|Year : 2018 | Volume
| Issue : 4 | Page : 120-125
Health professionals' perspectives on factors needed to implement nutrition strategy: A questionnaire validation study
Reem Saleh Al Gurg1, Mohammed Alameddine2, Amar Hassan Khamis3
1 College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, UAE
2 Strategy and Institutional Excellence, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, UAE
3 Department of Biostatistics, Hamadan Bin Mohammed College of Dental Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, UAE
|Date of Web Publication||28-Dec-2018|
Dr. Amar Hassan Khamis
Hamadan Bin Mohammed College of Dental Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Building 14, Dubai Healthcare City, Dubai
Source of Support: None, Conflict of Interest: None
Background: Noncommunicable diseases (NCDs) increasingly recognized as a serious, worldwide public health concern. According to the WHO, NCDs are currently responsible for two-thirds of global deaths annually. Nutritional food and unhealthy diet are contributing to an immense portion of NCDs. Exploring the role of nutrition in healthcare delivery with a particular focus on the United Arab Emirates (UAE) context is also aligned with the UAE Government's Vision 2021.
Aim: To develop a reliable and valid questionnaire that helps to assess the agreement about factors needed to implement a nutrition strategy in the UAE.
Materials and Methods: One hundred and sixty-one health professionals were invited to respond to a questionnaire assessing agreement with factors needed to implement a nutrition strategy. The questionnaire consisted of 11 factors, each containing four items that made a total of 44 items assessed on a 7-point Likert scale (1 strongly disagree to 7 strongly agree). The questionnaire was evaluated using factor analysis, and Cronbach's alpha was used to test the internal consistency of the responses of participants. Ethical approval was given by the Chair of Humanities and Health Sciences Research Ethics Panel (UAE).
Results: The questionnaire was validated by an expert panel. A factor analysis was carried out through responses of the health professional and revealed that the 11 factors are included in the questionnaire; only one item from the factor of resources and enablement was excluded: the exclusion of the item “hospital uses the lifespan approach in nutrition interventions” due to singularity and insufficient load of the variance extracted.
Conclusion: The study concluded that the questionnaire was valid and reliable on its form of 43 items divided into 11 factors to assess the agreement toward factors needed to implement a nutrition strategy in the UAE.
Keywords: Factor analysis, health, nutrition strategy, questionnaire, United Arab Emirates
|How to cite this article:|
Al Gurg RS, Alameddine M, Khamis AH. Health professionals' perspectives on factors needed to implement nutrition strategy: A questionnaire validation study. Int J Non-Commun Dis 2018;3:120-5
|How to cite this URL:|
Al Gurg RS, Alameddine M, Khamis AH. Health professionals' perspectives on factors needed to implement nutrition strategy: A questionnaire validation study. Int J Non-Commun Dis [serial online] 2018 [cited 2021 Jan 23];3:120-5. Available from: https://www.ijncd.org/text.asp?2018/3/4/120/248865
| Introduction|| |
Noncommunicable diseases (NCDs) are rising to epidemic proportions, worldwide.,, These diseases, which include cardiovascular conditions, some cancers, chronic respiratory conditions, and type 2 diabetes, affect people of all ages, nationalities, and classes. The role of nutrition in the combat of NCDs has been established by a number of studies., Various governments and health ministries have recently increased their attention on NCDs., Countries worldwide understand the impact of diseases such as coronary heart diseases, diabetes, and hypertension. In addition, the link between the role of proper nutrition and the decrease of heart disease, diabetes, and hypertension has been established.
In the Eastern Mediterranean region, cardiovascular disease, type 2 diabetes, metabolic syndrome, obesity, cancer, and osteoporosis have become the main causes of morbidity and mortality. The estimated mortality rate due to cardiovascular disease and diabetes ranged from 179.8 to 765.2 per 100,000 populations, with the highest rates in developing countries. The prevalence of overweight and obesity (body mass index ≥25 kg/m2) has reached an alarming level in most countries of the region, ranging from 25% to 82%, with a higher prevalence among women. The estimated mortality rate for cancer ranged from 61.9 to 151 per 100,000 populations.,,
In the United Arab Emirates (UAE), more than three-quarters of mortality (76%) is attributable to NCDs. The total number of NCD deaths in a total population of 9,154,000 is 11,000 and the risk of premature death from target NCDs is 17%. Exploring the role of nutrition in healthcare delivery in general and with a special focus on combating NCDs in the UAE is aligned with the UAE Government's Vision 2021. This entails health improvement focusing on the decrease of NCDs, specifically cardiovascular diseases by 25%, diabetes by 14%, cancers by 18%, and respiratory diseases by decreasing tobacco users by 15% of the current levels.
