1
|
Ntshoe G, Shonhiwa AM, Govender N, Page N. A systematic review on mobile health applications for foodborne disease outbreak management. BMC Public Health 2021; 21:2228. [PMID: 34876067 PMCID: PMC8653522 DOI: 10.1186/s12889-021-12283-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 11/16/2021] [Indexed: 11/17/2022] Open
Abstract
Background Foodborne disease outbreaks are common and notifiable in South Africa; however, they are rarely reported and poorly investigated. Surveillance data from the notification system is suboptimal and limited, and does not provide adequate information to guide public health action and inform policy. We performed a systematic review of published literature to identify mobile application-based outbreak response systems for managing foodborne disease outbreaks and to determine the elements that the system requires to generate foodborne disease data needed for public action. Methods Studies were identified through literature searches using online databases on PubMed/Medline, CINAHL, Academic Search Complete, Greenfile, Library, Information Science & Technology. Search was limited to studies published in English during the period January 1990 to November 2020. Search strategy included various terms in varying combinations with Boolean phrases “OR” and “AND”. Data were collected following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Statement. A standardised data collection tool was used to extract and summarise information from identified studies. We assessed qualities of mobile applications by looking at the operating system, system type, basic features and functionalities they offer for foodborne disease outbreak management. Results Five hundred and twenty-eight (528) publications were identified, of which 48 were duplicates. Of the remaining 480 studies, 2.9% (14/480) were assessed for eligibility. Only one of the 14 studies met the inclusion criteria and reported on one mobile health application named MyMAFI (My Mobile Apps for Field Investigation). There was lack of detailed information on the application characteristics. However, based on minimal information available, MyMAFI demonstrated the ability to generate line lists, reports and offered functionalities for outbreak verification and epidemiological investigation. Availability of other key components such as environmental and laboratory investigations were unknown. Conclusions There is limited use of mobile applications on management of foodborne disease outbreaks. Efforts should be made to set up systems and develop applications that can improve data collection and quality of foodborne disease outbreak investigations. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-021-12283-6.
Collapse
Affiliation(s)
- Genevie Ntshoe
- Division of Public Health Surveillance and Response, National Institute for Communicable Diseases, a division of the National Health Laboratory Service, Johannesburg, South Africa. .,School of Health Systems and Public Health, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.
| | - Andronica Moipone Shonhiwa
- Division of Public Health Surveillance and Response, National Institute for Communicable Diseases, a division of the National Health Laboratory Service, Johannesburg, South Africa
| | - Nevashan Govender
- Division of Public Health Surveillance and Response, National Institute for Communicable Diseases, a division of the National Health Laboratory Service, Johannesburg, South Africa
| | - Nicola Page
- Centre for Enteric Diseases, National Institute for Communicable Diseases, a division of the National Health Laboratory Service, Johannesburg, South Africa.,Department of Medical Virology, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| |
Collapse
|
2
|
Asadzadeh A, Kalankesh LR. A scope of mobile health solutions in COVID-19 pandemics. INFORMATICS IN MEDICINE UNLOCKED 2021; 23:100558. [PMID: 33842688 PMCID: PMC8019236 DOI: 10.1016/j.imu.2021.100558] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2020] [Revised: 03/24/2021] [Accepted: 03/24/2021] [Indexed: 01/12/2023] Open
Abstract
Background and aim COVID-19 has become an international emergency. The use of digital solutions can be effective in managing, preventing, and overcoming the further spread of infectious disease outbreaks. Accordingly, the use of mobile-health (m-health) technologies has the potential to promote public health. This review aimed to study the application of m-health solutions for the management of the COVID-19 outbreak. Methods The search strategy was done in Medline (PubMed), Embase, IEEE, and Google Scholar by using related keywords to m-health and COVID-19 on July 6, 2020. English papers that used m-health technologies for the COVID-19 outbreak were included. Results Of the 2046 papers identified, 16 were included in this study. M-health had been used for various aims such as early detection, fast screening, patient monitoring, information sharing, education, and treatment in response to the COVID-19 outbreak. M-health solutions were classified into four use case categories: prevention, diagnosis, treatment, and protection. The mobile phone-based app and short text massaging were the most frequently used modalities, followed by wearables, portable screening devices, mobile-telehealth, and continuous telemetry monitor during the pandemics. Conclusion It appears that m-health technologies played a positive role during the COVID-19 outbreak. Given the extensive capabilities of m-health solutions, investigation and use of all potential applications of m-health should be considered for combating the current Epidemics and mitigating its negative impacts.
