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Non-adaptive Data Structure Lower Bounds for Predecessor Search
Banff International Research Station for Mathematical Innovation and Discovery
Brody, Joshua — Unreviewed Non UBC In this work, we continue the examination of the role non-adaptivity plays in maintaining dynamic data structures, initiated by Brody and Larsen [BL15]}. We consider non-adaptive data structures for predecessor search in the w-bit cell probe model. Predecessor search is one of the most well-studied data structure problems. For this problem, using non-adaptivity comes at a steep price. We provide exponential cell probe complexity separations between (i) adaptive and non-adaptive data structures and (ii) non-adaptive and memoryless data structures for predecessor search. A classic adaptive data structure of van Emde Boas solves dynamic predecessor search in $O(\log \log m)$ probes. For dynamic data structures which make non-adaptive updates, we show the cell probe complexity is $O(min{ (log m)/(log(w/log m)$, $(n log m)/w) })$. We also give a nearly-matching $\Omega( min {(log m)/(log w)$, $(nlog m)/(w log w) })$ lower bound. We also give an $\Omega(m)$ lower bound for memoryless data structures. Our lower bound technique is tailored to non-adaptive (as opposed to memoryless) updates and might be of independent interest. Joint work with Joe Boninger and Owen Kephart. Faculty Author affiliation: Swarthmore College http://creativecommons.org/licenses/by-nc-nd/4.0/
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Search strategy for self-harm interventions (adapted Cochrane review search)
Boruff, Jill — 2022-03-21 The notes field contains the full MEDLINE/PsycInfo (Ovid) multifile search strategy for self-harm and suicide interventions. The file in this dataset contains the full MEDLINE/PsycInfo (Ovid), Embase (Ovid), CINAHL (EBSCO), Cochrane, LILACS and PSYNDEX search strategies for self-harm and suicide interventions with details on how it was adapated from the original Cochrane review. Search date: September 1, 2021 1 Automutilation/ or Self injurious Behavior/ or Self destructive Behavior/ or Self mutilation/ or Self inflicted Wounds/ 18417 2 Suicidal Behavior/ or Suicide/ or Suicidal Ideation/ or Attempted Suicide/ or Suicide, Attempted/ or Self Poisoning/ or Suicide Prevention/ or Suicide Prevention Centers/ or Suicidology/ 91035 3 (suicid* or parasuicid* or auto mutilat* or automutilat* or self destruct* or selfdestruct* or self harm* or selfharm* or self immolat* or selfimmolat* or self inflict* or selfinflict* or self injur* or selfinjur* or selfmutilat* or self mutilat* or self poison* or selfpoison* or (self adj2 (cut or cuts or cutting or cutter? or burn or burns or burning or bite or bites or biting or hit or hits or hitting)) or head bang* or headbang*).ti,ab,kf,kw,id. 152839 4 (NSSI? or ((nonsuicid* or non suicid*) adj2 (self* or injur*))).ti,ab,kf,kw,id. 4132 5 (Overdose/ or Drug Overdose/ or Drug Overdoses/) and prevent*.af. 4147 6 ((nonfatal or non fatal) adj2 (overdose? or over dose?)).mp. 700 7 or/1-6 172709 8 Randomized Controlled Trial/ 542933 9 Randomized Controlled Trial.pt. 542176 10 Randomization/ 105808 11 Random Allocation/ 105808 12 Controlled Clinical Trial/ 94361 13 Controlled Clinical Trial.pt. 94361 14 Double blind Method/ or Single blind Method/ 196567 15 (randomi#ed or randomi#ation or