6 research outputs found
A Determining system for the category of need in long-term care insurance system using decision tree model
ope
Estimation of nursing home needs in elderly people
보건νκ³Ό/λ°μ¬[νκΈ]
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νκ³ , μ μ λ κ°νΈμμμ μ
μ μ 격기μ€μ λ°λΌ μ°κ΅¬λμ μ§λ¨μΈ μΌλ°λ
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μ΄ μ°κ΅¬μμλ μ°μ κ° μλΉμ€ νμλλ₯Ό μ°μΆνκΈ° μν΄ μ λ¬Έκ°μ§λ¨μκ² μ€λ¬Έμ μννμλ€. μ¬κΈ°μ μ λ¬Έκ°μ§λ¨μ κ°νΈμ¬μ§λ¨κ³Ό μμ¬μ§λ¨μΌλ‘ ꡬλΆλλλ°, κ°νΈμ¬μ§λ¨μ λ€μ κ°μ κ°νΈμ¬μ 보건μ§λ£μμΌλ‘, μμ¬μ§λ¨μ λ
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μμ΄ νμν μ¬λμ΄ μ°¨μ§νλ λΉμ¨μ μ°μΆνμλ€. μ¬κΈ°μμ μΌλ°λ
ΈμΈκ΅°μ '보건μ¬νμ°κ΅¬μ'μ΄ 'λ
ΈμΈμνμ€νμ‘°μ¬'λ₯Ό μν΄ μ°λ¦¬λλΌ μ κ΅ 106κ° μ‘°μ¬κ΅¬μ κ±°μ£Όνλ 60μΈ μ΄μ λ
ΈμΈμΈκ΅¬ μ€μμ μΆμΆλ 2,058λͺ
μ λ
ΈμΈμΈκ΅¬ μλ£λ₯Ό μ¬μ©νμλ€.
κ²°κ³Όμ μΌλ‘ μ΄ μ°κ΅¬μμ μ μ λ κ°νΈμμμ μ
μ μ 격기μ€μ μ΄ν΄λ³΄λ©΄, λλΆλΆ λκ±°νλ μκ° μλ λ
ΈμΈμ μΌμ°¨μ μΌλ‘ κ°νΈμμμμ μλΉμ€λ₯Ό λ°μμΌ νλ€κ³ μκ°νλ κ²½ν₯μ΄ κ°ν κ²μΌλ‘ λνλ¬λ€ λ€μμ νλμ΄ λ§€μ° μ΄λ ΅κ±°λ μ ν λͺ»νλ μνμ΄λ©΄μ λμμ΄ μΆ©λΆνμ§ μμ κ²½μ°κ° μ΄μ ν΄λΉλμλ€. μ΄λ°μλ κ° μ°¨μμ μΈλΆ νλͺ©μ λ°λΌ, λλ μ λ¬Έκ°μ§λ¨μ λ°λΌ κΈ°μ€μ λ΄μ©μ΄ μ‘°κΈμ© λ€λ₯΄κ² ꡬμ±λμ΄ μμΌλ λμ²΄λ‘ μ§λ³μνλ μ΄λ €μ μ λκ° μ¬ν μνμ΄λ©΄μ λΉκ°μ‘±κ³Ό λκ±°νκ±°λ λκ±°μΈμ΄ μλ κ²½μ°κ° μ΄μ ν΄λΉλμλ€.
μ΄λ¬ν μ 격기μ€μ λ°λΌ κ°νΈμμμμλΉμ€ νμκ΅°μ μΆμΆν κ²°κ³Όλ₯Ό 보면 λ€μκ³Ό κ°λ€.
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ΈμΈμ 건κ°μμ€μ μΈ‘μ νλ λ°μ κ°μ₯ μΌλ°μ μΌλ‘ μ¬μ©λκ³ μλ μ 체μ κΈ°λ₯ μ°¨μμΈ μΌμμνμ§μ₯μ λ(ADL)μ κ΄ν κΈ°μ€λ§μ κ°μ§κ³ κ°νΈμμμ νμκ΅°μ μΆμΆν κ²½μ°μλ μΌλ°λ
ΈμΈκ΅° μ€ μ½ 8-9%κ° μ΄μ ν΄λΉλμλ€. λ°λ©΄ λ§μ±μ§λ³μ κ΄ν κΈ°μ€μ κ°μ§κ³ κ°μ λ°©μμΌλ‘ κ°νΈμμμ νμκ΅°μ μΆμΆν κ²½μ°λ κ·Έ κ°μ λ³μ΄κ° 컀μ, κ°μ κ°νΈμ¬μ μΆμ²μ λ°μ μμ¬μ κ΄μ μμ 보면 30%κ° λμμκ° κ°νΈμμμμλΉμ€λ₯Ό νμλ‘ νλ€κ³ λνλ¬λ€. ννΈ λͺ¨λ μ°¨μμ κΈ°μ€μ μ¬μ©νμ¬ μΆμΆν κ²½μ°λ μΌλ°λ
ΈμΈκ΅°μ 13-38%μ λκ° κ°νΈμμμ νμκ΅°μ ν΄λΉλμλ€. μ 체μ κΈ°λ₯ μ°¨μκ³Ό λ§μ±μ§λ³ μ°¨μμ ν©μ³μ κ°νΈμμμ νμκ΅°μ μ°μΆνλ©΄ 4κ°μ§ μ°¨μμ λͺ¨λ μ¬μ©νμ¬ μ°μΆν κ²κ³Ό κ°μ₯ λΉμ·ν μμΉλ₯Ό 보μλ€.