Collapse
Affiliation(s)
- Afsoon Asadzadeh
- Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran.,Department of Health Information Technology, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Leila R Kalankesh
- Department of Health Information Technology, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran.,Health Services Management Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| |
Collapse
|
3
|
Osei E, Mashamba-Thompson TP. Mobile health applications for disease screening and treatment support in low-and middle-income countries: A narrative review. Heliyon 2021; 7:e06639. [PMID: 33869857 PMCID: PMC8035664 DOI: 10.1016/j.heliyon.2021.e06639] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 11/15/2020] [Accepted: 03/26/2021] [Indexed: 12/12/2022] Open
Abstract
The advances in mobile technologies and applications are driving the transformation in health services delivery globally. Mobile phone penetration is increasing exponentially in low-and middle-income countries, hence using mobile phones for healthcare services could reach more people in resource-limited settings than the traditional forms of healthcare provision. The review presents recent literature on facilitators and barriers of implementing mHealth for disease screening and treatment support in low-and middle-income countries. We searched for relevant literature from the following electronic databases: MEDLINE; CINAHL with full text via EBSCOhost; Science Direct; PubMed; Google Scholar and Web of Science using the keywords for relevant studies. We searched for published studies from 2015 to August 2020 with no language limitations. A total of 721 articles identified, 125 articles met the inclusion criteria and were included in the qualitative synthesis. The review demonstrates relevant facilitators for the implementation of mHealth, which includes knowledge, attitudes, and perceptions of stakeholders on the use of mHealth and the performance of mHealth for disease diagnosis in low and-middle-income countries. Barriers and challenges hindering the implementation of mHealth applications were also identified. We proposed a framework for improving the implementation of mHealth for disease screening and treatment support in low-and middle-income countries.
Collapse
Affiliation(s)
- Ernest Osei
- Discipline of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
| | - Tivani P. Mashamba-Thompson
- Discipline of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
- Faculty of Health Sciences, University of Pretoria, Prinshof Campus, Pretoria, South Africa
| |
Collapse
|
4
|
Carrillo MA, Kroeger A, Cardenas Sanchez R, Diaz Monsalve S, Runge-Ranzinger S. The use of mobile phones for the prevention and control of arboviral diseases: a scoping review. BMC Public Health 2021; 21:110. [PMID: 33422034 PMCID: PMC7796697 DOI: 10.1186/s12889-020-10126-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 12/23/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The rapid expansion of dengue, Zika and chikungunya with large scale outbreaks are an increasing public health concern in many countries. Additionally, the recent coronavirus pandemic urged the need to get connected for fast information transfer and exchange. As response, health programmes have -among other interventions- incorporated digital tools such as mobile phones for supporting the control and prevention of infectious diseases. However, little is known about the benefits of mobile phone technology in terms of input, process and outcome dimensions. The purpose of this scoping review is to analyse the evidence of the use of mobile phones as an intervention tool regarding the performance, acceptance, usability, feasibility, cost and effectiveness in dengue, Zika and chikungunya control programmes. METHODS We conducted a scoping review of studies and reports by systematically searching: i) electronic databases (PubMed, PLOS ONE, PLOS Neglected Tropical Disease, LILACS, WHOLIS, ScienceDirect and Google scholar), ii) grey literature, using Google web and iii) documents in the list of references of the selected papers. Selected studies were categorized using a pre-determined data extraction form. Finally, a narrative summary of the evidence related to general characteristics of available mobile health tools and outcomes was produced. RESULTS The systematic literature search identified 1289 records, 32 of which met the inclusion criteria and 4 records from the reference lists. A total of 36 studies were included coming from twenty different countries. Five mobile phone services were identified in this review: mobile applications (n = 18), short message services (n=7), camera phone (n = 6), mobile phone tracking data (n = 4), and simple mobile communication (n = 1). Mobile phones were used for surveillance, prevention, diagnosis, and communication demonstrating good performance, acceptance and usability by users, as well as feasibility of mobile phone under real life conditions and effectiveness in terms of contributing to a reduction of vectors/ disease and improving users-oriented behaviour changes. It can be concluded that there are benefits for using mobile phones in the fight against arboviral diseases as well as other epidemic diseases. Further studies particularly on acceptance, cost and effectiveness at scale are recommended.
Collapse
Affiliation(s)
- Maria Angelica Carrillo
- Centre for Medicine and Society, Master Programme Global Urban Health, Albert-Ludwigs- University Freiburg, Freiburg im Breisgau, Germany.
