Takstmodel - Salg af pladser (SA)
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at den nye takstmodel for det specialiserede socialområde for voksne godkendes
Sagsfremstilling
Den nye takstmodel
Struer Kommune har besluttet at indføre en ny takstmodel, som beskriver takststrukturen for sociale bo– og dagtilbud i Struer på voksenområdet. Med den nye model vil der være et tydeligt samspil mellem borgernes behov, den ydede indsats og den udmålte takst. Vores nye takstmodel er udarbejdet med udgangspunkt i BIT-modellen:
1. Behov: Modellen tager udgangspunkt i borgernes behov for støtte.
2. Indsats: Modellen tager højde for den pædagogiske støtte, der kan leveres til borgeren.
3. Takst: Modellen tager højde for de faste omkostninger, der udgør de grundliggende rammer i tilbuddet, samt de borgerrettede ydelser afhængigt af den enkelte borgers behov.
Formålet med den nye takstmodel på socialområdet er primært at skabe mere gennemsigtighed, bedre sammenhæng mellem borgerens behov og prisen samt bedre økonomisk styring.
Kommuner og regioner skal tydeligere kunne se:
- hvad de betaler for
- hvilken støtte borgeren får
- hvordan taksten er sammensat.
Taksterne er opbygget, så prisen for en plads består af to hovedelementer: en borgerrettet ydelsestakst og en takst for basisomkostninger. Antallet af takster på de enkelte tilbud kan variere. Et eksempel på en given takststruktur er præsenteret nedenfor.
- Ydelsestakst: Den omfatter alle indsatser, som leveres til borgeren, herunder tid med borgeren så vel som tidsperioder, der vedrører borgeren, men hvor personalet ikke nødvendigvis er sammen med borgeren (f.eks. dokumentation).
- Basistakst: Den beskriver omkostningerne, som er faste og er uafhængige af den borgerettede indsats (f.eks. bygningsudgifter).
Indplacering af en borger på en given takst sker på baggrund af den individuelle udredning af borgere. Se eksempel på brugen af takster herunder.
Baggrunden for den nye takstmodel
Takstmodellen er skabt på baggrund af BIT-modellen. Det vil sige, at der med den nye model vil være et tydeligt samspil mellem borgernes behov, den ydede indsats og den udmålte takst.
VUM 2.0 (Voksenudredningsmetoden) danner det metodiske grundlag for takstmodellen. Metoden anvendes til sagsbehandling på myndighedsområdet for voksne med handicap og psykiske vanskeligheder eller sociale problemer.
