Using the Lives Saved Tool (LiST) to Model mHealth Impact on Neonatal Survival in Resource-Limited Settings
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{"title"=>"Using the Lives Saved Tool (LiST) to model mHealth impact on neonatal survival in resource-limited settings", "type"=>"journal", "authors"=>[{"first_name"=>"Youngji", "last_name"=>"Jo", "scopus_author_id"=>"56266508300"}, {"first_name"=>"Alain B.", "last_name"=>"Labrique", "scopus_author_id"=>"6505557971"}, {"first_name"=>"Amnesty E.", "last_name"=>"Lefevre", "scopus_author_id"=>"24338221500"}, {"first_name"=>"Garrett", "last_name"=>"Mehl", "scopus_author_id"=>"55312991800"}, {"first_name"=>"Teresa", "last_name"=>"Pfaff", "scopus_author_id"=>"55876825200"}, {"first_name"=>"Neff", "last_name"=>"Walker", "scopus_author_id"=>"7201515530"}, {"first_name"=>"Ingrid K.", "last_name"=>"Friberg", "scopus_author_id"=>"6602123807"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84904165945", "issn"=>"19326203", "scopus"=>"2-s2.0-84904165945", "pmid"=>"25014008", "pui"=>"373518441", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "doi"=>"10.1371/journal.pone.0102224"}, "id"=>"a2c091be-4ea2-3c89-9929-1f7601b76f6e", "abstract"=>"While the importance of mHealth scale-up has been broadly emphasized in the mHealth community, it is necessary to guide scale up efforts and investment in ways to help achieve the mortality reduction targets set by global calls to action such as the Millennium Development Goals, not merely to expand programs. We used the Lives Saved Tool (LiST)--an evidence-based modeling software--to identify priority areas for maternal and neonatal health services, by formulating six individual and combined interventions scenarios for two countries, Bangladesh and Uganda. Our findings show that skilled birth attendance and increased facility delivery as targets for mHealth strategies are likely to provide the biggest mortality impact relative to other intervention scenarios. Although further validation of this model is desirable, tools such as LiST can help us leverage the benefit of mHealth by articulating the most appropriate delivery points in the continuum of care to save lives.", "link"=>"http://www.mendeley.com/research/using-lives-saved-tool-list-model-mhealth-impact-neonatal-survival-resourcelimited-settings", "reader_count"=>131, "reader_count_by_academic_status"=>{"Unspecified"=>5, "Professor > Associate Professor"=>3, "Researcher"=>24, "Student > Doctoral Student"=>9, "Student > Ph. D. Student"=>21, "Student > Postgraduate"=>9, "Other"=>9, "Student > Master"=>32, "Student > Bachelor"=>10, "Lecturer"=>7, "Lecturer > Senior Lecturer"=>1, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>5, "Professor > Associate Professor"=>3, "Researcher"=>24, "Student > Doctoral Student"=>9, "Student > Ph. D. Student"=>21, "Student > Postgraduate"=>9, "Other"=>9, "Student > Master"=>32, "Student > Bachelor"=>10, "Lecturer"=>7, "Lecturer > Senior Lecturer"=>1, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>14, "Agricultural and Biological Sciences"=>6, "Arts and Humanities"=>3, "Business, Management and Accounting"=>6, "Computer Science"=>10, "Decision Sciences"=>1, "Economics, Econometrics and Finance"=>1, "Engineering"=>1, "Environmental Science"=>1, "Nursing and Health Professions"=>16, "Biochemistry, Genetics and Molecular Biology"=>1, "Mathematics"=>2, "Medicine and Dentistry"=>44, "Neuroscience"=>2, "Design"=>1, "Pharmacology, Toxicology and Pharmaceutical Science"=>1, "Psychology"=>2, "Social Sciences"=>19}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>44}, "Social Sciences"=>{"Social Sciences"=>19}, "Decision Sciences"=>{"Decision Sciences"=>1}, "Psychology"=>{"Psychology"=>2}, "Mathematics"=>{"Mathematics"=>2}, "Unspecified"=>{"Unspecified"=>14}, "Environmental Science"=>{"Environmental Science"=>1}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>1}, "Arts and Humanities"=>{"Arts and Humanities"=>3}, "Design"=>{"Design"=>1}, "Engineering"=>{"Engineering"=>1}, "Neuroscience"=>{"Neuroscience"=>2}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>6}, "Computer Science"=>{"Computer Science"=>10}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>6}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>16}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}}, "reader_count_by_country"=>{"Canada"=>1, "Belgium"=>1, "United States"=>2, "United Kingdom"=>3}, "group_count"=>17}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1589176"], "description"=>"<p>SOURCE: Authors.</p>", "links"=>[], "tags"=>["Information technology", "health care", "Health care policy", "Child and adolescent health policy", "Health systems strengthening", "Communication in health care", "Health care quality", "Health economics", "Socioeconomic aspects of health", "pediatrics", "Child health", "Public and occupational health", "Behavioral and social aspects of health", "Global health", "women's health", "Science policy and economics", "Economics", "Political science", "public policy", "Poverty reduction"], "article_id"=>1100557, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Youngji Jo", "Alain B. Labrique", "Amnesty E. Lefevre", "Garrett Mehl", "Teresa Pfaff", "Neff Walker", "Ingrid K. Friberg"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0102224.g001", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_mHealth_Health_Service_Coverage_Increase_Impact_Model_/1100557", "title"=>"mHealth Health Service Coverage Increase Impact Model.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-07-11 02:44:41"}