| | - Axel Kroeger
- Centre for Medicine and Society, Master Programme Global Urban Health, Albert-Ludwigs- University Freiburg, Freiburg im Breisgau, Germany
| | - Rocio Cardenas Sanchez
- Centre for Medicine and Society, Master Programme Global Urban Health, Albert-Ludwigs- University Freiburg, Freiburg im Breisgau, Germany
| | - Sonia Diaz Monsalve
- Centre for Medicine and Society, Master Programme Global Urban Health, Albert-Ludwigs- University Freiburg, Freiburg im Breisgau, Germany
| | | |
Collapse
|
5
|
Leon N, Balakrishna Y, Hohlfeld A, Odendaal WA, Schmidt BM, Zweigenthal V, Anstey Watkins J, Daniels K. Routine Health Information System (RHIS) improvements for strengthened health system management. Cochrane Database Syst Rev 2020; 8:CD012012. [PMID: 32803893 PMCID: PMC8094584 DOI: 10.1002/14651858.cd012012.pub2] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
BACKGROUND A well-functioning routine health information system (RHIS) can provide the information needed for health system management, for governance, accountability, planning, policy making, surveillance and quality improvement, but poor information support has been identified as a major obstacle for improving health system management. OBJECTIVES To assess the effects of interventions to improve routine health information systems in terms of RHIS performance, and also, in terms of improved health system management performance, and improved patient and population health outcomes. SEARCH METHODS We searched the Cochrane Central Register of Controlled Trials (CENTRAL) in the Cochrane Library, MEDLINE Ovid and Embase Ovid in May 2019. We searched Global Health, Ovid and PsycInfo in April 2016. In January 2020 we searched for grey literature in the Grey Literature Report and in OpenGrey, and for ongoing trials using the International Clinical Trials Registry Platform (ICTRP) and ClinicalTrials.gov. In October 2019 we also did a cited reference search using Web of Science, and a 'similar articles' search in PubMed. SELECTION CRITERIA Randomised and non-randomised trials, controlled before-after studies and time-series studies comparing routine health information system interventions, with controls, in primary, hospital or community health care settings. Participants included clinical staff and management, district management and community health workers using routine information systems. DATA COLLECTION AND ANALYSIS Two authors independently reviewed records to identify studies for inclusion, extracted data from the included studies and assessed the risk of bias. Interventions and outcomes were too varied across studies to allow for pooled risk analysis. We present a 'Summary of findings' table for each intervention comparisons broadly categorised into Technical and Organisational (or a combination), and report outcomes on data quality and service quality. We used the GRADE approach to assess the certainty of the evidence. MAIN RESULTS We included six studies: four cluster randomised trials and two controlled before-after studies, from Africa and South America. Three studies evaluated technical interventions, one study evaluated an organisational intervention, and two studies evaluated a combination of technical and organisational interventions. Four studies reported on data quality and six studies reported on service quality. In terms of data quality, a web-based electronic TB laboratory information system probably reduces the length of time to reporting of TB test results, and probably reduces the overall rate of recording errors of TB test results, compared to a paper-based system (moderate certainty evidence). We are uncertain about the effect of the electronic laboratory information system on the recording rate of serious (misidentification) errors for TB test results compared to a paper-based system (very low certainty evidence). Misidentification errors are inaccuracies in transferring test results between an electronic register and patients' clinical charts. We are also uncertain about the effect of the intervention on service quality (timeliness of starting or changing a patient's TB treatment) (very low certainty evidence). A hand-held electronic device probably improves the length of time to report TB test results, and probably reduces the total frequency of recording errors in TB test results between the laboratory notebook and the electronic information record system, compared to a paper-based system (moderate-certainty evidence). We are, however, uncertain about the effect of the intervention on the frequency of serious (misidentification) errors in recording between the laboratory notebook and the electronic information record, compared to a paper-based system (very low certainty evidence). We are uncertain about the effect of a hospital electronic health information system on service quality (length of time outpatients spend at hospital, length of hospital stay, and hospital revenue collection), compared to a paper-based system (very low certainty evidence). High-intensity brief text messaging (SMS) may make little or no difference to data quality (in terms of completeness of documentation of pregnancy outcomes), compared to low-intensity brief text messaging (low-certainty evidence). We are uncertain about the effect of electronic drug stock notification (with either data management support or product transfer support) on service quality (in terms of transporting stock and stock levels), compared to paper-based stock notification (very low certainty evidence). We are uncertain about the effect of health information strengthening (where it is part of comprehensive service quality improvement intervention) on service quality (health worker motivation, receipt of training by health workers, health information index scores, quality of clinical observation of children and adults) (very low certainty evidence). AUTHORS' CONCLUSIONS The review indicates mixed effects of mainly technical interventions to improve data quality, with gaps in evidence on interventions aimed at enhancing data-informed health system management. There is a gap in interventions studying information support beyond clinical management, such as for human resources, finances, drug supply and governance. We need to have a better understanding of the causal mechanisms by which information support may affect change in management decision-making, to inform robust intervention design and evaluation methods.
