A Systematic Process to Prioritize Prevention Activities Sustaining Progress Toward the Reduction of Military Injuries Michelle Canham-Chervak, PhD, MPH, Tomoko I. Hooper, MD, MPH, Fred H. Brennan, Jr, DO, Stephen C. Craig, DO, MTM&H, Deborah C. Girasek, PhD, MPH, Richard A. Schaefer, MD, MPH, Galen Barbour, MD, Kenneth S. Yew, MD, Bruce H. Jones, MD, MPH Background:To sustain progress toward injury reduction and other health promotion goals, publichealthorganizationsneedasystematicapproachbasedondataandanevaluationofexisting scientifıcevidenceonprevention.Thispaperdescribesaprocessandcriteriadevelopedtosystem- aticallyandobjectivelydefınepreventionprogramandpolicypriorities. Methods:Militarymedicalsurveillancedatawereobtainedandsummarized,andaworkinggroup ofepidemiologyandinjuryexpertswasformed.Afterreviewingtheavailabledata,theworkinggroup usedpredefınedcriteriatoscoreleadingmilitaryunintentionalinjurycausesonfıvemaincriteria that assessed factors contributing to program and policy success: (1) importance of the problem, (2)effectivenessofexistingpreventionstrategies,(3)feasibilityofestablishingprogramsandpolicies, (4)timelinessofimplementationandresults,and(5)potentialforevaluation.Injuryproblemswere rankedbytotalmedianscore. Results:Causeswiththehighesttotalmedianscoreswerephysicaltraining(34points),military parachuting (32 points), privately-owned vehicle crashes (31 points), sports (29 points), falls (27 points),andmilitaryvehiclecrashes(27points). Conclusions:Using a data-driven, criteria-based process, three injury causes (physical training, militaryparachuting,andprivatelyowned–vehiclecrashes)withthegreatestpotentialforsuccessful program and policy implementation were identifıed. Such information is useful for public health practitionersandpolicymakerswhomustprioritizeamonghealthproblemsthatarecompetingfor limitedresources.Theprocessandcriteriacouldbeadaptedtosystematicallyassessandprioritize healthissuesaffectingothercommunities. (AmJPrevMed2010;38(1S):S11–S18)PublishedbyElsevierInc.onbehalfofAmericanJournalofPreventive Medicine Introduction H istorically, public health policy development From the Injury Prevention Program (Canham-Chervak, Jones), U.S. has been largely driven by ad hoc, often high- ArmyCenterforHealthPromotionandPreventiveMedicine,Aberdeen visibilityandemotion-invoking,issuesofpublic Proving Ground; Departments of Preventive Medicine and Biometrics concern.1Whilerespondingtotheseissuesisanecessary (Hooper,Girasek,Barbour),MilitaryandEmergencyMedicine(Craig), Surgery(Schaefer),andFamilyMedicine(Yew),UniformedServicesUni- component of public health practice and policy, sus- versityoftheHealthSciences,Bethesda,Maryland;andSeacoastOrthope- tained progress toward the reduction or prevention of dicsandSportsMedicine(Brennan),Somersworth,NewHampshire leading health problems requires a more systematic ap- FredH.Brennan,Jr,DOwasanemployeeofUniformedServicesUni- versityoftheHealthScienceswhenthisresearchwascompleted proachbasedonareviewofavailableepidemiologicdata Address correspondence and reprint requests to: Michelle Canham- and evaluation of the scientifıc evidence on existing or Chervak,PhD,MPH,U.S.ArmyCenterforHealthPromotionandPreven- tive Medicine, ATTN: MCHB-TS-DI, Aberdeen Proving Ground MD potential prevention strategies.2,3 As stated in the IOM 21010-5403.E-mail:[email protected]. report,TheFutureofPublicHealth,publichealthpolicy 0749-3797/00/$17.00 doi:10.1016/j.amepre.2009.10.003 developmentwouldbenefıtmostfrom“acarefulassess- PublishedbyElsevierInc.onbehalfofAmericanJournalofPreventiveMedicine AmJPrevMed2010;38(1S)S11–S18 S11 Report Documentation Page Form Approved OMB No. 0704-0188 Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. 