Scope of policy issues in eHealth: results from a structured literature review

Background

eHealth is widely used as a tool for improving health care delivery and information. However, distinct policies and strategies are required for its proper implementation and integration at national and international levels.

Objective

To determine the scope of policy issues faced by individuals, institutions, or governments in implementing eHealth programs.

Methods

We conducted a structured review of both peer-reviewed and gray literature from 1998–2008. A Medline search for peer-reviewed articles found 40 papers focusing on different aspects of eHealth policy. In addition, a Google search found 20 national- and international-level policy papers and documents. We reviewed these articles to extract policy issues and solutions described at different levels of care.

Results

The literature search found 99 policy issues related to eHealth. We grouped these issues under the following themes: (1) networked care, (2) interjurisdictional practice, (3) diffusion of eHealth/digital divide, (4) eHealth integration with existing systems, (5) response to new initiatives, (6) goal-setting for eHealth policy, (7) evaluation and research, (8) investment, and (9) ethics in eHealth.

Conclusions

We provide a list of policy issues that should be understood and addressed by policy makers at global, jurisdictional, and institutional levels, to facilitate smooth and reliable planning of eHealth programs.     

Why business modeling is crucial in the development of eHealth technologies

The impact and uptake of information and communication technologies that support health care are rather low. Current frameworks for eHealth development suffer from a lack of fitting infrastructures, inability to find funding, complications with scalability, and uncertainties regarding effectiveness and sustainability. These issues can be addressed by defining a better implementation strategy early in the development of eHealth technologies. A business model, and thus business modeling, help to determine such an implementation strategy by involving all important stakeholders in a value-driven dialogue on what the technology should accomplish. This idea also seems promising to eHealth, as it can contribute to the whole development of eHealth technology. We therefore suggest that business modeling can be used as an effective approach to supporting holistic development of eHealth technologies. The contribution of business modeling is elaborated in this paper through a literature review that covers the latest business model research, concepts from the latest eHealth and persuasive technology research, evaluation and insights from our prior eHealth research, as well as the review conducted in the first paper of this series. Business modeling focuses on generating a collaborative effort of value cocreation in which all stakeholders reflect on the value needs of the others. The resulting business model acts as the basis for implementation. The development of eHealth technology should focus more on the context by emphasizing what this technology should contribute in practice to the needs of all involved stakeholders. Incorporating the idea of business modeling helps to cocreate and formulate a set of critical success factors that will influence the sustainability and effectiveness of eHealth technology.     

Knowledge,use and attitude toward eHealth among patients with chronic lung diseases

BackgroundDespite high expectations and numerous initiatives in the area of eHealth, implementation and use of eHealth applications on a national level is no common practice yet. There is no full understanding of patients’ attitude on eHealth yet. Aim of this study is to gain insight into the level of knowledge and experiences with eHealth of people with chronic lung diseases.MethodA telephone survey among 400 people with a medical diagnosis of asthma or COPD was conducted. All patients participated in the larger research program National Panel of people with Chronic diseases or Disabilities (NPCD) conducted by NIVEL.ResultsEight percent of the asthma and COPD patients knew of the term eHealth. Knowledge of specific eHealth applications (e.g. electronic medical record, electronic consultations, monitoring from a distance) was higher and ranged from 21 to 88%. Most available applications were used by less than 20% of the patients, although figures differ by age and educational level. People who have used applications were in general rather positive about their use. Non-users did not see clear advantages of using eHealth applications. A majority thought that eHealth decreases human contact in health care and will not contribute to a higher quality of care. On the contrary, almost half of the patients considered eHealth as a possibility to take more responsibility in their own care. Asthma and COPD patients were unanimous that the use of eHealth should always be a free choice.ConclusionAlthough most asthma and COPD patient know of one or more eHealth applications, actual use remains low. Patients who do have experience with the use of eHealth are on the whole positive. However, patients without experience have no clear ideas about the advantages. They should be convinced first, and stressing the possibilities for more personal control might be an important argument to persuade them.     

Issues in mHealth: Findings From Key Informant Interviews

Background

mHealth is enjoying considerable interest and private investment in the United States. A small but growing body of evidence indicates some promise in supporting healthy behavior change and self-management of long-term conditions. The unique benefits mobile phones bring to health initiatives, such as direct access to health information regardless of time or location, may create specific issues for the implementation of such initiatives. Other issues may be shared with general health information technology developments.

