Systematic review of health data quality management and best practices at community and district levels in LMIC

Ndabarora, Eléazar; Chipps, Jennifer; Uys, Leana R.

doi:10.1177/0266666913477430

Cited by 74 publications

(66 citation statements)

References 38 publications

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“…10 A summary of English studies are shown in Table 1. The framework for managing the quality of university educational information was evaluated, based on the literature, in 5 main categories of information quality and its importance, characteristics of information quality, a comparative study of the models of DQM, improving information quality and university policies about DQ.…”

Section: Resultsmentioning

confidence: 99%

A Framework for Quality Management of University Educational Information: A Review Study

Tahvildarzadeh¹,

Moghaddasi²,

Hosseini³

2017

Res Dev Med Edu

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IntroductionInformation is a critical investment for universities. 1 The constant challenge for any organization that generates statistical information is to ensure that their information quality is appropriate for their intended applications. 2 Data quality (DQ) is an essential element, "in spite of their expenditures on information technology, many organizations still do not have the accurate, timely, and useful data they require for effective operations and decision-making, and the problems of DQ are increasing practically. " 3 The accessibility, reliability, consistency and relevance of the data that supports information systems are essential to its use and effectiveness in university settings. 4 Ahmadi et al determined 669 information requirements by distributing questionnaires among the managers of the Deputy of Treatment. According to their results, 56% of the information requirements had no specific sources; hence, it was recommended to first evaluate the existing information system of the medical sciences universities and then, by concentrating all of the affairs of the university's information management under one unit's supervision, it would become possible to manage and eliminate parallel works under different deputies. AbstractBackground: By addressing the challenges of managing academic information, especially in the field of education, designing a framework as an organized structure for managing the quality of academic educational information is necessary. The framework for quality management of university educational information has received little attention so far and all of its aspects have not been elaborated comprehensively. This study has reviewed related literature. Methods: In this review paper, the databases such as Web of Science, Scopus and Irandoc were searched for valid English and Persian articles from 1995 to 2017 using keywords or a combination of keywords such as "information quality management". After reviewing the printed references, 48 relevant cases were selected. No limitations were applied in the selection of articles and sources in terms of their types. There are no in-press or personal communication sources. The review was conducted at all of the three steps of information management.Results: Four aspects of data quality (DQ) were identified: intrinsic, contextual, representational and accessibility. Information quality is the main process of information management. The framework for quality management of university educational information was recognized in five main categories: the information quality and its necessity, the features of information quality, comparative study on the models of data quality management (DQM), improving information quality and university policies about DQ. Conclusion: Quality management of university educational information is an effective step toward continuous improvement of DQ and can pave the way for information and academic managers while facing the current changing environment in the future issues.

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Section: Resultsmentioning

confidence: 99%

A Framework for Quality Management of University Educational Information: A Review Study

Tahvildarzadeh¹,

Moghaddasi²,

Hosseini³

2017

Res Dev Med Edu

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“…We believe this is an impressive capture rate, especially given the previously documented challenges with health records utilisation and management in sub-Saharan countries. [24][25][26] Furthermore, interobserver agreement among data abstractors was high, with the calculated Cohen's κ value representing 'almost perfect' agreement according to the classification of Landis and Koch. 14 Nearly 30% of children were tested for HIV either in the ED or in the inpatient setting.…”

Section: Discussionmentioning

confidence: 99%

HIV counselling and testing practices for children seen in an urban emergency department of a tertiary referral hospital in Dar es Salaam, Tanzania: a retrospective cross-sectional study

et al. 2016

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ObjectivesTo describe the HIV counselling and testing practices for children presenting to an emergency department (ED) in a low-income country.SettingThe ED of a large east African national referral hospital.ParticipantsThis retrospective review of all paediatric (<18 years old) ED visits in 2012 enrolled patients who had an HIV test ordered and excluded those without testing. Files were available for 5540/5774 (96%) eligible patients and 1632 (30%) were tested for HIV, median age 1.3 years (IQR 9 months to 4 years), 58% <18 months old and 61% male.Primary and secondary outcome measuresThe primary outcome measure was documentation of pretest and post-test counselling, or deferral of counselling, for children tested for HIV in the ED. Secondary measures included the overall rate of HIV testing, rate of counselling documented in the inpatient record when deferred in the ED, rate of counselling documented when testing was initiated by the inpatient service, rate of counselling documented by test result (positive vs negative) and the rate of referral to follow-up HIV care among patients testing positive.ResultsOf 418 patients tested in the ED, counselling, or deferral of counselling, was documented for 70 (17%). When deferred to the ward, subsequent counselling was documented for 15/42 (36%). Counselling was documented in 33% of patients testing positive versus 1.1% patients testing negative (OR 43 (95% CI 23 to 83). Of 199 patients who tested positive and survived to hospital discharge, 76 (38%) were referred for follow-up at the HIV clinic on discharge.ConclusionsPhysicians documented the provision, or deferral, of counselling for <20% of children tested for HIV in the ED. Counselling was much more likely to be documented when the test result was positive. Less than 40% of those testing positive were referred for follow-up care.

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“…In a systematic review of health data quality in LMICs, investigators identified multiple critical weaknesses, including missing data, unreliable clinical information entered into electronic records, problems with timeliness, and limited accessibility. 92 One important challenge to the development of scalable, sustainable mHealth services is the limited infrastructure for training and supporting the workforce in LMICs with skills in health informatics. 93 Several programs for building the needed human capital have been launched, with support by the US Fogarty International Center, the Bill and Melinda Gates Foundation, and the American Medical Informatics Association.…”

Section: Discussionmentioning

confidence: 99%

Personal health technology: A new era in cardiovascular disease prevention

Franklin

Lavie

Arena

2015

Postgraduate Medicine

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We examined evidence on whether mobile health (mHealth) tools, including Interactive Voice Response (IVR) calls, short message service (SMS) or text messaging, and smartphones, can improve lifestyle behaviors and management related to cardiovascular diseases throughout the world. We conducted a state-of-the-art review and literature synthesis of peer-reviewed and grey literature published since 2004. The review prioritized randomized trials and studies focused on cardiovascular diseases and risk factors, but included other reports when they represented the best available evidence. The search emphasized reports on the potential benefits of mHealth interventions implemented in low- and middle-income countries (LMICs). IVR and SMS interventions can improve cardiovascular preventive care in developed countries by addressing risk factors including weight, smoking, and physical activity. IVR and SMS-based interventions for cardiovascular disease management also have shown benefits with respect to hypertension management, hospital readmissions, and diabetic glycemic control. Multi-modal interventions including web-based communication with clinicians and mHealth-enabled clinical monitoring with feedback also have shown benefits. The evidence regarding the potential benefits of interventions using smartphones and social media is still developing. Studies of mHealth interventions have been conducted in more than 30 LMICs, and evidence to date suggests that programs are feasible and may improve medication adherence and disease outcomes. Emerging evidence suggests that mHealth interventions may improve cardiovascular-related lifestyle behaviors and disease management. Next generation mHealth programs developed worldwide should be based on evidence-based behavioral theories and incorporate advances in artificial intelligence for adapting systems automatically to patients’ unique and changing needs.

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Systematic review of health data quality management and best practices at community and district levels in LMIC

Cited by 74 publications

References 38 publications

A Framework for Quality Management of University Educational Information: A Review Study

A Framework for Quality Management of University Educational Information: A Review Study

HIV counselling and testing practices for children seen in an urban emergency department of a tertiary referral hospital in Dar es Salaam, Tanzania: a retrospective cross-sectional study

Personal health technology: A new era in cardiovascular disease prevention

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