A computer-based medical record system and personal digital assistants to assess and follow patients with respiratory tract infections visiting a rural Kenyan health centre

Design and development of a mobile-based patient management and information system for infectious disease outbreaks in low resource environments

BACKGROUND

The design of Patient Management and Information Systems during outbreaks of highly infectious diseases in low resource environments poses special challenges. Such systems necessitate special functional and design requirements to support patient care under austere conditions. A primary concern is to minimize spread of the disease to caregivers and non-infected individuals. Patient management in these conditions requires the design and development of systems customized for complex patient and caregiver workflows.

OBJECTIVE

Design and develop a Patient Management and Information System for healthcare facilities on the frontlines of outbreaks of highly infectious diseases in low resource environments.

METHODS

A team composed of clinicians with experience in Ebola care in affected areas of Africa and informaticians developed detailed hardware, software and functionality requirements. These were translated into hardware designs, software architectures, screen and interface designs and implemented using Common Off-The-Shelf hardware. An experimental app development system was used to develop mHealth software modules.

RESULTS

The system was developed and implemented as a proof of concept. Acceptance testing showed that the system met functionality requirements.

CONCLUSION

Useful Patient Management and Information systems can be developed and implemented for frontline use in low-resource environments during outbreaks of highly infectious diseases.

Evaluation of Electronic and Paper-Pen Data Capturing Tools for Data Quality in a Public Health Survey in a Health and Demographic Surveillance Site, Ethiopia: Randomized Controlled Crossover Health Care Information Technology Evaluation

BACKGROUND

Periodic demographic health surveillance and surveys are the main sources of health information in developing countries. Conducting a survey requires extensive use of paper-pen and manual work and lengthy processes to generate the required information. Despite the rise of popularity in using electronic data collection systems to alleviate the problems, sufficient evidence is not available to support the use of electronic data capture (EDC) tools in interviewer-administered data collection processes.

OBJECTIVE

This study aimed to compare data quality parameters in the data collected using mobile electronic and standard paper-based data capture tools in one of the health and demographic surveillance sites in northwest Ethiopia.

METHODS

A randomized controlled crossover health care information technology evaluation was conducted from May 10, 2016, to June 3, 2016, in a demographic and surveillance site. A total of 12 interviewers, as 2 individuals (one of them with a tablet computer and the other with a paper-based questionnaire) in 6 groups were assigned in the 6 towns of the surveillance premises. Data collectors switched the data collection method based on computer-generated random order. Data were cleaned using a MySQL program and transferred to SPSS (IBM SPSS Statistics for Windows, Version 24.0) and R statistical software (R version 3.4.3, the R Foundation for Statistical Computing Platform) for analysis. Descriptive and mixed ordinal logistic analyses were employed. The qualitative interview audio record from the system users was transcribed, coded, categorized, and linked to the International Organization for Standardization 9241-part 10 dialogue principles for system usability. The usability of this open data kit-based system was assessed using quantitative System Usability Scale (SUS) and matching of qualitative data with the isometric dialogue principles.

RESULTS

From the submitted 1246 complete records of questionnaires in each tool, 41.89% (522/1246) of the paper and pen data capture (PPDC) and 30.89% (385/1246) of the EDC tool questionnaires had one or more types of data quality errors. The overall error rates were 1.67% and 0.60% for PPDC and EDC, respectively. The chances of more errors on the PPDC tool were multiplied by 1.015 for each additional question in the interview compared with EDC. The SUS score of the data collectors was 85.6. In the qualitative data response mapping, EDC had more positive suitability of task responses with few error tolerance characteristics.

CONCLUSIONS

EDC possessed significantly better data quality and efficiency compared with PPDC, explained with fewer errors, instant data submission, and easy handling. The EDC proved to be a usable data collection tool in the rural study setting. Implementation organization needs to consider consistent power source, decent internet connection, standby technical support, and security assurance for the mobile device users for planning full-fledged implementation and integration of the system in the surveillance site.