Collapse
Affiliation(s)
- Natalie Leon
- Health Systems Research Unit, South African Medical Research Council, Cape Town, South Africa
- School of Public Health, Department of Epidemiology, Brown University, Providence, Rhode Island, USA
| | - Yusentha Balakrishna
- Biostatistics Unit, South African Medical Research Council, Durban, South Africa
| | - Ameer Hohlfeld
- Cochrane South Africa, South African Medical Research Council, Cape Town, South Africa
| | - Willem A Odendaal
- Health Systems Research Unit, South African Medical Research Council, Cape Town, South Africa
- Department of Psychiatry, Stellenbosch University, Cape Town, South Africa
| | - Bey-Marrié Schmidt
- Cochrane South Africa, South African Medical Research Council, Cape Town, South Africa
| | - Virginia Zweigenthal
- Health Impact Assessment Directorate, Department of Health: Western Cape Province, Cape Town, South Africa
- School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | | | - Karen Daniels
- Health Systems Research Unit, South African Medical Research Council, Cape Town, South Africa
- School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| |
Collapse
|
6
|
Njeru I, Kareko D, Kisangau N, Langat D, Liku N, Owiso G, Dolan S, Rabinowitz P, Macharia D, Ekechi C, Widdowson MA. Use of technology for public health surveillance reporting: opportunities, challenges and lessons learnt from Kenya. BMC Public Health 2020; 20:1101. [PMID: 32660509 PMCID: PMC7359619 DOI: 10.1186/s12889-020-09222-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Accepted: 07/06/2020] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Effective public health surveillance systems are crucial for early detection and response to outbreaks. In 2016, Kenya transitioned its surveillance system from a standalone web-based surveillance system to the more sustainable and integrated District Health Information System 2 (DHIS2). As part of Global Health Security Agenda (GHSA) initiatives in Kenya, training on use of the new system was conducted among surveillance officers. We evaluated the surveillance indicators during the transition period in order to assess the impact of this training on surveillance metrics and identify challenges affecting reporting rates. METHODS From February to May 2017, we analysed surveillance data for 13 intervention and 13 comparison counties. An intervention county was defined as one that had received refresher training on DHIS2 while a comparison county was one that had not received training. We evaluated the impact of the training by analysing completeness and timeliness of reporting 15 weeks before and 12 weeks after the training. A chi-square test of independence was used to compare the reporting rates between the two groups. A structured questionnaire was administered to the training participants to assess the challenges affecting surveillance reporting. RESULTS The average completeness of reporting for the intervention counties increased from 45 to 62%, i.e. by 17 percentage points (95% CI 16.14-17.86) compared to an increase from 49 to 52% for the comparison group, i.e. by 3 percentage points (95% CI 2.23-3.77). The timeliness of reporting increased from 30 to 51%, i.e. by 21 percentage points (95% CI 20.16-21.84) for the intervention group, compared to an increase from 31 to 38% for the comparison group, i.e.by 7 percentage points (95% CI 6.27-7.73). Major challenges for the low reporting rates included lack of budget support from government, lack of airtime for reporting, health workers strike, health facilities not sending surveillance data, use of wrong denominator to calculate reporting rates and surveillance officers having other competing tasks. CONCLUSIONS Training plays an important role in improving public health surveillance reporting. However, to improve surveillance reporting rates to the desired national targets, other challenges affecting reporting must be identified and addressed accordingly.
Collapse
Affiliation(s)
- Ian Njeru
- International Training and Education Centre for Health (I-TECH Kenya), Nairobi, Kenya.
| | | | | | | | - Nzisa Liku
- International Training and Education Centre for Health (I-TECH Kenya), Nairobi, Kenya
| | - George Owiso
- International Training and Education Centre for Health (I-TECH Kenya), Nairobi, Kenya
| | - Samantha Dolan
- International Training and Education Centre for Health (I-TECH Kenya), Nairobi, Kenya
| | - Peter Rabinowitz
- International Training and Education Centre for Health (I-TECH Kenya), Nairobi, Kenya
| | - Daniel Macharia
- Division of Global Health Protection, Centers for Disease Control and Prevention, Nairobi, Kenya
| | - Chinyere Ekechi
- Division of Global Health Protection, Centers for Disease Control and Prevention, Nairobi, Kenya
| | - Marc-Alain Widdowson
- Division of Global Health Protection, Centers for Disease Control and Prevention, Nairobi, Kenya.,Division of Global Health Protection, Centers for Disease Control and Prevention, Atlanta, GA, USA
| |
Collapse
|
7
|
Abstract
With the spiraling pandemic of the Coronavirus Disease 2019 (COVID-19), it has becoming inherently important to disseminate accurate and timely information about the disease. Due to the ubiquity of Internet connectivity and smart devices, social sensing is emerging as a dynamic AI-driven sensing paradigm to extract real-time observations from online users. In this paper, we propose CovidSens, a vision of social sensing-based risk alert systems to spontaneously obtain and analyze social data to infer the state of the COVID-19 propagation. CovidSens can actively help to keep the general public informed about the COVID-19 spread and identify risk-prone areas by inferring future propagation patterns. The CovidSens concept is motivated by three observations: (1) people have been actively sharing their state of health and experience of the COVID-19 via online social media, (2) official warning channels and news agencies are relatively slower than people reporting their observations and experiences about COVID-19 on social media, and (3) online users are frequently equipped with substantially capable mobile devices that are able to perform non-trivial on-device computation for data processing and analytics. We envision an unprecedented opportunity to leverage the posts generated by the ordinary people to build a real-time sensing and analytic system for gathering and circulating vital information of the COVID-19 propagation. Specifically, the vision of CovidSens attempts to answer the questions: How to distill reliable information about the COVID-19 with the coexistence of prevailing rumors and misinformation in the social media? How to inform the general public about the latest state of the spread timely and effectively, and alert them to remain prepared? How to leverage the computational power on the edge devices (e.g., smartphones, IoT devices, UAVs) to construct fully integrated edge-based social sensing platforms for rapid detection of the COVID-19 spread? In this vision paper, we discuss the roles of CovidSens and identify the potential challenges in developing reliable social sensing-based risk alert systems. We envision that approaches originating from multiple disciplines (e.g., AI, estimation theory, machine learning, constrained optimization) can be effective in addressing the challenges. Finally, we outline a few research directions for future work in CovidSens.