The execution of a strategy depends on the involvement of healthcare professionals in establishing a strategic nutrition plan that necessitates soliciting their agreement on stipulated factors. The primary aim of this study was to develop a valid and reliable questionnaire for healthcare professionals to assess the agreement about factors needed to implement a nutrition strategy in the UAE.
| Materials and Methods|| |
The study was carried out in private and public hospitals in the UAE, during 2014 as part of a Ph.D. thesis. The focus of the study was to assess the factors needed to implement a nutrition strategy according to the level of agreement. Hospitals invited to participate in the study are known to liaise with nutrition program across sector and had nutrition departments in operation. The questionnaires were distributed to various management hospitals in the UAE. Hospitals were informed that additional questionnaires can be provided if need be, none of the hospitals asked for additional questionnaires. The type of questionnaire used was a self-administered questionnaire. They were given sufficient time to respond to the questionnaire without promoting. The data collection was supervised completely by the investigator of the study. The healthcare professionals included into the sample are physicians, nurses, nutritionists and laboratory technicians, and other quality assurances.
Out of the 200 questionnaires distributed, 161 were received by the research team. This is equal to an 80.5% response rate; this was due to the different types of follow-up used. Telephone appointments were made to ensure the personnel designated by the management; based on their experience in nutrition, interventions were available on the drop-off day for the questionnaires. The designated personnel were individuals deem most experience in identification and implementation of nutrition strategies.
The questionnaire was constructed from the themes deduced from the systematic literature review. First, the questionnaire was validated by a team of international experts. Five experts on questionnaire design in the Middle East were asked to validate the questionnaire via e-mail, of whom four of which responded with feedback and one had no comments. The reviewers' feedback on the questionnaire design and content was then analyzed and divided into 11 factors, as shown in [Table 1]; strategy development, people and competencies, resources and enablement, process and activity, patient orientation, quality, people and competencies, values and care design, measurement and impact, innovation and best practice, teamwork and culture and diversity. Each of these factors consisted of four items with a level of agreement assessed on a 7-point Likert scale from 1 as strongly disagree to 7 strongly agree [Table 1]. In addition, the questionnaire contained some demographical variables such as gender, age, qualification, occupation, type of hospital (private or public), and the location of the hospital.
|Table 1: The strategic nutrition questionnaire with different factors and their items|
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Data entry and analyses were carried out using IBM SPSS Statistics version 21 (IBM Corp., Armonk, NY). Factor analysis was performed to measure the ability of the questions asked to relate to the actual construction that was intended to use. In the first step, the interitem correlation was explored. This created a matrix of correlation of all items. Eigenvalues and amount of variances explained were calculated for each factor and hence for each item.
At this stage, the risk of singularity and multicollinearity had to be taken into account (the item that is perfectly correlated R > 0.9). Therefore, subitems by factor were identified: (a) those failed to correlate with other and (b) those which demonstrated singularity. This was a prerequisite for the second step (i.e., reliability test) since the above items, if any, had been excluded. Kolmogorov–Wilk test of normality of reliability distribution of the scores was also done.
Internal consistency reliability test (test–retest measure of reliability) was then performed by administrating the same questionnaire to the same group of health professionals. The internal reliability estimates were calculated using Cronbach's alpha coefficient. It provides a conservative estimate of reliability and generally represents the lower bound to the reliability of a scale item. Cronbach's alpha coefficient ≥0.70 was taken as an acceptable criterion of reliability of the scale.