Assessing the feasibility of eHealth and mHealth: a systematic review and analysis of initiatives implemented in Kenya

BACKGROUND

The growth of Information and Communication Technology in Kenya has facilitated implementation of a large number of eHealth projects in a bid to cost-effectively address health and health system challenges. This systematic review aims to provide a situational analysis of eHealth initiatives being implemented in Kenya, including an assessment of the areas of focus and geographic distribution of the health projects. The search strategy involved peer and non-peer reviewed sources of relevant information relating to projects under implementation in Kenya. The projects were examined based on strategic area of implementation, health purpose and focus, geographic location, evaluation status and thematic area.

RESULTS

A total of 114 citations comprising 69 eHealth projects fulfilled the inclusion criteria. The eHealth projects included 47 mHealth projects, 9 health information system projects, 8 eLearning projects and 5 telemedicine projects. In terms of projects geographical distribution, 24 were executed in Nairobi whilst 15 were designed to have a national coverage but only 3 were scaled up. In terms of health focus, 19 projects were mainly on primary care, 17 on HIV/AIDS and 11 on maternal and child health (MNCH). Only 8 projects were rigorously evaluated under randomized control trials.

CONCLUSION

This review discovered that there is a myriad of eHealth projects being implemented in Kenya, mainly in the mHealth strategic area and focusing mostly on primary care and HIV/AIDs. Based on our analysis, most of the projects were rarely evaluated. In addition, few projects are implemented in marginalised areas and least urbanized counties with more health care needs, notwithstanding the fact that adoption of information and communication technology should aim to improve health equity (i.e. improve access to health care particularly in remote parts of the country in order to reduce geographical inequities) and contribute to overall health systems strengthening.

Using Mobile Health (mHealth) and geospatial mapping technology in a mass campaign for reactive oral cholera vaccination in rural Haiti

Background

In mass vaccination campaigns, large volumes of data must be managed efficiently and accurately. In a reactive oral cholera vaccination (OCV) campaign in rural Haiti during an ongoing epidemic, we used a mobile health (mHealth) system to manage data on 50,000 participants in two isolated communities.

Methods

Data were collected using 7-inch tablets. Teams pre-registered and distributed vaccine cards with unique barcodes to vaccine-eligible residents during a census in February 2012. First stored on devices, data were uploaded nightly via Wi-fi to a web-hosted database. During the vaccination campaign between April and June 2012, residents presented their cards at vaccination posts and their barcodes were scanned. Vaccinee data from the census were pre-loaded on tablets to autopopulate the electronic form. Nightly analysis of the day's community coverage informed the following day's vaccination strategy. We generated case-finding reports allowing us to identify those who had not yet been vaccinated.

Results

During 40 days of vaccination, we collected approximately 1.9 million pieces of data. A total of 45,417 people received at least one OCV dose; of those, 90.8% were documented to have received 2 doses. Though mHealth required up-front financial investment and training, it reduced the need for paper registries and manual data entry, which would have been costly, time-consuming, and is known to increase error. Using Global Positioning System coordinates, we mapped vaccine posts, population size, and vaccine coverage to understand the reach of the campaign. The hardware and software were usable by high school-educated staff.

Conclusion

The use of mHealth technology in an OCV campaign in rural Haiti allowed timely creation of an electronic registry with population-level census data, and a targeted vaccination strategy in a dispersed rural population receiving a two-dose vaccine regimen. The use of mHealth should be strongly considered in mass vaccination campaigns in future initiatives.

The World Health Organization (WHO) recently endorsed the creation of a global oral cholera vaccine (OCV) stockpile as part of an integrated, strategic framework to address the re-emerging threat that cholera causes worldwide. In conjunction, the WHO also called for continued monitoring and evaluation around the use of OCV in different settings. In response to the cholera epidemic in Haiti that began in October 2010, Partners In Health, an implementing partner of Haiti's Ministry of Health, vaccinated 50,000 Haitians in two rural communities in the Artibonite Valley in 2012. In this paper, the authors describe the use of mobile health (mHealth) technology for data collection and geospatial mapping to document this rural OCV campaign, focusing on the utility, benefits, and challenges of mHealth in a reactive campaign in the midst of the ongoing epidemic.

