Ambulatory medical services utilization for menstrual disorders among female personnel of different medical professions in Taiwan: a nationwide retrospective cohort study
Notice bibliographique
Résumé
BACKGROUND: Menstrual disorders and their adverse symptoms can have a deleterious effect on both the private and working lives of women. Previous studies indicated that female nurses have elevated risk of menstrual disorders. Moreover, female nurses showed a higher incidence of ambulatory care visit for genitourinary diseases compared with other female medical personnel. However, little is known whether the medical services utilization for menstrual disorders were different among personnel from various medical professions. Therefore, the present study compared the ambulatory medical services utilization for menstrual disorders among personnel of six different medical professions in Taiwan using a nationwide, population-based health claim research database. METHODS: The National Health Insurance Research Database (NHIRD) was used to identify female medical professionals, aged 18 to 45 years, who obtained their licenses during January 1, 2000 to December 31, 2012. Personnel from six different medical professions were examined and they included (1) medical technologists and therapists, (2) registered nurses, (3) physicians, (4) doctors of Chinese medicine, (5) dentists, and (6) pharmacists. Diagnoses of menstrual disorders, based on International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes, were obtained from the ambulatory medical services utilization that occurred after their license date. Cox proportional hazards model was used to assess the hazards of medical services utilization for menstrual disorders using medical technologists and therapists as the reference category. RESULTS: A total of 7653 medical personnel were included in the analysis. Using the group containing medical technologists and therapists as the reference category, registered nurses (adjusted hazards ratio [AHR] = 1.13, p = 0.018) and doctors of Chinese medicine (AHR = 2.52, p < 0.001) showed a significant increased risk of medical services utilization for menstrual disorders. Conversely, physicians showed a significant decreased risk of medical services utilization for menstrual disorders (AHR = 0.58, p < 0.001). Regarding the nine specific menstrual disorders observed in this study, registered nurses and doctors of Chinese medicine showed an increased risk in six and four of them, respectively. Pharmacists showed an increased risk only in menorrhagia (AHR = 1.64, p = 0.020) and dentists showed no significant differences in any of the nine specific menstrual disorders compared with medical technologists and therapists. Physicians showed a significant decreased risk all specific menstrual disorders except menorrhagia and dysfunctional uterine bleeding. CONCLUSIONS: Findings from this population-based cohort study revealed that, compared with medical technologists and therapists, registered nurses and doctors of Chinese medicine exhibited significant increased risks in medical services utilization for menstrual disorders whereas physicians showed a significant decreased risk in menstrual disorders. Further studies should be conducted to delineate whether the differences in the medical services utilization is an indicator of risk of menstrual disorders or the results of varying patterns of health care seeking behavior among women of different medical professions.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».