Hertil er det fælleskommunale funktionsevne-guide et redskab til at understøtte brugen af VUM 2.0 gennem vurderingen af borgernes funktionsevne. Se nedenfor.
Økonomi
Takstmodellen indebærer ingen økonomiske konsekvenser.
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- Html "<div><div id='sagsfremstillingContainer'> <div><h3>Indstilling<br>Administrationen indstiller</h3> <span class='indstilling'><p>at den nye takstmodel for det specialiserede socialområde for voksne godkendes </p></span> </div> <h3>Sagsfremstilling</h3> <span><p><strong>Den nye takstmodel</strong></p><p>Struer Kommune har besluttet at indføre en ny takstmodel, som beskriver takststrukturen for sociale bo– og dagtilbud i Struer på voksenområdet. Med den nye model vil der være et tydeligt samspil mellem borgernes behov, den ydede indsats og den udmålte takst. Vores nye takstmodel er udarbejdet med udgangspunkt i BIT-modellen: </p><p>1. Behov: Modellen tager udgangspunkt i borgernes behov for støtte.</p><p>2. Indsats: Modellen tager højde for den pædagogiske støtte, der kan leveres til borgeren.</p><p>3. Takst: Modellen tager højde for de faste omkostninger, der udgør de grundliggende rammer i tilbuddet, samt de borgerrettede ydelser afhængigt af den enkelte borgers behov. </p><p data-end="174" data-start="0">Formålet med den nye takstmodel på socialområdet er primært at skabe mere gennemsigtighed, bedre sammenhæng mellem borgerens behov og prisen samt bedre økonomisk styring.</p><p data-end="505" data-start="423">Kommuner og regioner skal tydeligere kunne se:</p><ul data-end="637" data-start="508"><li data-end="529" data-start="508" data-section-id="13izyww">hvad de betaler for</li><li data-end="561" data-start="532" data-section-id="1bti14s">hvilken støtte borgeren får</li><li data-end="637" data-start="564" data-section-id="19tiekj">hvordan taksten er sammensat.</li></ul><p>Taksterne er opbygget, så prisen for en plads består af to hovedelementer: en borgerrettet ydelsestakst og en takst for basisomkostninger. Antallet af takster på de enkelte tilbud kan variere. Et eksempel på en given takststruktur er præsenteret nedenfor.