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THIS PAGE Same as 8 unclassified unclassified unclassified Report (SAR) Standard Form 298 (Rev. 8-98) Prescribed by ANSI Std Z39-18 S12 Canham-Chervaketal/AmJPrevMed2010;38(1S):S11–S18 ment of existing knowledge, establishment of priorities tary Training Task Force of the Defense Safety Oversight basedondata,andallocationofresourcesaccordingtoan Council.12 The working group consisted of 18 faculty and objective assessment of the possibilities for greatest graduate student volunteers from the Uniformed Services impact.”1 UniversityoftheHealthSciences(USUHS).Itsmissionwas Intheinjurypreventionfıeld,expertopinionhasbeen toreviewandassessexistingnonbattlemedicalsurveillance thefoundationforprioritysettinginthepast.4–6Atleast andfıeldinvestigationdatatoidentifythelargestandmost preventableDoDunintentionalinjuryproblemsthat,ifad- onescoringsystemhasbeendevelopedforuseindefıning dressed,hadthegreatestpotentialtorapidlyreducemilitary injury prevention priorities that provides an objective, injuryrates. quantitativeassessmentofinjurybasedonthefrequency Available epidemiologic data were obtained. Aggregate ofemergencydepartmentvisitsbymechanismofinjury data on nonfatal, non-deployment-related inpatient and andtheseverityoftheinjurybasedontheInjurySeverity outpatientmedicalencounters,asrecordedintheDefense Score.7 However, in public health policy development, Medical Surveillance System (DMSS),13 were requested frequency and severity are only part of what must be from the Armed Forces Health Surveillance Center (for- consideredwhendecidingwhatprogramsandpoliciesto merly, the Army Medical Surveillance Activity). Graphic implement. Information on the effectiveness of preven- representations and data summaries were prepared by the tionstrategies,gatheredfromexistingstudiesorsystem- U.S. Army Center for Health Promotion and Preventive aticreviews,shouldalsobeconsidered.Additionally,po- Medicine, examples of which are presented elsewhere.14 litical,social,andeconomicfactorsinfluencethesuccess Summariesincludeddescriptionsofinjury-relatedmedical or failure of a public health program or policy. While encounters in relation to other health problems, inpatient many of these factors have been incorporated into sug- (hospitalization)andoutpatientinjuryratesovertime,and gestedcriteriatoevaluateinjuryprogramsandpolicies,8,9 leading injury types and causes of hospitalizations among therearenoprioritizationprocessesthathavecombined active duty military personnel (all Services) between 2003 allofthesefactors,noraretherepublisheddescriptionsof and 2005. Given that activities and causes associated with outpatientinjurieswerenotroutinelycodedinthemedical applicationsofprocessesthatcombineallofthesefactors. data,causeofinjuryinformationfromfıeldinvestigations, Thispaperdescribestheapplicationofaprioritization whereinformationoncausesofoutpatientvisitswerecap- process that includes the review of fatal and nonfatal tured from medical record reviews, were also summa- injuryepidemiologicdatawiththeuseofpredetermined rized.15–17Frequenciesofactivedutyservicememberfatal- criteria and scoring to obtain an objective, quantitative ities by type (i.e., accident, illness, hostile action, other assessment of the degree to which the leading causes of intentional) were obtained from the Offıce of the Armed militaryinjuriesarelikelytohavesuccessfulprogramand ForcesMedicalExaminerforallServicesfor2003and2004. policy implementation in the U.S. Department of De- Duringa1-daymeeting,MIEPPWGmemberswerepre- fense(DoD).Thisworkbuildsontwopriorinjurypriori- sentedwiththeepidemiologicdatadescribedabove.Work- tizationefforts:onethatgeneratedinjurypreventionpri- inggroupmembersthenreviewed,discussed,andreached orities for the U.S. Army Center for Health Promotion consensus on how they interpreted the previously estab- and Preventive Medicine’s Injury Prevention Pro- lishedcriteriaforprioritizinginjuryprogramsandpolicies gram3,10 and another that produced injury prevention (Table 1).2,3,10,18 Following the meeting, working