{"id":1469,"date":"2024-01-31T17:10:30","date_gmt":"2024-01-31T08:10:30","guid":{"rendered":"https:\/\/info.zanet.biz\/?p=1469"},"modified":"2024-01-31T17:10:31","modified_gmt":"2024-01-31T08:10:31","slug":"%e5%8a%b9%e6%9e%9c%e6%8e%a8%e5%ae%9a%e5%80%a4%e3%81%ae%e6%a8%99%e6%ba%96%e5%8c%96%e3%81%a8%e6%ad%a3%e8%a6%8f%e5%8c%96","status":"publish","type":"post","link":"https:\/\/info.zanet.biz\/?p=1469","title":{"rendered":"\u52b9\u679c\u63a8\u5b9a\u5024\u306e\u6a19\u6e96\u5316\u3068\u6b63\u898f\u5316"},"content":{"rendered":"\n

\u8907\u6570\u306e\u30a2\u30a6\u30c8\u30ab\u30e0\u306b\u5bfe\u3059\u308b\u4ecb\u5165\u306e\u52b9\u679c\u3092\u5bfe\u7167\u3068\u6bd4\u8f03\u3057\u3066\u3001\u96c6\u7d04\u3057\u3001\u6b63\u5473\u306e\u76ca net benefit\u3092\u8a08\u7b97\u3059\u308b\u306b\u306f\u3001\u52b9\u679c\u63a8\u5b9a\u5024\u306e\u5c3a\u5ea6\uff08\u30b9\u30b1\u30fc\u30eb\uff09\u3092\u3059\u3079\u3066\u306e\u30a2\u30a6\u30c8\u30ab\u30e0\u306b\u5bfe\u3057\u3066\u540c\u3058\u306b\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u6cbb\u7652\u30fb\u975e\u6cbb\u7652\u306e\u3088\u3046\u306a\u4e8c\u5024\u5909\u6570 binary\/dichotomous variable\u306e\u5834\u5408\u306f\u3001\u524d\u56de\u306e\u6295\u7a3f<\/a>\u3067\u89e3\u8aac\u3057\u305f\u3088\u3046\u306b\u3001\u30ea\u30b9\u30af\u5dee\u3092\u7528\u3044\u308c\u3070\u5171\u901a\u306e\u5c3a\u5ea6\u306b\u306a\u308a\u3001\u7d76\u5bfe\u52b9\u679c\u3092\u8868\u3057\u3001\u76f4\u7dda\u95a2\u4fc2\u304c\u7dad\u6301\u3055\u308c\u307e\u3059\u3002\u3057\u304b\u3057\u3001\u9023\u7d9a\u5909\u6570\u30a2\u30a6\u30c8\u30ab\u30e0\u3082\u53d6\u308a\u6271\u3046\u5834\u5408\u306f\u3001\u4f55\u3089\u304b\u306e\u65b9\u6cd5\u3067\u5909\u63db\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n

\u307e\u305f\u3001\u9023\u7d9a\u5909\u6570\u30a2\u30a6\u30c8\u30ab\u30e0\u3060\u3051\u3092\u6271\u3046\u5834\u5408\u3082\u3001\u8907\u6570\u306e\u30a2\u30a6\u30c8\u30ab\u30e0\u304c\u3042\u308c\u3070\u3001\u4f8b\u3048\u3070\u3001\u8840\u6e05\u30a2\u30eb\u30d6\u30df\u30f3\u5024\u3068HbA1c\u306e\u69d8\u306b\u5358\u4f4d\u304c\u7570\u306a\u308b\u3001\u3064\u307e\u308a\u3001\u5c3a\u5ea6\u304c\u7570\u306a\u308b\u5834\u5408\u3001\u4f55\u3089\u304b\u306e\u65b9\u6cd5\u3067\u5909\u63db\u3057\u3001\u5171\u901a\u306e\u5c3a\u5ea6\u306b\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n

\u4ee5\u4e0a\u306e\u3088\u3046\u306a\u5909\u63db\u3092\u30b9\u30b3\u30a2\u5316\u3068\u547c\u3073\u307e\u3059\u3002<\/p>\n\n\n\n