Mobile technologies and geographic information systems to improve health care systems: a literature review

Background

A growing body of research has employed mobile technologies and geographic information systems (GIS) for enhancing health care and health information systems, but there is yet a lack of studies of how these two types of systems are integrated together into the information infrastructure of an organization so as to provide a basis for data analysis and decision support. Integration of data and technical systems across the organization is necessary for efficient large-scale implementation.

Objective

The aim of this paper is to identify how mobile technologies and GIS applications have been used, independently as well as in combination, for improving health care.

Methods

The electronic databases PubMed, BioMed Central, Wiley Online Library, Scopus, Science Direct, and Web of Science were searched to retrieve English language articles published in international academic journals after 2005. Only articles addressing the use of mobile or GIS technologies and that met a prespecified keyword strategy were selected for review.

Results

A total of 271 articles were selected, among which 220 concerned mobile technologies and 51 GIS. Most articles concern developed countries (198/271, 73.1%), and in particular the United States (81/271, 29.9%), United Kingdom (31/271, 11.4%), and Canada (14/271, 5.2%). Applications of mobile technologies can be categorized by six themes: treatment and disease management, data collection and disease surveillance, health support systems, health promotion and disease prevention, communication between patients and health care providers or among providers, and medical education. GIS applications can be categorized by four themes: disease surveillance, health support systems, health promotion and disease prevention, and communication to or between health care providers. Mobile applications typically focus on using text messaging (short message service, SMS) for communication between patients and health care providers, most prominently reminders and advice to patients. These applications generally have modest benefits and may be appropriate for implementation. Integration of health data using GIS technology also exhibit modest benefits such as improved understanding of the interplay of psychological, social, environmental, area-level, and sociodemographic influences on physical activity. The studies evaluated showed promising results in helping patients treating different illnesses and managing their condition effectively. However, most studies use small sample sizes and short intervention periods, which means limited clinical or statistical significance.

Conclusions

A vast majority of the papers report positive results, including retention rate, benefits for patients, and economic gains for the health care provider. However, implementation issues are little discussed, which means the reasons for the scarcity of large-scale implementations, which might be expected given the overwhelmingly positive results, are yet unclear. There is also little combination between GIS and mobile technologies. In order for health care processes to be effective they must integrate different kinds of existing technologies and data. Further research and development is necessary to provide integration and better understand implementation issues.

"These are good problems to have…": establishing a collaborative research partnership in East Africa

In the context of a long-term institutional 'twinning' partnership initiated by Indiana and Moi Universities more than 22 years ago, a vibrant program of research has arisen and grown in size and stature. The history of the AMPATH (Academic Model Providing Access to Healthcare) Research Program is described, with its distinctive attention to Kenyan-North American equity, mutual benefit, policies that support research best practices, peer review within research working groups/cores, contributions to clinical care, use of healthcare informatics, development of research infrastructure and commitment to research workforce capacity. In the development and management of research within our partnership, we describe a number of significant challenges we have encountered that require ongoing attention, many of which are "good problems" occasioned by the program's success and growth. Finally, we assess the special value a partnership program like ours has created and end by affirming the importance of organizational diversity, solidarity of purpose, and resilience in the 'research enterprise.'

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

Research findings have reported lack of reliable health data and poor management for district health information systems in low and middle-income countries (LMIC). This paper aims to review the literature on problems with health data quality management and health information evidences and evidences of best practices and use at community and district levels in LMIC, with a view to making recommendations for future research. Research citations, conference proceedings and diseases surveillance reports from 2000–2011 were accessed in PubMed, Medline, LISTA (EBSCO), CINAHL, Cochrane, and Google. Relevant studies were selected, the methodologies critiqued and synthesized. The researchers accessed 1383, and 38 were reviewed by three reviewers. Poor quality health data, low level of health information use, and poor management of health information systems were found. These findings hinder evidence-based decisions based and planning at community and district levels in LMIC. Though poor practices were found, improved health care services delivery with improved health data efficiency was found to be possible.

