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Hasil Pencarian

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Rita Mustika
Abstrak :
Pengembangan humanisme sebagai inti profesionalisme diperlukan karena dokter profesional masa kini dituntut melakukan pelayanan berpusat pada pasien dan mengesampingkan kepentingan pribadi. Pengembangan humanisme dipengaruhi persepsi mahasiswa terhadap lingkungan pembelajaran terutama di klinik. Meskipun demikian, belum ada instrumen untuk menilai hal tersebut. Tujuan penelitian ini adalah menyusun instrumen penilaian iklim humanis lingkungan pembelajaran klinis. Penelitian ini menggunakan desain sequential exploratory mixed method dan dilakukan di Rumah Sakit dr. Cipto Mangunkusumo (RSCM) pada bulan Januari – Desember 2019. Penelitian dilakukan dalam empat tahap yaitu penyusunan instrumen, uji coba, penyusunan model iklim humanis lingkungan pembelajaran klinis dan implementasi. Tahapan penyusunan instrumen dimulai dengan sintesis konsep iklim humanis lingkungan pembelajaran klinis melalui telaah pustaka, focus group discussion dan wawancara mendalam. Dari penyusunan tersebut diperoleh konsep yang dijadikan rujukan draf instrumen Humanistic Climate Measure (H-CliM) yang terdiri atas 89 butir pertanyaan; 7 domain. Tahap kedua, dilakukan uji coba H-CliM bersama instrumen untuk menilai kompetensi humanisme Integrity Compassion Altruism Respect Empathy (ICARE). Kedua instrumen terbukti valid (r > 0,3) dan reliabel (α-cronbach > 0,7). Dilakukan analisis faktor untuk memvalidasi konstruk dan menghasilkan instrumen H-CliM final (46 butir pertanyaan; 4 domain) serta ICARE final (15 butir pertanyaan; 2 domain). Analisis receiver operating characteristic (ROC) menghasilkan titik potong ≥ 184,5 artinya, skor H-CliM ≥ 184,5 tergolong humanis. Analisis regresi logistik menghasilkan model iklim humanis yang 62% dapat menjelaskan variasi iklim humanis (R2 = 0,62). Model tersebut adalah: Logit P (iklim humanis) = 0,782 (rotasi klinis non-bedah) + 0,048 (kurikulum formal dan informal terkait humanisme) – 0,213 (hidden curriculum) + 0,036 (relasi dan fasilitas yang mendukung humanisme) + 0,044 (pengembangan kepribadian dan profesionalisme) + 0,409 (perempuan) + e. Penelitian ini berhasil mengembangkan instrumen penilaian iklim humanis yang valid dan reliabel yaitu instrumen H-CliM (α-Cronbach = 0,86). Lingkungan pembelajaran non-bedah 2 kali lebih humanis dibanding bedah (p = 0,0001). Persepsi terhadap iklim humanis lingkungan pembelajaran klinis berkorelasi lemah dengan capaian kompetensi humanisme. ......The development of humanism as the core of professionalism is crucial, seeing that professional doctors today are expected to carry through patient-centered services and put aside their personal interests. In clinical setting, cultivating humanism is highly influenced by students 'perceptions on clinical learning climate, therefore, it is necessary to assess that perception. However, to date there is no instrument to assess clinical learning climate. The purpose of this study is to develop an instrument to assess humanistic learning climate. This study utilizes a sequential exploratory mixed method design and is conducted at the Cipto Mangunkusumo hospital (RSCM) in January - December 2019. The research was conducted in four stages, which are the preparation of instruments, trials, development of humanistic climate models of clinical learning environments and implementation of the instrument. The stages of instrument preparation begin with the synthesis of concept of the humanistic clinical learning climate through literature review, focus group discussions and in-depth interviews. Afterward, the concept that was obtained utilized as a reference for drafting instrument of Humanistic Climate Measure (H-CliM) consisting of 89 questions; 7 domains. The second stage, an H-CliM trial was carried out along with instruments to assess the competence of the Integrity Compassion Altruism Respect Empathy (ICARE). Both instruments proved to be valid (r > 0.3) and reliable (α-Cronbach > 0.7). Factor analysis was carried out to validate the construct and produce the final H-CliM instrument (46 questions; 4 domains) and the final ICARE (15 questions; 2 domains). Receiver operating characteristic (ROC) analysis resulted in cut-off point of 184.5, which means that the H-CliM score ≥ 184.5 was classified as humanistic climate. Humanistic climate models obtained from the logistic regression analysis could explain 62% of variation of humanistic climate (R2= 0,62). The model is: Logit P (humanistic climate) = 0.782 (non-surgical clinical rotation) + 0.048 (formal and informal curriculum related to humanism) - 0.213 (hidden curriculum) + 0.036 (relationship and facilities that support humanism) + 0.044 (personality development and professionalism) + 0,409 (female) + e. This research succeeded in developing a valid and reliable humanistic climate assessment instrument, the H-CliM instrument (α-Cronbach = 0,86). Compare with surgical rotation, the non-surgical learning environment is twice more humanistic (p = 0.0001). Perceptions of the humanistic climate of the clinical learning environment are weakly correlated with the achievement of humanism competencies.
Jakarta: Fakultas Kedokteran Universitas Indonesia, 2020
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UI - Disertasi Membership  Universitas Indonesia Library
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St. Louis: Mosby, 1986
610.73 CLI
Buku Teks  Universitas Indonesia Library
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Fletcher, Robert H.
Baltimore: Williams and Wilkins, 1984
614.4 FLE c
Buku Teks  Universitas Indonesia Library
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Reilly, Dorothy E.
Massachusetts: Jones and Bartlett , 1999
610.73 REI c
Buku Teks  Universitas Indonesia Library
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New York: Macmillan, 1987
616.002 8 BIO
Buku Teks  Universitas Indonesia Library
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Elwyn, Glyn
Abstrak :
In the past decade, the relationship between patient choice and clinical decision making has been seen as increasingly significant by healthcare systems around the globe. This 3rd edition of Shared Decision Making in Health Care addresses important developments in this area, including the placing of shared decision making (SDM) at the centre of the US 2009 Affordable Care Act by Obamacare. This resource examines what makes an effective decision-making process from both theoretical and practical viewpoints, and the benefits and obstacles arising in shared patient-clinician decision making. It begins by putting shared decision making in a real-world context, examining its role in customized rather than commercialized healthcare, and in the achievement of allocative efficiency in health systems. It then provides theoretical and practical information for clinicians on the inclusion of patients in decision making and teaching SDM. Research is presented using systematic reviews and case studies to provide an understanding of the theoretical and practical aspects of preparing for, developing, and implementing SDM. The resource then relates SDM to broader issues such as health inequalities and quality improvement, and ends by examining ways in which SDM can be promoted by different population groups.
Oxford: Oxford University Press, 2016
e20470363
eBooks  Universitas Indonesia Library
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Philadelphia: J.B. Lippincott , 1986
610.73 MED
Buku Teks SO  Universitas Indonesia Library
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Reilly, Dorothy E.
Norwalk, Connecticut: Appletton & Lange, 1985
610.73 REI c
Buku Teks  Universitas Indonesia Library
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Beardsmore, Caroline. author
Abstrak :
Getting involved in medical and biomedical research through necessity or personal choice can be a testing experience. Each step of the process brings its own challenges, from liaising with supervisors, to the lack of opportunities to promote completed research.This brand new How to provides a complete guide to the process: from the planning stages, to execution, write-up, preparation for the viva examination, and how to maximise the impact of your research. It ensures you get the most out of the experience, both in terms of personal development and academic achievement, and
Chichester : Wiley-Blackwell,, 2013
610.724 BEA h
Buku Teks  Universitas Indonesia Library