{"id":"https://openalex.org/W2769696264","doi":"https://doi.org/10.1109/afrcon.2017.8095535","title":"A predictive model for optimizing acceptance and use of mHealth interventions in low-resource settings: A case of Mamacare prototype","display_name":"A predictive model for optimizing acceptance and use of mHealth interventions in low-resource settings: A case of Mamacare prototype","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2769696264","doi":"https://doi.org/10.1109/afrcon.2017.8095535","mag":"2769696264"},"language":"en","primary_location":{"id":"doi:10.1109/afrcon.2017.8095535","is_oa":false,"landing_page_url":"https://doi.org/10.1109/afrcon.2017.8095535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE AFRICON","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021214820","display_name":"Stephen Mburu","orcid":"https://orcid.org/0000-0002-7500-9312"},"institutions":[{"id":"https://openalex.org/I12859529","display_name":"University of Nairobi","ror":"https://ror.org/02y9nww90","country_code":"KE","type":"education","lineage":["https://openalex.org/I12859529"]}],"countries":["KE"],"is_corresponding":true,"raw_author_name":"Stephen Mburu","raw_affiliation_strings":["School of Computing and Informatics, University of Nairobi, Nairobi, Kenya"],"affiliations":[{"raw_affiliation_string":"School of Computing and Informatics, University of Nairobi, Nairobi, Kenya","institution_ids":["https://openalex.org/I12859529"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5021214820"],"corresponding_institution_ids":["https://openalex.org/I12859529"],"apc_list":null,"apc_paid":null,"fwci":0.4768,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.77319527,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"50","issue":null,"first_page":"518","last_page":"523"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11446","display_name":"Mobile Health and mHealth Applications","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11446","display_name":"Mobile Health and mHealth Applications","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10068","display_name":"Technology Adoption and User Behaviour","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13194","display_name":"ICT in Developing Communities","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mhealth","display_name":"mHealth","score":0.8533275723457336},{"id":"https://openalex.org/keywords/psychological-intervention","display_name":"Psychological intervention","score":0.5960814356803894},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4955967664718628},{"id":"https://openalex.org/keywords/predictive-power","display_name":"Predictive power","score":0.46817559003829956},{"id":"https://openalex.org/keywords/structural-equation-modeling","display_name":"Structural equation modeling","score":0.44902125000953674},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4475937485694885},{"id":"https://openalex.org/keywords/operationalization","display_name":"Operationalization","score":0.44225773215293884},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.3584475517272949},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.329950213432312},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2943752110004425},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15175718069076538},{"id":"https://openalex.org/keywords/nursing","display_name":"Nursing","score":0.13862240314483643}],"concepts":[{"id":"https://openalex.org/C2779363104","wikidata":"https://www.wikidata.org/wiki/Q17069079","display_name":"mHealth","level":3,"score":0.8533275723457336},{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.5960814356803894},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4955967664718628},{"id":"https://openalex.org/C2778136018","wikidata":"https://www.wikidata.org/wiki/Q10350689","display_name":"Predictive power","level":2,"score":0.46817559003829956},{"id":"https://openalex.org/C71104824","wikidata":"https://www.wikidata.org/wiki/Q1476639","display_name":"Structural equation modeling","level":2,"score":0.44902125000953674},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4475937485694885},{"id":"https://openalex.org/C9354725","wikidata":"https://www.wikidata.org/wiki/Q286017","display_name":"Operationalization","level":2,"score":0.44225773215293884},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3584475517272949},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.329950213432312},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2943752110004425},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15175718069076538},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.13862240314483643},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/afrcon.2017.8095535","is_oa":false,"landing_page_url":"https://doi.org/10.1109/afrcon.2017.8095535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE AFRICON","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","score":0.7200000286102295,"display_name":"No poverty"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321613","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W199098106","https://openalex.org/W1587451402","https://openalex.org/W1791587663","https://openalex.org/W1987258130","https://openalex.org/W2016959795","https://openalex.org/W2037557484","https://openalex.org/W2065148153","https://openalex.org/W2068185838","https://openalex.org/W2099697766","https://openalex.org/W2103279054","https://openalex.org/W2106757038","https://openalex.org/W2118016181","https://openalex.org/W2126512988","https://openalex.org/W2130427181","https://openalex.org/W2150947374","https://openalex.org/W2152095411","https://openalex.org/W3122197352","https://openalex.org/W3151685851"],"related_works":["https://openalex.org/W2944277854","https://openalex.org/W2258359646","https://openalex.org/W2493324121","https://openalex.org/W4234402960","https://openalex.org/W4210958110","https://openalex.org/W2483613126","https://openalex.org/W4210994448","https://openalex.org/W3217504343","https://openalex.org/W4364360147","https://openalex.org/W4251124243"],"abstract_inverted_index":{"The":[0],"health":[1,38,317],"status":[2],"of":[3,12,19,73,111,132,144,155,162,212,275,289,315],"women":[4],"and":[5,16,32,39,130,177,203,255,267,287],"children":[6],"is":[7,282],"considered":[8],"as":[9,228,230,238],"a":[10,17,95,118,153,307],"reflection":[11],"the":[13,20,74,87,108,125,136,141,145,183,187,209,213,215,247,250,270,279,296,300],"present":[14,117],"society":[15],"predictor":[18],"future":[21],"generations.":[22],"Unfortunately,":[23],"numerous":[24,52],"challenges":[25],"emanating":[26],"from":[27,242],"poverty,":[28],"inadequate":[29],"resources,":[30],"illiteracy":[31],"cultural":[33],"barriers":[34],"contribute":[35],"to":[36,56,78,83,100,104,249,284],"poor":[37,92],"high":[40],"mortality":[41],"rate":[42],"in":[43,65,98,107,292],"low-resource":[44,293],"settings.":[45,294],"To":[46,139,185,207],"address":[47],"these":[48],"challenges,":[49],"there":[50,260],"are":[51],"mHealth":[53,102,133,163,290],"interventions":[54,75],"seeking":[55],"exploit":[57],"opportunities":[58],"provided":[59],"by":[60],"over":[61],"90%":[62],"mobile":[63],"penetration":[64],"developing":[66],"countries.":[67],"However,":[68],"research":[69],"shows":[70,298],"that":[71,123,199,222,273,299],"most":[72],"have":[76],"failed":[77],"justify":[79],"their":[80],"value":[81],"proposition":[82],"motivate":[84],"integration":[85],"into":[86,171,219,306],"conventional":[88],"healthcare":[89],"systems.":[90],"This":[91],"up-take":[93],"requires":[94],"holistic":[96],"approach":[97],"order":[99],"align":[101],"solutions":[103,291],"consumer":[105],"needs":[106],"intended":[109,205],"context":[110],"use.":[112,206,258],"In":[113],"this":[114],"paper,":[115],"we":[116,147,167,190],"conceptual":[119],"model":[120,170,277,302],"named":[121,165],"TIPFit":[122,169,276],"forms":[124],"basis":[126],"for":[127,174,179,309],"predicting":[128,285],"acceptance":[129,202,254],"use":[131,274],"intervention":[134,164,221,251],"at":[135,278],"design":[137,161,280],"stage.":[138],"measure":[140],"predictive":[142,210],"power":[143,211],"model,":[146,214],"conducted":[148],"repeated":[149],"measures":[150],"experiment":[151],"using":[152],"cohort":[154,216],"79":[156],"randomly":[157],"selected":[158],"subjects.":[159],"During":[160],"Mamacare,":[166],"operationalized":[168],"blueprints":[172],"used":[173,191],"prototyping":[175],"Mamacare;":[176],"indicators":[178],"data":[180,233],"collection":[181],"during":[182],"experiment.":[184],"analyze":[186],"pre-intervention":[188],"dataset,":[189],"Partial":[192],"Least":[193],"Squares":[194],"Structural":[195],"Equation":[196],"Modelling":[197],"(PLS-SEM)":[198],"predicted":[200],"66.9%":[201],"60.7%":[204],"evaluate":[208],"was":[217,261],"recruited":[218],"Mamacare":[220],"involved":[223],"sending":[224],"targeted":[225],"SMS":[226],"alerts":[227],"well":[229],"receiving":[231],"real-time":[232],"on":[234],"vital":[235],"signs":[236],"such":[237],"blood":[239],"pressure.":[240],"Results":[241],"datasets":[243],"obtained":[244],"after":[245],"exposing":[246],"subjects":[248],"demonstrated":[252],"60.2%":[253],"47.6%":[256],"actual":[257,268],"Although":[259],"significant":[262],"difference":[263],"between":[264],"our":[265],"prediction":[266],"outcome,":[269],"study":[271,297],"demonstrates":[272],"stage":[281],"crucial":[283],"fit":[286],"utilization":[288],"Furthermore,":[295],"proposed":[301],"can":[303],"be":[304],"tailored":[305],"tool":[308],"evaluating":[310],"intervention's":[311],"progress":[312],"towards":[313],"attainment":[314],"desired":[316],"outcome.":[318]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}