group priorities for the DoD.11 Rationale and background on memberscompletedtheprioritizationprocess.Worksheets thedevelopmentofthisprocessareexplainedindetailby werecompletedindependently,thensubmittedtothelead Jonesetal.2Thepurposesoftheprioritizationinitiative author(MCC)forcompilation.Worksheetswerecompleted describedinthispaperwereto(1)refınepreviouspriori- foreachofthefollowingleadingcausesofmilitaryinjuries: tizationeffortsbyutilizinginputfromexpertswithpublic falls/jumps,crashesofprivatelyownedmotorvehicles(in- healthtrainingandexperienceevaluatingepidemiologic cludes trucks, cars, motorcycles), physical training, sports, guns/explosives, military parachuting, twists/turns/slips data and the scientifıc literature; and (2) to apply pre- withoutfall,militarymotorvehiclecrashes,nontraffıcmo- defıned criteria to identify top DoD injury causes most torvehicleincidents,andmachinery/tools.Thesecausecat- amenable to implementation of prevention programs egorieswereconsistentwiththeNATOmilitaryinjurycause andpolicies. coding system,19 which is employed by the U.S. military healthsystemtocause-codeinjuryhospitalizations.Nineof these ten causes were identifıed from medical surveillance Methods dataastheleadingcausesofunintentionalinjuryhospital- ThisinitiativebeganinApril2006withtheformationofthe izationsfortheleadingcausesofDoDinjurytypesamong Military Injury Epidemiology and Prevention Priorities active duty military personnel in 2004.18 Physical training WorkingGroup(MIEPPWG),establishedundertheMili- wasincludedbasedonevidencethatapproximatelyhalfof www.ajpm-online.net Canham-Chervaketal/AmJPrevMed2010;38(1S):S11–S18 S13 Table 1. Criteria for prioritizing injury causes amenable to prevention programs and policies Criterion Preliminaryrating Finalscore A.Consistentwiththemissionoftheagency/organization/workinggroup []YES IfYES—Continuewithscoring. []NO IfNO—Stophere. B.Importanceofproblemtohealthandreadiness(10points) (10points;1(cid:1)low,10(cid:1)high) Considerations: 1.Magnitudeoftheproblem(e.g.,frequency,incidence) 1.[]Low[]Medium[]High 2.Severityofproblem(e.g.,injurydiagnosis,lengthofstayorrecuperation) 2.[]Low[]Medium[]High 3.Costoftheproblem(e.g.,medical,training,property,andpersonnelcosts 3.[]Low[]Medium[]High suchaslostworktime) 4.Sizeofpopulationatrisk 4.[]Low[]Medium[]High 5.Degreeofconcern(e.g.,leadershipconcern,publicandServicemember 5.[]Low[]Medium[]High concern,visibilityofproblem) C.Preventabilityofproblem(10points) (10points;1(cid:1)low,10(cid:1)high) Considerations: 1.Cause(s)areidentifiable 1.[]Low[]Medium[]High 2.Riskfactorsaremodifiable 2.[]Low[]Medium[]High 3.Provenpreventionstrategiesthatreduceexistinginjuryratesexista 3.[]Low[]Medium[]High 4.Preventionstrategiesthatreduceexistinginjuryratescanbedesigned 4.[]Low[]Medium[]High 5.Effectsize 5.[]Low[]Medium[]High D.Feasibilityofprogramorpolicy(10points) (10points;1(cid:1)low,10(cid:1)high) Considerations: 1.Existenceofinfrastructuretosupportimplementationandsustainabilityof 1.[]Low[]Medium[]High theprogramorpolicy(e.g.,medicalstaffandfacilities,safetystaffand resources) 2.Perceivedadequacyoffundingtosupportimplementationandsustainability 2.[]Low[]Medium[]High 3.Authoritytoimplementandsustaintheprogramorpolicyisheldor 3.[]Low[]Medium[]High obtainablebytheimplementingorganization(s) 4.Programorpolicywillnotundermineessentialmissions 4.[]Low[]Medium[]High 5.Politicalandculturalacceptabilityofprogramorpolicy 5.[]Low[]Medium[]High 6.Accountabilityandresponsibilityforimplementationandsustainabilityexists 6.[]Low[]Medium[]High orcanbeestablished E.Timeliness(5points) (5points;1(cid:1)low,5(cid:1)high) Considerations: 1.Implementationtimeb 1.[]Low[]Medium[]High 2.Resultstimeb 2.[]Low[]Medium[]High F.Evaluationofprogramorpolicy(5points) (5points;1(cid:1)low,5(cid:1)high) Considerations: 1.Abilitytoevaluateeffectsofprogramorpolicyexists(i.e.,ifametricis 1.