Collapse
|
8
|
A Review of Mobile Health Applications in Epidemic and Pandemic Outbreaks: Lessons Learned for COVID-19. ARCHIVES OF CLINICAL INFECTIOUS DISEASES 2020. [DOI: 10.5812/archcid.103649] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Context: Using smart mobile devices, called mobile health (mHealth), facilitates providing health services, speeds up the process, and reduces the costs and complications of direct services. Also, mHealth has many capabilities and applications in epidemic and pandemic outbreaks. This study aimed to identify mHealth applications in epidemic/pandemic outbreaks and provide some suggestions for tackling COVID-19. Methods: To find the relevant studies, searches were done in PubMed and Scopus by related keywords during 2014 - 2020 (March 10). After selecting the studies based on the inclusion and exclusion criteria, data were collected by a data-gathering form. Results: Of the 727 retrieved studies, 17 studies were included. All studies emphasized the positive effect of mHealth for use in epidemic/pandemic outbreaks. The main applications of mHealth for epidemic/pandemic outbreaks included public health aspects, data management, educational programs, diagnosis, and treatment. Conclusions: mHealth is an appropriate method for encountering epidemic/pandemic outbreaks due to its extensive applications. In the pandemic outbreak of COVID-19, mHealth is one of the best choices to use in the patient-physician relationship as tele-visits, using in fever coach, providing real-time information for healthcare providers, population monitoring, and detecting the disease based on obtained data from different locations.
Collapse
|
9
|
A potential roadmap to overcome the current eastern DRC Ebola virus disease outbreak: From a computational perspective. SCIENTIFIC AFRICAN 2020. [DOI: 10.1016/j.sciaf.2020.e00282] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
|
10
|
Hantrakun V, Kongyu S, Klaytong P, Rongsumlee S, Day NPJ, Peacock SJ, Hinjoy S, Limmathurotsakul D. Clinical Epidemiology of 7126 Melioidosis Patients in Thailand and the Implications for a National Notifiable Diseases Surveillance System. Open Forum Infect Dis 2019; 6:ofz498. [PMID: 32083145 PMCID: PMC7020769 DOI: 10.1093/ofid/ofz498] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Accepted: 11/17/2019] [Indexed: 12/14/2022] Open
Abstract
Background National notifiable diseases surveillance system (NNDSS) data in developing countries are usually incomplete, yet the total number of fatal cases reported is commonly used in national priority-setting. Melioidosis, an infectious disease caused by Burkholderia pseudomallei, is largely underrecognized by policy-makers due to the underreporting of fatal cases via the NNDSS. Methods Collaborating with the Epidemiology Division (ED), Ministry of Public Health (MoPH), we conducted a retrospective study to determine the incidence and mortality of melioidosis cases already identified by clinical microbiology laboratories nationwide. A case of melioidosis was defined as a patient with any clinical specimen culture positive for B. pseudomallei. Routinely available microbiology and hospital databases of secondary care and tertiary care hospitals, the national death registry, and NNDSS data were obtained for analysis. Results A total of 7126 culture-confirmed melioidosis patients were identified from 2012 to 2015 in 60 hospitals countrywide. The total number of cases diagnosed in Northeast, Central, South, East, North, and West Thailand were 5475, 536, 374, 364, 358, and 19 cases, respectively. The overall 30-day mortality was 39% (2805/7126). Only 126 (4%) deaths were reported to the NNDSS. Age, presentation with bacteremia and pneumonia, prevalence of diabetes, and 30-day mortality differed by geographical region (all P < .001). The ED at MoPH has agreed to include the findings of our study in the next annual report of the NNDSS. Conclusions Melioidosis is an important cause of death in Thailand nationwide, and its clinical epidemiology may be different by region. In developing countries, NNDSS data can be supplemented by integrating information from readily available routine data sets.