randomi#ing).ti,ab,kf,kw,id. 792740 16 (RCT or "at random" or (random* adj3 (administ* or allocat* or assign* or class* or cluster or crossover or cross over or control* or determine* or divide* or division or distribut* or expose* or fashion or number* or place* or pragmatic or quasi or recruit* or split or subsitut* or treat*))).ti,ab,kf,kw,id. 718536 17 trial.ti. 275543 18 placebo/ or (placebo and (allocat* or assign* or control* or group*)).ti,ab,kf,kw,id. 207637 19 (control* adj3 group*).ab. 658990 20 (control* and (trial or study or group*) and (waitlist* or wait* list* or ((treatment or care) adj2 usual))).ti,ab,kf,kw,id. 35158 21 ((single or double or triple or treble) adj2 (blind* or mask* or dummy)).ti,ab,kf,kw,id. 203176 22 treatment effectiveness evaluation/ 20710 23 8 or 9 or 10 or 11 or 12 or 13 or 14 or 15 or 16 or 17 or 18 or 19 or 20 or 21 or 22 1909223 24 7 and 23 10148 25 (202007* or 202008* or 202009* or 202010* or 202011* or 202012* or 2021*).yr,dc,dp,dt,ep,ez. 1995913 26 24 and 25 759 27 remove duplicates from 26 652
UBC cIRcle BIRS Workshop Lecture Videos Logo
Lower bounds on non-adaptive data structures for median and predecessor search
Banff International Research Station for Mathematical Innovation and Discovery
Natarajan Ramamoorthy, Sivaramakrishnan — Author affiliation: University of Washington Graduate We initiate the study of lower bounds for the median problem in the cell probe model. The algorithmic task is to maintain a subset of {1,2,....,m}, support insertion of elements and find the median of the set. Let $t_u,t_q,w$ denote the update time, the query time and the cell size of a data structure. We show that any data structure for the median problem must have $t_q \geq \Omega(m^(1/2(t_u+2))/(wt_u))$, when the updates are non-adaptive. An update is termed non-adaptive when locations of the cells accessed by the update algorithm is completely determined by the update value. For the predecessor search problem, we show that either $t_q \geq \Omega(\log m/(\log \log m + \log w))$ or $t_u \geq \Omega(m^(1/4(t_q+1)))$, when the queries are non-adaptive. This is joint work with Anup Rao. Non UBC Unreviewed http://creativecommons.org/licenses/by-nc-nd/4.0/
Wilfrid Laurier University Dataverse Logo
Data for: #MeToo as an ‘angry mob’ or in search of meaning?
Rathlin, Jay; Foster, Mindi — 2022-02-09 These data include "#MeToo" tweets collected at four timepoints between 2017 and 2020, each associated with peak usage of the tweet:<ul> <li> October 15, 2017 (the first tweet in which Alyssa Milano tweeted #MeToo after Harvey Weinstein was accused of sexual assault);</li> <li> Sept 27, 2018, (Dr. Christine Blasey Ford testified against Brett Kavanaugh at the U.S. Senate Judiciary hearings);</li> <li>October 6, 2018 (when Brett Kavanaugh was confirmed to the U.S. Supreme Court);</li> <li>February 24,2020 (when Harvey Weinstein was convicted)</li></ul> The tweets were then analysed using Linguistic Inquiry Word Count, a text analysis program that calculates the percentage of the total number of words for particular word categories.<p><p> These data support the article, "#MeToo as an ‘angry mob’ or in search of meaning? Using language to assess the focus of #MeToo tweets across four events" in <i>Computers in Human Behavior Reports</i> (2022) (<a href="https://doi.org/10.1016/j.chbr.2022.100173">https://doi.org/10.1016/j.chbr.2022.100173</a>).
