Premenstrual and Menstrual Symptoms Rating Scales: Difference between revisions

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== Introduction ==
== Introduction ==


== Sub Heading 2 ==
== WaLIDD score ==
WaLIDD is the abbreviation for Working ability, Location, Intensity, Days of Pain, Dysmenorrhea. It was designed to help with the diagnosis of dysmenorrhea, predict the result of activity limitation, and predict the medical leave.
 
It is easy to apply, smaller delay time in application, and doesn't require a specialist to do<ref>Teherán AA, Piñeros LG, Pulido F, Guatibonza MC. [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5775738/ WalIDD score, a new tool to diagnose dysmenorrhea and predict medical leave in university students]. International journal of women's health. 2018;10:35</ref>.
 
'''Evidence:''' for predicting medical leave in university students it showed:
 
Good LR + 14.2 (95% CI, 13.5–14.9), LR − 0.00 (95% CI, undefined)<ref>Teherán AA, Piñeros LG, Pulido F, Guatibonza MC. WalIDD score, a new tool to diagnose dysmenorrhea and predict medical leave in university students. International journal of women's health. 2018;10:35.</ref>, and high sensitivity<ref>Rashidi Fakari F, Simbar M, Tahmasebi G, Ebadi A, Rashidi Fakari F, Nasiri M, Ghazanfarpour M. [https://jogcr.com/browse.php?a_id=329&sid=1&slc_lang=en&html=1 Efficacy of working ability, location, intensity, days of pain, dysmenorrhea (WaLIDD) and Verbal Rating Scale (Pain and Drug) in Diagnosing and Predicting Severity of Dysmenorrhea among Adolescents]: A Comparative Study. Journal of Obstetrics, Gynecology and Cancer Research (JOGCR). 2021 Feb 10;6(2):81-6.</ref>.
{| class="wikitable"
|+
!Working ability
!location
!Intensity
(Wong-Baker)
!Days of pain
|-
|0:None
|0: None
|0: Doesn't hurt
|0:0
|-
|1: Almost never
|1: 1 site
|1: Hurts little bit
|1: 1-2
|-
|2: Almost always
|2: 2-3 sites
|2: Hurts a little more- even more
|2: 2-3
|-
|3: Always
|3:sites
|3:  Hurts a whole a lot- worst
|3: 3->
|-
| colspan="4" |1-4 mild dymenorrhea
5-7 moderate dysmenorrhea
 
7-12 sever dysmenorrhea<ref>Teherán AA, Piñeros LG, Pulido F, Guatibonza MC. [https://www.researchgate.net/publication/322537941_WaLIDD_score_a_new_tool_to_diagnose_dysmenorrhea_and_predict_medical_leave_in_University_students#pf2 WalIDD score, a new tool to diagnose dysmenorrhea and predict medical leave in university students]. International journal of women's health. 2018;10:35.</ref>
|}


== Sub Heading 3 ==
== Sub Heading 3 ==
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<references />
<references />
[[Category:Womens Health]]
[[Category:Outcome Measures]]

Revision as of 23:55, 26 February 2022

Original Editor - User Name

Top Contributors - Khloud Shreif and Aminat Abolade  

Introduction[edit | edit source]

WaLIDD score[edit | edit source]

WaLIDD is the abbreviation for Working ability, Location, Intensity, Days of Pain, Dysmenorrhea. It was designed to help with the diagnosis of dysmenorrhea, predict the result of activity limitation, and predict the medical leave.

It is easy to apply, smaller delay time in application, and doesn't require a specialist to do[1].

Evidence: for predicting medical leave in university students it showed:

Good LR + 14.2 (95% CI, 13.5–14.9), LR − 0.00 (95% CI, undefined)[2], and high sensitivity[3].

Working ability location Intensity

(Wong-Baker)

Days of pain
0:None 0: None 0: Doesn't hurt 0:0
1: Almost never 1: 1 site 1: Hurts little bit 1: 1-2
2: Almost always 2: 2-3 sites 2: Hurts a little more- even more 2: 2-3
3: Always 3:sites 3: Hurts a whole a lot- worst 3: 3->
1-4 mild dymenorrhea

5-7 moderate dysmenorrhea

7-12 sever dysmenorrhea[4]

Sub Heading 3[edit | edit source]

Resources[edit | edit source]

  • bulleted list
  • x

or

  1. numbered list
  2. x

References[edit | edit source]

  1. ↑ Teherán AA, Piñeros LG, Pulido F, Guatibonza MC. WalIDD score, a new tool to diagnose dysmenorrhea and predict medical leave in university students. International journal of women's health. 2018;10:35
  2. ↑ Teherán AA, Piñeros LG, Pulido F, Guatibonza MC. WalIDD score, a new tool to diagnose dysmenorrhea and predict medical leave in university students. International journal of women's health. 2018;10:35.
  3. ↑ Rashidi Fakari F, Simbar M, Tahmasebi G, Ebadi A, Rashidi Fakari F, Nasiri M, Ghazanfarpour M. Efficacy of working ability, location, intensity, days of pain, dysmenorrhea (WaLIDD) and Verbal Rating Scale (Pain and Drug) in Diagnosing and Predicting Severity of Dysmenorrhea among Adolescents: A Comparative Study. Journal of Obstetrics, Gynecology and Cancer Research (JOGCR). 2021 Feb 10;6(2):81-6.
  4. ↑ Teherán AA, Piñeros LG, Pulido F, Guatibonza MC. WalIDD score, a new tool to diagnose dysmenorrhea and predict medical leave in university students. International journal of women's health. 2018;10:35.
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