LEADER 04237oam 2200805 450 001 9910715163403321 005 20220426080022.0 035 $a(CKB)5470000002508379 035 $a(OCoLC)1099620769$z(OCoLC)1117899727$z(OCoLC)1231437946 035 $a(EXLCZ)995470000002508379 100 $a20190314d2018 ua 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEvidence brief$iUse of patient reported outcome measures for measurement based care in mental health shared decision-making /$finvestigators, Kim Peterson, Johanna Anderson, Donald Bourne 210 1$aWashington, DC :$cDepartment of Veterans Affairs, Veterans Health Administration, Quality Enhancement Research Initiative, Health Services Research & Development Service,$dNovember 2018. 215 $a1 online resource (3 volumes) $cillustrations (some color) 300 $a"November 2018." 320 $aIncludes bibliographical references. 327 $aBrief -- Executive summary -- Supplemental materials. 330 3 $aMeasurement based care (MBC) is a care delivery approach involving the regular use of standardized measures in routine mental health care to identify individuals not improving as expected and to prompt treatment changes. In the US Department of Veterans Affairs (VA), MBC is specifically defined as: (1) Collect = use of "reliable, validated, clinically appropriate measures at intake and at regular intervals", (2) Share = "results from the measures are immediately shared and discussed with the Veteran and other providers involved in the Veteran's Care", and (3) Act = "Together, providers and Veterans use outcome measures to develop treatment plans, assess progress over time, and inform shared decisions about changes to the treatment plan over time". As of January 2018, the Joint Commission requires MBC use in all mental health treatment programs accredited under behavioral health standards both within and outside of VA. As MBC delivery has varied widely and shown equally variable clinically meaningful effects across studies, guidance is needed on which specific delivery approaches may operate most effectively and why. This rapid evidence synthesis builds on recent conflicting reviews by adding 14 new studies and focusing on the subset of approaches with the most clinically meaningful and highest-strength evidence and with the most relevance to the specific approach currently recommended by VA. 517 3 $aUse of patient reported outcome measures for measurement based care in mental health shared decision-making 517 1 $aEvidence brief: use of PROMs for MBC in shared decision-making 606 $aMental illness 606 $aTherapeutics 606 $aDecision making 606 $aOutcome assessment (Medical care) 606 $aMental illness$xTreatment 606 $aDecision making$2fast 606 $aMental illness$2fast 606 $aOutcome assessment (Medical care)$2fast 606 $aTherapeutics$2fast 608 $aTables (Data)$2lcgft 615 0$aMental illness. 615 0$aTherapeutics. 615 0$aDecision making. 615 0$aOutcome assessment (Medical care) 615 0$aMental illness$xTreatment. 615 7$aDecision making. 615 7$aMental illness. 615 7$aOutcome assessment (Medical care) 615 7$aTherapeutics. 700 $aPeterson$b Kim$01385536 702 $aAnderson$b Johanna 702 $aBourne$b Donald 712 02$aQuality Enhancement Research Initiative (U.S.) 712 02$aUnited States.$bDepartment of Veterans Affairs.$bHealth Services Research and Development Service, 712 02$aVA Portland Health Care System.$bEvidence Synthesis Program. 801 0$bNLM 801 1$bNLM 801 2$bLVT 801 2$bVT2 801 2$bOCLCO 801 2$bNLM 801 2$bOCLCO 801 2$bOCLCA 801 2$bGPO 801 2$bOCLCO 801 2$bOCLCF 801 2$bOCLCO 801 2$bOCLCA 801 2$bOCLCQ 801 2$bOCLCO 801 2$bGPO 906 $aBOOK 912 $a9910715163403321 996 $aEvidence brief$93470124 997 $aUNINA LEADER 01554nam0 2200397 i 450 001 RMG0019289 005 20251003044336.0 010 $a8814056670 010 $a8814056706 020 $aIT$b96-7337 100 $a20130827d1996 ||||0itac50 ba 101 | $aita 102 $ait 181 1$6z01$ai $bxxxe 182 1$6z01$an 200 1 $aˆIl ‰diritto comunitario dei trasporti$fFrancesco Munari 210 $aMilano$cA. 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B. de Oliveira 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XVII, 105 p. 318 illus., 2 illus. in color.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v11525 300 $aIncludes index. 311 08$a3-030-20980-6 327 $aOn the Effects Offering Memory in the Dynamics of Conjunctive Networks -- Complexity-Theoretic Aspects of Expanding Cellular Automata -- Iterative Arrays with Finite Inter-Cell Communication -- Bounding the Minimal Number of Generators of Groups and Monoids of Cellular Automata -- Enhancement of Automata with Jumping Modes -- Iterative Arrays with Self-Verifying Communication Cell -- Generic Properties in Some Classes of Automation Groups. 330 $aThis volume constitutes the refereed proceedings of the 25th IFIP WG 1.5 International Workshop on Cellular Automata and Discrete Complex Systems, AUTOMATA 2019, held in Guadalajara, Mexico, in June 2019. The 7 regular papers presented in this book were carefully reviewed and selected from a total of 10 submissions. The topics of the conference include deal with dynamical, topological, ergodic and algebraic aspects of CA and DCS, algorithmic and complexity issues, emergent properties, formal languages, symbolic dynamics, tilings, models of parallelism and distributed systems, timing schemes, synchronous versus asynchronous models, phenomenological descriptions, scientic modeling, and practical applications. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v11525 606 $aComputer science 606 $aMachine theory 606 $aArtificial intelligence 606 $aNumerical analysis 606 $aDatabase management 606 $aTheory of Computation 606 $aComputer Science Logic and Foundations of Programming 606 $aFormal Languages and Automata Theory 606 $aArtificial Intelligence 606 $aNumerical Analysis 606 $aDatabase Management 615 0$aComputer science. 615 0$aMachine theory. 615 0$aArtificial intelligence. 615 0$aNumerical analysis. 615 0$aDatabase management. 615 14$aTheory of Computation. 615 24$aComputer Science Logic and Foundations of Programming. 615 24$aFormal Languages and Automata Theory. 615 24$aArtificial Intelligence. 615 24$aNumerical Analysis. 615 24$aDatabase Management. 676 $a511.3 676 $a006.3822 702 $aCastillo-Ramirez$b Alonso$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $ade Oliveira$b Pedro P. 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