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Search strategy replication data for Diagnostic Accuracy of Acoustic Biomarkers in Respiratory Diseases Restricted content
Boruff, Jill — 2022-09-21 The notes field contains the full MEDLINE (Ovid) search strategy for diagnostic accuracy, acoustic biomarkers, lower respiratory infections. The search file in this dataset contains the full MEDLINE (Ovid), EMBASE (Ovid), CINAHL (EBSCO), and Cochrane Library (Wiley) search strategies for diagnostic accuracy, acoustic biomarkers, lower respiratory infections. Search date: (2022-08-22) Ovid MEDLINE(R) ALL <1946 to August 19, 2022> 1 asthma*.ti,ab,kf. or exp asthma/ 195117 2 exp Pulmonary Disease, Chronic Obstructive/ 64240 3 (chronic obstructive pulmonary disease* or copd).ti,ab,kf. 75590 4 1 or 2 or 3 277073 5 (respiratory tract infection* or bronchitis or Bronchiolitis or common cold or pleural empyema or influenza or laryngitis or legionellosis or lung abscess* or fungal lung disease* or parasitic lung disease* or pharyngitis or pleurisy or pneumonia or severe acute respiratory syndrome or supraglottitis or tracheitis or tuberculosis or whooping cough).tw,kf. 573975 6 respiratory tract infections/ or exp bovine respiratory disease complex/ or exp bronchitis/ or common cold/ or exp empyema, pleural/ or influenza, human/ or laryngitis/ or exp legionellosis/ or lung abscess/ or exp lung diseases, fungal/ or exp lung diseases, parasitic/ or exp pharyngitis/ or exp pleurisy/ or exp pneumonia/ or severe acute respiratory syndrome/ or exp supraglottitis/ or tracheitis/ or tuberculosis, laryngeal/ or exp tuberculosis, pleural/ or exp tuberculosis, pulmonary/ or whooping cough/ or Tuberculosis/ 620117 7 ((respirat* or airway* or lung* or pulmonar*) adj2 (disease* or condition* or disorder* or infection*)).tw,kf. 284837 8 5 or 6 or 7 1054496 9 exp coronavirus/ or exp coronavirus infections/ or ((coronavirus* or corona virus* or betacoronavirus* or beta coronavirus* or severe acute respiratory syndrome coronavirus 2 or "SARS CoV-2" or "SARSCoV 2" or SARSCoV2 or cov2 or "sars 2" or COVID or "coronavirus 2" or covid19 or nCov or ((new or Novel) adj3 coronavirus*) or ncp).mp. or ((exp pneumonia/ or pneumonia.mp.) and wuhan.af.)) 310538 10 exp Sleep Apnea Syndromes/ or sleep apnea.tw,kf. or sleep apnoea.tw,kf. or (sleep hypopnea or sleep hypopnoea or Sleep-Disordered Breathing or upper airway resistance syndrome).tw,kf. 54884 11 4 or 8 or 9 or 10 1377276 12 (exp respiratory sounds/ or cough/) and (Biomarkers/ or (biomarker* or sound* or record* or audio* or acoustic* or analys* or record*).tw,kf.) 8189 13 ((voice* or vocal* or breath* or cough* or respirat* or sound* or acoustic* or audio* or speech) adj3 biomarker*).mp. 900 14 ((breath* or cough* or respirat* or wheez* or crackle* or rale* or rhonchi* or stridor* or stertor* or snor*) adj3 (sound* or record* or audio* or acoustic* or analys* or record* or detection or recognition or auscultation)).mp. 25241 15 speech acoustics/ or speech acoustics.tw,kf. or sound spectography/ 8287 16 Voice Recognition/ 31 17 Speech Production Measurement/ 