Objective

To determine the important issues facing the implementation of mHealth from the perspective of those within the US health system and those working in mHealth in the United States.

Methods

Semistructured interviews were conducted with 27 key informants from across the health and mHealth sectors in the United States. Interviewees were approached directly following an environmental scan of mHealth in the United States or recommendation by those working in mHealth.

Results

The most common issues were privacy and data security, funding, a lack of good examples of the efficacy and cost effectiveness of mHealth in practice, and the need for more high-quality research. The issues are outlined and categorized according to the environment within which they predominantly occur: policy and regulatory environments; the wireless industry; the health system; existing mHealth practice; and research.

Conclusions

Many of these issues could be addressed by making the most of the current US health reform environment, developing a strategic and coordinated approach, and seeking to improve mHealth practice.     

New directions in eHealth communication: Opportunities and challenges

Objective

This article reviews key communication issues involved in the design of effective and humane eHealth applications to help guide strategic development and implementation of health information technologies.

Background

There is a communication revolution brewing in the delivery of health care and the promotion of health fueled by the growth of powerful new health information technologies.

Conclusion

The development, adoption, and implementation of a broad range of new eHealth applications (such as online health information websites, interactive electronic health records, health decision support programs, tailored health education programs, health care system portals, mobile health communication programs, and advanced telehealth applications) holds tremendous promise to increase consumer and provider access to relevant health information, enhance the quality of care, reduce health care errors, increase collaboration, and encourage the adoption of healthy behaviors.

Practice implications

With the growth of new and exciting health information technology opportunities, however, comes the daunting responsibility to design interoperable, easy to use, engaging, and accessible eHealth applications that communicate the right information needed to guide health care and health promotion for diverse audiences.     

A logic model for precision medicine implementation informed by stakeholder views and implementation science

PurposePrecision medicine promises to improve patient outcomes, but much is unknown about its adoption within health-care systems. A comprehensive implementation plan is needed to realize its benefits.MethodsWe convened 80 stakeholders for agenda setting to inform precision medicine policy, delivery, and research. Conference proceedings were audio-recorded, transcribed, and thematically analyzed. We mapped themes representing opportunities, challenges, and implementation strategies to a logic model, and two implementation science frameworks provided context.ResultsThe logic model components included inputs: precision medicine infrastructure (clinical, research, and information technology), big data (from data sources to analytics), and resources (e.g., workforce and funding); activities: precision medicine research, practice, and education; outputs: precision medicine diagnosis; outcomes: personal utility, clinical utility, and health-care utilization; and impacts: precision medicine value, equity and access, and economic indicators. Precision medicine implementation challenges include evidence gaps demonstrating precision medicine utility, an unprepared workforce, the need to improve precision medicine access and reduce variation, and uncertain impacts on health-care utilization. Opportunities include integrated health-care systems, partnerships, and data analytics to support clinical decisions. Examples of implementation strategies to promote precision medicine are: changing record systems, data warehousing techniques, centralized technical assistance, and engaging consumers.ConclusionWe developed a theory-based, context-specific logic model that can be used by health-care organizations to facilitate precision medicine implementation.     

Implementation of eHealth Interventions Across the HIV Care Cascade: a Review of Recent Research

Purpose of Review

We review recent implementation science focusing on eHealth interventions to improve outcomes along the HIV care cascade. We highlight several gaps in the eHealth implementation literature and propose areas for future study.

Recent Findings

We identified 17 studies conducted in North America, Europe, and sub-Saharan Africa assessing the acceptability, appropriateness, adoption, cost, feasibility, fidelity, penetration, or sustainability of eHealth interventions targeting the HIV care cascade. Most interventions used SMS messages to improve cascade outcomes. Feasibility research has demonstrated the importance of adaptability for intervention scale-up and delivery. Key gaps in the literature remain related to predictors of the adoption of eHealth interventions by health facilities and staff. In addition, no studies explored sustainability and few used theoretical frameworks for implementation research or validated measures of implementation outcomes. We propose next steps for the future of eHealth implementation research to inform the delivery, scale-up, and maintenance of eHealth interventions in the real world.