Readiness assessment of electronic health records implementation

Introduction:

During the past 20 years, with huge advances in information technology and particularly, in the areas of health, various forms of electronic records have been discussed, designed or implemented. Although making health records automatically has many advantages but unfortunately in some cases, creation of an Electronic Health Record (EHR) system seems to be complicated. E-health (Electronic health) readiness assessment, as a part of the assessment before implementation is considered essential and prior to implementation. Readiness assessment aims to evaluate preparedness of each organizational component. This process can lead to the correct decision making. Therefore, identifying areas and requirements for such an assessment is so essential. Using the results of this assessment can identify deficiencies in the existing electronic health records to plan their strategies. The aim of this study was first; to show the situation of readiness assessment in EHR implementation roadmap, second, to recognize requirements associated with electronic readiness assessment and main areas of EHR readiness assessment.

Results and discussion:

This study reviewed the literature on EHR readiness assessment with the help of library and also searches engines available at Google. For our searches, we employed the following keywords and their combinations: readiness, assessment, implementation, Electronic Health Record (EHR), Information Technology, road map in the searching areas of title, keywords, abstract, and full text. In this study, more than 100 articles and reports were collected and 45 of them were selected based on their relevancy.

Replacing paper data collection forms with electronic data entry in the field: findings from a study of community-acquired bloodstream infections in Pemba, Zanzibar

BACKGROUND

Entering data on case report forms and subsequently digitizing them in electronic media is the traditional way to maintain a record keeping system in field studies. Direct data entry using an electronic device avoids this two-step process. It is gaining in popularity and has replaced the paper-based data entry system in many studies. We report our experiences with paper- and PDA-based data collection during a fever surveillance study in Pemba Island, Zanzibar, Tanzania.

METHODS

Data were collected on a 14-page case report paper form in the first period of the study. The case report paper forms were then replaced with handheld computers (personal digital assistants or PDAs). The PDAs were used for screening and clinical data collection, including a rapid assessment of patient eligibility, real time errors, and inconsistency checking.

RESULTS

A comparison of paper-based data collection with PDA data collection showed that direct data entry via PDA was faster and 25% cheaper. Data was more accurate (7% versus 1% erroneous data) and omission did not occur with electronic data collection. Delayed data turnaround times and late error detections in the paper-based system which made error corrections difficult were avoided using electronic data collection.

CONCLUSIONS

Electronic data collection offers direct data entry at the initial point of contact. It has numerous advantages and has the potential to replace paper-based data collection in the field. The availability of information and communication technologies for direct data transfer has the potential to improve the conduct of public health research in resource-poor settings.

Overview of the Most Important Open Source Software

In this chapter, the authors review software that enables the proper management of EHR. The different types of software share the feature of being open source and offer the best opportunity in health care to developing countries—an overall integrated approach. The authors analyze the main free software programs (technical features, programming languages, places for introduction, etc.). Then they focus on the description and the comparison of the three most important open source software programs EHR (OpenMRS, OpenVistA, and OpenEMR) that are installed on two operating systems (Linux Ubuntu and Windows). Finally, the authors show the results of the various parameters measured in these systems after using different Web browsers. The results show us how the three main EHR applications work depending on which operating system is installed and which web browser is used.

You have an important message! Evaluating the effectiveness of a text message HIV/AIDS campaign in Northwest Uganda

There is a growing interest in the effect of mobile phones in health care (mHealth) service delivery, but more research is needed to determine whether short message service (SMS)-based campaigns are appropriate for developing countries. This pilot study explored the efficacy of an mHealth campaign using SMS as a platform to disseminate and measure HIV/AIDS knowledge, and to promote HIV/AIDS testing at clinics in rural Uganda. Over a 1-month period, 13 HIV/AIDS quiz questions were sent to 10,000 mobile subscribers. Despite participation incentives, only one-fifth of the mobile subscribers responded to any of the questions. The campaign had proportionately limited success in increasing knowledge levels on a mass scale. Furthermore, the program design may be reinforcing entrenched knowledge gaps. The results suggest that it is important to be conservative when considering the potential overall effect of SMS-based programs. However, the authors recognize the potential of mHealth tools when extended to millions of mobile phone users as part of an integrated health campaign approach. The authors propose several steps to improve the program design to reach a larger portion of the intended audience and increase campaign effectiveness.