[]Low[]Medium[]High possible) 2.Benefitsofprogramorpolicyoutweighthecostsofimplementationand 2.[]Low[]Medium[]High sustainability 3.Collateralbenefitsasaresultofimplementation(e.g.,increasedreadiness, 3.[]Low[]Medium[]High decreasedattrition,anddecreasedotherhealthproblems) Totalscore aIfsystematicreviewssubstantiateeffectivenessofapreventionstrategy,scoreas10pointsautomatically. bAssignhighervaluetoprogramsandpolicieswithshorterimplementationandtimetodesiredresults. Instructions:Completeascorecardforeachinjuryproblemunderconsideration.First,provideapreliminaryratingforeachoftheConsiderationslistedundereach criterion.Then,usingthepreliminaryratingsasaguide,assignafinalscoreforeachcriterion.ForcriteriaB,C,andD,assignafinalscorefrom1to10(1(cid:1)lowest score,10(cid:1)highestscore).ForcriterionEandF,assignafinalscorefrom1to5(1(cid:1)lowestscore,5(cid:1)highestscore).Addingthefinalscoreswillprovideatotal score,withamaximumof40. January2010 S14 Canham-Chervaketal/AmJPrevMed2010;38(1S):S11–S18 injuriesoccurringamongactivedutyservicememberswere Results lowerextremity–overuseinjuries,14themajorityofwhichin militarypopulationsareattributedtophysicaltraining.24,25 Ninemembersoftheworkinggroup(50%)volunteered toparticipateinthefullprioritizationprocess.Nonpar- Medical surveillance data reports indicated that causes of injury hospitalizations did not vary substantially from ticipants, 44% of whom were graduate students, cited 2000–2004.20–23 “lackoftime”astheprimaryreasonfornotchoosingto Table1presentsthecompleteworksheetandcriteriaused participate.Memberswhocontributedtotheprioritiza- torateeachinjurycause.Theprocessfırstrequiredconsid- tionprocesswerealltrainedatthedoctoratelevelinone erationofwhetheradoptionofprogramsorpoliciesrelated ormoreofthefollowingdisciplines:behavioralscience, to the injury issue was consistent with the mission of the preventive medicine/epidemiology, occupational medi- agency applying the scoring criteria (i.e., the working cine,familymedicine,healthservicesadministration,in- group’smission).Themedicalsurveillanceandfıeldinves- ternalmedicine,orthopaedicsurgery,sportsmedicine,or tigationdataprovidedtoworkinggroupmemberswereused military medicine. Six of the nine were also formally toratetheimportanceoftheproblem(CriterionB).Prevent- trained in public health. Five participants were active ability, feasibility of prevention, timeliness, and evaluation- duty military, two were retired military, and two were potential (Criteria C–F) assessments relied on individual civilianacademicresearchersemployedbythemilitary. knowledgeandexperience.Apreliminaryscoreoflow,me- dium, or high was assigned to 21 factors, or “consider- Thehighestpossibletotalmedianscorewas40.Physi- ations,”withinthefıvemaincriteria(CriteriaB–F).Work- cal training received the highest score (34), followed by inggroupmembersconsideredpreliminaryratingsofeach military parachuting (32), privately-owned vehicle “consideration”indeterminingafınalnumericscoreforthe crashes (31), sports (29), falls (27), and military vehicle maincriterion.Maincriteriagivenahigher“weight”inthe crashes (27) (Table 2). Physical training and privately process(importanceoftheproblem,preventability,andfea- owned–vehicle crashes had the highest median score sibility)werescoredfrom1to10,andmaincriteriagivena (9points)forimportanceoftheproblem.Militarypara- lower “weight” (timeliness and evaluation potential) were chuting had the highest median score (10 points) for scoredfrom1to5.Theseweightswereadoptedfromprevi- preventability of the problem and evaluation potential ouswork.3,10,11 (5points).Physicaltrainingandtools/machineryhadthe Causeswererankedusingthemediantotalscoreofeach highestmedianscores(8points)forfeasibility;physical injury cause. Median values were chosen for ranking in training,militaryparachuting,andsportshadthehighest ordertoavoidthepotentialeffectsofscoringvariability,as mightbeexperiencedwithuseofmeanvalues.Thehigher