A physician-nurse partnership via online healthcare platforms protects infertile women from anxiety and depression: A multi-center prospective study from Shanghai, China.

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A physician-nurse partnership via online healthcare platforms significantly reduced anxiety and depression scores, shortened outpatient waiting times, and increased platform usage among infertile women compared to routine treatment.

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This multi-center prospective study evaluated the impact of a physician-nurse partnership delivered through online healthcare platforms on psychological well-being in infertile women. Researchers randomly assigned 180 participants to either an intervention group receiving guided health education or a routine treatment control group, measuring outcomes via self-rating anxiety and depression scales. The results demonstrated that the intervention group experienced significantly lower scores for both anxiety and depression, alongside reduced outpatient waiting times and increased platform usage compared to the control group. This paper is centrally about infertility management and mental health support, serving as a relevant model for patient-centered care strategies often utilized by individuals with endometriosis-related infertility.

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Abstract

Effective health interventions are a priority for future infertility research, and effective interventions in patient-centered care are still needed. A multi-center prospective study was conducted in order to investigate the effects of a physician-nurse partnership (patients receive guidance and health education via online healthcare platforms) on depression and anxiety disorders in infertile women. The women were randomly assigned to a physician-nurse partnership group (n = 90) or a routine treatment group (n = 90). The primary endpoints were self-rating anxiety scale and self-rating depression scale scores. This study also examined the waiting time as an outpatient and the frequency of using online medical platforms. Compared to the routine treatment group, scores on the self-rating anxiety scale (48.4) and the self-rating depression scale (48.0) were significantly lower in the physician-nurse partnership group (p = 0.004, p = 0.001). Moreover, the mean waiting time (3.4) was shorter and online platforms (6.1) were used more frequently in the physician-nurse partnership group than in the routine treatment group (p < 0.001, p < 0.001). These data suggest that a physician-nurse partnership could reduce patients' anxiety, depression, and their waiting time as an outpatient.
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Correspondence A physician-nurse partnership via online healthcare platforms protects infertile women from anxiety and depression: A multi-center prospective study from Shanghai, China 2022 Volume 4 Issue 5 Pages 273-277 Details Abstract Effective health interventions are a priority for future infertility research, and effective interventions in patient-centered care are still needed. A multi-center prospective study was conducted in order to investigate the effects of a physician-nurse partnership (patients receive guidance and health education via online healthcare platforms) on depression and anxiety disorders in infertile women. The women were randomly assigned to a physician-nurse partnership group (n = 90) or a routine treatment group (n = 90). The primary endpoints were self-rating anxiety scale and self-rating depression scale scores. This study also examined the waiting time as an outpatient and the frequency of using online medical platforms. Compared to the routine treatment group, scores on the self-rating anxiety scale (48.4) and the self-rating depression scale (48.0) were significantly lower in the physician-nurse partnership group (p = 0.004, p = 0.001). Moreover, the mean waiting time (3.4) was shorter and online platforms (6.1) were used more frequently in the physician-nurse partnership group than in the routine treatment group (p < 0.001, p < 0.001). These data suggest that a physician-nurse partnership could reduce patients' anxiety, depression, and their waiting time as an outpatient. © 2022 National Center for Global Health and Medicine Favorites & Alerts Recently viewed articles

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