</p><ul><li>Ydelsestakst: Den omfatter alle indsatser, som leveres til borgeren, herunder tid med borgeren så vel som tidsperioder, der vedrører borgeren, men hvor personalet ikke nødvendigvis er sammen med borgeren (f.eks. dokumentation). </li><li>Basistakst: Den beskriver omkostningerne, som er faste og er uafhængige af den borgerettede indsats (f.eks. bygningsudgifter).</li></ul><p>Indplacering af en borger på en given takst sker på baggrund af den individuelle udredning af borgere. Se eksempel på brugen af takster herunder.</p><p><img 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odC4HyUdl5HM+YfeFT9TK/aV/oet/jsvor4r0LC6Vfoft/jtP0V8V6FcZ0qf862RaGQKett+7AAAr718izPUx0Oid1DJ+BX3pi7GEnW/tziiH4BApPO6hk/Ar70xdrCf0BW3xRD8CgWzkp6xf7FMZ/7yP7/Q3JfAQptj3136pxZD+d0XJXwEKbY99d+qcWQ/ndG3zhyct0RzJvvCOxoZcAAXAAoqXE6KodlAZqw+uNaXHLfg3BhRmrD641pcct+DcG+y1zsN15oj2aeQqbPyL2R/M09odh8A62PMk9odh8A6Io9hHNb4nIAAyD5IXoWAim4EmjVesyoTNIvmXdttTKS+SH2ESDW4tl0nEKSZa0iS2ZZHmhSTIyVwZJ7R7sN2BU6ZulWJmrUetUN/KUWZR6nKOTJNJ6uxROGeofqFsyPhErAAIjrmjlYVdOfLdlViNUJZ0d5ibHlJJ2C/TEOIivM5pNJK1XXCUSiUlRKMjLIbDb2F1Lodw0m6X65WarV6PSZdGRKnPNmbzMh9t9ZrShCU6xKaQSdUiIk7MhvYACDLy0eE4i4p3Dc1y3FVY1tVmi0qmPUynTtyTUUxn5DrjUpBoPyszcbLNCkqMjWkzyMyPeqHhhSrbqq6pRa1W45SK1OrsqIUouZ5T8pskKQ4jV6JtGRKQnMslFnmY3kABEt4aPVo3pebt4zq5cUNUuXS58+nwpyW4c2TTnSciOuoNBqM0mkkmRKJKiJOZGaSMRLh1osXrGqtzW/iBzl/ZO5kVHn2cN5C5FTedlG/EdYWUdt+LuBmavLHns1auXBmLaAANWsez3bMpblNfuqtXA448bqpVVWybpbCIkkTLbaCLIvY5mZmZmeY8GIGFdu4mTaEq7n50ql0SXzfzlJ4kwJ8hORtKlN5ZvJbUWulBnqa2RqSrIst4AAa3fVlUnEK0apZNbdkJp1XYOPIOOskOEgzI+hMyMi4PWGnUnAGzaBNZmUOo12nphFV00uOxMImqWmok1u6IxGnytJLZJxtO0kKUrIssklKoACmGlFh7U6NeFo3lWZyp7HPWm21SlOPm5JcYYo9YeeekK1SLdFuuFwcJIz2Z5EEiaannDhv3bH9S1QAB48JPSrP92Fc+1UkWWV0pitOEnpVn+7CufaqSLLK6Ux8vgEVc0qfRLavxao99HELnwCZtKn0S2p8VqPfRxDJ8Ao3OHNS2ReeROUjucgACBosh8DzT+o1e/R35D6BwPMGfeJHz8n9Rq9+jvyH0CgdTNfBn8wuTIvdS3XkUb6QeZhsz0Sep1e9FG8QeuZd3GqvAti80nzFfaFGcQ+uTdvGqvAtjYZ35RbowMh869vqjBAACjZcToGHA4/yjesBuu/SPiEz5mxov+UbzgJ14KTxdL+ZsSvKXOx3IdnPkamxc5HmZdoadiz6Aa9xXL8CsbijzMu0NOxb9ANf4rl+BWLuveXexQFn38dykULqCN8CjvSHoHng9QRvgm+9Iegc/YxzMtzpjBOUhsAABrLfvDZXHYLDaJfnDcfHR/RWBYAulEAaJfoeuTjw/orAn8ulHROX+Sh+leRzJmL3jV/UV/0sPQ/bvHifor4ryLDaWHoft3jxP0V8V5FY545hbItf0ecm92AABX8eJZb4HRO6ik/Ar70xdrCX0A25xTD8CgUlndRSfgV96YuzhJ6ALb4oh+BQLcyTwf7FKekDtx/f6G5ucBdoU2x6671V4uhfO6LkOGWRZim+PfXdqXxCH/8AKN3m7lZbojuTPeEdjQwABRE+J0XS7AGZsLrjWjxy34NwYYZmwuuNaPHLfg3BIMs83DdeaI3mnkKmz8i9rPmSfejsPgHWz5mntDsPgHRNPsnNb4nIAA9T5AAAAAAAAAAAAAAAAAAAAAAK6aannDhv3bH9S1QA01POHDfu2P6lqgADx4SelWf7sK59qpIso5wCteEnpVn+7CufaqSLLgCrelObyLhs83U6v+EqPfRxCytci8rUJT04Lkftms2PKZpxTDeYqTZpN7c9XI45555HmK1eSpNzz/ZdHy8vwCDY1lG6xWtKtTpuUZJJNPThx6ixst5otcMt406s1GSbbWmvHgSFk56wZOesI+8lab7V0fLy/AHkrTfauj5eX4BH/wCnV58DJT9/rP40bzPy5kV79HfkPoEwbrbrTSi4Ej5hnibLmrZhqttDZPvstmvm0j1c3ElnlqbR9REElCEpLPYQleBZeuMIpSp1ouMm9Vq9dUiusz47b4tWjUoy6Simn1aaNsPaxoMkcIo5iDreSPd2t+9leBbF5NYkq2/7h88McL9k0LGi9qW3QUyEt1XW3Q5epnmw0fBqn8498awKvjFBUqUXKSabSenUvxMfLeMUcLuXUqy6MWtNdNevVdR7MzDMxH3kqzfauj5eX4A8lab7V0fLy/AIf/Tm8+WyzFnu0+YiQSNeuZHtG+YFE4WL9J3FP/V0z5mxAPkrzfasn5eX4BLuijeb1y45U+M7SExCapE9wlFJ3TPzIsstUvXGzwjJF5h1eFWdNxjFtt666LQ0ePZvtMRtZ0oTTk1ol4vqL3JLIshp2K/oDuHZwUmZ4FY3Mu0NXxLQhWH1zKUXS0aaf/AWJzcUXXpOnErGhUVKopyKLwfO+N8CjvSHdkv1yEbQcVZhQo5Fa6NjSP8Ap5exL/YHf5Ks32ro+Xl+AV9d5Euruo6sIMtfDc6W9pQjCU0SGAjzyVZvtXR8vL8AeSrN9q6Pl5fgHlT9Ht7Hr9WzNq58s3/sRcfRSzTbdzOoLbz9/wCVYE/LMjIs9orpoS11y4bEuOovQCimq4Fo3Mnd0yyjMbc8i+YWOMy1sjE+w+yna28aFRdGUUk14NFUYpd07m6nWg9YybafinwIF0quitK3HFp/69L6K+K5ESiXkXAJ+00a2m37Ct+pqhuSdS4G0bmhRJM9aM+WeZ7BUY8V2va1M+UNfeIpj2VbnF66qUoOUUktVw1T60TLKmZbfCbd06s1GTbej8HwN9AaF5K7XtZmfKGvvDyV2vazM+UNfeND/T29+WyY/fq0+NG6TTLmKTmWRkyvvTF2sKUraw8tdCiyzo0LwCB87JmKzRw5BHbUzayv/pDXsT/iPo/hj5ZhtahmnLWokE8v/wACBLMCy7cYUpOrFx1001/HTjoV7mnHKGKSj6qalprrp+GumhsEhwicQRFwioePhGjGOp5fu2B/8ouGeRntIUb0rryRbON06KukvzDepEBzWbdQki2vFl0R/wABn4xhVbFLaVGEXKTaaS46Lia3LmJUsOvI1qklGKTTb4dZr2Z+sGZ+sND8ldr2szPlDX3h5K7XtZmfKGvvEDl6Prt/65FpU88Wa/2I3syNJmZcJjP4f5pxKs0i4efDXg3BEvkrMn/2ZmfKGvvG44OX83XcX7IpzdEkxjcrCFbot5tRFk04fAR5+oNhheSryyrwqypyUYtNt8Ek022abGs32d5bzpxqJykmkvFtaI+iyelIcjhPAORZa4FTAAAfQAAAAAAAAAAAAAAAAAAAAAAK6aannDhv3bH9S1QA01POHDfu2P6lqgADx4SelWf7sK59qpIssfAK04SelWf7sK59qpIssfAAKZf2gh51Cwfg6n/y4qULaf2gfnjYfwdT/wCXFSxYeW6cJW0el4siGJ1Zxqy/b6AAASadvQNb7XVOyJ1dC+Nx/CpH11QWZI7Q+RUTq6F8bj+FSPrqyeSG+0K+zJBQrQ08Gb/Cm5U5dLxR+zLIiHzI0jOvzfHGafo7Q+m6+kIfMjSM6/N8cZp+jtDyy3Hp3T2+qPvFpOnSWniiOgABZPs1AjftdQCc9Cw8sfYnEs752hBgnLQt6/sTiWd87Qj+P06cbafR8DOw64lKtHXxPoaXCY1bE3re3NxNM8AsbQnhGr4m9b25uJpngFitaPaW5K63ds+UcLqKP8EjvSHcOmF1FH+CR3pDuFr4bQo+pjqRO4uKikAABn1rej0TFVxULvaBHWzuDujd+jMC0BkWRCr+gR1s7g7o3fozAtAfqCqMTWl1Pcl9m9aMdkVp09DzwroRf/cTP0d8UXF6NPMssK6F3RM/R3xRcSvLVGNS3/u8WabFq7p1erwQAAEr9jtzT+21zpmdRSPgl96Y+reFnW1tLiSD4BA+UkzqKR8EvvTH1Zws62lpcRwfAIEHzTFQlDo/n9DeYNPp9LX8jbFD57aa/X7kcSQe+eH0