Delphi method to determine a list of questionnaire-assessed parameters in the follow-up of patients with inflammatory bowel disease

Capa

Citar

Resumo

BACKGROUND: Patients with inflammatory bowel disease often require lifelong follow-up by a clinician. Telemedicine monitoring is a promising area of such healthcare services, often based on the evaluation of patients’ remote questionnaire results by a medical practitioner.

AIM: To define, using the Delphi method, a list of questionnaire-assessed parameters for monitoring and treating patients with IBD.

MATERIALS AND METHODS: The study was conducted in three stages. An electronic survey form was created to collect information, ensuring that the respondent’s experience was included when completing the survey. In the first stage, respondents answered an open-ended question about what parameters assessed by questionnaires should be monitored in patients with IBD. In the second stage, participants answered the same question but selected any number of items from a list. In the third stage, the responses were analyzed. The primary endpoint was a consensus on each parameter, defined as >75% respondent agreement.

RESULTS: The study had 15 participants, 13.3% of whom were male. Of all respondents, 46% worked in an outpatient setting, whereas 54% worked in an inpatient setting. Their ages ranged from 25 to 53 years, with 53% of the participants having 1–4 years of experience and 47% having 17–29 years of experience. None of the parameters reached a 75% agreement level based on the results of the first stage. In the second stage, respondents reached a consensus on 72% of the parameters. No relationship was found between respondents’ age, sex, years of experience, or job settings and responses in the first and second stages.

CONCLUSIONS: The final list of parameters recommended for evaluation during the monitoring and treatment of patients with IBD included abdominal pain, frequency of defecation and stool quality, presence of pathological stool impurities, body temperature, joint/muscle pain, sleep quality, anxiety, depression, work capacity for employed/ability to attend lessons for students, energy and quantity of vigor, fixation on the disease, patients’ general evaluation of their quality of life, and treatment adherence.

Sobre autores

Yuliya Shumskaya

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies

Autor responsável pela correspondência
Email: shumskayayf@zdrav.mos.ru
ORCID ID: 0000-0002-8521-4045
Código SPIN: 3164-5518
Rússia, Moscow

Dina Akhmedzyanova

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies

Email: AkhmedzyanovaDA@zdrav.mos.ru
ORCID ID: 0000-0001-7705-9754
Código SPIN: 6983-5991
Rússia, Moscow

Marina Mnatsakanyan

The First Sechenov Moscow State Medical University

Email: mnatsakanyan_m_g@staff.sechenov.ru
ORCID ID: 0000-0001-9337-7453
Código SPIN: 2015-1822

MD, Dr. Sci. (Med.), Professor

Rússia, Moscow

Ksenia Kolosova

The First Sechenov Moscow State Medical University

Email: kolosova_k_yu@staff.sechenov.ru
ORCID ID: 0000-0001-7641-2755

MD, Cand. Sci. (Med.)

Rússia, Moscow

Olga Tashchyаn

The First Sechenov Moscow State Medical University

Email: olgatash1@rambler.ru
ORCID ID: 0000-0001-6759-6820

MD, Cand. Sci. (Med.)

Rússia, Moscow

Marta Yurazh

The First Sechenov Moscow State Medical University

Email: yurazh_m_v@staff.sechenov.ru
ORCID ID: 0000-0002-4459-7481
Código SPIN: 4872-7130
Rússia, Moscow

Roman Reshetnikov

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies

Email: reshetnikov@fbb.msu.ru
ORCID ID: 0000-0002-9661-0254
Código SPIN: 8592-0558

Cand. Sci. (Phys.-Math.)