\u591a\u75be\u60a3\u3092\u6301\u3064\u9ad8\u9f62\u8005\u306b\u5bfe\u3059\u308b\u6700\u5584\u306e\u30b1\u30a2\u3092\u3001\u3044\u304f\u3064\u304b\u306e\u56fd\u3001\u5730\u57df\u5225\u306b\u6c7a\u3081\u308bEU\u306eSELFIE\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3067\u306f\u3001\u591a\u57fa\u6e96\u6c7a\u65ad\u5206\u6790 Multi-Criteria Decision Analysis (MCDA\uff09\u306b\u3088\u308a\u300117\u306e\u7570\u306a\u308b\u7d71\u5408\u30b1\u30a2\u30d7\u30ed\u30b0\u30e9\u30e0\u3068\u901a\u5e38\u30b1\u30a2\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u7dcf\u30d0\u30ea\u30e5\u30fc\u30b9\u30b3\u30a2\u3092\u6bd4\u8f03\u3057\u3066\u3044\u307e\u3059\u3002\u4ee5\u524d\u305d\u306e\u3088\u3046\u306aEU\u306e\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u304c\u3042\u308b\u3068\u3044\u3046\u3053\u3068\u3092\u7d39\u4ecb\u3057\u307e\u3057\u305f<\/a>\u3002\u30a2\u30a6\u30c8\u30ab\u30e0\u306f\u3001\u9023\u7d9a\u5909\u6570\u30a2\u30a6\u30c8\u30ab\u30e0\u306e\u307f\u3067\u3001\u8cbb\u7528\u3082\u542b\u307e\u308c\u3066\u3044\u307e\u3059\u3002\u5404\u30b1\u30a2\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u52b9\u679c\u306e\u5927\u304d\u3055\uff08\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\uff09\u306e\u5c3a\u5ea6\u3092\u5408\u308f\u305b\u308b\u305f\u3081\u3001\u5404\u30a2\u30a6\u30c8\u30ab\u30e0\u306b\u5bfe\u3059\u308b\u52b9\u679c\u63a8\u5b9a\u5024\u306b\u5bfe\u3057\u3066\u3001\u6a19\u6e96\u5316 Standardization\u3068\u30b9\u30a6\u30a3\u30f3\u30b0\u30a6\u30a7\u30a4\u30c6\u30a3\u30f3\u30b0 Swing-weighting\u3068\u3044\u3046\u65b9\u6cd5\u3092\u7528\u3044\u3066\u3001\u30b9\u30b3\u30a2\u5316\u3092\u884c\u3063\u3066\u3001\u91cd\u307f\u3065\u3051\u52a0\u7b97\u30e2\u30c7\u30eb\u3067\u7dcf\u30d0\u30ea\u30e5\u30fc\u30b9\u30b3\u30a2\u3092\u8a08\u7b97\u3057\u3066\u3044\u307e\u3059\u3002\u306a\u304a\u30012\u7fa4\u9593\u306e\u7dcf\u30d0\u30ea\u30e5\u30fc\u30b9\u30b3\u30a2\u306e\u5dee\u306f\u3044\u308f\u3086\u308b\u6b63\u5473\u306e\u76ca\u306b\u76f8\u5f53\u3057\u307e\u3059\u3002<\/p>\n\n\n\n

\u6a19\u6e96\u5316 Standardization\u306f\u3001\u305d\u306e\u30a2\u30a6\u30c8\u30ab\u30e0\u306b\u5bfe\u3059\u308b\u3001\u4ecb\u5165\u7fa4\u306e\u52b9\u679c\u63a8\u5b9a\u5024\u3068\u5bfe\u7167\u7fa4\u306e\u52b9\u679c\u63a8\u5b9a\u5024\u3001\u3059\u306a\u308f\u3061\u7d76\u5bfe\u30ea\u30b9\u30af\u304b\u3089\u8a08\u7b97\u3057\u307e\u3059\u304c\u3001\u6a19\u6e96\u6b63\u898f\u5206\u5e03\u306eZ\u5024\u3092\u6c42\u3081\u308b\u8a08\u7b97\u3068\u540c\u3058\u3067\u3059\u3002\u56f3\u306e\u2461\u306b\u793a\u3059\u3001\u5206\u6bcd\u306f\u4e0d\u504f\u6a19\u6e96\u504f\u5dee\u306e\u8a08\u7b97\u306b\u76f8\u5f53\u3057\u307e\u3059\u3002\u6a19\u6e96\u5316\u306b\u3088\u3063\u3066\u3001\u52b9\u679c\u63a8\u5b9a\u5024\u304c\u6b63\u306e\u5024\u3060\u3051\u3067\u3042\u308c\u3070\u30010\uff5e1\u306e\u7bc4\u56f2\u306e\u5024\u306e\u30b9\u30b3\u30a2\u306b\u5909\u63db\u3055\u308c\u307e\u3059\u3002\u8ca0\u306e\u5024\u3082\u542b\u307e\u308c\u308b\u5834\u5408\u306f\u3001-1\uff5e+1\u306e\u7bc4\u56f2\u306e\u5024\u306b\u5909\u63db\u3055\u308c\u307e\u3059\u3002<\/p>\n\n\n\n