JUPntpr9fuRxJB754a3LqU76KfgzYYr/AG0HuiCQABZnsVuRj2+sBIWjt197G44LwLoj0SFo79fexuOC8C6NRjFGnG2n0fhfkZFnczlWhr4rzPpfWK1Sbepr9Zr1Wh02nxUG4/KmPpZZaT66lqMkpL+JmMBamJ2Hl8W7Duq07zpFSpVQSpcWWzKTqPJSo0maczIzLNJln6uQyF0WlbF8UGZa15UOBW6PUW9ylwZ8dL7LyfWUhRGR7dpesZZkNbs/AvB6wrZh2jbOHNCj0qnJUiM07DQ+ptKlmrV13CUtRZqPLMz2ZEKtJqjc/wBpLd/f9O+VN/eO6LUIFQSpVPmR5KUnko2XErIj9Y8jGG8jbDz2g25/SmPwjIUm3qDb7TjFCokCmtuq13EQ4yGUrVllmZJIszyAEO2lpNtXJierD+baTEWM9OrcCNMjVluVIQdMWaXXZUVKCXHbXl0Cs1bTSR5GohszekVhGdJn1Zdxymk02XGguxXaTMbmLekkZx0tRlNE87upJUaDQgyUSVZdKeWlU3RUOHe7t1nfTcZDdYrFahO0yhsxKm2/PQ8k0PTtZSnm293UaUGkiNSGzVnqEQxlC0QZFHtm5qLIxCiVOfc6aYmTKqNB5obM4aXUpeUlcg3DfWbuubqXUmlxOaciPVAEhzsfLHo1SqbNfqjceNFdpzMFMZmTJmynJcZUhCDioZ3RKtzQtWSdY9VKjVq5ZDbbmv8AtCz7dduq4a61FprJNZr1VLcUp0yS02lpJGtS1qUkkoJJqMzyIhElb0WX6lQapR04hvyZNWYpDD1Qq9MTNkpVBhqjlJS5uiFokmat1J5KiNKiy6IjMj2i5dHu2arQY7VFm86rqjSaXUP2oOG0/NlzIBpNl2XmRc0axkeuRmWeseRpPIyA75ekrg3BokKuybsd3KoSZcJmOimS1y+aYySXIYVGS2bqHG0HrKSpJGSdvBtGIrek3Yk+0KpcGGVcg16VTVUp7c32nmWXocyY3HKS0taUk610TmTiDNOsgyMx+7f0eOdNZYuiq3tIqFZeqFXqtUkJgoZalSZ0RqL5W2Sj3FDTTDRJTmoz1TNSjMzMYOXokUCqW3CtOp3U/LgsWXSbKkNuwkGmVGhTESFOKLW2bqSDbNJbCJRmR5gDcanpKYMUeHHqE28TOLKKQ6h5mnyXkJjMO7k7LWaGz1IxLzTzQrJo8jMlGRGY6b30jMM7NpV21EplRrLtmQTnVFilwH307EoXuSXko3I3NV1pRo180pWSjIi2jUZ2izWUwHaRQ8XqhEizKA7Z0s5FMalOroG6urjx0LUotV9lD7zSXzJWsk0mpBqTrD11PRXiVGqV5Td5PU2k1a2XrZbh0+AllxTS2G2W3JbmuaZa2SbI21KQlRayiNRlkRAbTJ0jcIIc+nUqqXHJgTakxCkpjyqZKaVHalrNEZcgzbyjktxJoI3DT0WReqQ6Z+kXh3a7ck73rbFPdRU6rAisQmpM5x5uApJPrNLbOsk0JWlSyyMklt1jIjMeKpYAzbhpdwsXJfCpNRuanUOFNlMU1LKCXTn1O7ohrXVlumtkadY9X1DMd8XAGJGr8qupumSapLtyuG3zKnJPPdbKlFnn/qtxLL2WttyyAGRqmkLhHSq/SLaduhcqbXFwW4ZwoMiUyapidaKlbzSFNtm6gjUklqLNJa3BtHSWkngqceuTHL6YaiW/EXUJkhyM+lpURDpNLkMrNGT7SXDJBra1iIzLbtIQbGwLxOs3GqlPUS0ef9JpqbdgRZk40FAXEhwkxn5jmrJSpqUhJu7kncHTIzLJZErod0t3Q5oluWdW7Eg12lNQJ0AqZBmx7ajs1NiOUlD5JflJVnIPytKeBBHkSlEaizAHg0r6/AuWysLq/Ro1RfiTbzNxk1xXGHjTzmqpZm04lKy4OAyLZkYDL6annDhv3bH9S1QAB6NHi3P2r0dHaCU5cJUm57mUiQ2hK1NLRcU1xKtVWxXRILMj4SEmfspiV7rCv6FH+8ahoi9ZNnunur6/niX5S1Nx3XEGRKShSiM/UMiAEE4n6M8rF96mPXridVHFUgnii8x06Mzluupr63Qqz6ROXrbRpp6AFoZZ+STcfyeL+WNIwz0h8SrCpBXNfUi5qrGq9jtVunxbikQiRUalzczHW7FejlnGioKUya0vFraq0qSXQqzlWVjxirBq0jDxy0rWkXpGuenUBb7VRfKlG1NgvS0PZmjdSW2TCiU1lmeaTIyJRZZtHELm3goU5uKX4IxKlnSrSc5RTZr+8AtH3SLj/kRfyw3gFo+6Rcf8iL+WO+Zpa3pTq9eFRcsWBMtKyYlddqi4hyjltuU9RNNFuqmyjGUl3XNBJWo0IQrW2keWTh6QONz1Dp7U/CSDS63WrogUCmPVJ96NBkMyYrzynyTkp3yo2TSZZZLzI0mWez1+2Lz5jPP7NofCjDI0BrUbdbeTiRcWbTiHE5sRctZKiUX+T1yITqi08Ry6EsVVZF/4HH+8anpF1O/aDhkm4rUvDnBLpk2nuTuZoiHjloXKZbUylbue5oPXVmokmoy2EadpiZNmW0hiXF3Vu2nWk5acNT3oW1OgmoR01NJO0cSTLrrn/Qo/3iGrs0J6Letz1K767iVXVVGqvE/JNmJFbQayQlHQp1DyLJJeqY33SXr1yW/YFOO1ZtajzKhcdHpq+cy2UTnWX5aEONsKe8rStSTMiNWRF65CL8OcccU5dPhYcQmoVQvJNVuJuQu7pSY66dCp7jKm48pcVJoflKZlxjNbXQEk1KPMyMj+ba6rWs3OjJxbWmq8D6rUKdePRqR1R+/7v+0fdJuP+RF/LHH93/afulXF/Ii/ljLN6VN1VOg1C/KPYtNK3aPY0G75rUmorKa47KRI3OK0SUahkS2CzcPpkqLVSZmRDElpQYuM02BHdw8p1RrFyV6XTbedp8SfzNLhxIaZD8o2nkIfPolKaSRJIs21qzMi25321e/NZi/Zlv8AAjgtAG0v82JFx/yIv5Y2DDzRDg4YXMi7bUxMrCKk3GdipVJhRnWybcNJq6HVLb0BZHn642awcWMSb2v6Ha82woFvRYts02u11qfNUudFkSzkoKK2hCTQrVVHzNZqLYrLLPg8lzVK7k6Qls0Cxr7rE9zdVTLqoziGF0umUXmdaWzWZNk4iS7IJs2ujNSiJ0zLUSPCriVzWi4Tm2nxR6U7ChSkpwgk0b8Vp4k+6wr+hR/vGPrNgX7W6VNo8/Fd1UafHcivEiixkq3NaTSrI/UPIzEjipulNfmK1t3vNRh9VrrZRQrIduFCKQqFzJHkNzNVUic3I6N5hLaVZttZqNKVZFmZGMSL6L1RmaanLf8AZ+Wa02hpGJFx6qEkks2IvARZf92B6AFqF/8AUi4f5EX8sbOnSRuCVcTdSpVAokyy2bqpdmvSDmuN1ORKnNx1IlMsGjVJkjlNHqKVrmglr2ZER65XdKbE+l2RQ7lRZFuJl3bLqiKKwmRMlElmCThGTyWGlOG68tCEoJCTQjXLWVnkR5yxS5hwqMwnYUZ8Yo6d4DavujXF/Ji/lhvAbV90a4v5MX8sbFSNIrFirYjQbFj4OvSSpiqLEutxg1/4GTOjtvuKQtXQpbYS6nWJfRL1VknIyLPfsGr9vLE6ypt43FApFDiS5MyPSuYZC33UNMPvMG88biSQSjNolkksyIjyMzHp9tX3zGfH2bb/AAowmGej/WMIqNKoVlYoT0RJstU10pdLjPK3U0JQeRkSciyQnZ2xuv7KYk+6ur+hx/vEb4BXXeTmJWIOH931m5HEUtmm1GlQrjOI7P3B7dkuykuxC3I47i2yJDZma0G2vMiJSSE+8BbRr61WdWbnUesn1tmbCEacVGK0SITxP0fq3i/Q41v3bilOOLEmJmt8y0mK2vdEoWgszMj2ZLVs7Qjn+75tr3VLi+RRPwDVaHi7fNn4qP3NU6jcc+kO168oDkVdwonM1RUNEh6JEagZmuFqJjq8uJOXQklWZOJMtuTpN4oRKJNUbdiV2pTLfolw0yRTVvlChc8KizE5klHrqUoyJ7XQ4k0mvc19AWQ97e+ubeHQpzcVx0TPGraUa8unOKb/ADOn+78tz3Ubh+RxPwB/d+W57qNw/I4n4Bnn8ccYk4zpwwgw6DPat6TFauFUekSTVIjHT+apEll03tzZMlm2yhhW6LM162ZlsLWrd0qMaqvhrVcR12LbUeJNp1Kn0M35zeqy9MqDMXmZ9DMhx1ZJQ8Sjd1GslpUk0Z7B7fal38x/yeXsNH4F/B3Of2fFsOIW0rFW4slpNJ5Q4nAZZewE4UPD6+6BR4NCp+KrpRqdGaiNa9FjGrc20ElOZ+qeREMHi/dd82jh5TaahufIr9ekN0ubWrfosiQ3SkKSpT81LCN0WWqhKktkZq8sU3meWY79Fq7Jt74A2TcNQqNWqEt6ltokS6q24mVIcQZpNxZrIjWZ5Z6+WSuEhj3F7XutPWyctOGp70bWlQ16EUtfA2X9lMSPdYV/Qo/3iJcR9EBrFK51Xdc2KdY54LjNRD5mp0VtGo2ajTsNJ7ejPbn6wsLUFKagSXUrNKkMrUSi9QySe0UQwtx7xAsCiquauVGrVLnlYLFXixq5ciarGlTynMsuz3FoNS6eyhMlBqaMiJSdbLJTZ5