medianscores(4points)fortimeliness. thescore,thestrongertheindicationthattheinjurycause Tools/machinery and nontraffıc vehicle incidents, wasamenabletoprogramandpolicyimplementation. comparedtoallothercauses,hadthelowestmedianscore Table 2. Prioritization results: median scores for five main criteria, total score, and rank order by cause of injury Causesofinjury Importancea Preventabilitya Feasibilitya Timelinessb Evaluation Total Rank median(IR) median(IR) median(IR) median(IR) potentialb scorec median(IR) Physicaltraining 9(8,10) 9(7,10) 8(6,9) 4(3,5) 4(4,5) 34 1 Militaryparachuting 6(3,7) 10(6,10) 7(5,9) 4(4,5) 5(4,5) 32 2 Privately-ownedvehiclecrashes 9(8,9) 8(7,10) 7(5,8) 3(2,4) 4(3,4) 31 3 Sports 7(7,9) 7(6,8) 7(5,8) 4(3,4) 4(4,5) 29 4 Falls 7(6,8) 7(5,8) 6(6,7) 3(3,3) 4(3,4) 27 5 Militaryvehiclecrashes 7(7,8) 7(6,9) 6(4,8) 3(3,4) 4(3,4) 27 5 Gunsandexplosives 7(5,8) 7(6,9) 6(5,8) 3(3,4) 3(2,5) 26 7 Toolsandmachinery 5(5,6) 6(5,9) 8(5,8) 2(2,4) 3(3,4) 24 8 Twists/turns(withoutfall) 6(5,7) 5(3,6) 5(4,7) 3(2,4) 3(2,3) 22 9 Nontrafficvehicleincidents 5(5,8) 6(4,8) 4(3,7) 2(2,4) 3(2,4) 20 10 aMaximumscore(cid:1)10 bMaximumscore(cid:1)5 cSumofmedianscoresacrosscriteria,maximumscore(cid:1)40 IR,interquartilerange www.ajpm-online.net Canham-Chervaketal/AmJPrevMed2010;38(1S):S11–S18 S15 forimportanceoftheproblem(5points)andtimeliness causescoredlowerthanothercausesontheimportance (2 points). Twist/turns had the lowest median score for oftheproblem.Evaluationshavedemonstratedthatan bothpreventabilityandfeasibility(5points).Tools/ma- effective prevention measure exists (i.e., an external chinery and nontraffıc vehicle incidents had the lowest parachute ankle brace), that would be expected to re- median score for timeliness (2 points), and four injury duce the incidence of the most common injuries causes (guns/explosives, tools/machinery, twists/turns, among airborne personnel, ankle sprains and frac- nontraffıcvehicleincidents)receivedthelowestmedian tures,by50%–80%.34–36Thiscombinationoffactorsled scoreforevaluationpotential(3points). tohighpreventabilityandtimelinessscoresfor“military parachuting.”Ankleinjuryriskhasbeenshowntobe1.6 to2.9timeshigheramongparatrooperswhodidnotwear Discussion ananklebracecomparedtothosewhodidwearabrace.37 Thispaperdescribesaprocessthatproducedaprioritized These evaluations also demonstrate that it is feasible to list of injury causes that can be used to inform and guide implementandtoevaluatetheeffectsofthisintervention publichealthpractitionersandpolicymakerswhoneedto inmilitarypopulations,contributingtohighercriterion prioritize health problems that are competing for limited scoresintheseareas.Thehighpreventability,feasibility, programresources.Theresultsindicatedthatthetopthree timeliness, and evaluation scores in the prioritization injury causes most likely to have successful program and processresultedinahighrankingforthisinjuryissue. policyinterventionsintheDoDwerephysicaltraining,mil- Privately-owned vehicle crashes, which received the itaryparachuting,andprivately-ownedvehiclecrashes. third-highestrankintheprioritizationprocess,havehis- Theemergenceofphysicaltrainingasthetoppriorityfor toricallybeenaleadingcauseofmortalityandmorbidity programandpolicyinterventionisnotsurprising.Investi- among military service members.38,39 Each year, “land gationsofU.S.Armyactivedutypopulationshaveshown transport” is noted as a leading cause of DoD injury physicaltraining–relatedinjuriestobetheleadingcauseof hospitalizations, representing 9.1%–18.7% of all injury injuries, accounting for 25%–50% of all injury vis- hospitalizations (2000–2006) with a valid injury cause its.15,17,26–29AmongMarineCorpsrecruits,higherfrequen- code.20–23,40–42Safetydatahavealsoindicatedthat59%, ciesofvigorousphysicaltraininghavebeencorrelatedwith 64%,61%,and55%ofunintentionalinjurydeathsforthe higher musculoskeletal injury