Essential Newborn Care Virtual Simulations for Skills Retention in Newborn Care.

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Tác giả: Christianah Adeboboye, Ime E Asangansi, Sara K Berkelhamer, Matthew W Cook, Oluwadamilola O Ekhalufoh, Cyril M Engmann, Chinyere Ezeaka, Iretiola B Fajolu, Omolola S Fashola, John Feltner, Joseph D Fisher, Daniel S Hippe, Olukemi M Imoukhuede, Jasmine M James, Olubukola Olawuyi, Nahee Park, Victoria Quach, Amanda K Stiffler, Rachel A Umoren

Ngôn ngữ: eng

Ký hiệu phân loại: 499.9625 Non-Austronesian languages of Oceania, Austronesian languages, miscellaneous languages

Thông tin xuất bản: United States : JAMA network open , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 472743

 IMPORTANCE: Newborn mortality accounts for approximately 47% of all mortality of children under the age of 5 years. Virtual simulation may be a viable approach to support retention of essential newborn care knowledge and skills among health care professionals in low- and middle-income countries. OBJECTIVE: To evaluate the association between mobile virtual simulation using Virtual Essential Newborn Care (vENC) and knowledge and skills retention in early newborn care in low-resource settings and to propose a frequency of virtual simulation use for among health care professionals who care for newborns in low-resource settings. DESIGN, SETTING, AND PARTICIPANTS: This cohort study was conducted at 23 primary, secondary, and tertiary health care facilities in Lagos, Nigeria, for 6 months between December 1, 2022, and June 30, 2023. Participants included nurses and midwives who participated in deliveries and provided newborn care. Potential participants who attended a Helping Babies Breathe or Essential Newborn Care (ENC) course within the past 1 year were excluded. EXPOSURES: All participants received in-person training using the World Health Organization ENC 1 and ENC 2 curricula along with virtual simulation practice at variable recommended frequencies for 6 months after course completion. MAIN OUTCOMES AND MEASURES: Primary outcomes included assessments of bag-valve-mask (BVM) ventilation skills, and performance on ENC 1 and ENC 2 case A and B scenarios conducted by trained research assistants before, immediately after, and 6 months after the in-person course. All scores ranged from 0% to 100%, with higher scores indicating better performance. RESULTS: Of 70 enrolled participants (67 of 69 [97%] female), 62 (89%) completed the 6-month follow-up. Immediate posttraining performance (median [IQR] scores: BVM ventilation skills, 93% [86%-100%]
  ENC 1 case scenario A, 72% [61%-78%]
  ENC 1 case scenario B, 76% [68%-88%]
  ENC 2 case scenario A, 80% [73%-87%]
  and ENC 2 case scenario B, 88% [70%-95%]) improved compared with pretraining performance for all skill assessments (median [IQR] scores: BVM ventilation skills, 57% [29%-64%]
  ENC 1 case scenario A, 39% [28%-50%])
  ENC 2 case scenario A, 33% [20%-45%]) (all P <
  .001). There were further gains in performance at the 6-month follow-up assessment for BVM ventilation (median [IQR], 100% [86%-100%]
  P = .04) and the ENC1 and ENC2 assessments by case scenario (case scenario A: ENC 1 median [IQR] score, 78% [72%-83%]
  P = .001 and ENC 2 median [IQR] score, 87% [80%-93%]
  P = .008
  and case scenario B: ENC 1 median [IQR] score, 88% [76%-92%]
  P = .009 and ENC 2 median [IQR] score, 93% [80%-100%]
  P = .004) relative to the immediate postcourse assessment scores. CONCLUSIONS AND RELEVANCE: Findings of this cohort study suggest that the app-based simulations may be effective in supporting the retention of knowledge and skills following ENC training and may contribute to further performance gains for health care professionals in low- and middle-income countries. More clinical and implementation research is needed to explore the impact of virtual simulations on health professionals' clinical practices and neonatal outcomes.
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