6935 18 12 or 13 or 14 or 15 or 16 or 17 42928 19 exp "Sensitivity and Specificity"/ or sensitivity.tw. or specificity.tw. or ((pre-test or pretest) adj probability).tw. or post-test probability.tw. or predictive value$.tw. or likelihood ratio$.tw. or Stratification.tw. or ROC Curve/ or Discrimination.tw. or Discriminate.tw. or c-statistic.tw. or Area under the curve.tw. or AUC.tw. or Calibration.tw. or Indices.tw. or Algorithm.tw. or Multivariable.tw. or area under curve/ or sensitiv:.mp. or predictive value:.mp. or accurac:.tw. or (classification or performance or classifier* or predict* or Statistical analys*).tw,kf. 5853248 20 11 and 18 and 19 4940
Western University Dataverse Logo
Replication Data for: Immigration Statistics in the Sessional Papers 1869 - 1882
McCaffrey, Michael — 2020-12-07 Copy of Spreadsheet guide to Immigration statistics found in the Sessional Papers of the Canadian Parliament, 1869-1882. with URLs to Internet Archive, Canadiana.org and other digital copies prepared by: Engstrom, Aurelia; Langrell, Kate; Schmidt,Katherine; Stankovic, Jelena; Szczesniak,Lucy; Tiong, Maggie and added to this study.[original prepared by INF2115 students at the University of Toronto: hdl:10864/10535]
McGill University Dataverse Logo
Search strategy for subclinical hypothyroidism AND pregnancy
Frati, Francesca — 2022-07-29 The notes field contains the full Ovid MEDLINE search strategy for subclinical hypothyroidism AND pregnancy. The file in this dataset contains the final full Ovid MEDLINE, Ovid Embase, Ovid PsycInfo, Pubmed and EBSCO CINAHL search strategies for subclinical hypothyroidism AND pregnancy. Unfortunately the Cochrane Library search is not included as it was lost due to technical difficulties with the database. The searches were conducted on August 14, 2017 and updated on July 18 2018 1. exp Hypothyroidism/ 2. Thyroid Diseases/ 3. Thyrotropin/ 4. Thyroid Gland/ 5. Thyroxine/ 6. Triiodothyronine/ 7. hypo?thyr*.tw,kf. 8. ((thyroid* or thyroxin* or tri?odothyronin* or TSH or T4 or T3) adj3 (deficien* or insufficien* or disfunction*)).tw,kf. 9. myx?edema*.tw,kf. 10. 1 or 2 or 3 or 4 or 5 or 6 or 7 or 8 or 9 11. (mild* or compens* or sub?clinic* or moderat* or short-term or low or antibody negative or asymptomatic).tw,kf. 12. ((without or no$1) adj1 (symptom* or manifest*)).tw,kf. 13. 11 or 12 14. 10 and 13 15. Pregnancy/ 16. Pregnancy in Adolescence/ 17. pregnan*.tw,kf. 18. 15 or 16 or 17 19. 14 and 18 20. exp Animals/ 21. humans.sh. 22. 20 not 21 23. 19 not 22
UBC cIRcle BIRS Workshop Lecture Videos Logo
Beating brute force search for QBF satisfiability
Banff International Research Station for Mathematical Innovation and Discovery
Santhanam, Rahul — Faculty Author affiliation: University of Edinburgh Unreviewed Non UBC http://creativecommons.org/licenses/by-nc-nd/2.5/ca/
Other Borealis Collections Logo
Replication Code for: Search Less for a Better Price
Bilen, Eren; Deniz Dizdar; Chun-Hui Miao — 2022-11-04 The programs replicate Figure A1 from "Search Less for a Better Price", by Bilen, Dizdar, and Miao. Please see the ReadMe file for additional details.