rates.25 Among the other U.S.Army,Navy,MarineCorps,andAirForce,respec- Services, surveillance of training-related, lower ex- tively, were due specifıcally to privately-owned vehicle tremityoveruseinjurieshasindicatedthatsuchinjuries, crashes.43 Based on these and other statistics, privately- which are largely training-related,24,25 account for ap- ownedvehiclecrashesscoredhighonimportanceofthe proximately50%oftheService-specifıctotalinjurybur- problem.Theavailabilityofrecentsystematicreviewsof dens.14 These numbers suggest that the frequency and prevention strategies such as graduated licensing, de- incidence of the problem is large. Given that all Service creasing alcohol-impaired driving, and increasing seat membersmustalsomaintainspecifıedlevelsofphysical beltuse44–46contributedtoitshighpreventabilityscore. fıtness,thesizeofthepopulationpotentiallyaffectedby Highscoresonbothofthesemeasures—importanceand physical training–related injuries is also large. Prevent- preventability—ultimatelycontributedtothehighrank- abilityofphysicaltraining–relatedinjurieswasratedhigh ingoftheprivately-ownedvehiclecrashesintheprioriti- because there are proven prevention strategies (e.g., zationprocess. avoiding overtraining, conducting agility-like training, Ofnote,fallsdidnotrankasoneofthetopthreeinjury use of mouthguards)30 that could be adopted immedi- programandpolicypriorities,despiteannualdocumenta- ately to reduce physical training–related injuries. In the tion showing falls to be the leading cause of active duty UnitedStates(U.S.)Armyastandardizedphysicaltrain- militaryinjuryhospitalizations,accountingfornearlyone ingprogramthatavoidsovertrainingandutilizesagility- fıfthofallinjuryhospitalizationseachyear.20–23,40–42The liketraininghasbeenfoundtoreducephysicaltraining– lower ranking of falls as a prevention priority is partially related injuries while meeting desired physical fıtness explainedbythedearthofdescriptiveandanalyticepidemi- goals.31,32 Given that the ability to evaluate such pro- ologyidentifyingmodifıablecausesandriskfactorsoffallsin gramshasbeenpreviouslydemonstrated,31,32theevalu- military and other working-age populations. As a conse- ation potential for physical training received the maxi- quence, there are also few evaluated interventions in the mumscore(5). literature for the prevention of falls in military and other Military parachuting injuries, ranked second in this working-agepopulations.47 process, can be severe and numerous;33 however, they Theprioritizationprocessdescribedhadanumberof affectarelativelysmallsubsetofthemilitaryandpredom- strengths. First, it attempted to minimize bias through inantlyoneService(Army)only.Asaresult,thisinjury use of quantifıable, objective measures. Objectivity was January2010 S16 Canham-Chervaketal/AmJPrevMed2010;38(1S):S11–S18 builtintotheprocessbyrequiringthereviewofavailable such as described by Bullock et al.,30 could assist with epidemiologicdatatoratetheimportanceoftheproblem strikingthisbalance. andbytheuseofaworksheet,whichforcedconsideration Alimitationoftheresultsofthisprocessisitsbasison ofallpredeterminedcriteriaandenhancedthevisibility causesofinjuryhospitalizations.Atthetimethispriori- ofworkinggroupmembers’preliminaryratingsandfınal tization process was conducted, outpatient injury cause scores. Second, as has been recommended,48 the data coding was inconsistent and incomplete. The ability to reviewed were not limited to mortality data. Rather, quantify outpatient causes of injuries would alter the working group members also reviewed and formulated informationavailableforrankingtheimportanceofthe theirratingbasedondataonthemorenumerousnonfatal problem(CriteriaB).Improvementsinoutpatientinjury injuriesandtheircauses.Third,thecriteriaweresimilar causecodingwouldwarrantrepetitionofthisprocess,as tothosesuggestedorusedelsewhere,8,9,49–51andensured prioritizationresultsmaydifferwiththeadditionofthis