Collapse
Affiliation(s)
- Viriya Hantrakun
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Somkid Kongyu
- Epidemiology Division, Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand
| | - Preeyarach Klaytong
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Sittikorn Rongsumlee
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Nicholas P J Day
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.,Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, Old Road Campus, University of Oxford, Oxford, United Kingdom
| | - Sharon J Peacock
- Department of Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Soawapak Hinjoy
- Epidemiology Division, Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand.,Office of International Cooperation, Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand
| | - Direk Limmathurotsakul
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.,Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, Old Road Campus, University of Oxford, Oxford, United Kingdom.,Department of Tropical Hygiene, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| |
Collapse
|
11
|
Kruse C, Betancourt J, Ortiz S, Valdes Luna SM, Bamrah IK, Segovia N. Barriers to the Use of Mobile Health in Improving Health Outcomes in Developing Countries: Systematic Review. J Med Internet Res 2019; 21:e13263. [PMID: 31593543 PMCID: PMC6811771 DOI: 10.2196/13263] [Citation(s) in RCA: 134] [Impact Index Per Article: 26.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2018] [Revised: 04/15/2019] [Accepted: 06/25/2019] [Indexed: 01/08/2023] Open
Abstract
Background The use of mobile health (mHealth) technologies to improve population-level health outcomes around the world has surged in the last decade. Research supports the use of mHealth apps to improve health outcomes such as maternal and infant mortality, treatment adherence, immunization rates, and prevention of communicable diseases. However, developing countries face significant barriers to successfully implement, sustain, and expand mHealth initiatives to improve the health of vulnerable populations. Objective We aimed to identify and synthesize barriers to the use of mHealth technologies such as text messaging (short message service [SMS]), calls, and apps to change and, where possible, improve the health behaviors and health outcomes of populations in developing countries. Methods We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist. Deriving search criteria from the review’s primary objective, we searched PubMed and CINAHL using an exhaustive terms search (eg, mHealth, text messaging, and developing countries, with their respective Medical Subject Headings) limited by publication date, English language, and full text. At least two authors thoroughly reviewed each article’s abstract to verify the articles were germane to our objective. We then applied filters and conducted consensus meetings to confirm that the articles met the study criteria. Results Review of 2224 studies resulted in a final group of 30 articles for analysis. mHealth initiatives were used extensively worldwide for applications such as maternal health, prenatal care, infant care, HIV/AIDS prevention, treatment adherence, cardiovascular disease, diabetes, and health education. Studies were conducted in several developing countries in Africa, Asia, and Latin America. From each article, we recorded the specific health outcome that was improved, mHealth technology used, and barriers to the successful implementation of the intervention in a developing country. The most prominent health outcomes improved with mHealth were infectious diseases and maternal health, accounting for a combined 20/30 (67%) of the total studies in the analysis. The most frequent mHealth technology used was SMS, accounting for 18/30 (60%) of the studies. We identified 73 individual barriers and grouped them into 14 main categories. The top 3 barrier categories were infrastructure, lack of equipment, and technology gap, which together accounted for 28 individual barriers. Conclusions This systematic review shed light on the most prominent health outcomes that can be improved using mHealth technology interventions in developing countries. The barriers identified will provide leaders of future intervention projects a solid foundation for their design, thus increasing the chances for long-term success. We suggest that, to overcome the top three barriers, project leaders who wish to implement mHealth interventions must establish partnerships with local governments and nongovernmental organizations to secure funding, leadership, and the required infrastructure.
