Specific Phobia, Other
Conditions
Keywords
nomophobia, health care providers, self-esteem, mental health
Brief summary
Assess the effect of a counseling intervention adopted from heath belief model merged with multiple smart phone-based action cues on the level of nomophobia among participants with severe nomophobia Assess the effect of a counseling intervention adopted from heath belief model merged with multiple smart phone-based action cues on the level of nomophobia among participants with severe nomophobia
Detailed description
In this study we seek to find if there is a relation between nomophobia level, self-esteem and mental health status, and discover whether a counseling intervention based on health belief model merged with smart phone-based action cues will decrease the level of nomophobia in participants with severe nomophobia. through an intervention based on health belief model merged with multiple smart phone action cues employed on the intervention group during 3 counselling sessions
Interventions
the counselling sessions were adopted from the health belief model with the cues of action depending on mobile phones as muting notifications, removing social media and using computers instead if possible.
Sponsors
Study design
Masking description
participants into both the intervention and control groups didnot know of the other participants or the ongoing intervention nature
Intervention model description
pre intervention assessment of nomophobia score, mental health and self-esteem scores, then random allocation into intervention or control groups, intervention group received counselling sessions based on health belief model merged with smart phone action cues, post intervention scores were remeasured and compared to control group
Eligibility
Inclusion criteria
* Owning and actively using a smartphone. * Understanding verbal English instructions. * Willing to participate in a possible counseling session * physicians currently working in kasr alainy hospital
Exclusion criteria
* Having any diagnosed psychiatric disorder. * Participants taking medications that could affect psychological status e.g: B blockers, mood stabilizers.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Study the effect of the counseling program on severe nomophobia score among participants in the intervention group. | 18 months | apply the counseling program and reassess the nomophobia level post-intervention by using the nomophobia questionnaire developed by Yildirim & Correia (2015). With a total of twenty statements on the questionnaire, responses were recorded on a 7-point Likert scale, with 7 representing strongly agree and 1 representing strongly disagree. The lack of nomophobia corresponded to a score of 20. Mild nomophobia was indicated by questionnaire scores ranging from 21 ≤ to \< 60. On the other hand, scores between 60 and less than 100 suggested a moderate level of nomophobia, while scores between 100 and 140 indicated a severe level of nomophobia |
| Compare the level of nomophobia between intervention and control group post intervention. | 24 months | apply the counseling program and comparing the nomophobia score with the control group post intervention at same time frame, by using the nomophobia questionnaire developed by (Yildirim & Correia, 2015) where severe nomophobes are those with a score above 100, comparing the post counseling sessions score between the intervention or the control group whether there was a significant decline in the nomophobia score. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| correlation between nomophobia scores, self-esteem scores and mental health scores | 18 months | pre and post intervention nomophobia scores using the nomophobia questionnaire were correlated to the self-esteem scores using state self esteem questionnaire with r value expressed to show whether the correlation is positive or negative and it's strength. as well the nomophobia scores using nomophobia questionnaire were correlated to the mental health scores using the mental health inventory questionnaire, where positive r indicates positive correlation and negative r indicates an inverse correlation, the strength of the correlation is determined by the value of r. |
Countries
Egypt