\"\"
\u56f3 \u6b63\u898f\u5316 Normalization\u3068\u6a19\u6e96\u5316 Standardization<\/figcaption><\/figure>\n\n\n\n

Swing-weighting\u306f\u6b63\u898f\u5316 Nomalization\u306e\u3072\u3068\u3064\u306b\u76f8\u5f53\u3057\u307e\u3059\u3002\u56f3\u306e\u2460\u306b\u793a\u3059\u3088\u3046\u306b\u3001\u3042\u308a\u5f97\u308b\u6700\u60aa\u306e\u63a8\u5b9a\u5024W\u3068\u3042\u308a\u5f97\u308b\u6700\u5584\u306e\u63a8\u5b9a\u5024B\u3092\u8a2d\u5b9a\u3057\u3001[(E – W)\/(B – W)]\u00d7100\u3067\u30b9\u30b3\u30a2\u306b\u5909\u63db\u3057\u307e\u3059\u3002\u4e00\u822c\u306b\u6b63\u898f\u5316\u3068\u3044\u3046\u5834\u5408\u3001\u3042\u308a\u5f97\u308b\u6700\u60aa\u306e\u5024\u306b\u5bfe\u3057\u3066\u3001\u6700\u5c0f\u5024\u3001\u3042\u308a\u5f97\u308b\u6700\u5584\u306e\u5024\u306b\u5bfe\u3057\u3066\u3001\u6700\u5927\u5024\u3068\u3044\u3046\u547c\u3073\u65b9\u3092\u3057\u3066\u3044\u307e\u3059\u3002100\u500d\u3059\u308b\u524d\u306e\u5024\u306f\u3001\u3082\u3057\u52b9\u679c\u63a8\u5b9a\u5024\u304c\u6b63\u306e\u5024\u3060\u3051\u3067\u3042\u308c\u3070\u30010\uff5e1\u306e\u7bc4\u56f2\u306b\u306a\u308a\u307e\u3059\u3002\u8ca0\u306e\u5024\u3082\u542b\u3081\u308b\u5834\u5408\u306f\u3001-1\uff5e+1\u306e\u7bc4\u56f2\u306e\u5024\u306b\u5909\u63db\u3055\u308c\u307e\u3059\u3002\u305d\u306e\u70b9\u3067\u306f\u3001\u6a19\u6e96\u5316\u3068\u540c\u3058\u7bc4\u56f2\u306e\u5024\u304c\u5f97\u3089\u308c\u307e\u3059\u3002<\/p>\n\n\n\n

\u6b63\u5473\u306e\u76ca\u3092\u6c42\u3081\u308b\u306b\u306f\u3001\u30b9\u30b3\u30a2\u306b\u5bfe\u3057\u3001\u5404\u30a2\u30a6\u30c8\u30ab\u30e0\u306e\u91cd\u8981\u5ea6\u3092\u639b\u3051\u7b97\u3057\u3001\u7dcf\u548c\u3092\u8a08\u7b97\u3057\u307e\u3059\u3002SELFIE\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3067\u306f\u3001\u30b9\u30a6\u30a3\u30f3\u30b0\u30a6\u30a7\u30a4\u30c6\u30a3\u30f3\u30b0 Swing-weighting\u3068\u96e2\u6563\u9078\u629e\u5b9f\u9a13 Discrete Choice Experiment \uff08DCE\uff09\u4e8c\u3064\u306e\u65b9\u6cd5\u304c\u7528\u3044\u3089\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n