  • {"files"=>["https://ndownloader.figshare.com/files/1589183", "https://ndownloader.figshare.com/files/1589184"], "description"=>"<div><p>While the importance of mHealth scale-up has been broadly emphasized in the mHealth community, it is necessary to guide scale up efforts and investment in ways to help achieve the mortality reduction targets set by global calls to action such as the Millennium Development Goals, not merely to expand programs. We used the Lives Saved Tool (<i>LiST</i>)–an evidence-based modeling software–to identify priority areas for maternal and neonatal health services, by formulating six individual and combined interventions scenarios for two countries, Bangladesh and Uganda. Our findings show that <i>skilled birth attendance and increased facility delivery</i> as targets for mHealth strategies are likely to provide the biggest mortality impact relative to other intervention scenarios. Although further validation of this model is desirable, tools such as <i>LiST</i> can help us leverage the benefit of mHealth by articulating the most appropriate delivery points in the continuum of care to save lives.</p></div>", "links"=>[], "tags"=>["Information technology", "health care", "Health care policy", "Child and adolescent health policy", "Health systems strengthening", "Communication in health care", "Health care quality", "Health economics", "Socioeconomic aspects of health", "pediatrics", "Child health", "Public and occupational health", "Behavioral and social aspects of health", "Global health", "women's health", "Science policy and economics", "Economics", "Political science", "public policy", "Poverty reduction", "lives", "saved", "mhealth", "neonatal", "resource-limited", "settings"], "article_id"=>1100564, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Youngji Jo", "Alain B. Labrique", "Amnesty E. Lefevre", "Garrett Mehl", "Teresa Pfaff", "Neff Walker", "Ingrid K. Friberg"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0102224.s001", "https://dx.doi.org/10.1371/journal.pone.0102224.s002"], "stats"=>{"downloads"=>2, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Using_the_Lives_Saved_Tool_LiST_to_Model_mHealth_Impact_on_Neonatal_Survival_in_Resource_Limited_Settings/1100564", "title"=>"Using the Lives Saved Tool (<i>LiST</i>) to Model mHealth Impact on Neonatal Survival in Resource-Limited Settings", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2014-07-11 02:44:41"}
  • {"files"=>["https://ndownloader.figshare.com/files/1589180"], "description"=>"<p>SOURCE: <i>LiST.</i></p><p>Notes: For detailed definitions and data sources, see <i>LiST</i> manuals and published articles <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0102224#pone.0102224-Fox1\" target=\"_blank\">[56]</a>, <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0102224#pone.0102224-Winfrey1\" target=\"_blank\">[61]</a><a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0102224#pone.0102224-USAID1\" target=\"_blank\">[67]</a>;baseline coverage data were compiled from Demographic and Health Surveys (DHS: Uganda and Bangladesh, 2011); Multiple Indicator Cluster Survey (MICS Round 3: Bangladesh, 2006).</p><p>*Coverage measure of SBA includes coverage measure of FD. Thus we modeled coverage increase for SBA and FD simultaneously as 10%, 30%, and 50%. Data course of SBA and FD is from DHS/MICS and percentages of home deliveries and facility deliveries are based on <i>LiST</i> imbedded algorithms.</p><p>**Estimations of home deliveries (unassisted deliveries, assisted deliveries at home), facility deliveries (essential care, BEmOC, CEmOC), exclusive breastfeeding, predominant breastfeeding, and partial breastfeeding are derived from the <i>LiST</i> imbedded algorithms.</p><p><b>Antenatal care (ANC 4+):</b> Percent of pregnant women with at least 4 antenatal care visits during their pregnancy. The intervention includes Routine (TT, IPTp, Syphilis detection and treatment), Nutritional (Calcium supplementation), Case management (Diabetes, Management of pre-eclampsia), Other (Fetal growth restriction detection and management). This analysis does not include iron-folic acid. Data source of ANC is from DHS/MICS.