The Processes by Which Midwives at Maternity Clinics Recognized “Parents and Children of Concern” and Decide Pass on This Information to Other Institutions:

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Other Title
  • 産婦人科病院・診療所の助産師が「気になる親子」を他機関への情報提供ケースとして確定するプロセス
  • with an Aim to Preventing Child Abuse (Report 1)
  • ─ 子ども虐待の発生予防を目指して（第１報） ─

Abstract

<p>Purpose: This study aimed to elucidate the process by which midwives at maternity clinics recognized “parents and children of concern” and decide to pass on the information on these case to prevent child abuse. <br>Methods: Data obtained from interviews of eight midwives were analyzed using the Modified Grounded Theory Approach (M-GTA). <br>Results: From the perspective that midwives are able to recognize potential child abuse, the processes by which midwives at maternity clinics identify parents and children of concern and decide to pass on this information involve “looking for risks during care” and “noticing signs for concern”. Then, “the anticipated long-term child rearing is determined” based on the “verifications, judgments, and support primarily by the individuals in charge”, i.e., midwife and head nurse. Decisions were made in accordance with “the guidance from the authority, i.e., the medical director”, and the next stage will be “overcoming the hurdle of gaining agreement from the mother and family”. <br>Conclusions: Individuals in charge provided support for “parents and children of concern” at maternity clinics; hence, a centralized service was established for cooperation with other institutions. We found that the medical director, who held an authoritative position, had great influence on our decision-making. This study also recognized environmental characteristics of maternity clinics, where detecting risks and confirming situations were difficult.</p>

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Details 詳細情報について

  • CRID
    1390564238085363712
  • NII Article ID
    130007635414
  • DOI
    10.15065/jjsnr.20181001039
  • ISSN
    21896100
    21883599
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
    • KAKEN
  • Abstract License Flag
    Disallowed

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