\u30fb\u30b9\u30a6\u30a3\u30f3\u30b0\u30a6\u30a7\u30a4\u30c6\u30a3\u30f3\u30b0 Swing-weighting\u3067\u306f\u3001\u6700\u3082\u91cd\u8981\u306a\u30a2\u30a6\u30c8\u30ab\u30e0\u3092\u9078\u629e\u3059\u308b\u969b\u306b\u3001\u6700\u60aa\u306e\u52b9\u679c\u63a8\u5b9a\u5024\u2010\u6700\u5584\u306e\u52b9\u679c\u63a8\u5b9a\u5024\u306e\u3001\u632f\u308c\u5e45swing\u304c\u6700\u5927\u306e\u30a2\u30a6\u30c8\u30ab\u30e0\u3092\u898b\u3064\u3051\u3001\u305d\u306e\u30a2\u30a6\u30c8\u30ab\u30e0\u81ea\u4f53\u306e\u91cd\u8981\u5ea6\u3068\u5408\u308f\u305b\u3066\u3001\u6700\u91cd\u8981\u3068\u3057\u3066\u3044\u3044\u304b\u3092\u8003\u3048\u307e\u3059\u3002\u4ed6\u306b\u3088\u308a\u91cd\u8981\u3068\u601d\u308f\u308c\u308b\u30a2\u30a6\u30c8\u30ab\u30e0\u304c\u3042\u308b\u5834\u5408\u3001swing\u3088\u308a\u3082\u305d\u3061\u3089\u3092\u512a\u5148\u3057\u3066\u3001\u305d\u306e\u30a2\u30a6\u30c8\u30ab\u30e0\u3092\u6700\u91cd\u8981\u3068\u6c7a\u3081\u307e\u3059\u3002\u305d\u3057\u3066\u3001\u6700\u91cd\u8981\u306e\u30a2\u30a6\u30c8\u30ab\u30e0\u3092100\u3068\u3057\u3001\u305d\u308c\u4ee5\u5916\u306e\u30a2\u30a6\u30c8\u30ab\u30e0\u306e\u76f8\u5bfe\u7684\u91cd\u8981\u6027\u3092swing\u3068\u30a2\u30a6\u30c8\u30ab\u30e0\u81ea\u4f53\u306e\u91cd\u8981\u6027\u3068\u4e21\u65b9\u3092\u8003\u616e\u3057\u3066\u3001\u91cd\u8981\u5ea6\u306e\u5024\u3092\u8a2d\u5b9a\u3057\u3066\u3044\u304d\u307e\u3059\u3002<\/p>\n\n\n\n

\u30fb\u96e2\u6563\u9078\u629e\u5b9f\u9a13 Discrete Choice Experiment \uff08DCE\uff09\u3067\u306f\u3001\u305d\u308c\u305e\u308c\u306e\u30a2\u30a6\u30c8\u30ab\u30e0\u306b\u5bfe\u3059\u308b\u5bfe\u7167\u3068\u4ecb\u5165\u3001\u3059\u306a\u308f\u30612\u3064\u306e\u4ecb\u5165\u306e\u52b9\u679c\u306b\u3064\u3044\u3066\u3001\u4eee\u60f3\u306e\u5024\u3092\u8a2d\u5b9a\u3057\u3001\u3055\u307e\u3056\u307e\u306a\u7d44\u307f\u5408\u308f\u305b\u3092\u7528\u610f\u3057\u3066\u304a\u304d\u3001\u3053\u308c\u3089\u306e\u7d44\u307f\u5408\u308f\u305b\u306e\u30da\u30a2\u3092\u6bd4\u8f03\u3057\u306a\u304c\u3089\u3001\u671b\u307e\u3057\u3044\u3068\u601d\u3046\u65b9\u3092\u9078\u629e\u3055\u305b\u307e\u3059\u3002\u591a\u6570\u306e\u88ab\u691c\u8005\u304b\u3089\u306e\u7d50\u679c\u3092\u96c6\u8a08\u3057\u3001\u56de\u5e30\u5206\u6790\u3092\u9069\u7528\u3057\u3066\u3001\u30a2\u30a6\u30c8\u30ab\u30e0\u306e\u91cd\u8981\u5ea6\u3092\u6c7a\u3081\u307e\u3059\u3002<\/p>\n\n\n\n

\u52b9\u679c\u63a8\u5b9a\u5024\u306b\u306f\u3001\u4e0d\u78ba\u5b9f\u6027\u304c\u4f34\u3063\u3066\u3044\u307e\u3059\u304c\u300195%\u4fe1\u983c\u533a\u9593\u304c\u5206\u304b\u3063\u3066\u3044\u308c\u3070\u3001\u305d\u308c\u3089\u304b\u3089\u6b63\u5473\u306e\u76ca\u306e95%\u4fe1\u983c\u533a\u9593\u3092\u8a08\u7b97\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u78ba\u7387\u8ad6\u7684\u611f\u5ea6\u5206\u6790 Probabilistic Sensitivity Analysis (PSA)\u304c\u305d\u308c\u306b\u76f8\u5f53\u3057\u307e\u3059\u3002<\/p>\n\n\n\n