Ethical approval of this project was given by the Chair of Humanities and Health Sciences Research Ethics Panel (UAE). All the participants were consent for participation in the study.
| Results|| |
A total of 161 respondents replied to the questionnaire out of the 200 distributed. The item “the hospital uses the lifespan approach in nutrition interventions” was deleted from the questionnaire due to a problem of singularity and extracted variance 21.5% [Table 1] and [Table 2].
|Table 2: Display the load of variance explains per item and with each factor|
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[Table 2] displays the loadings of each item onto each factor, it represents the level of variance explained by the particular item for the corresponding factor, and the extraction is recommended to be at least 3%. This entails more evidence to exclude item “the hospital uses the lifespan approach in nutrition interventions” (with an extraction load of 0.215) in addition to its problem of singularity caused by this item. The rest of the items did not cause neither multicollinearity/singularity in the original correlation matrices nor of any of its extracted variance had its value <3%. As a result of that, all the items were included in the questionnaire under the corresponding factors.
After the exclusion of the item “the hospital uses the lifespan approach in nutrition interventions” from the questionnaire and factor analysis was running for the 43 items once regardless the categorization of items by factor, the test of Kaiser-Meyer-Olkin (KMO) and Bartlett's test of sampling adequacy revealed that the original correlation matrix was significantly not identity matrix; the KMO value was 0.930 and Bartlett's test with P < 0.001. No incidence of multicollinearity or singularity and the minimum extraction value of variance explained was 63.5%. The procedure confirmed that all the 43 items were included in the questionnaire. In addition, the internal consistency reliability was tested by Cronbach's coefficient for 43 items with the participant as the unit of analysis. The observed coefficient was 0.977, indicating very high reliability of the questionnaire.
[Table 3] shows that all the 161 responses for the items of agreement questionnaire were entered in a factor analysis, with a minimum of one eigenvalue for factor extraction for item-to-factor loading. All the matrices for the 11 factors are statistically significant therefore rejecting the hypothesis that the original correlation matrices are identity matrices for measures of sampling adequacy, P < 0.001; and hence, there are some relationships between the items will be included in the analysis for each factor. The procedure generated all the 11 factors were included, only one item from the second factor (resources and enablement). “The hospital uses the lifespan approach in nutrition interventions” was excluded due to singularity in the data. The explained variance ranged from 62.32% to 81.9%, depending on the factor, as result of this outcome no factor need to be excluded from the questionnaire.
|Table 3: A summary of results from factor analysis on the questionnaire per 11 factors for the agreement|
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The internal consistency reliability was tested by Cronbach's coefficient for each of the 11 factors in each of the four questions (except the second factor 3 question after exclusion of item “the hospital uses the lifespan approach in nutrition interventions”) with the participant as the unit of analysis. The observed coefficients ranged from 0.727 to 0.924, indicating exceptionally high reliability. By convention, a lenient cut-off of 0.60 is common in exploratory research; alpha should be at least 0.70 or higher to retain an item in an “adequate” scale. Many researchers require a cut-off value of 0.80 for a “good” scale.
| Discussion|| |
The increase of NCD creates a great burden on healthcare systems; hence, it is essential to the UAE government to have a thorough nutritional-based strategic plan to counter this trend. This questionnaire aims to understand the assessment of what influences the implementation of a nutritional-based strategy. It is built upon a hypothesis that the participants are the best experts in this respect. Nevertheless, the participant's opinion is based on many factors which include private or public sector, the degree to which they are involved in the strategy, and educational level.
Questionnaires seeking participants' opinion should be not only reliable, valid, and consistent but also concise and adequate [Table 2] and [Table 3]. This is especially so if the area studied is conventionally regarded as sensitive such as participants provide their expertise for establishing a strategic plan that will be implemented nationwide. The exclusion of the first item from the second component “the hospital uses the lifespan approach in nutrition interventions” was informed by the logical and pragmatic approach. This demanded that all the key components in the original questionnaire be retained. Furthermore, the remaining 43 items which covered major aspects of factors of nutrition strategic were more simply and clearly phrased for the decision-makers. Hence, it was gratifying to note that the reduction of the items from 44 in the original instrument to 43 in the present version did not result in a significant reduction in reliability, validity, or consistency of the instrument. Another point to raise is that either the number of factors of a strategic plan of the specific domain such as nutrition to affect the burden of NCDs or the number of professionals needed to validate this instrument is a real dilemma. The question of an overall number of factors and sample size that needed to validate the instrument of a strategic plan as general is very fluctuated in the literature.,,, In this study, the existing number of factors (11) and their subitems (43) have robust, reliable, internal consistency and validity. Unfortunately, the method of validation and reliability of an instrument is able to exclude the inadequate factors and items involved, but without any ability to test the completeness of neither factors nor the items per component.
| Conclusion|| |
The study concluded that the questionnaire was valid and reliable on its form of 43 items divided into 11 factors to assess the agreement toward factors needed to implement a nutrition strategy in the UAE.
