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Psychometric properties of public trust in Covid-19 control and prevention policies questionnaire.
Kalajahi, Riaz Alaei; Saadati, Mohammad; Aghdash, Saber Azami; Rezapour, Ramin; Nouri, Mehdi; Derakhshani, Naser; Dalal, Koustuv.
  • Kalajahi RA; Department of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
  • Saadati M; Department of Public Health, Khoy University of Medical Sciences, Khoy, Iran. saadati_m@khoyums.ac.ir.
  • Aghdash SA; Tabriz Health Services Management Research Center, Health Management and Safety Promotion Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran.
  • Rezapour R; Tabriz Health Services Management Research Center, Health Management and Safety Promotion Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran.
  • Nouri M; Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran.
  • Derakhshani N; Health Management and Economics Research Center, Health Management Research Institute, Iran University of Medical Sciences, Tehran, Iran.
  • Dalal K; School of Health Sciences, Div. of Public Health Science, Mid Sweden University, Sundsvall, Sweden. Koustuv.dalal@miun.se.
BMC Public Health ; 22(1): 1959, 2022 10 24.
Article in English | MEDLINE | ID: covidwho-2089182
ABSTRACT

BACKGROUND:

Public trust is a crucial concept in the COVID-19 pandemic, which determines public adherence with preventive rules as a success factor for disease management. This study aimed to develop and validate a tool to measure public trust in COVID-19 control and prevention policies (COV-Trust tool).

METHODS:

This is a psychometric study that was conducted in 2020 (March-August). A primary tool was developed through literature review, in-depth interviews with experts and expert panel meetings. Content and construct validity was evaluated using content validity index (CVI) and content validity ratio (CVR) indexes and exploratory and confirmatory factor analysis, respectively. Cronbach α coefficient was calculated to determine the internal consistency.

RESULTS:

A 28-item questionnaire with seven factors was developed. Factors included macro policy-making and management of pandemic, pandemic control policies implementing at all levels and their effectiveness, providing protective equipment and medicine for hospitals and public, prevention of negative socio-economic consequences of the pandemic, public participation, informing and public education and public behavior. The questionnaire reliability was calculated to be α = 0.959. Based on the experts' opinion, tool content validity was estimated to be CVR = 0.73, CVI = 0.89. RMSEA = 0.07 revealed a good model fit as the confirmatory factor analysis results for the tool.

CONCLUSION:

COV-Trust tool is a well-fit tool to be used during this pandemic for improving policies effectiveness and could be used in similar situations as it determines the success of public health interventions.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Qualitative research / Randomized controlled trials / Reviews Limits: Humans Language: English Journal: BMC Public Health Journal subject: Public Health Year: 2022 Document Type: Article Affiliation country: S12889-022-14272-9

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Qualitative research / Randomized controlled trials / Reviews Limits: Humans Language: English Journal: BMC Public Health Journal subject: Public Health Year: 2022 Document Type: Article Affiliation country: S12889-022-14272-9