\u6b63\u5473\u306e\u76ca\u306e\u63a8\u5b9a\u306f\u3001GRADE\u30a2\u30d7\u30ed\u30fc\u30c1\u306e\u5b8c\u5168\u6587\u8108\u5316Fully contextualized appraoch\u306b\u3088\u308b\u30a8\u30d3\u30c7\u30f3\u30b9\u7dcf\u4f53\u306e\u30a8\u30d3\u30c7\u30f3\u30b9\u306e\u78ba\u5b9f\u6027\u306e\u8a55\u4fa1\u306b\u3082\u95a2\u4fc2\u304c\u3042\u308b\u306e\u3067\u3001\u4f55\u3089\u304b\u306e\u65b9\u6cd5\u3092\u9069\u7528\u3057\u3066\u8a08\u7b97\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u306e\u3067\u3059\u304c\u3001\u4e8c\u5024\u5909\u6570\u30a2\u30a6\u30c8\u30ab\u30e0\u3068\u9023\u7d9a\u5909\u6570\u30a2\u30a6\u30c8\u30ab\u30e0\u306e\u4e21\u65b9\u304c\u542b\u307e\u308c\u308b\u5834\u5408\u306b\u306f\u3001Swing-weighting\u306e\u3088\u3046\u306a\u65b9\u6cd5\u304c\u5fc5\u8981\u306b\u306a\u308a\u307e\u3059\u3002Swing-weighting\u306b\u3064\u3044\u3066\u306f\u3001\u4ee5\u524d\u306e\u6295\u7a3f<\/a>\u3082\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n

\u6587\u732e\uff1a
Rutten-van Molken M, Leijten F, Hoedemakers M, Tsiachristas A, Verbeek N, Karimi M, Bal R, de Bont A, Islam K, Askildsen JE, Czypionka T, Kraus M, Huic M, Pitter JG, Vogt V, Stokes J, Baltaxe E, SELFIE consortium: Strengthening the evidence-base of integrated care for people with multi-morbidity in Europe using Multi-Criteria Decision Analysis (MCDA). BMC Health Serv Res 2018;18:576. doi: 10.1509\/jmkr.41.4.392.47020 PMID: 30041653<\/a>

SELFIE\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u30a6\u30a7\u30d6\u30b5\u30a4\u30c8<\/a> S<\/u>USTAINABLE INTE<\/u>GRATED CARE MODEL<\/u>S FOR MULTI-MORBIDITY DELIVERY, F<\/u>INACI<\/u>NG AND PE<\/u>RFOMANCE (SELFIE)

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Tervonen T, Veldwijk J, Payne K, Ng X, Levitan B, Lackey LG, Marsh K, Thokala P, Pignatti F, Donnelly A, Ho M: Quantitative Benefit-Risk Assessment in Medical Product Decision Making: A Good Practices Report of an ISPOR Task Force. Value Health 2023;26:449-460. doi: 10.1016\/j.jval.2022.12.006 PMID: 37005055<\/a>

Wen S, Zhang L, Yang B: Two approaches to incorporate clinical data uncertainty into multiple criteria decision analysis for benefit-risk assessment of medicinal products. Value Health 2014;17:619-28. PMID: 25128056<\/a>

Ho M, Saha A, McCleary KK, Levitan B, Christopher S, Zandlo K, Braithwaite RS, Hauber AB, Medical Device Innovation Consortium\u2019s Patient Centered Benefit-Risk Steering Committee: A Framework for Incorporating Patient Preferences Regarding Benefits and Risks into Regulatory Assessment of Medical Technologies. Value Health 2016;19:746-750. PMID: 27712701<\/a>

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Hultcrantz M, Rind D, Akl EA, Treweek S, Mustafa RA, Iorio A, Alper BS, Meerpohl JJ, Murad MH, Ansari MT, Katikireddi SV, \u00d6stlund P, Tran\u00e6us S, Christensen R, Gartlehner G, Brozek J, Izcovich A, Sch\u00fcnemann H, Guyatt G: The GRADE Working Group clarifies the construct of certainty of evidence. J Clin Epidemiol 2017;87:4-13. doi: 10.1016\/j.jclinepi.2017.05.006 PMID: 28529184<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

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