[μλ¬Έ]
The purpose of thin study is to estimate the population requiring nursing home services among elder1y people in Korea. This study identifies the need of nursing home services determined by health care profesaionals and estimates the proportion of elderly people requiring nursing home service according to the admission criteria.
Surveys were conducted on health care professionals including medical doctors, home care nurses, and nurse practitioners. They were asked to assess nursing home needs baeed on four content areas: physical function (Activities of Daily Living), chronic disease, physical symptoms(incontinence), mobility, eating, and sensory function. Based on the professionally determined need criteria the proportion of elderly people requiring nursing home services was estimated using secondary data from the 1994 Survey on the Living Statue of the Korean Elderly. The number of
study subjects to estimate nursing home needs who were 60 and older totaled 2,058.
The moat important factor contributing to the admission eligibility criteria wart the elderly living alone. Other factory related were the elderly being unable or having difficulty carrying out activities, and having insufficient help from other
members of the household.
Using only physical function, the proportion of elderly people requiring nursing home wag 8-9%. When only chronic disease wart used, proportions varied widely; for the doctor's group, the proportion was over 30%. Using all areas, the proportions of elderly people requiring nursing home were between 13% and 38%. The estimate using chronic disease and physical function wag simitar to the one using all areas.prohibitio
(The) contribution of a rural hospital to local economy
보건νκ³Ό/μμ¬[νκΈ]
μ΅κ·Ό λ€μ΄ μλ μμ€κ³Ό κ΅μ‘ μμ€μ΄ λμμ§λ©΄μ μμ§μ μλ£ μλΉμ€λ₯Ό λ°κ³ μνλ μκ΅¬κ° μ¦κ°νκ³ μλ€. κ·Έλ¬λ μ΄λ κ² μ¦κ°νλ μꡬλ μ£Όλ‘ λνλ³μμΌλ‘ λͺ°λ¦¬λ κ²½ν₯μ 보μ΄κ³ μλ€. λνλ³μμ μ¦κ°νλ μμλ₯Ό κ°λΉνκΈ° μν΄ κ·λͺ¨λ₯Ό νμ₯νκ³ λ§μ μΈλ ₯μ κ³ μ©ν λΏλ§ μλλΌ λ€λ₯Έ μ°μ
μ μμ°νμ μλΉλΆλΆ μ¬μ©νκ³ μλ€. λ°λ©΄ μ€μλ³μΈμ μμκ° μ€μ΄ μμ΅μ κ°μνκ³ λ³μΈμ μ§λ₯Ό μν μ§μΆμ μ¦κ°νμ¬ κ²½μμμ μ΄λ €μμ κ²ͺκ³ μλ€. κ·Έλ¬λ μΌλ°μ μΌλ‘ μλ£μ°μ
μ΄ μ§μμ¬νμ λ―ΈμΉλ μν₯λ ₯μ΄ μ»€μ§κ³ μλ€κ³ μκ°λλ€ μ΄μ μ§μμ¬νμ μ§λμλ€μ μ§μμ μλ λ³μΈμ΄ μ§μκ²½μ μ μ΄λ μ λμ μμΉλ₯Ό μ νλμ§, κ·Έλ¦¬κ³ μ€μ λ³μΈμ λμ°μ λν΄ μ΄λ ν μμ¬κ²°μ μ λ΄λ €μΌ νλμ§μ κ΄μ¬μ κ°μ ΈμΌ ν κ²μ΄λ€. μ΄ μ°κ΅¬λ ν λ³μμ΄ μ§μμ¬νμ λ―ΈμΉλ κ²½μ μ μΈ μν₯μ΄ μ΄λ μ λμΈμ§λ₯Ό μ°μΆνκ³ μ νμλ€.
λ³μΈμ΄ μ§μκ²½μ μ μν₯μ λ―ΈμΉλ λ°©λ²μ 보면, μ°μ λ³μμ μ§μ ꡬ맀λ ₯, λ³μ κ³ μ©μμ μν μ§μ ꡬ맀λ ₯, κ·Έλ¦¬κ³ λ³μ λ°©λ¬Έμκ° μλΉνλ λΉμ©μ μν΄ λ³μμ μ§μμ¬νμ μ§μ μ μΈ ν¨κ³Όλ₯Ό λ―ΈμΉκ² λλ€. μ΄λ° μ§μ μ μΈ ν¨κ³Όλ λ€λ₯Έ μ°μ
μΌλ‘ λ€μ΄κ° νμ νλ©΄μ νμ°λμ΄μ§κ³ μ΄λ‘ μΈν΄ νμ°ν¨κ³Όκ° μκΈ΄λ€.
