Reducing Stock-Outs of Life Saving Malaria Commodities Using Mobile Phone Text-Messaging: SMS for Life Study in Kenya
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{"title"=>"Reducing Stock-Outs of Life Saving Malaria Commodities Using Mobile Phone Text-Messaging: SMS for Life Study in Kenya", "type"=>"journal", "authors"=>[{"first_name"=>"Sophie", "last_name"=>"Githinji", "scopus_author_id"=>"35483853700"}, {"first_name"=>"Samwel", "last_name"=>"Kigen", "scopus_author_id"=>"55560406700"}, {"first_name"=>"Dorothy", "last_name"=>"Memusi", "scopus_author_id"=>"26635729000"}, {"first_name"=>"Andrew", "last_name"=>"Nyandigisi", "scopus_author_id"=>"35230321300"}, {"first_name"=>"Agneta M.", "last_name"=>"Mbithi", "scopus_author_id"=>"50461954500"}, {"first_name"=>"Andrew", "last_name"=>"Wamari", "scopus_author_id"=>"55562080200"}, {"first_name"=>"Alex N.", "last_name"=>"Muturi", "scopus_author_id"=>"36682828600"}, {"first_name"=>"George", "last_name"=>"Jagoe", "scopus_author_id"=>"35086301500"}, {"first_name"=>"Jim", "last_name"=>"Barrington", "scopus_author_id"=>"36626954400"}, {"first_name"=>"Robert W.", "last_name"=>"Snow", "scopus_author_id"=>"56771582900"}, {"first_name"=>"Dejan", "last_name"=>"Zurovac", "scopus_author_id"=>"6602136398"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"368150011", "issn"=>"19326203", "isbn"=>"1932-6203", "doi"=>"10.1371/journal.pone.0054066", "scopus"=>"2-s2.0-84872512578", "pmid"=>"23349786", "sgr"=>"84872512578"}, "id"=>"c2c1ad78-6c2d-34a9-bff0-497bdbe0004a", "abstract"=>"BACKGROUND:Health facility stock-outs of life saving malaria medicines are common across Africa. Innovative ways of addressing this problem are urgently required. We evaluated whether SMS based reporting of stocks of artemether-lumefantrine (AL) and rapid diagnostic tests (RDT) can result in reduction of stock-outs at peripheral facilities in Kenya.\\n\\nMETHODS/FINDINGS:All 87 public health facilities in five Kenyan districts were included in a 26 week project. Weekly facility stock counts of four AL packs and RDTs were sent via structured incentivized SMS communication process from health workers' personal mobile phones to a web-based system accessed by district managers. The mean health facility response rate was 97% with a mean formatting error rate of 3%. Accuracy of stock count reports was 79% while accuracy of stock-out reports was 93%. District managers accessed the system 1,037 times at an average of eight times per week. The system was accessed in 82% of the study weeks. Comparing weeks 1 and 26, stock-out of one or more AL packs declined by 38 percentage-points. Total AL stock-out declined by 5 percentage-points and was eliminated by the end of the project. Stock-out declines of individual AL packs ranged from 14 to 32 percentage-points while decline in RDT stock-outs was 24 percentage-points. District managers responded to 44% of AL and 73% of RDT stock-out signals by redistributing commodities between facilities. In comparison with national trends, stock-out declines in study areas were greater, sharper and more sustained.\\n\\nCONCLUSIONS:Use of simple SMS technology ensured high reporting rates of reasonably accurate, real-time facility stock data that were used by district managers to undertake corrective actions to reduce stock-outs. Future work on stock monitoring via SMS should focus on assessing response rates without use of incentives and demonstrating effectiveness of such interventions on a larger scale.", "link"=>"http://www.mendeley.com/research/reducing-stockouts-life-saving-malaria-commodities-using-mobile-phone-textmessaging-sms-life-study-k", "reader_count"=>145, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>4, "Student > Doctoral Student"=>11, "Researcher"=>28, "Student > Ph. D. Student"=>20, "Student > Postgraduate"=>14, "Student > Master"=>43, "Other"=>7, "Student > Bachelor"=>10, "Lecturer"=>5, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>4, "Student > Doctoral Student"=>11, "Researcher"=>28, "Student > Ph. D. Student"=>20, "Student > Postgraduate"=>14, "Student > Master"=>43, "Other"=>7, "Student > Bachelor"=>10, "Lecturer"=>5, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>2, "Agricultural and Biological Sciences"=>13, "Arts and Humanities"=>1, "Business, Management and Accounting"=>8, "Veterinary Science and Veterinary Medicine"=>1, "Computer Science"=>17, "Decision Sciences"=>1, "Economics, Econometrics and Finance"=>2, "Engineering"=>5, "Environmental Science"=>2, "Nursing and Health Professions"=>10, "Biochemistry, Genetics and Molecular Biology"=>1, "Mathematics"=>1, "Medicine and Dentistry"=>53, "Pharmacology, Toxicology and Pharmaceutical Science"=>3, "Physics and Astronomy"=>1, "Psychology"=>2, "Social Sciences"=>22}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>53}, "Social Sciences"=>{"Social Sciences"=>22}, "Decision Sciences"=>{"Decision Sciences"=>1}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Psychology"=>{"Psychology"=>2}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>2}, "Environmental Science"=>{"Environmental Science"=>2}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>3}, "Arts and Humanities"=>{"Arts and Humanities"=>1}, "Engineering"=>{"Engineering"=>5}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>13}, "Computer Science"=>{"Computer Science"=>17}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>8}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>10}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Veterinary Science and Veterinary Medicine"=>{"Veterinary Science and Veterinary Medicine"=>1}}, "reader_count_by_country"=>{"Sweden"=>1, "Vietnam"=>1, "United States"=>2, "Ireland"=>1, "Philippines"=>1, "Tanzania"=>2, "Brazil"=>1, "United Kingdom"=>1, "Ghana"=>1, "Switzerland"=>1}, "group_count"=>11}