</p><p><b>Skilled Birth Attendance (SBA):</b> Percent of children born who are attended by a skilled attendance, including doctors, nurses, midwives- in a facility or home. An SBA in the home is defined as a skilled birth attendant who deliveries the infant at home without benefit of referral to a facility in case of emergency. An SBA in a facility is defined as a medically skilled attendant who has the ability and facilities needed to monitor labor progress with a partograph and detect complications. Episiotomy is available, if needed. Infection control is covered under clean birth practices; <b>Facility delivery (FD):</b> Percent of children born in an institution. Unassisted deliveries: Percent of deliveries without skilled attendance in the home.</p><p>- Assisted deliveries at home: Percent of deliveries with a skilled attendant in the home.</p><p>- Essential care: Percent of deliveries including monitoring labor progress with a partograph, detection of complications and infection control via a clean delivery, Episiotomy is available, if needed. For the neonate, this includes routine care practices including: immediate drying, skin-to-skin contact or immediate wrapping for thermal care and clean cord cutting.</p><p>- BEmOC (Basic Emergency Obstetric Care): Percent of deliveries at a health center and covers case management of direct obstetric complications. The intervention includes: Case management of ante-partum hemorrhage, prolonged/obstructed labor, post-partum hemorrhage and severe infection. <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0102224#s2\" target=\"_blank\">Methods</a> include: shock management, pain relief, ABC, IV fluids, instrumental delivery and manual removal of the placenta and retained products.</p><p>- CEmOC (Comprehensive Emergency Obstetric Care): Percent of deliveries at a hospital and covers case management of direct obstetric complications. In addition to including all interventions in Basic Emergency Obstetric Care, additional methods include: ultrasound, culdocentesis, induction, laparotomy, salpingectomy, blood transfusion, caesarian section, hysterectomy, symphisiotomy, balloon tamponade, uterine ligature, MRVOP, surgical infection control and episiotomy.</p><p>- Users can change any of the assumptions in the <i>LiST</i> by simply uncheck the box ‘Allow <i>LiST</i> to calculate place and level of delivery’ to allow direct entry of these values. The sum of all five delivery levels must be no more than 100%. Note that the values listed assume the highest level of care that is available for that particular delivery. So the percent of deliveries with essential care selected assume that none of these pregnancies have BEmOC or CEmOC available.</p><p><b>Exclusive breastfeeding (BF):</b> Percent of children 0–11 months receiving only breast milk for food (plus medication, vaccines, and vitamins).</p><p><b>Preventative postnatal care (PNC):</b> Percent of infants with a postnatal health contact/visit within 2 days of birth.</p>", "links"=>[], "tags"=>["Information technology", "health care", "Health care policy", "Child and adolescent health policy", "Health systems strengthening", "Communication in health care", "Health care quality", "Health economics", "Socioeconomic aspects of health", "pediatrics", "Child health", "Public and occupational health", "Behavioral and social aspects of health", "Global health", "women's health", "Science policy and economics", "Economics", "Political science", "public policy", "Poverty reduction", "interventions", "scenarios", "bangladesh", "uganda", "baseline", "2011"], "article_id"=>1100561, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Youngji Jo", "Alain B. Labrique", "Amnesty E. Lefevre", "Garrett Mehl", "Teresa Pfaff", "Neff Walker", "Ingrid K. Friberg"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0102224.t002", "stats"=>{"downloads"=>0, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_LiST_Interventions_and_Coverage_Increase_Scenarios_in_Bangladesh_and_Uganda_input_parameters_of_baseline_year_in_2011_and_target_year_in_2015_/1100561", "title"=>"<i>LiST</i> Interventions and Coverage Increase Scenarios in Bangladesh and Uganda (input parameters of baseline year in 2011 and target year in 2015).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-07-11 02:44:41"}
