 policy
aPearson’s chi-squared test
bMann–Whitney U test
cIndependent samples t-test
Fig. 1Proportions (%) of high (4–5 on a 5-point Likert scale) and low (1–2) levels of trust in agencies during the first outbreak of COVID-19
Fig. 2Association between level of trust in Ministry of Health and level of trust in COVID-19 policy
Fig. 3Association between level of trust in Prime Minister and level of trust in COVID-19 policy
Fig. 4Association between level of trust in Minister of Health and level of trust in COVID-19 policy
Correlation between level of trust in various agencies and level of trust in COVID-19 policy
| Authority* | Correlation coefficient | Significance (2-tailed) |
|---|---|---|
| Ministry of Health | 0.782 | < 0.001 |
| Prime Minister | 0.558 | < 0.001 |
| Minister of Health | 0.483 | < 0.001 |
| Government | 0.454 | < 0.001 |
| Knesset | 0.337 | < 0.001 |
| Minister of Education | 0.337 | < 0.001 |
| Ministry of Finance | 0.303 | < 0.001 |
| Hospitals | 0.252 | < 0.001 |
| Association of Public Health Physicians | 0.134 | 0.158 |
| The Israeli media | 0.097 | 0.308 |
| Local authorities | − 0.050 | 0.602 |
*N = 112
Fig. 5Relative credibility of sources of information and frequency of use