μ΄ μ°κ΅¬μμλ λ³μμ μ§μΆ μλ£λ₯Ό κ°μ§κ³ μ§μ μ μΈ ν¨κ³Όλ₯Ό μ°μΆνμλ€. κ°μ μ μΈ ν¨κ³Όλ νμ°λ³μ κ°μ μ΄μ©νμλλ° μ΄ κ°μ μλΉμ±ν₯μ λνλ΄λ μλκ³ΌμλΉμμ€μΌλ‘ ꡬν΄μ§λ€. ννΈ μΈλΆμμΈμ μν λ³μΈμ κ²½μ μ μν₯ μ λλ μ΄ μμ΅ μ€ μΈλΆκ±°μ£Ό νμμ μν
μμ΅μ΄ μ°¨μ§νλ λΉμ¨μ ν΅ν΄ μ°μΆνμλ€ μ΄λ κ² μ°μΆλ κ°μ μ΄μ©νμ¬ λμλ³μ μ΄ λμ°νμμ λ λ―ΈμΉκ² λ κ²½μ μ μΈ μν₯ μ λλ₯Ό λμΆνμλ€.
μ°κ΅¬ κ²°κ³Όμ μνλ©΄ λμλ³μΈμ΄ κ°λ μ§μ μ ν¨κ³Όμ κ°μ μ ν¨κ³Όλ κ°κ° 10μ΅ 4μ²μ μ λ, 15μ΅μ μ λμ΄κ³ , λμμ§μμ νμ°λ³μμ κ°μ 2.452λ‘ λμλ³μμ κ²½μ μ μν₯λ ₯μ μ΄λμ 25μ΅ 5μ²λ§μΈ μ λλ‘ λνλ¬λ€. μ΄κ²μ 곧 λμλ³μμ΄ λμ°νμμ λ μ§μμ¬νμ λ―ΈμΉλ μν₯μ λλΌκ³ λ³Ό μ μλ€. ννΈ μ΄ λ³μμ κ²½μ μ μν₯λ ₯ μ΄μ‘ μ€ μΈλΆμμΈμ μν μν₯μ 4μ²5λ°±λ§μ μ λμ΄λ€.
λ¬Όλ‘ μ΄ μ°κ΅¬μμ μ μ νκ³ μλ λͺ κ°μ§ κ°μ μ λ
Όλμ μ¬μ§κ° μλ€. μ°¨νμλ μ΄λ¬ν κ°μ λ€μ λν λ
Όμλ₯Ό ν΅ν΄ λ³΄λ€ μΈλΆνλ μ°κ΅¬μ νμ΄ λμΆλμ΄μ§ μ μμ κ²μ΄λ€. λν μ΄λ° μ°κ΅¬μ νμ λμμΌλ‘ νλ λ³μκ³Ό μ§μμ νΉμ±μ λ°λΌ λ³ννμ¬ μ μ©ν¨μΌλ‘μ¨
λ€μν κ²°κ³Όλ₯Ό μ»μ μ μμ κ²μ΄λ€.
[μλ¬Έ]
Demand for high quality medical care has recently been increasing in step with high level of income and education. Patients prefer the use of large general hospitals to small community hospitals. Large hospitals usually located at urban area, expand their capacities to cope with the increasing demand, therefore, they easily secure revenue necessary for growth and development of hospitals caused from the reduction of patients in one hand and the inflation of cast in another.
If small rural hospitals were closed, the closure would have negative impacts on local economics in addition to the decrease in access to medical care. Community leaders should have an insight on the contribution of community hospitals to local
economies.
They could make a rational decision on the hospitals closure only with the understanding of hospitals contribution to the community. This study is designed to develop an economic model to estimate the contribution of rural hospitals to local economies, and also to apply this model with a specific hospital.
The contribution of a hospital to local economies consists of two elements, direct effect and multiplier effects. The direct impact include hospital's local purchasing power, employee's local purchasing power, and the consumption of patients coming from outside the community. The direct impact induces multiplication effect in the local economy. The seed money invested to other industries grows through economic activities in the region.
This study estimated the direct effect with the data of expenditure of the case hospital. The total effect was calculated by multiplied the direct effect with a multiplier. The multiplier was drown from the ratio of marginal propensity of income and expenditure. Beside the estimation of the total impacts, the economic effect from the external resources was also analyzed by the use of the ratio of patients coming outside the region. The results are as follows.
1. The direct economic contribution of the hospital to the local economy is 1,040 million won.
2. The value of multiplier in the region is 2,452
3. The total economic effect is 2,551 million won, and the multiplication effect is 1,551 million won.
4. The economic contribution from the external resources is 45 million won which is 1.8% of the total economic effectrestrictio