Collapse
Affiliation(s)
- Clemens Kruse
- School of Health Administration, Texas State University, San Marcos, TX, United States
| | - Jose Betancourt
- School of Health Administration, Texas State University, San Marcos, TX, United States
| | - Stephanie Ortiz
- School of Health Administration, Texas State University, San Marcos, TX, United States
| | | | - Inderdeep Kaur Bamrah
- School of Health Administration, Texas State University, San Marcos, TX, United States
| | - Narce Segovia
- School of Health Administration, Texas State University, San Marcos, TX, United States
| |
Collapse
|
12
|
Nagbe T, Naiene JD, Rude JM, Mahmoud N, Kromah M, Sesay J, Chukwudi OJ, Stephen M, Talisuna A, Yahaya AA, Rajatonirina S, Fallah M, Nyenswah T, Dahn B, Gasasira A, Fall IS. The implementation of integrated disease surveillance and response in Liberia after Ebola virus disease outbreak 2015-2017. Pan Afr Med J 2019; 33:3. [PMID: 31404272 PMCID: PMC6675929 DOI: 10.11604/pamj.supp.2019.33.2.16820] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2018] [Accepted: 02/22/2019] [Indexed: 11/11/2022] Open
Abstract
INTRODUCTION Although Liberia adapted the integrated diseases surveillance and response (IDSR) in 2004 as a platform for implementation of International Health Regulation (IHR (2005)), IDSR was not actively implemented until 2015. Some innovations and best practices were observed during the implementation of IDSR in Liberia after Ebola virus disease outbreak. This paper describes the different approaches used for implementation of IDSR in Liberia from 2015 to 2017. METHODS We conducted a cross-sectional study using the findings from IDSR supervisions conducted from September to November 2017 and perused the outbreaks linelists submitted by the counties to the national level from January to December 2017 and key documents available at the national level. RESULTS In 2017, the country piloted the use of mobile phones application to store and send data from the health facilities to the national level. In addition, an electronic platform for acute flaccid paralysis (AFP) surveillance called Auto-Visual AFP Detection and Reporting (AVADAR) was piloted in Montserrado County during the first semester of 2017. The timeliness and completeness of reports submitted from the counties to national level were above the target of 80% stable despite the challenges like insufficient resources, including skilled staff. CONCLUSION IDSR is being actively implemented in Liberia since 2015. Although the country is facing the same challenges as other countries during the early stages of implementation of IDSR, the several innovations were implemented in a short time. The surveillance system reveled to be resilient, despite the challenges.
Collapse
Affiliation(s)
- Thomas Nagbe
- National Public Health Institute, Monrovia, Liberia
| | | | | | | | | | | | | | - Mary Stephen
- World Health Organization, Regional Office for Africa, Brazzaville, Congo
| | - Ambrose Talisuna
- World Health Organization, Regional Office for Africa, Brazzaville, Congo
| | - Ali Ahmed Yahaya
- World Health Organization, Regional Office for Africa, Brazzaville, Congo
| | | | | | | | | | | | - Ibrahima Socé Fall
- World Health Organization, Regional Office for Africa, Brazzaville, Congo
| |
Collapse
|
13
|
Magumba MA, Nabende P, Mwebaze E. Design Choices for Automated Disease Surveillance in the Social Web. Online J Public Health Inform 2018; 10:e214. [PMID: 30349632 PMCID: PMC6194101 DOI: 10.5210/ojphi.v10i2.9312] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
The social web has emerged as a dominant information architecture accelerating technology innovation on an unprecedented scale. The utility of these developments to public health use cases like disease surveillance, information dissemination, outbreak prediction and so forth has been widely investigated and variously demonstrated in work spanning several published experimental studies and deployed systems. In this paper we provide an overview of automated disease surveillance efforts based on the social web characterized by their different high level design choices regarding functional aspects like user participation and language parsing approaches. We briefly discuss the technical rationale and practical implications of these different choices in addition to the key limitations associated with these systems within the context of operable disease surveillance. We hope this can offer some technical guidance to multi-disciplinary teams on how best to implement, interpret and evaluate disease surveillance programs based on the social web.
Collapse
Affiliation(s)
- Mark Abraham Magumba
- Department of Information Systems, Makerere
University Uganda, College of Computing and Information Sciences
| | - Peter Nabende
- Department of Information Systems, Makerere
University Uganda, College of Computing and Information Sciences
| | - Ernest Mwebaze
- Department of Computer Science, Makerere University
Uganda, College of Computing and Information Sciences
| |
Collapse
|
14
|
Eze E, Gleasure R, Heavin C. Mobile health solutions in developing countries: a stakeholder perspective. Health Syst (Basingstoke) 2018; 9:179-201. [PMID: 32939258 PMCID: PMC7476488 DOI: 10.1080/20476965.2018.1457134] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Revised: 02/07/2018] [Accepted: 03/20/2018] [Indexed: 10/17/2022] Open
Abstract
Infrastructural deficiencies, limited access to medical care, and shortage of health care workers are just a few of the barriers to health care in developing countries. mHealth has the potential to overcome at least some of these challenges. To address this, a stakeholder perspective is adopted and an analysis of existing research is undertaken to look at mHealth delivery in developing countries. This study focuses on four key stakeholder groups i.e., health care workers, patients, system developers, and facilitators. A systematic review identifies 108 peer-reviewed articles, which are analysed to determine the extent these articles investigate the different types of stakeholder interactions, and to identify high-level themes emerging within these interactions. This analysis illustrates two key gaps. First, while interactions involving health care workers and/or patients have received significant attention, little research has looked at the role of patient-to-patient interactions. Second, the interactions between system developers and the other stakeholder groups are strikingly under-represented.