     

Organizational issues in the implementation and adoption of health information technology innovations: An interpretative review

PurposeImplementations of health information technologies are notoriously difficult, which is due to a range of inter-related technical, social and organizational factors that need to be considered. In the light of an apparent lack of empirically based integrated accounts surrounding these issues, this interpretative review aims to provide an overview and extract potentially generalizable findings across settings.MethodsWe conducted a systematic search and critique of the empirical literature published between 1997 and 2010. In doing so, we searched a range of medical databases to identify review papers that related to the implementation and adoption of eHealth applications in organizational settings. We qualitatively synthesized this literature extracting data relating to technologies, contexts, stakeholders, and their inter-relationships.ResultsFrom a total body of 121 systematic reviews, we identified 13 systematic reviews encompassing organizational issues surrounding health information technology implementations. By and large, the evidence indicates that there are a range of technical, social and organizational considerations that need to be deliberated when attempting to ensure that technological innovations are useful for both individuals and organizational processes. However, these dimensions are inter-related, requiring a careful balancing act of strategic implementation decisions in order to ensure that unintended consequences resulting from technology introduction do not pose a threat to patients.ConclusionsOrganizational issues surrounding technology implementations in healthcare settings are crucially important, but have as yet not received adequate research attention. This may in part be due to the subjective nature of factors, but also due to a lack of coordinated efforts toward more theoretically-informed work. Our findings may be used as the basis for the development of best practice guidelines in this area.     

Security considerations for e-mental health interventions

Security considerations are an often overlooked and underfunded aspect of the development, delivery, and evaluation of e-mental health interventions although they are crucial to the overall success of any eHealth project. The credibility and reliability of eHealth scientific research and the service delivery of eHealth interventions rely on a high standard of data security. This paper describes some of the key methodological, technical, and procedural issues that need to be considered to ensure that eHealth research and intervention delivery meet adequate security standards. The paper concludes by summarizing broad strategies for addressing the major security risks associated with eHealth interventions. These include involving information technology (IT) developers in all stages of the intervention process including its development, evaluation, and ongoing delivery; establishing a wide-ranging discourse about relevant security issues; and familiarizing researchers and providers with the security measures that must be instituted in order to protect the integrity of eHealth interventions.     

An eHealth Application in Head and Neck Cancer Survivorship Care: Health Care Professionals' Perspectives

BackgroundAlthough many cancer survivors could benefit from supportive care, they often do not utilize such services. Previous studies have shown that patient-reported outcomes (PROs) could be a solution to meet cancer survivors’ needs, for example through an eHealth application that monitors quality of life and provides personalized advice and supportive care options. In order to develop an effective application that can successfully be implemented in current health care, it is important to include health care professionals in the development process.ObjectiveThe aim of this study was to investigate health care professionals’ perspectives toward follow-up care and an eHealth application, OncoKompas, in follow-up cancer care that monitors quality of life via PROs, followed by automatically generated tailored feedback and personalized advice on supportive care.MethodsHealth care professionals involved in head and neck cancer care (N=11) were interviewed on current follow-up care and the anticipated value of the proposed eHealth application (Step 1). A prototype of the eHealth application, OncoKompas, was developed (Step 2). Cognitive walkthroughs were conducted among health care professionals (N=21) to investigate perceived usability (Step 3). Interviews were recorded, transcribed verbatim, and analyzed by 2 coders.ResultsHealth care professionals indicated several barriers in current follow-up care including difficulties in detecting symptoms, patients’ perceived need for supportive care, and a lack of time to encourage survivors to obtain supportive care. Health care professionals expected the eHealth application to be of added value. The cognitive walkthroughs demonstrated that health care professionals emphasized the importance of tailoring care. They considered the navigation structure of OncoKompas to be complex. Health care professionals differed in their opinion toward the best strategy to implement the application in clinical practice but indicated that it should be incorporated in the HNC cancer care pathway to ensure all survivors would benefit.ConclusionsHealth care professionals experienced several barriers in directing patients to supportive care. They were positive toward the development and implementation of an eHealth application and expected it could support survivors in obtaining supportive care tailored to their needs. The cognitive walkthroughs revealed several points for optimizing the application prototype and developing an efficient implementation strategy. Including health care professionals in an early phase of a participatory design approach is valuable in developing an eHealth application and an implementation strategy meeting stakeholders’ needs.     