+VC4qUJ9Om3GXij7q0YVY9Ca1RIv8Ad9257qdw/Ion4A/u+7c91O4fkUT8AzacdsWOe67AgP2RUq83d9Pt3n6wzI52uMSqa/MNRMk6at3a3EkmjdTIyWgzNOezETdKLFKLV78r0a3KVUbYsKFcDs6IxT5Db5uwVk1FIpanNzWT690WokNnuSWzJR57Rnfal58x/wAmL7DR+BfwdRf2fNu+6pcXyOJ+AZO0tCSmWXc9Mu2kYp1wp9Jkc0x92p8RbevqqT0REgsyyUfqkOynY349TqJTosy3rShVWuXTT6JTag88l2M5Gkw3pDjqo8aU8olNmzkjN0icIyPJO0bDpKovCNHtyuwrlbaptCiVKbXaZHuxy3XqglLCNRxp5JKMybUSz1FGSfLE5qHnUxK6qwcJzbT6mtfwPqNhQhJSjFJr8iUKXbt8w6kxKqmIaqjFQZm5FOksNboWR5FrpPMtuR7PWG4jWLAuGFd1jW9ddOjTo8SsUuLOYankZSUNutJWlLuZmeuRKLPae3MbOMIzAAAAAAAAAAAAAAAAAAAAAAAAAAK6aannDhv3bH9S1QA01POHDfu2P6lqgACEaVjPjFghMr2GdtVCzZtMo9wVp5h6dQZSn1c0VB+SZLNE1KT1VPGkjJJbCIZU9LnSCUSUqXh4ZK4S/Z2b+oAAA0S3sSbgtZmpxaDhvg5EZqrCoM5tNoSlJfjKcPWZUSp5+VmajM0dKZ+oPfQMa78tekUin25ZuE1PiNTTqcZpm1JZbjL1FN7uR835m5qLUnWPbqnlwAAA0i3q7iXbF0R72aq1nSnp8upzJsd623ibqHPIjU61L1ZhHIbQThkhK9hZJM8zIbpbmMF5WvEiwbasbCSmx4s5NUYbYtSWRNSkkplDqf8AH7FJQpSSP1CMyLIgAAem/cc8RMSoaaJiDa2FtfhRZGu0xNtqatCV5dNlzwyzGZpmlZjnSabFp1Kj4dRYcKOTMdhFvTtVttJESUl/pDgIiIgAAeC7dInFm+6TPtu8qLhjWKY223LXFlW1NWha0OEpB5c8NhpURGRltIyGAnYj1+XRIlkS8N8HHaNT3XJcWIq0JWo08sujcL/H56yszJR55qI8jzAABxeOMuKF7WZcFsHDw8o7VfpMemzJFOtqS28cRtJm2yWc006iSUtJJNJlqrUWW0YSn3HelBolZodZpuHNwUqqVaNMRTp1rySiQHkxEtkqK0icRMmZEZqNO1RqVme3IAAG+0nSTxat5/mmh0HC+A9zFFp2vHtiYg+ZWNfcWdk/pEa69UuAtYxhJGK93lek3EVdkYUHcyJCZbtUTbE1L7zzSSabWtRVDolJQkkkZ55FsAABum+/0g/ZYecnp36gNRu7Fy9cQpzdevWysJa1OpsLJh6basx0yaU6SjaPOodEjWIj1TzLP1AAAejyZ76k3g3iA9ZWEarkjuHGbqf7JSt3STbXQq1ub+mJJmklcJJ2EeWwajfl84i3zGthp5nDynQrbTORBgRrUeVFSqVkhbm5uTFES09EaVFlka1Z55gAAy1AxIvmjPW9JlUHDas1y14sSnQ69VLbmP1FaWS1G1uvc3ka1ltMjPgMzyyG1UzSbxhpFLXa9Lo+GUWmE04rmRu2ZhMmTq1KcI0c35GSlLUZ+uaj9cAAGHs7HjEHDlUyFYtoYVUNM11HNKoVsTG1PGRKJOsop+Zkkk5EWeRZnlkNs33+kH7LDzk9O/UAAAa/TsfcRqVcUi5aTZmD8KszjJUiosWbIblPG5tUa3UziUrP1cz2+qP3TMeMSKNHn0ui2fg9T40h5M2U1Gst9puQ8lRKS4tKZxEpZHkZKPMyMiMAAEeS7lxNuHEw8VZNZtJExdYpdaVGK23DLmthlKG8pByuaUs6qU5spdJs9uZZKMjkKPjpiHTHqkqDZeDsddSdS/PUzZb6DluJXuiVu5TujUSyJRGrMyVt4QAAZ7ff6QfssPOT079QHkp+ljjpTmG6TTImG0OLHJbTTLFtTG220p4CSlM8iIv4EAAD2Hpc6QSiSlS8PDJXCX7Ozf1Aa3Rsbr/tuLUWrdsjBult1F04k5EOyn2UykHnmThInFrkeZ7DzLafrgAA9FG0g8T6I1CotCtbCWmw4rpzIjES0JDLcd429riEpnESVmS1FrFkeRn64jq0K5iRal+pxDj1Wz5cgjqVRZjSLZWSScnka5BOvIlJfkp6JRJS84skllkXQlkAASFRtIDEq3CbplvWfhBTGGJfNTbcOzZDKESMlo3UkonERL1cy1uHIzLMc1/SPxTvFbR3Va2E1Y53L3aNzwtGTJ3Ffska849U9hbSAABnU6XekCRaqTw8IiLYRW9N2f8A9AN9/pB+yw85PTv1AAADff6QfssPOT079QDff6QfssPOT079QAAA33+kH7LDzk9O/UA33+kH7LDzk9O/UAAAN9/pB+yw85PTv1AN9/pB+yw85PTv1AAADff6QfssPOT079QDff6QfssPOT079QAAA33+kH7LDzk9O/UA33+kH7LDzk9O/UAAAN9/pB+yw85PTv1AN9/pB+yw85PTv1AAADff6QfssPOT079QDff6QfssPOT079QAAB4ade2Kek5iHY9hXpWbVpsCFUZddQ7S6FJQ8p1FPlskgzcmLTq5SFGfQ55pIAAAf//Z" width="504" height="264"></p><p><strong>Baggrunden for den nye takstmodel</strong></p><p>Takstmodellen er skabt på baggrund af BIT-modellen. Det vil sige, at der med den nye model vil være et tydeligt samspil mellem borgernes behov, den ydede indsats og den udmålte takst.</p><p>VUM 2.0 (Voksenudredningsmetoden) danner det metodiske grundlag for takstmodellen. Metoden anvendes til sagsbehandling på myndighedsområdet for voksne med handicap og psykiske vanskeligheder eller sociale problemer.</p><p>Hertil er det fælleskommunale funktionsevne-guide et redskab til at understøtte brugen af VUM 2.0 gennem vurderingen af borgernes funktionsevne. Se nedenfor.</p><p> </p><p><img 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" width="361" height="242"></p></span> <div><h3>Økonomi</h3> <span class='oekonomi'><p>Takstmodellen indebærer ingen økonomiske konsekvenser.</p></span> </div> </div></div>"
- Tekst null
- Id "00000000-0000-0000-0000-000000000000"
- Link "https://dagsordener.struer.dk/Vis/Pdf/bilag/7bd1187e-6b10-425f-8728-58b2849621c1"
- DocumentId "7bd1187e-6b10-425f-8728-58b2849621c1"
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- Presentations null
- ItemDecision null
- SagsNummer "00.16.02-P20-7-23"
- Navn "Takstmodel - Salg af pladser (SA)"
- Punktnummer "65"
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Bilag 1 items
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4 items
- HarPdfVersion "true"
- Order 0
- Navn "Bilag 1 - Takstkatalog"
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- Documents null
- Id "e0279ae9-d6c3-4341-83c3-0ce10d212ad6"
- IntegrationUid "00000000-0000-0000-0000-000000000000"
- CorporationUid "00000000-0000-0000-0000-000000000000"
- AgendaUid "93933502-ac86-4911-948c-5900e1f1ef6f"
- Number "65"
- Sorting 8
- IsOpen true
- CaseNumber "00.16.02-P20-7-23"
- SourceId "3cef3cae-0b10-409a-a37a-90d1cbc6fb9b"
- Caption "Takstmodel - Salg af pladser (SA)"
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