Patient-Held Maternal and/or Child Health Records: Meeting the Information Needs of Patients and Healthcare Providers in Developing Countries?

Though improvements in infant and maternal mortality rates have occurred over time, women and children still die every hour from preventable causes. Various regional, social and economic factors are involved in the ability of women and children to receive adequate care and prevention services. Patient-held maternal and/or child health records have been used for a number of years in many countries to help track health risks, vaccinations and other preventative health measures performed. Though these records are primarily designed to record patient histories and healthcare information and guide healthcare workers providing care, because the records are patient-held, they also allow families a greater ability to track their own health and prevention strategies. A LITERATURE SEARCH WAS PERFORMED TO ANSWER THESE QUESTIONS: (1) What are maternal information needs regarding pregnancy, post-natal and infant healthcare, especially in developing countries? (2) What is known about maternal information seeking behavior in developing countries? (3) What is the history and current state of maternal and/or child patient-held healthcare records, do they provide for the information needs of the healthcare provider and what are the effects and outcomes of patient-held records in general and for maternal and/or child health in particular? Specific information needs of pregnant women and mothers are rarely studied. The small numbers of maternal information behavior results available indicate that mothers, in general, prefer to receive health information directly from their healthcare provider as opposed to from other sources (written, etc.) Overall, in developing countries, patient-held maternal and/or child healthcare records have a mostly positive effect for both patient and care provider. Mothers and children with records tend to have better outcomes in healthcare and preventative measures. Further research into the information behaviors of pregnant women and mothers to determine the extent of reliance on interpersonal information seeking is recommended before expending significant resources on enhanced patient-held maternal and/or child healthcare records including storage on mobile devices. In particular, research is needed to explore the utility of providing targeted health messages to mothers regarding their own health and that of their children; this might best be accomplished through mobile technologies.

Mobile phone tools for field-based health care workers in low-income countries

In low-income regions, mobile phone-based tools can improve the scope and efficiency of field health workers. They can also address challenges in monitoring and supervising a large number of geographically distributed health workers. Several tools have been built and deployed in the field, but little comparison has been done to help understand their effectiveness. This is largely because no framework exists in which to analyze the different ways in which the tools help strengthen existing health systems. In this article we highlight 6 key functions that health systems currently perform where mobile tools can provide the most benefit. Using these 6 health system functions, we compare existing applications for community health workers, an important class of field health workers who use these technologies, and discuss common challenges and lessons learned about deploying mobile tools.

Mobile phone-based infectious disease surveillance system, Sri Lanka

Because many infectious diseases are emerging in animals in low-income and middle-income countries, surveillance of animal health in these areas may be needed for forecasting disease risks to humans. We present an overview of a mobile phone-based frontline surveillance system developed and implemented in Sri Lanka. Field veterinarians reported animal health information by using mobile phones. Submissions increased steadily over 9 months, with ≈4,000 interactions between field veterinarians and reports on the animal population received by the system. Development of human resources and increased communication between local stakeholders (groups and persons whose actions are affected by emerging infectious diseases and animal health) were instrumental for successful implementation. The primary lesson learned was that mobile phone-based surveillance of animal populations is acceptable and feasible in lower-resource settings. However, any system implementation plan must consider the time needed to garner support for novel surveillance methods among users and stakeholders.

Paperless registration during survey enumerations and large oral cholera mass vaccination in Zanzibar, the United Republic of Tanzania

PROBLEM

Field trials require extensive data preparation and complex logistics. The use of personal digital assistants (PDAs) can bypass many of the traditional steps that are necessary in a paper-based data entry system.

APPROACH

We programmed, designed and supervised the use of PDAs for a large survey enumeration and mass vaccination campaign.

LOCAL SETTING

The project was implemented in Zanzibar in the United Republic of Tanzania. Zanzibar is composed of two main islands, Unguja and Pemba, where outbreaks of cholera have been reported since the 1970s.

