Unmet Financial Needs and Crowdfunding Patterns Among Patients With Endometriosis
Notice bibliographique
Résumé
INTRODUCTION: Endometriosis, affecting 10–15% of reproductive-aged females, significantly affects multiple aspects of life, including physical, social, and financial. The average cost of endometriosis to a patient ranges $1,459–20,239 per year. The concept of financial toxicity, the adverse effects that result from cancer’s cost, is well described in the oncology literature. Considering the decreased work productivity, financial toxicity may also play a role for endometriosis patients, who may turn to crowdfunding, the act of raising funds using internet-based means. OBJECTIVE: To describe crowdfunding patterns among patients with endometriosis, evaluate the impact of state of residence Medicaid expansion plan (MEP) status on campaign characteristics, and evaluate factors that are associated with money-raising success. METHODS: We queried the crowdfunding forum GoFundMe for the term “endometriosis.” We excluded campaigns that were not related to endometriosis or that did not originate in the United States. We then extracted and analyzed campaign characteristics and requests. To evaluate the impact of state Medicaid expansion status, we compared campaigns originating in states with MEP to those without and evaluated the proportion of campaigns from the latter group compared to the expected proportion based on the population in those states. To evaluate factors associated with money-raising success, we compared campaigns that raised below and above the median sum. RESULTS: Of 460 campaigns collected initially, 196 (63.2%) were published in the United States and were included and analyzed. The median monetary amount requested was $7,891.5, while the median total amount raised was $300.0. Only four (2.0%) campaigns met their goal. The most common reason for fundraising was to support routine living costs (n=126, 64.3%). When comparing campaigns from states with and without MEPs, the amounts requested in both groups were comparable (Figure 1A). However, campaigns from states with MEPs raised a significantly higher percentage of the goal amount (p=.039, Figures 1B and 2A). In addition, there was a significantly higher proportion of campaigns from states without MEPs compared to the expected population proportion (38.8% vs. 26.9%, p<.001, Figure 2B). When comparing campaigns that raised below and above the median sum, campaigns that raised above the median requested more funds (p=.018) and were more often from states with MEPs (p=.029). In multivariable logistic regression analysis, campaigns from states without MEPs were independently associated with raising below the median amount (aOR 0.46, 95% CI 0.24–0.86). CONCLUSIONS: Endometriosis crowdfunding campaigns rarely met their requested goal, the proportion of campaigns from states without MEPs was higher than expected, and these campaigns were associated with raising less money. Endometriosis can have a detrimental effect on patients’ work productivity and income. Crowdfunding campaigns have been shown to mitigate financial toxicity for cancer patients and can potentially play a similar role for endometriosis patients. Our data outlines the crowdfunding patterns for endometriosis to better understand the unmet needs of individuals affected by this condition. To the best of our knowledge, crowdfunding has not been described among patients with endometriosis. This study is limited by campaigns’ missing information, for example, insurance status.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».