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Search strategy for Digital Mental Health in LMICs
Boruff, Jill — 2022-05-26 The notes field contains the full MEDLINE (Ovid) search strategy for mental health or mental illness, digital health including telehealth, mobile apps, wearables, videoconferencing The file in this dataset contains the full MEDLINE (Ovid), EMBASE (Ovid), PsycInfo (Ovid), CINAHL (EBSCO), and Cochrane Trials search strategies conducted on May 26, 2022 Ovid MEDLINE(R) ALL <1946 to May 25, 2022> 1 exp mental disorders/ or exp mental health services/ 1435337 2 (Mental* ill-health or mental health or mental disorder* or mental illness* or depressive or depression or anxiety or anxious or low mood or suicid* or self-harm* or self-injurious or suicid* or alcoholism* or alcoholic* or binge drinking or problem drinking or "substance use" or substance abuse or "drug use" or drug abuse or "cannabis use" or "marijuana use" or opioid* or amphetamine* or sedative* or tranquilizer* or cocaine* or hallucinogen* or heroin* or hypnotic* or psychedelic* or phencyclidine or narcotic* or illicit drug* or personality disorder* or mood disorder* or schizophrenia or schizophrenic or psychotic or psychosis).tw,kf. 1319899 3 (alcohol* adj3 (drink* or use* or abus* or misus* or risk* or consum* or abuse* or addict* or dependen* or disorder* or abstinen* or withdraw* or detox* or treat* or therap* or excess* or reduc* or cessation or intervention*)).tw,kf. 166480 4 (drink* adj3 (excess or heavy or heavily or harmful or problem* or binge)).tw,kf. 21352 5 or/1-4 2240206 6 Remote Consultation/ or exp Telemedicine/ or Distance Counseling/ 40531 7 ((comput* or distance or internet or phone or online or remote or tele* or video or virtual or web) adj2 (administ* or advice or assess* or care or chat* or confer* or consult* or counsel* or deliver* or health* or interv* or manag* or medic* or monit* or nurs* or practice or pharm* or therap* or treatment* or visit*)).ti,ab,kf. 135443 8 (teleadminist* or teleadvice or teleassess* or telecare or telechat* or teleconf* or teleconsult* or telecounsel* or teledeliv* or telehealth* or teleinterv* or telemanag* or telemedic* or telemonit* or telepractice or teletreatment* or televisit* or teletherap* or videochat* or videotelephon* or videoconferenc*).ti,ab,kf. 35743 9 (eConsult* or e-consult* or ecounsel* or e-counsel* or eHealth* or e-Health* or einterv* or e-interv* or etherap* or e-therap* or mHealth* or m-Health* or mobile health* or mobile mental health*).ti,ab,kf. 21873 10 Telemed*.jw. 6628 11 ((comput* or distance or electronic or internet or phone or online or remote or tele* or video or virtual or web) adj2 (psych* or rehab* or education)).ti,ab,kf. 12778 12 (telepsych* or telerehab*).ti,ab,kf. 2588 13 (App or apps or facetime* or helpline* or store-and-forward* or store-forward* or skype* or video* or zoom or webbased tool or web-based tool* or voice-over or voiceover or VoIP).ti,ab,kf. 195734 14 or/6-13 359717 15 exp Videoconferencing/ 2635 16 Internet-Based Intervention/ 944 17 Patient Portals/ 656 18 or/14-17 360928 19 Mobile Applications/ 10055 20 exp Computers, Handheld/ 11631 21 exp Cell Phone/ 20370 22 "Cell Phone Use"/ 341 23 Medical Informatics Applications/ 2550 24 Therapy Computer-Assisted/ 6960 25 Wireless Technology/is, og, td 1463 26 (app or apps or iphone* or i-phone* or android or cellphone* or cell-phone* or ipad* or i-pad*).ti,ab,kf. 45836 27 ((smart or mobile or apple) adj (phone* or watch* or tablet*)).ti,ab,kf. 13932 28 (ios adj1 (phone* or watch* or app* or smartphone*)).ti,ab,kf. 251 29 (mobile* adj3 (application* or intervention* or device* or technolog*)).ti,ab,kf. 17145 30 ((online or on-line or health* or messaging or tablet*) adj2 application*).ti,ab,kf. 8196 31 (mhealth* or m-health* or ehealth* or e-health* or mobile health).ti,ab,kf,jw. 22923 32 ((mobile or handheld) adj1 (device* or phone* or tablet*)).ti,ab,kf. 17025 33 Wearable Electronic Devices/ or Fitness Trackers/ 7068 34 Virtual care.tw,kf. 764 35 (activity tracker* or Wearable* or self-track* or self-monitor* or fitness tracker*).tw,kf. 30867 36 or/19-35 135687 37 18 or 36 429338 38 (afghanistan or albania or algeria or american samoa or angola or "antigua and barbuda" or antigua or barbuda or argentina or armenia or armenian or aruba or azerbaijan or bahrain or bangladesh or barbados or republic