Including ELSI research questions in newborn screening pilot studies

BackgroundThe evidence review processes for adding new conditions to state newborn screening (NBS) panels rely on data from pilot studies aimed at assessing the potential benefits and harms of screening. However, the consideration of ethical, legal, and social implications (ELSI) of screening within this research has been limited. This paper outlines important ELSI issues related to newborn screening policy and practices as a resource to help researchers integrate ELSI into NBS pilot studies.ApproachMembers of the Bioethics and Legal Workgroup for the Newborn Screening Translational Research Network facilitated a series of professional and public discussions aimed at engaging NBS stakeholders to identify important existing and emerging ELSI challenges accompanying NBS.ResultsThrough these engagement activities, we identified a set of key ELSI questions related to (1) the types of results parents may receive through newborn screening and (2) the initiation and implementation of NBS for a condition within the NBS system.ConclusionIntegrating ELSI questions into pilot studies will help NBS programs to better understand the potential impact of screening for a new condition on newborns and families, and make crucial policy decisions aimed at maximized benefits and mitigating the potential negative medical or social implications of screening.     

The Effect of Individual Factors on Health Behaviors Among College Students: The Mediating Effects of eHealth Literacy

BackgroundCollege students’ health behavior is a topic that deserves attention. Individual factors and eHealth literacy may affect an individual’s health behaviors. The integrative model of eHealth use (IMeHU) provides a parsimonious account of the connections among the digital divide, health care disparities, and the unequal distribution and use of communication technologies. However, few studies have explored the associations among individual factors, eHealth literacy, and health behaviors, and IMeHU has not been empirically investigated.ObjectiveThis study examines the associations among individual factors, eHealth literacy, and health behaviors using IMeHU.MethodsThe Health Behavior Scale is a 12-item instrument developed to measure college students’ eating, exercise, and sleep behaviors. The eHealth Literacy Scale is a 12-item instrument designed to measure college students’ functional, interactive, and critical eHealth literacy. A nationally representative sample of 525 valid college students in Taiwan was surveyed. A questionnaire was administered to collect background information about participants’ health status, degree of health concern, major, and the frequency with which they engaged in health-related discussions. This study used Amos 6.0 to conduct a confirmatory factor analysis to identify the best measurement models for the eHealth Literacy Scale and the Health Behavior Scale. We then conducted a multiple regression analysis to examine the associations among individual factors, eHealth literacy, and health behaviors. Additionally, causal steps approach was used to explore indirect (mediating) effects and Sobel tests were used to test the significance of the mediating effects.ResultsThe study found that perceptions of better health status (t₅₂₀=2.14-6.12, P<.001-.03) and greater concern for health (t₅₂₀=2.58-6.95, P<.001-.003) influenced college students’ development of 3 dimensions of eHealth literacy and adoption of healthy eating, exercise, and sleep behaviors. Moreover, eHealth literacy played an intermediary role in the association between individual factors and health behaviors (Sobel test=2.09-2.72, P<.001-.03). Specifically, higher levels of critical eHealth literacy promoted students’ health status and their practice of multiple positive health behaviors, including eating, exercise, and sleep behaviors.ConclusionsBecause this study showed that eHealth literacy mediates the association between individual factors and health behaviors, schools should aim to enhance students’ eHealth literacy and promote their health behaviors to help them achieve high levels of critical eHealth literacy. Although some of the study’s hypotheses were not supported in this study, the factors that influence health behaviors are complex and interdependent. Therefore, a follow-up study should be conducted to further explore how these factors influence one another.     

Health literacy in the eHealth era: A systematic review of the literature

ObjectivesThis study aimed to identify studies on online health service use by people with limited health literacy, as the findings could provide insights into how health literacy has been, and should be, addressed in the eHealth era.MethodsTo identify the relevant literature published since 2010, we performed four rounds of selection—database selection, keyword search, screening of the titles and abstracts, and screening of full texts. This process produced a final of 74 publications.ResultsThe themes addressed in the 74 publications fell into five categories: evaluation of health-related content, development and evaluation of eHealth services, development and evaluation of health literacy measurement tools, interventions to improve health literacy, and online health information seeking behavior.ConclusionBarriers to access to and use of online health information can result from the readability of content and poor usability of eHealth services. We need new health literacy screening tools to identify skills for adequate use of eHealth services. Mobile apps hold great potential for eHealth and mHealth services tailored to people with low health literacy.Practice implicationsEfforts should be made to make eHealth services easily accessible to low-literacy individuals and to enhance individual health literacy through educational programs.     