  • {"files"=>["https://ndownloader.figshare.com/files/1589178"], "description"=>"<p>SOURCE: <i>LiST.</i></p>", "links"=>[], "tags"=>["Information technology", "health care", "Health care policy", "Child and adolescent health policy", "Health systems strengthening", "Communication in health care", "Health care quality", "Health economics", "Socioeconomic aspects of health", "pediatrics", "Child health", "Public and occupational health", "Behavioral and social aspects of health", "Global health", "women's health", "Science policy and economics", "Economics", "Political science", "public policy", "Poverty reduction", "impacts", "mnh", "interventions", "scenarios", "bangladesh", "uganda"], "article_id"=>1100559, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Youngji Jo", "Alain B. Labrique", "Amnesty E. Lefevre", "Garrett Mehl", "Teresa Pfaff", "Neff Walker", "Ingrid K. Friberg"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0102224.g002", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Neonatal_Mortality_Impacts_by_Various_MNH_Interventions_and_Coverage_Scenarios_in_Bangladesh_and_Uganda_in_2015_/1100559", "title"=>"Neonatal Mortality Impacts by Various MNH Interventions and Coverage Scenarios in Bangladesh and Uganda in 2015.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-07-11 02:44:41"}
  • {"files"=>["https://ndownloader.figshare.com/files/1589179"], "description"=>"<p>SOURCE: <i>LiST.</i></p><p>Note: ()*** is a percentage change in NMR from baseline in 2011 to 2015.</p>", "links"=>[], "tags"=>["Information technology", "health care", "Health care policy", "Child and adolescent health policy", "Health systems strengthening", "Communication in health care", "Health care quality", "Health economics", "Socioeconomic aspects of health", "pediatrics", "Child health", "Public and occupational health", "Behavioral and social aspects of health", "Global health", "women's health", "Science policy and economics", "Economics", "Political science", "public policy", "Poverty reduction", "impacts", "mnh", "interventions", "scenarios", "bangladesh", "uganda"], "article_id"=>1100560, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Youngji Jo", "Alain B. Labrique", "Amnesty E. Lefevre", "Garrett Mehl", "Teresa Pfaff", "Neff Walker", "Ingrid K. Friberg"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0102224.t003", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Neonatal_Mortality_Impacts_by_Various_MNH_Interventions_and_Coverage_Scenarios_in_Bangladesh_and_Uganda_in_2015_/1100560", "title"=>"Neonatal Mortality Impacts by Various MNH Interventions and Coverage Scenarios in Bangladesh and Uganda in 2015.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-07-11 02:44:41"}
  • {"files"=>["https://ndownloader.figshare.com/files/1589181"], "description"=>"<p>SOURCE: Compiled from references <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0102224#pone.0102224-Chib1\" target=\"_blank\">[13]</a>, <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0102224#pone.0102224-Lund1\" target=\"_blank\">[22]</a>, <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0102224#pone.0102224-Mitchell1\" target=\"_blank\">[25]</a>, <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0102224#pone.0102224-Mobile2\" target=\"_blank\">[28]</a>–<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0102224#pone.0102224-Healthcare1\" target=\"_blank\">[29]</a>, <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0102224#pone.0102224-Curioso1\" target=\"_blank\">[30]</a>–<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0102224#pone.0102224-Lund2\" target=\"_blank\">[34]</a>, <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0102224#pone.0102224-Lund3\" target=\"_blank\">[40]</a>–<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0102224#pone.0102224-Musoke1\" target=\"_blank\">[45]</a>.</p>", "links"=>[], "tags"=>["Information technology", "health care", "Health care policy", "Child and adolescent health policy", "Health systems strengthening", "Communication in health care", "Health care quality", "Health economics", "Socioeconomic aspects of health", "pediatrics", "Child health", "Public and occupational health", "Behavioral and social aspects of health", "Global health", "women's health", "Science policy and economics", "Economics", "Political science", "public policy", "Poverty reduction", "mhealth", "programs", "mnh", "services"], "article_id"=>1100562, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Youngji Jo", "Alain B. Labrique", "Amnesty E. Lefevre", "Garrett Mehl", "Teresa Pfaff", "Neff Walker", "Ingrid K. Friberg"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0102224.t001", "stats"=>{"downloads"=>2, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Examples_of_mHealth_programs_on_MNH_services_through_CHWs_/1100562", "title"=>"Examples of mHealth programs on MNH services through CHWs.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-07-11 02:44:41"}

PMC Usage Stats | Further Information

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Relative Metric

{"start_date"=>"2014-01-01T00:00:00Z", "end_date"=>"2014-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Biology and life sciences/Population biology", "average_usage"=>[312, 475]}, {"subject_area"=>"/Engineering and technology", "average_usage"=>[282]}, {"subject_area"=>"/Medicine and health sciences/Public and occupational health", "average_usage"=>[327, 510]}, {"subject_area"=>"/People and places/Demography", "average_usage"=>[309]}]}
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