of belarus or belarus or byelarus or belorussia or byelorussian or belize or british honduras or benin or dahomey or bhutan or bolivia or "bosnia and herzegovina" or bosnia or herzegovina or botswana or bechuanaland or brazil or brasil or bulgaria or burkina faso or burkina fasso or upper volta or burundi or urundi or cabo verde or cape verde or cambodia or kampuchea or khmer republic or cameroon or cameron or cameroun or central african republic or ubangi shari or chad or chile or china or colombia or comoros or comoro islands or iles comores or mayotte or democratic republic of the congo or democratic republic congo or congo or zaire or costa rica or "cote d’ivoire" or "cote d’ ivoire" or cote divoire or cote d ivoire or ivory coast or croatia or cuba or cyprus or czech republic or czechoslovakia or djibouti or french somaliland or dominica or dominican republic or ecuador or egypt or united arab republic or el salvador or equatorial guinea or spanish guinea or eritrea or estonia or eswatini or swaziland or ethiopia or fiji or gabon or gabonese republic or gambia or "georgia (republic)" or georgian or ghana or gold coast or gibraltar or greece or grenada or guam or guatemala or guinea or guinea bissau or guyana or british guiana or haiti or hispaniola or honduras or hungary or india or indonesia or timor or iran or iraq or isle of man or jamaica or jordan or kazakhstan or kazakh or kenya or "democratic people’s republic of korea" or republic of korea or north korea or south korea or korea or kosovo or kyrgyzstan or kirghizia or kirgizstan or kyrgyz republic or kirghiz or laos or lao pdr or "lao people's democratic republic" or latvia or lebanon or lebanese republic or lesotho or basutoland or liberia or libya or libyan arab jamahiriya or lithuania or macau or macao or republic of north macedonia or macedonia or madagascar or malagasy republic or malawi or nyasaland or malaysia or malay federation or malaya federation or maldives or indian ocean islands or indian ocean or mali or malta or micronesia or federated states of micronesia or kiribati or marshall islands or nauru or northern mariana islands or palau or tuvalu or mauritania or mauritius or mexico or moldova or moldovian or mongolia or montenegro or morocco or ifni or mozambique or portuguese east africa or myanmar or burma or namibia or nepal or netherlands antilles or nicaragua or niger or nigeria or oman or muscat or pakistan or panama or papua new guinea or new guinea or paraguay or peru or philippines or philipines or phillipines or phillippines or poland or "polish people's republic" or portugal or portuguese republic or puerto rico or romania or russia or russian federation or ussr or soviet union or union of soviet socialist republics or rwanda or ruanda or samoa or pacific islands or polynesia or samoan islands or navigator island or navigator islands or "sao tome and principe" or saudi arabia or senegal or serbia or seychelles or sierra leone or slovakia or slovak republic or slovenia or melanesia or solomon island or solomon islands or norfolk island or norfolk islands or somalia or south africa or south sudan or sri lanka or ceylon or "saint kitts and nevis" or "st. kitts and nevis" or saint lucia or "st. lucia" or "saint vincent and the grenadines" or saint vincent or "st. vincent" or grenadines or sudan or suriname or surinam or dutch guiana or netherlands guiana or syria or syrian arab republic or tajikistan or tadjikistan or tadzhikistan or tadzhik or tanzania or tanganyika or thailand or siam or timor leste or east timor or togo or togolese republic or tonga or "trinidad and tobago" or trinidad or tobago or tunisia or turkey or turkmenistan or turkmen or uganda or ukraine or uruguay or uzbekistan or uzbek or vanuatu or new hebrides or venezuela or vietnam or viet nam or middle east or west bank or gaza or palestine or yemen or yugoslavia or zambia or zimbabwe or northern rhodesia or global south or africa south of the sahara or sub-saharan africa or subsaharan africa or africa, central or central africa or africa, northern or north africa or northern africa or magreb or maghrib or sahara or africa, southern or southern africa or africa, eastern or east africa or eastern africa or africa, western or west africa or western africa or west indies or indian ocean islands or caribbean or central america or latin america or "south and central america" or south