Collapse
|
15
|
Toda M, Zurovac D, Njeru I, Kareko D, Mwau M, Morita K. Health worker knowledge of Integrated Disease Surveillance and Response standard case definitions: a cross-sectional survey at rural health facilities in Kenya. BMC Public Health 2018; 18:146. [PMID: 29343225 PMCID: PMC5772726 DOI: 10.1186/s12889-018-5028-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2017] [Accepted: 01/03/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The correct knowledge of standard case definition is necessary for frontline health workers to diagnose suspected diseases across Africa. However, surveillance evaluations commonly assume this prerequisite. This study assessed the knowledge of case definitions for health workers and their supervisors for disease surveillance activities in rural Kenya. METHODS A cross-sectional survey including 131 health workers and their 11 supervisors was undertaken in two counties in Kenya. Descriptive analysis was conducted to classify the correctness of knowledge into four categories for three tracer diseases (dysentery, measles, and dengue). We conducted a univariate and multivariable logistic regression analyses to explore factors influencing knowledge of the case definition for dysentery. RESULTS Among supervisors, 81.8% knew the correct definition for dysentery, 27.3% for measles, and no correct responses were provided for dengue. Correct knowledge was observed for 50.4% of the health workers for dysentery, only 12.2% for measles, and none for dengue. Of 10 examined factors, the following were significantly associated with health workers' correct knowledge of the case definition for dysentery: health workers' cadre (aOR 2.71; 95% CI 1.20-6.12; p = 0.017), and display of case definition poster (aOR 2.24; 95% CI 1.01-4.98; p = 0.048). Health workers' exposure to the surveillance refresher training, supportive supervision and guidelines were not significantly associated with the knowledge. CONCLUSION The correct knowledge of standard case definitions was sub-optimal among health workers and their supervisors, which is likely to impact the reliability of routine surveillance reports generated from health facilities.
Collapse
Affiliation(s)
- Mitsuru Toda
- Nagasaki University Institute of Tropical Medicine, KEMRI-NUITM, Kenyatta Hospital Grounds, Nairobi, Kenya.
| | - Dejan Zurovac
- Oxford University, Oxford, UK.,Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya
| | - Ian Njeru
- Kenya Ministry of Health Disease Surveillance and Response Unit, Nairobi, Kenya
| | - David Kareko
- Kenya Ministry of Health Disease Surveillance and Response Unit, Nairobi, Kenya
| | - Matilu Mwau
- Kenya Medical Research Institute, Nairobi, Kenya
| | - Kouichi Morita
- Nagasaki University Institute of Tropical Medicine, Nagasaki, Japan
| |
Collapse
|
16
|
Toda M, Njeru I, Zurovac D, Kareko D, O-Tipo S, Mwau M, Morita K. Understanding mSOS: A qualitative study examining the implementation of a text-messaging outbreak alert system in rural Kenya. PLoS One 2017. [PMID: 28628629 PMCID: PMC5476271 DOI: 10.1371/journal.pone.0179408] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Outbreaks of epidemic diseases pose serious public health risks. To overcome the hurdles of sub-optimal disease surveillance reporting from the health facilities to relevant authorities, the Ministry of Health in Kenya piloted mSOS (mobile SMS-based disease outbreak alert system) in 2013-2014. In this paper, we report the results of the qualitative study, which examined factors that influence the performances of mSOS implementation. In-depth interviews were conducted with 11 disease surveillance coordinators and 32 in-charges of rural health facilities that took part in the mSOS intervention. Drawing from the framework analysis, dominant themes that emerged from the interviews are presented. All participants voiced their excitement in using mSOS. The results showed that the technology was well accepted, easy to use, and both health workers and managers unanimously recommended the scale-up of the system despite challenges encountered in the implementation processes. The most challenging components were the context in which mSOS was implemented, including the lack of strong existing structure for continuous support supervision, feedback and response action related to disease surveillance. The study revealed broader health systems issues that should be addressed prior to and during the intervention scale-up.
Collapse
Affiliation(s)
- Mitsuru Toda
- Nagasaki University Institute of Tropical Medicine, Nagasaki, Japan
- Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
- Japan International Cooperation Agency (JICA), Tokyo, Japan
- * E-mail:
| | - Ian Njeru
- Kenya Ministry of Health Disease Surveillance and Response Unit, Nairobi, Kenya
| | - Dejan Zurovac
- Oxford University, Oxford, United Kingdom
- Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya
| | - David Kareko
- Kenya Ministry of Health Disease Surveillance and Response Unit, Nairobi, Kenya
| | - Shikanga O-Tipo
- Kenya Ministry of Health Disease Surveillance and Response Unit, Nairobi, Kenya
| | - Matilu Mwau
- Kenya Medical Research Institute, Nairobi, Kenya
| | - Kouichi Morita
- Nagasaki University Institute of Tropical Medicine, Nagasaki, Japan
| |
Collapse
|