• 제목/요약/키워드: welfare satisfaction

검색결과 1,642건 처리시간 0.022초

장애인의 치료만족도에 따른 지역사회중심재활에 관한 연구 (The status of care satisfactions of the disabled persons with community-based rehabilitation plan)

  • 이인학;박래준;김미란
    • The Journal of Korean Physical Therapy
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    • 제10권2호
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    • pp.13-32
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    • 1998
  • A questionaire was conducted to obtain ran satisfactions in information of the 325 disabled persons among the total 9,314 handicapped people in Taejon area, and was surveyed during the period of June 1 to August 31, 1997. The results are as follows: 1. Among the studied disabled persons, $54.5\%$ of male, and $45.5\%$ of female. 2. Before disabled in occupation, $32.0\%$ of out of work group were high, $6.5\%$ of farm, student group were low. Before disabled in occupation by gender, male group is $29.9\%$ of out of work group were high, $0.6\%$ of housework group were low. female group is$34.5\%$ of out of work group were high, $4.7\%$ of student group were low(P<0.001). 3. After disabled in occupation, $75.1\%$ of out of work group wert high, $10.8\%$ of in working group were low. After disabled in occupation by gender, male group is $87.6\%$ of out of work group were high, $1.7\%$ of housework group were low. female group is $60.1\%$ of out of work group were hgh, $10.8\%$ of in working group were low(P<0.001). 4. Medical security status, $64.9\%$ of medical aid group wore high, $35.1\%$ of medical insurance group were low. Medical security status by gender, male group is $71.2\%$ of medical aid group were high, $28.8\%$ of medical insurance group were Iew. female group is $57.4\%$ of medical aid group wan high, $42.6\%$ of medical insurance were low(P<0.01). 5. Disabled record status, $68.6\%$ of record group were high, $31.4\%$ of non group were low. Disabled record status by gender, male group is $78.5\%$ of record group were high, $21.5\%$ of non record group were low. female group is $56.6\%$ of record group were high, $43.4%$ of non record group were low(P<0.001). 6. Disabled duration status, $42.2\%$ of loss than 9 year group were high, $10.2\%\;of\;20-29,\;30-39$ year group were low. Disabled duration status by gender,'male group is $44.6\%$ of less than 9 year group were high, $6.2\%$ of 20-29 year group wert low. female group is $39.2\%$ of less than 9 year were high, $39.2\%$ of 30-39 year group were low (P<0.05). 7. Cause of disabled status, $26.5\%$ of other group, $23.7\%$ of congenital group were high. $9.2\%$ of unknown group, $6.8\%$ of industry accident, $2.5\%$ of drug poisoning group were low. Cause of disabled status by gender, male group is $27.7\%$ of other group, $23.7\%$ of congenital group were high, $2.3\%$ drug poisoning group were low. female group is $25.0\%$ of other group, $20.9\%$ of congenital group were high, $2.5\%$ of drug poisoning group were low (P<0.001). 8. Disabled type status, $19.4\%$ of double disabled group were high, $2.2\%$ of muscle paralysis group were low. Disabled type status by gender, male group is $22.0\%$ of double disabled group were high, $2.3\%$ of muscle paralysis group were low. female group is $23.3\%$ of rheumatism group were high, $0.7\%$ of amputation group were low(P<0.001). 9. Smoking status, $73.2\%$ of non smoking group were high, $26.8\%$ of smoking group were low. Smoking status by gender, male group is $59.9\%$ of double non smoking group were high, $40.1\%$ of Smoking group were low, female group is $89.2\%$ of non smoking group were high, $10.8\%$ of smoking group were low(P<0.001). 10. Drinking status, $80.0\%$ of non drinking group were high, $20.0\%$ of drinking group were low. Drinking status by gender, male group is $72.3\%$ of non drinking group were high, $27.7\%$ of drinking group were low. female group is $89.2\%$ of non drinking group were high, $10.8\%$ of drinking group were low(P<0.001). 11. Stress level status, $52.9\%$ of high stress group were high, $1.8\%$ of very severe stress group were low. Stress level status by gender, male group is $50.8\%$ of high stress group were high, $2.3\%$ of very severe stress group were low. female group is $55.4\%$of high stress group were high, $1.4\%$ of very severe stress group were low. 12. Heed status, $28.0\%$ of economic support were high, $4.6\%$ of speech therapy, brace group were low. Need status by Sender, male group is $2i2\%$ of economic support group were high, $4.5\%$ of bracegroup were low. female group is$27.7\%$ of economic support group were high, $3.4\%$ of speech therapy group were low. 13. Care satisfaction comparision, 3.09, 0.55 point of IBR, 4.01, 0.45 point of CHR(P<0.001). 14. The variables which had positive correlation with IBR were gender(r=0.1406, P<0.01), age(r=0.1872, p<0.001), economic level(r=0.1246, P<0.05), disabled record(r=0.1137, P<0.05), education level(r=-0.1122. p<0.05). 15. The variables which had positive : correlation with CBR were gender(r=0.1613, P<0.01), age(r=0.2255, P<0.001). list of family(r=0.12i3, P<0.01), disabled record(r=0.1273, P<0.05). education level(r=-0.1294, P<0.01).

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e-스포츠의 다양한 속성이 유동(flow)과 동일시에 미치는 영향에 관한 연구 (A Study on the Various Attributes of E-Sport Influencing Flow and Identification)

  • 서문식;안진우;김은영;엄성원
    • 마케팅과학연구
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    • 제18권1호
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    • pp.59-80
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    • 2008
  • 인터넷의 급속한 발달과 온라인 사용이 급증함에 따라 e-스포츠와 같은 온라인 게임은 거대한 시장으로 성장하고 있다. 그렇지만, 많은 e-스포츠를 후원하는 기업의 효과를 검증하는 마케팅적 연구는 미진한 상태이다. 있다해도 단순히 온라인 게임과 관련한 연구가 대다수이다. 이에 본 연구는 e-스포츠 스폰서십을 통해 기업의 마케팅 커뮤니케이션 전략 수립을 위한 토대를 마련코자 하였으며 시작단계에 있는 e-스포츠의 향후 연구에 기여하고자 하였다. 중요 변수들은 첫째, e-스포츠의 주요한 게임속성으로 상호작용성, 익명성, 내용확장성을 들고 온라인 상황에서 주요한 매개의 역할로 다루어지는 유동(flow)과의 관계를 살펴보았다. 둘째, e-스포츠의 주요한 게이머속성(스포츠 경기에서의 팀과 플레이어의 속성에서 수정)인 매력성, 유사성, 경기결과가 유동(flow)과 게이머동일시(온라인 게임상황에 맞게 기존 팀동일시를 게이머동일시로 차용)에 미치는 영향관계를 살펴보았다. 마지막으로 유동(flow)과 게이머동일시와의 관계 그리고 게이머동일시와 기업동일시와의 관계를 최종적으로 점검하였다. 연구의 결과, 온라인의 기초적인 특성인 상호작용성은 유동(flow)에 유의한 영향이 있었고 게이머속성에서의 유사성과 경기결과도 유동(flow)에 유의한 영향이 있었다. 그리고 유사성은 게이머동일시에 정의 영향을 미치는 것으로 나타났다. 마지막으로 유동(flow)은 게이머동일시에 그리고 게이머동일시는 기업동일시에 정의 영향이 있는 것으로 나타났다. 결론적으로 e-스포츠를 후원하는 기업의 경우 일반 유저들과 유사한 특성인 가진 실력있는 게이머를 후원한다면 마케팅 효과를 극대화할 수 있다.

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