considerationofkeyfactorsfelttoinfluencethesuccessor information. Additionally, repetition of this process is failureofprogramandpolicyefforts.Finally,thescoring recommended every 5–10 years, to account for other system and analysis provided a simple and straightfor- changesovertime,suchasadditionstothemedicaland ward mechanism to weight and score those key factors. publichealthliterature. Thesecriteriaandweightscouldbeeasilymodifıedtosuit Insummary,thisprocesswasdesignedtoproducealist thespecifıcneedsandconsiderationsofothercommuni- ofinjurypreventionprioritiesthroughasystematicand ties.Whileaquantitativeprocessmaynotbeabsolutely objectiveratingofthedegreetowhichtheleadingcauses necessary,9 it was felt that the commitment to a weight of DoD injuries were amenable to program and policy andscoreforcedparticipantstoconsidereachfactordur- implementation. Its use is not limited to the military, ingtheprocess.Inaddition,whileanalternativeanalysis however.Inbothmilitaryandcivilianpublichealthorga- method52wasconsidered,itwasultimatelynotreported, nizations, establishing data-driven prevention program giventhedesireforamethodologythatwaseasytoun- and policy priorities can provide a focus for work and derstand and apply in public health practice, and that continuedprogresstowardinjuryreductiongoalswhen there was no difference in the results obtained by this not responding to urgent public health concerns. The alternative,morecomplexmethod. process also should not be limited to use in the injury These criteria, worksheet, and process could also in- prevention fıeld; the criteria and worksheet could be formfutureenhancementsofexistingprocessestoprior- adapted and applied to prioritize implementation of itize prevention research.5,53,54 Criteria to prioritize re- otherpublichealthprogramsandpolicies.Suchsystem- searchshouldincludesimilarconsiderations,suchasthe atic approaches to prioritizing scarce public health re- magnitudeandseverityoftheproblemandadequacyof sources are necessary, as Dr. William Haddon, Jr. ex- resources,butshouldalsoconsidertheexistenceofgaps pressed, in order to avoid “inappropriate choices of in knowledge (i.e., the absence of “proven” prevention emphasis”that“dissipatefunds,time,andpublicconcern strategies) and availability of research partners.2 Estab- thatmightbeappliedtomoreeffectivemeasures.”58 lishmentofapublichealthresearchagenda(i.e.,research priorities)thatconsiderpublichealthprogramandpolicy Theauthorsgratefullyacknowledgetheparticipationof needsisneededtoimprovetheeffectivenessofourpublic CAPT (Dr.) Ken Schor and Dr. Richard Thomas, who healthsystem.55 contributedtheirtimeandexpertknowledgetothepri- Opportunities for improvements to the process in- oritizationprocess,andstatisticalconsultationprovided clude involving the raters earlier in the process, so that byMs.RobynLee. theyhaveinputintothefınalcriteriaandmethodsused. The views expressed herein are the views of the au- Inaddition,preventivemedicineandpublichealth,like thor(s)anddonotreflecttheoffıcialpolicyoftheDepart- clinical medicine, have become increasingly focused on mentoftheArmy,theDepartmentoftheNavy,theDoD, the importance of identifying evidence-based practices ortheU.S.Government. prior to implementation.56,57 The rigor of the process Nofınancialdisclosureswerereportedbytheauthors couldbefurtherenhancedbyrequiringdenovosystem- ofthispaper. atic reviews of the literature on program effectiveness ratherthanrelyingonexpertopiniontodefıneprevent- ability, feasibility, timeliness, and evaluation potential. References However, systematic reviews are time-consuming and notalwaysfeasibleinpublichealthpractice.9Thedesire 1. IOMCommitteefortheStudyoftheFutureofPublicHealth. forevidence-baseddecisionsmustbebalancedwiththe Thefutureofpublichealth.Washington:NationalAcademy need for a timely response. 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