Development of the Adolescent Health Concerns Inventory

Weiler, Robert M.; Sliepcevich, Elena M.; Sarvela, Paul D.

doi:10.1177/109019819302000414

Cited by 15 publications

(11 citation statements)

References 7 publications

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“…Experts were asked to review items using a Web-based survey administered on Qualtrics. Within the survey, the experts were asked to evaluate the following characteristics by whether or not each item adequately reflected each characteristic (yes/no): brevity, focus, clarity, assurance, readability, and adequacy of response options [ 33 , 38 ]. Experts were provided with the definition of each of these characteristics.…”

Section: Methodsmentioning

confidence: 99%

Designing and Testing an Inventory for Measuring Social Media Competency of Certified Health Education Specialists

Alber¹,

Bernhardt²,

Stellefson³

et al. 2015

J Med Internet Res

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BackgroundSocial media can promote healthy behaviors by facilitating engagement and collaboration among health professionals and the public. Thus, social media is quickly becoming a vital tool for health promotion. While guidelines and trainings exist for public health professionals, there are currently no standardized measures to assess individual social media competency among Certified Health Education Specialists (CHES) and Master Certified Health Education Specialists (MCHES).ObjectiveThe aim of this study was to design, develop, and test the Social Media Competency Inventory (SMCI) for CHES and MCHES.MethodsThe SMCI was designed in three sequential phases: (1) Conceptualization and Domain Specifications, (2) Item Development, and (3) Inventory Testing and Finalization. Phase 1 consisted of a literature review, concept operationalization, and expert reviews. Phase 2 involved an expert panel (n=4) review, think-aloud sessions with a small representative sample of CHES/MCHES (n=10), a pilot test (n=36), and classical test theory analyses to develop the initial version of the SMCI. Phase 3 included a field test of the SMCI with a random sample of CHES and MCHES (n=353), factor and Rasch analyses, and development of SMCI administration and interpretation guidelines.ResultsSix constructs adapted from the unified theory of acceptance and use of technology and the integrated behavioral model were identified for assessing social media competency: (1) Social Media Self-Efficacy, (2) Social Media Experience, (3) Effort Expectancy, (4) Performance Expectancy, (5) Facilitating Conditions, and (6) Social Influence. The initial item pool included 148 items. After the pilot test, 16 items were removed or revised because of low item discrimination (r<.30), high interitem correlations (Ρ>.90), or based on feedback received from pilot participants. During the psychometric analysis of the field test data, 52 items were removed due to low discrimination, evidence of content redundancy, low R-squared value, or poor item infit or outfit. Psychometric analyses of the data revealed acceptable reliability evidence for the following scales: Social Media Self-Efficacy (alpha=.98, item reliability=.98, item separation=6.76), Social Media Experience (alpha=.98, item reliability=.98, item separation=6.24), Effort Expectancy(alpha =.74, item reliability=.95, item separation=4.15), Performance Expectancy (alpha =.81, item reliability=.99, item separation=10.09), Facilitating Conditions (alpha =.66, item reliability=.99, item separation=16.04), and Social Influence (alpha =.66, item reliability=.93, item separation=3.77). There was some evidence of local dependence among the scales, with several observed residual correlations above |.20|.ConclusionsThrough the multistage instrument-development process, sufficient reliability and validity evidence was collected in support of the purpose and intended use of the SMCI. The SMCI can be used to assess the readiness of health education specialists to effectively use social media for health promotio...

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Section: Methodsmentioning

confidence: 99%

Designing and Testing an Inventory for Measuring Social Media Competency of Certified Health Education Specialists

Alber¹,

Bernhardt²,

Stellefson³

et al. 2015

J Med Internet Res

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“…Based on these two studies, and together with Weiler’s study (16), whose standard deviation of subscales and total inventory means were reported as 11-31, a standard deviation of 31 was selected. The sample size (n = 410) was calculated based on 95% confidence level and a maximum difference of three points between the estimated and true values.…”

Section: Methodsmentioning

confidence: 99%

“…In this research, only section B was administered, which contains 150 health-related items divided into 12 subscales. These were Disease and Disorders, Substance Use and Abuse, Consumer Health, The Environment, Human Sexuality, Injury Prevention and Control, Personal Health, Social Health, Relationships, Emotional Health, Nutrition, and The Future (16). …”

Section: Methodsmentioning

confidence: 99%

Health Concerns of Iranian Adolescents: Protocol for a Mixed Methods Study

Baheiraei

Khoori

Ahmadi

et al. 2014

Iran Red Crescent Med J

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Background:Adolescents have particular health and developmental needs that suggest they should neither be treated as older children nor younger adults.Objectives:The aim of this paper is to report the protocol for a mixed methods study that set out to investigate the health concerns of Iranian adolescents and their sources of health information with the goal of identifying suitable strategies to address their health concerns.Materials and Methods:This mixed methods study consists of an explanatory sequential design to be conducted in two phases. The first phase was a population-based cross-sectional survey of 915, 14-18 year old adolescents who were selected by stratified cluster random sampling method from the 22 main municipal sectors of Tehran, Iran. They completed a series of self-administered questionnaires which were analyzed using quantitative approaches. The second phase was a qualitative study in which adolescents were selected using purposeful sampling for individual in-depth semi-structured interviews on the basis of the quantitative findings from the first phase. These data, together with a literature review and data obtained through nominal group technique, would then be used to in the development of strategies to reduce adolescents’ health concerns.Results:The findings of this mixed methods sequential explanatory study are expected to provide unique information about the health concerns of Iranian adolescents and their sources of information, which to date have received little attention.Conclusions:These data will provide a rich source of information that can be used by intervention programs, health professionals and policy makers in addressing the health concerns of adolescents, with the goal of facilitating a successful passage to adult life.

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“…Panelists were asked to assess the instructions, questions, and response options for the 12 items pertaining to NMPDU. The criteria for item assessment were based on 6 important attributes of survey instructions and questions (ie, focus, brevity, clarity, readability/vocabulary, assurance, and adequacy of response options) 24 . The panelists were also asked to use their professional judgment in determining the currency of “slang/street” terms for prescription drugs.…”

Section: Methodsmentioning

confidence: 99%

Development and Reliability of Items Measuring the Nonmedical Use of Prescription Drugs for the Youth Risk Behavior Survey: Results From an Initial Pilot Test

Howard¹,

Weiler²,

Haddox

2009

Journal of School Health

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Based on the expert panel review and the findings from our study, most of the 18 items developed to measure nonmedical use of prescription drugs among adolescents appear valid and reliable. The nonmedical use of prescription drugs ranks fourth among the most abused class of drugs by adolescents after alcohol, tobacco, and marijuana, respectively. The CDC should consider expanding the surveillance of these specific health-risk behaviors that are assuming new importance by including the items described in this article in future national surveys.

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Development of the Adolescent Health Concerns Inventory

Cited by 15 publications

References 7 publications

Designing and Testing an Inventory for Measuring Social Media Competency of Certified Health Education Specialists

Designing and Testing an Inventory for Measuring Social Media Competency of Certified Health Education Specialists

Health Concerns of Iranian Adolescents: Protocol for a Mixed Methods Study

Development and Reliability of Items Measuring the Nonmedical Use of Prescription Drugs for the Youth Risk Behavior Survey: Results From an Initial Pilot Test

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