Rússia, Moscow

Bibliografia

  1. Romberg-Camps MJL, Bol Y, Dagnelie PC, et al. Fatigue and health-related quality of life in inflammatory bowel disease. Inflammatory Bowel Diseases. 2010;16(12):2137–2147. doi: 10.1002/ibd.21285
  2. Windsor JW, Kaplan GG. Evolving Epidemiology of IBD. Current Gastroenterology Reports. 2019;21(8. doi: 10.1007/s11894-019-0705-6
  3. Khalif IL, Shapina MV. Inflammatory bowel disease treatment in Eastern Europe. Current Opinion in Gastroenterology. 2017;33(4):230–233. doi: 10.1097/mog.0000000000000370
  4. Belousova EA, Shelygin YuA, Achkasov SI, et al. Clinical and Demographic Features and Treatment Approaches for Inflammatory Bowel Diseases (Crohn’s Disease, Ulcerative Colitis) in the Russia. The Primery Results of the Analysis of the National Register. Koloproktologia. 2023;22(1):65–82. (In Russ) doi: 10.33878/2073-7556-2023-22-1-65-82
  5. Pang L, Liu H, Liu Zh, et al. Role of Telemedicine in Inflammatory Bowel Disease: Systematic Review and Meta-analysis of Randomized Controlled Trials. Journal of Medical Internet Research. 2022;24(3):e28978. doi: 10.2196/28978
  6. Trieschmann K, Chang L, Park S, et al. The visceral sensitivity index: A novel tool for measuring GI-symptom-specific anxiety in inflammatory bowel disease. Neurogastroenterology & Motility. 2022;34(9). doi: 10.1111/nmo.14384
  7. Jackson BD, Con D, Gorelik A, et al. Examination of the relationship between disease activity and patient-reported outcome measures in an inflammatory bowel disease cohort. Internal Medicine Journal. 2018;48(10):1234–1241. doi: 10.1111/imj.13937
  8. Thomas PWA, Broeder N, Derikx M, et al. Impact of Biological Therapies and Tofacitinib on Real-world Work Impairment in Inflammatory Bowel Disease Patients: A Prospective Study. Inflammatory Bowel Diseases. 2022;28(12):1813–1820. doi: 10.1093/ibd/izac002
  9. Chen B, Zhou B, Song G, et al. Inflammatory bowel disease is associated with worse sexual function: a systematic review and meta-analysis. Translational Andrology and Urology. 2022;11(7):959–973. doi: 10.21037/tau-22-190
  10. Murphy MK, Black NA, Lamping DL, et al. Consensus development methods, and their use in clinical guideline development. Health Technology Assessment. 1998;2(3):I–IV. doi: 10.3310/hta2030
  11. Williams PL, Webb C. The Delphi technique: a methodological discussion. Journal of Advanced Nursing. 1994;19(1):180–186. doi: 10.1111/j.1365-2648.1994.tb01066.x
  12. Wilhelm W. Alchemy of the Oracle: the Delphi technique. The Delta Pi Epsilon Journal. 2001;43:6–26.
  13. Akins RB, Tolson H, Cole BR. Stability of response characteristics of a Delphi panel: application of bootstrap data expansion. BMC Medical Research Methodology. 2005;5(1). doi: 10.1186/1471-2288-5-37
  14. Diamond IR, Grant RC, Feldman BM, et al. Defining consensus: A systematic review recommends methodologic criteria for reporting of Delphi studies. Journal of Clinical Epidemiology. 2014;67(4):401–409. doi: 10.1016/j.jclinepi.2013.12.002
  15. Andel EM, Koopmann BDM, Crouwel F, et al. Systematic Review of Development and Content Validity of Patient-reported Outcome Measures in Inflammatory Bowel Disease: Do We Measure What We Measure? Journal of Crohn’s and Colitis. 2020;14(9):1299–1315. doi: 10.1093/ecco-jcc/jjaa057
  16. Barberio B, Zamani M, Black CJ, et al. Prevalence of symptoms of anxiety and depression in patients with inflammatory bowel disease: a systematic review and meta-analysis. The Lancet Gastroenterology & Hepatology. 2021;6(5):359–370. doi: 10.1016/s2468-1253(21)00014-5
  17. Halpin SJ, Ford AC. Prevalence of Symptoms Meeting Criteria for Irritable Bowel Syndrome in Inflammatory Bowel Disease: Systematic Review and Meta-Analysis. American Journal of Gastroenterology. 2012;107(10):1474–1482. doi: 10.1038/ajg.2012.260
  18. Yu N, Basnayake C, Connell W, et al. Interventions to Improve Adherence to Preventive Care in Inflammatory Bowel Disease: A Systematic Review. Inflammatory Bowel Diseases. 2022;28(8):1177–1188. doi: 10.1093/ibd/izab247
  19. Vinogradova IA, Nizovtsova LA, Omelyanskaya OV. Innovative strategic session in the scientific activity of the Center for Diagnostics and Telemedicine. Digital Diagnostics. 2023;3(4):414–420. (In Russ) doi: 10.17816/DD111833

Arquivos suplementares

Arquivos suplementares
Ação
1. JATS XML
2. Fig. 1. Distribution of the study participants according to their work experience as gastroenterologists.

Baixar (90KB)
3. Fig. 2. Study results (first stage). The red dotted line indicates 75% of the respondents.

Baixar (111KB)
4. Fig. 3. Study results (second stage). The red columns indicate parameters that received <75% of the responses.

Baixar (357KB)

Declaração de direitos autorais © Eco-Vector, 2023

Creative Commons License
Este artigo é disponível sob a Licença Creative Commons Atribuição–NãoComercial–SemDerivações 4.0 Internacional.

Este site utiliza cookies

Ao continuar usando nosso site, você concorda com o procedimento de cookies que mantêm o site funcionando normalmente.

Informação sobre cookies