RELEVANT CHANGES

PDAs allowed us to digitize information at the initial point of contact with the respondents. Immediate response by the system in case of error helped ensure the quality and reliability of the data. PDAs provided quick data summaries that allowed subsequent research activities to be implemented in a timely fashion.

LESSONS LEARNT

Portability, immediate recording and linking of information enhanced structure data collection in our study. PDAs could be more useful than paper-based systems for data collection in the field, especially in impoverished settings in developing countries.

Perspectives on electronic medical records adoption: electronic medical records (EMR) in outcomes research

Health information technology (HIT) is engineered to promote improved quality and efficiency of care, and reduce medical errors. Healthcare organizations have made significant investments in HIT tools and the electronic medical record (EMR) is a major technological advance. The Department of Veterans Affairs was one of the first large healthcare systems to fully implement EMR. The Veterans Health Information System and Technology Architecture (VistA) began by providing an interface to review and update a patient's medical record with its computerized patient record system. However, since the implementation of the VistA system there has not been an overall substantial adoption of EMR in the ambulatory or inpatient setting. In fact, only 23.9% of physicians were using EMRs in their office-based practices in 2005. A sample from the American Medical Association revealed that EMRs were available in an office setting to 17% of physicians in late 2007 and early 2008. Of these, 17% of physicians with EMR, only 4% were considered to be fully functional EMR systems. With the exception of some large aggregate EMR databases the slow adoption of EMR has limited its use in outcomes research. This paper reviews the literature and presents the current status of and forces influencing the adoption of EMR in the office-based practice, and identifies the benefits, limitations, and overall value of EMR in the conduct of outcomes research in the US.

Rural hospital information technology implementation for safety and quality improvement: lessons learned

This grant involved a hospital collaborative for excellence using information technology over 3-year period. The project activities focused on the improvement of patient care safety and quality in Southern rural and small community hospitals through the use of technology and education. The technology component of the design involved the implementation of a Web-based business analytic tool that allows hospitals to view data, create reports, and analyze their safety and quality data. Through a preimplementation and postimplementation comparative design, the focus of the implementation team was twofold: to recruit participant hospitals and to implement the technology at each of the 66 hospital sites. Rural hospitals were defined as acute care hospitals located in a county with a population of less than 100 000 or a state-administered Critical Access Hospital, making the total study population target 188 hospitals. Lessons learned during the information technology implementation of these hospitals are reflective of the unique culture, financial characteristics, organizational structure, and technology architecture of rural hospitals. Specific steps such as recruitment, information technology assessment, conference calls for project planning, data file extraction and transfer, technology training, use of e-mail, use of telephones, personnel management, and engaging information technology vendors were found to vary greatly among hospitals.

[Mobile and digital documentation of inpatient treatments : use of personal digital assistants in addition with the ClinicCoach(c) software]

BACKGROUND

Documentation of the individual treatment course is essential from medical as well as economic and forensic aspects. With increasing hospital computerization the conventional hardcopy form of record keeping is seen to be associated with high outlays and restrictiveness.

METHODS

Clinicians engaged consistently in the development of a personal digital assistant (PDA)-based electronic record system (Clinic Coach(c)), which maps the entire course of inpatient treatments. The system's effectiveness was reviewed by means of a standardized questionnaire and analysis of 8,595 data sets relating to PPR and wound findings.

RESULTS

In patients undergoing surgery wound findings and PPR were documented in 83.6% and in 94.3% respectively. The ClinicCoach(c) System was rated more effective than paper-based documentation by 78.4% of the testing healthcare workers.

CONCLUSION

The combination of PDAs and ClinicCoach(c) is a reliable and to clinical routine well adapted system that allows digital documentation at the bedside.

Personal digital assistants to collect tuberculosis bacteriology data in Peru reduce delays, errors, and workload, and are acceptable to users: cluster randomized controlled trial

OBJECTIVES

To evaluate the effectiveness of a personal digital assistant (PDA)-based system for collecting tuberculosis test results and to compare this new system to the previous paper-based system. The PDA- and paper-based systems were evaluated based on processing times, frequency of errors, and number of work-hours expended by data collectors.