america or asia, central or central asia or asia, northern or north asia or northern asia or asia, southeastern or southeastern asia or south eastern asia or southeast asia or south east asia or asia, western or western asia or europe, eastern or east europe or eastern europe or developing country or developing countries or developing nation? or developing population? or developing world or less developed countr* or less developed nation? or less developed population? or less developed world or lesser developed countr* or lesser developed nation? or lesser developed population? or lesser developed world or under developed countr* or under developed nation? or under developed population? or under developed world or underdeveloped countr* or underdeveloped nation? or underdeveloped population? or underdeveloped world or middle income countr* or middle income nation? or middle income population? or low income countr* or low income nation? or low income population? or lower income countr* or lower income nation? or lower income population? or underserved countr* or underserved nation? or underserved population? or underserved world or under served countr* or under served nation? or under served population? or under served world or deprived countr* or deprived nation? or deprived population? or deprived world or poor countr* or poor nation? or poor population? or poor world or poorer countr* or poorer nation? or poorer population? or poorer world or developing econom* or less developed econom* or lesser developed econom* or under developed econom* or underdeveloped econom* or middle income econom* or low income econom* or lower income econom* or low gdp or low gnp or low gross domestic or low gross national or lower gdp or lower gnp or lower gross domestic or lower gross national or lmic or lmics or third world or lami countr* or transitional countr* or emerging economies or emerging nation?).ti,ab,sh,kf. 2219533 39 (Georgia or Turkmenistan or Palestine or Libya or Congo or Myanmar or Mongolia or Egypt or Tunisia or Angola or Brazil or Lebanon or "Bosnia and Herzegovina" or Yemen or Indonesia or Azerbaijan or Uruguay).tw,kf,sh. 261044 40 38 or 39 2234760 41 5 and 37 and 40 4691 42 limit 41 to yr="2000 -Current" 4538
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Search strategy for Practice Context in Health Professions Restricted content
Boruff, Jill; Ataman, Rebecca — 2022-06-15 The notes field contains the full MEDLINE (Ovid) search strategy for practice context in health professions. The file in this dataset contains the full MEDLINE (Ovid), EMBASE (Ovid), and CINAHL (EBSCO) search strategies for workplace or organizational context or competencies in health professions. Search date: December 10, 2019 1 organizational culture/ (16986) 2 health facility environment/ (4276) 3 (Context* or contextual).tw,kf. (452917) 4 ((organi?ation* or workplace or work or practice) adj2 (factor* or characteristics or culture* or climate* or environment* or determinant*)).tw,kf. (35255) 5 1 or 2 or 3 or 4 (501178) 6 Health Services Research/ (36097) 7 "Attitude of Health Personnel"/ (118376) 8 Health Personnel/ (39448) 9 Institutional Practice/ (1232) 10 ((health or health care or healthcare or practice or clinical) adj2 (provider* or organization* or service* or system* or setting* or personnel or professional* or model* or practitioner*)).tw,kf. (594023) 11 (((conceptual or organi?ation* or nursing or evaluation) adj2 (model* or framework* or approach*)) or concept analysis).tw,kf. (42330) 12 organizational models/ or theoretical models/ or psychological models/ or nursing models/ (220099) 13 6 or 7 or 8 or 9 or 10 or 11 or 12 (961157) 14 employee performance appraisal/ or work performance/ (5296) 15 ((employee or clinician or work or workplace or job or clinical or practice) adj3 (performance or competenc* or abilit*)).tw,kf. (36693) 16 (core competenc* or key competenc* or enabling competenc* or intrinsic role*).tw,kf. (3263) 17 (incompetence or malpractice).tw,kf. (17709) 18 exp Professional Competence/ (113397) 19 exp health knowledge, attitudes, practice/ (106738) 20 (employee or clinician or work or workplace or job or clinical or practice).tw,kf. (4644364) 21 exp Malpractice/ (31379) 22 18 and 20 (50746) 23 14 or 15 or 16 or 17 or 19 or 21 or 22 (230420) 24 5 and 13 and 23 (7334)

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