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Figshare

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  • {"files"=>["https://ndownloader.figshare.com/files/506116"], "description"=>"<p>RDT stock-out trend over 26 weeks monitoring period.</p>", "links"=>[], "tags"=>["stock-out", "26", "weeks", "monitoring"], "article_id"=>176620, "categories"=>["Infectious Diseases", "Immunology", "Biotechnology", "Pharmacology"], "users"=>["Sophie Githinji", "Samwel Kigen", "Dorothy Memusi", "Andrew Nyandigisi", "Agneta M. Mbithi", "Andrew Wamari", "Alex N. Muturi", "George Jagoe", "Jim Barrington", "Robert W. Snow", "Dejan Zurovac"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0054066.g006", "stats"=>{"downloads"=>2, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_RDT_stock_out_trend_over_26_weeks_monitoring_period_/176620", "title"=>"RDT stock-out trend over 26 weeks monitoring period.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-19 16:56:27"}
  • {"files"=>["https://ndownloader.figshare.com/files/505927"], "description"=>"<p>Legend. Black bars show correctly reported stock counts (+/−0–10%); dark grey bars show counts with discrepancy +/−10–20%; light grey bars show counts with discrepancy +/−20–30%, and white bars show counts with >30% discrepancy.</p>", "links"=>[], "tags"=>["sms", "reported"], "article_id"=>176430, "categories"=>["Infectious Diseases", "Immunology", "Biotechnology", "Pharmacology"], "users"=>["Sophie Githinji", "Samwel Kigen", "Dorothy Memusi", "Andrew Nyandigisi", "Agneta M. Mbithi", "Andrew Wamari", "Alex N. Muturi", "George Jagoe", "Jim Barrington", "Robert W. Snow", "Dejan Zurovac"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0054066.g004", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Accuracy_of_SMS_reported_stock_parameters_/176430", "title"=>"Accuracy of SMS reported stock parameters.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-19 16:55:25"}
  • {"files"=>["https://ndownloader.figshare.com/files/505661"], "description"=>"<p>(A) <i>SMS for Life</i> System dashboard. (B) Display of health facilities showing stock levels and stock-out alerts.</p>", "links"=>[], "tags"=>["web-based"], "article_id"=>176171, "categories"=>["Infectious Diseases", "Immunology", "Biotechnology", "Pharmacology"], "users"=>["Sophie Githinji", "Samwel Kigen", "Dorothy Memusi", "Andrew Nyandigisi", "Agneta M. Mbithi", "Andrew Wamari", "Alex N. Muturi", "George Jagoe", "Jim Barrington", "Robert W. Snow", "Dejan Zurovac"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0054066.g002", "stats"=>{"downloads"=>0, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Screenshots_of_SMS_for_Life_web_based_reporting_tool_/176171", "title"=>"Screenshots of <i>SMS for Life</i> web-based reporting tool.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-19 16:54:04"}
  • {"files"=>["https://ndownloader.figshare.com/files/505469"], "description"=>"<p>A mobile phone displaying the stock request message sent to registered health workers.</p>", "links"=>[], "tags"=>["displaying", "sent", "registered"], "article_id"=>175964, "categories"=>["Infectious Diseases", "Immunology", "Biotechnology", "Pharmacology"], "users"=>["Sophie Githinji", "Samwel Kigen", "Dorothy Memusi", "Andrew Nyandigisi", "Agneta M. Mbithi", "Andrew Wamari", "Alex N. Muturi", "George Jagoe", "Jim Barrington", "Robert W. Snow", "Dejan Zurovac"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0054066.g001", "stats"=>{"downloads"=>1, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_A_mobile_phone_displaying_the_stock_request_message_sent_to_registered_health_workers_/175964", "title"=>"A mobile phone displaying the stock request message sent to registered health workers.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-19 16:52:56"}
  • {"files"=>["https://ndownloader.figshare.com/files/506010"], "description"=>"<p>(A) Proportion of health facilities stocked out of all four AL packs and at least one AL pack over 26 weeks. Legend. Blue bars show stock-outs of at least one AL pack; red bars show stock-outs of all four AL packs. (B) Proportion of health facilities stocked out of AL 6, AL 12, AL 18 and AL 24 packs over 26 weeks. Legend. Yellow bars show stock-out of AL 6; blue bars stock-out of AL 12; red bars stock-out of AL 18 and green bars stock-out of AL 24 (C) Stock-out trends of all four AL packs and at least one AL pack in study districts compared to a nationally representative sample. Legend. The 7 consecutive bars show stock-outs in August, September, October, November, December, January and February. (D) Stock-out trends of AL 6, AL 12, AL 18 and AL 24 packs in study districts compared to a nationally representative sample. Legend. The 7 consecutive bars show stock-outs in August, September, October, November, December, January and February.</p>", "links"=>[], "tags"=>["stock-out", "trends", "districts", "comparisons"], "article_id"=>176511, "categories"=>["Infectious Diseases", "Immunology", "Biotechnology", "Pharmacology"], "users"=>["Sophie Githinji", "Samwel Kigen", "Dorothy Memusi", "Andrew Nyandigisi", "Agneta M. Mbithi", "Andrew Wamari", "Alex N. Muturi", "George Jagoe", "Jim Barrington", "Robert W. Snow", "Dejan Zurovac"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0054066.g005", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_AL_stock_out_trends_in_study_districts_and_stock_out_comparisons_with_national_trends_/176511", "title"=>"AL stock-out trends in study districts and stock-out comparisons with national trends.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-19 16:55:53"}

PMC Usage Stats | Further Information

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Relative Metric

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