METHODS

We conducted a cluster randomized controlled trial in 93 health establishments in Peru. Baseline data were collected for 19 months. Districts (n=4) were then randomly assigned to intervention (PDA) or control (paper) groups, and further data were collected for 6 months. Comparisons were made between intervention and control districts and within-districts before and after the introduction of the intervention.

RESULTS

The PDA-based system had a significant effect on processing times (p<0.001) and errors (p=0.005). In the between-districts comparison, the median processing time for cultures was reduced from 23 to 8 days and for smears was reduced from 25 to 12 days. In that comparison, the proportion of cultures with delays >90 days was reduced from 9.2% to 0.1% and the number of errors was decreased by 57.1%. The intervention reduced the work-hours necessary to process results by 70% and was preferred by all users.

CONCLUSIONS

A well-designed PDA-based system to collect data from institutions over a large, resource-poor area can significantly reduce delays, errors, and person-hours spent processing data.

[From the creation to the appreciation of a personal digital assistant-based clinical decision-support system for the management of artificial nutrition]

OBJECTIVES

The aim of our study was to assess the effect of NutriPDA, a personal digital assistant (PDA)-based clinical decision-support system (CDSS) for the management of artificial nutrition. A CDSS was developed and implemented on a handheld computer for use in the ICU after cardiovascular and thoracic surgery.

STUDY DESIGN

System impact was assessed in a prospective "before/after" cohort trial.

METHODS

After informed consent we studied 61 patients in the postcardiovascular and thoracic surgery ICU (age > 17 years, duration of artificial nutrition > 3 days, length of stay > 8 days). Patients were divided into two groups (before and after the use of NutriPDA: Group A: 32 patients (4-month period in 2005); group B: 29 patients (4-month period in 2006).

RESULTS

There were no significant differences in anthropometric and clinical parameters between the 2 groups. Energetic intakes were < 80% of basal energetic expenditures in 21% and 1% of patients, respectively (P < 0.01). Caloric and nitrogen intakes were below international recommendation in Group A: 20+/-4 kcal/kg/d (mean+/-SD), 104+/-30 mg/kg/d, but not in Group B: 26+/-5 kcal/kg/d, 196+/-41 mg/kg/d (P < 0.01).

CONCLUSION

NutriPDA was found to be able to optimize artificial nutrition by improving caloric intake in ICU. This new software has potential clinical applications.

Integration of information technologies in clinical studies in Nicaragua

The authors report their experience of integrating information technologies in clinical and epidemiological studies of dengue infection in Nicaragua.

Responding to the HIV pandemic: the power of an academic medical partnership

Partnerships between academic medical center (AMCs) in North America and the developing world are uniquely capable of fulfilling the tripartite needs of care, training, and research required to address health care crises in the developing world. Moreover, the institutional resources and credibility of AMCs can provide the foundation to build systems of care with long-term sustainability, even in resource-poor settings. The authors describe a partnership between Indiana University School of Medicine and Moi University and Moi Teaching and Referral Hospital in Kenya that demonstrates the power of an academic medical partnership in its response to the HIV/AIDS pandemic in sub-Saharan Africa. Through the Academic Model for the Prevention and Treatment of HIV/AIDS, the partnership currently treats over 40,000 HIV-positive patients at 19 urban and rural sites in western Kenya, now enrolls nearly 2,000 new HIV positive patients every month, feeds up to 30,000 people weekly, enables economic security, fosters HIV prevention, tests more than 25,000 pregnant women annually for HIV, engages communities, and is developing a robust electronic information system. The partnership evolved from a program of limited size and a focus on general internal medicine into one of the largest and most comprehensive HIV/AIDS-control systems in sub-Saharan Africa. The partnership's rapid increase in scale, combined with the comprehensive and long-term approach to the region's health care needs, provides a twinning model that can and should be replicated to address the shameful fact that millions are dying of preventable and treatable diseases in the developing world.