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
| References|| |
Lopez AD, Mathers CD, Ezzati M, Jamison DT, Murray CJ, editors. Global Burden of Disease and Risk Factors. Washington, DC: Oxford University Press and World Bank; 2006.
World Health Organization. Preventing Chronic Diseases: A Vital Investment. Geneva: World Health Organization; 2005.
Adeyi O, Smith O, Robles S. Public Policy and the Challenge of Chronic Noncommunicable Diseases. Washington, DC: World Bank; 2007.
Lachat C, Otchere S, Roberfroid D, Abdulai A, Seret FM, Milesevic J, et al.
Diet and physical activity for the prevention of noncommunicable diseases in low- and middle-income countries: A systematic policy review. PLoS Med 2013;10:e1001465.
Musaiger AO, Al-Hazzaa HM. Prevalence and risk factors associated with nutrition-related noncommunicable diseases in the Eastern Mediterranean region. Int J Gen Med 2012;5:199-217.
Katz DL, Sarrel PM, Njike VY, Vinante V. Katz et al.
Respond. Am J Public Health 2013;103:e3.
Beaglehole R, Bonita R, Horton R, Adams C, Alleyne G, Asaria P, et al.
Priority actions for the non-communicable disease crisis. Lancet 2011;377:1438-47.
Islam SM, Purnat TD, Phuong NT, Mwingira U, Schacht K, Fröschl G, et al.
Non-communicable diseases (NCDs) in developing countries: A symposium report. Global Health 2014;10:81.
Alshishtawy MM. Vitamin D deficiency: This clandestine endemic disease is veiled no more. Sultan Qaboos Univ Med J 2012;12:140-52.
He B, Tang J, Ding Y, Wang H, Sun Y, Shin JH, et al.
Mining relational paths in integrated biomedical data. PLoS One 2011;6:e27506.
Brooke J, Ojo O. Enteral nutrition in dementia: A systematic review. Nutrients 2015;7:2456-68.
Hasan M, Mohieldein AH, Almutairi FR. Comparative study of serum 8-hydroxydeoxy-guanosine levels among healthy offspring of diabetic and non-diabetic parents. Int J Health Sci (Qassim) 2017;11:33-7.
United Arab Emirates Population Growth Rate – Demographics. Available from: http://www.indexmundi.com
. [Last retrieved on 2017 Apr 05].
Alshaikh MK, Filippidis FT, Al-Omar HA, Rawaf S, Majeed A, Salmasi AM, et al.
The ticking time bomb in lifestyle-related diseases among women in the gulf cooperation council countries; review of systematic reviews. BMC Public Health 2017;17:536.
Cronbach LJ. Coefficient alpha and the internal structure of tests. Psychometrika 1951;16:297-34.
Nunnally JC. Psychometric Theory. 3rd
ed. New York: McGraw-Hill; 1994.
Mosadeghrad AM. Factors influencing healthcare service quality. Int J Health Policy Manage 2014;3:77-89.
Al-Rubaish AM, Abdel Rahim SI, Hassan A, Ali AA, Mokabel F, Hegazy M, et al.
Developing questionnaires for students' evaluation of individual faculty's teaching skills: A Saudi Arabian pilot study. J Family Community Med 2010;17:91-5.
Chariyalertsak S, Wansom T, Kawichai S, Ruangyuttikarna C, Kemerer VF, Wu AW, et al.
Reliability and validity of Thai versions of the MOS-HIV and SF-12 quality of life questionnaires in people living with HIV/AIDS. Health Qual Life Outcomes 2011;9:15.
Reeder AI, Hammond VA, Gray AR. Questionnaire items to assess skin color and erythemal sensitivity: Reliability, validity, and “the dark shift”. Cancer Epidemiol Biomarkers Prev 2010;19:1167-73.
Pintrich PR, Smith DA, Garcia T, Mckeach WJ. Reliability and predictive validity of the motivated strategies for learning questionnaire (Mslq). Educ Psychol Measurement 1993;53;801-13.
[Table 1], [Table 2], [Table 3]