Development and Psychometric Validation of a Screening Questionnaire to Detect Excessive Menstrual Blood Loss That Interferes in Quality of Life: The SAMANTA Questionnaire

Calaf, Joaquím; Cancelo, Marı́a Jesús; Andeyro, Mercedes; Jiménez, Juan Manuel Labrador; Perelló, Josep Maria Mata; Correa, Marta; Parera, Núria; Lete, Luis Ignacio; Caballero‐Calvo, Andrés; Doval, José Luis; Duarte, Raquel; García, José Luis Padilla; Colomé, C. Ricart

doi:10.1089/jwh.2018.7446

Cited by 8 publications

(16 citation statements)

References 19 publications

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“…The study population consisted of 211 women with PBAC-confirmed HMB and 153 women without it (controls), whose sociodemographic and clinical characteristics have already been published. 16 Briefly, the mean age was 37.5 ± 8.9 years for women with HMB and 32.4 ± 8.0 years for women without HMB ( p < 0.001); overall, 89.3% were Spanish. Sixty-three percent versus 41.2% presented dysmenorrhea, respectively ( p < 0.0001), and 16.1% versus 5.3% presented intermenstrual bleeding ( p = 0.0014).…”

Section: Methodsmentioning

confidence: 95%

“…The design of the psychometric validation study has been described elsewhere. 16 Briefly, it was multicenter cross-sectional study in consecutive women aged ≥18 years seen at 11 Spanish hospitals who were at childbearing age. HMB cases consisted of women presenting HMB as confirmed by PBAC within the previous 3 months.…”

Section: Methodsmentioning

confidence: 99%

“…Sociodemographic and clinical data were recorded during a single routine clinical visit, as described elsewhere. 16 During this visit, the PBAC was recorded when available, as mentioned previously. PBAC score ranged from 3 to 358.…”

Section: Methodsmentioning

confidence: 99%

“…It is only validated in Spanish. 16 Two VAS measurements, one to assess the VASInt and the other to assess its VASImp. VAS scores were recorded by making a handwritten mark on a 100-mm horizontal line representing a continuum between “No bleeding at all” (scored 0) and “The heaviest possible bleeding I have ever seen” (scored 100) for VASInt and “It does not interfere with my daily activities at all” (scored 0) and “It totally interferes with my daily activities” (scored 100) for VASImp.…”

Section: Methodsmentioning

confidence: 99%

“…, with EML that interferes with QoL) in clinical practice. 16 This tool, addressing both quantitative and qualitative aspects of HMB, has shown a sensitivity of 86.7% and a specificity of 89.5% to classify women as with PBAC-confirmed HMB or without it. Unfortunately, it has not been validated in other languages or cultural environments.…”

Section: Introductionmentioning

confidence: 98%

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Heavy Menstrual Bleeding-Visual Analog Scale, an Easy-to-Use Tool for Excessive Menstrual Blood Loss That Interferes with Quality-of-Life Screening in Clinical Practice

Perelló

Pujol²,

Perez³

et al. 2022

Women's Health Reports

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Background: Heavy menstrual bleeding (HMB) is defined as excessive menstrual blood loss that interferes with quality of life (QoL). The methods for assessing HMB are not suited for clinical practice. We analyzed the validity of a combined visual analog scale (VAS) tool assessing the intensity of menstrual bleeding (VASInt) and its impact on activities of daily living (VASImp) to identify women with HMB. Materials and Methods: Analysis conducted in the data set used to validate the Spanish HMB screening tool SAMANTA questionnaire. A logistic regression analysis was used to construct the model. Reference standard was the pictorial blood loss assessment chart (PBAC). The performance of the HMB-VAS and the SAMANTA questionnaire was compared. Correlation with SAMANTA questionnaire, PBAC, and other QoL measurements was assessed. Results: The resulting function (HMB-VAS score = 10.86 × VASInt score +2.48 × VASImp score) showed a slightly lower accuracy versus the SAMANTA questionnaire (86.8% vs. 87.9%) but a similar area under the curve: 0.9396 versus 0.943, respectively ( p = 0.6605). The cutoff point was established as 700. After rounding the regression coefficients, the resulting function (11 × VASInt +2 × VASImp) showed 87.6% accuracy. The correlation of HMB-VAS with the SAMANTA questionnaire was strong ( r : 0.79819; p < 0.0001), whereas the correlation was moderate to strong with the PBAC (0.59299; p < 0.0001) and weak with the QoL (EuroQoL five dimensions five levels questionnaire [EQ-5D-5L]) and well-being (Psychological General Well-Being Index [PGWBI]) scales (EQ-5D-5L VAS and Index: −0.20332 and −0.24384; PGWBI: −0.21680; p < 0.0001 for both). Conclusion: The HMB-VAS shows good performance for HMB screening, providing an easy-to-use alternative to other psychometric tools.

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Section: Methodsmentioning

confidence: 95%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

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