How Can Research Keep Up With eHealth? Ten Strategies for Increasing the Timeliness and Usefulness of eHealth Research

Background

eHealth interventions appear and change so quickly that they challenge the way we conduct research. By the time a randomized trial of a new intervention is published, technological improvements and clinical discoveries may make the intervention dated and unappealing. This and the spate of health-related apps and websites may lead consumers, patients, and caregivers to use interventions that lack evidence of efficacy.

Objective

This paper aims to offer strategies for increasing the speed and usefulness of eHealth research.

Methods

The paper describes two types of strategies based on the authors’ own research and the research literature: those that improve the efficiency of eHealth research, and those that improve its quality.

Results

Efficiency strategies include: (1) think small: conduct small studies that can target discrete but significant questions and thereby speed knowledge acquisition; (2) use efficient designs: use such methods as fractional-factorial and quasi-experimental designs and surrogate endpoints, and experimentally modify and evaluate interventions and delivery systems already in use; (3) study universals: focus on timeless behavioral, psychological, and cognitive principles and systems; (4) anticipate the next big thing: listen to voices outside normal practice and connect different perspectives for new insights; (5) improve information delivery systems: researchers should apply their communications expertise to enhance inter-researcher communication, which could synergistically accelerate progress and capitalize upon the availability of “big data”; and (6) develop models, including mediators and moderators: valid models are remarkably generative, and tests of moderation and mediation should elucidate boundary conditions of effects and treatment mechanisms. Quality strategies include: (1) continuous quality improvement: researchers need to borrow engineering practices such as the continuous enhancement of interventions to incorporate clinical and technological progress; (2) help consumers identify quality: consumers, clinicians, and others all need to easily identify quality, suggesting the need to efficiently and publicly index intervention quality; (3) reduce the costs of care: concern with health care costs can drive intervention adoption and use and lead to novel intervention effects (eg, reduced falls in the elderly); and (4) deeply understand users: a rigorous evaluation of the consumer’s needs is a key starting point for intervention development.

Conclusions

The challenges of distinguishing and distributing scientifically validated interventions are formidable. The strategies described are meant to spur discussion and further thinking, which are important, given the potential of eHealth interventions to help patients and families.     

The translational potential of research on the ethical,legal, and social implications of genomics

Federally funded research on the ethical, legal, and social implications (ELSI) of genomics includes a programmatic charge to consider policy-relevant questions and to communicate findings in venues that help inform the policy-making process. In addressing this goal, investigators must consider the range of policies that are relevant to human genetics; how foundational research in bioethics, law, and the social sciences might inform those policies; and the potential professional issues that this translational imperative raises for ELSI investigators. We review these questions in light of experiences from a consortium of federally funded Centers of Excellence in ELSI Research, and offer a set of policy recommendations for program design and evaluation of ELSI research. We conclude that it would be a mistake to require that ELSI research programs demonstrate a direct impact on science or health policy; however, ELSI researchers can take steps to increase the relevance of their work to policy makers. Similarly, funders of ELSI research who are concerned with facilitating policy development can help by building cross-disciplinary translational research capacities, and universities can take steps to make policy-relevant research more rewarding for scholars in the humanities, social sciences, and law.Genet Med advance online publication 19 June 2014     

Building capacities in research for blood services in Africa

BackgroundCapacity building of African based blood services researchers has been identified as key in developing a sustainable programme of generation local evidence to support sound decision making. There are a number of research training programmes that have been instituted targeted at blood services in Africa. The article shares programme experiences of building research capacities for blood services in Africa.MethodologyThe Francophone Africa Transfusion Medicine Research Training network, the NIH REDS-III and NIH Fogarty South Africa programmes and T-REC (Building transfusion research capacity in Africa) have been the key research capacity programmes targeting blood services in Africa over the last decade. To understand their experiences on the implementation of the capacity building programmes, data were drawn from research outputs, publications and end of programme reports. The success, challenges and the main research outputs from their initiatives were highlighted.ResultsThe Francophone research network achievements included more than 135 trainees and in excess of 30 publications. The NIH REDS study the achievements included more than 12 research publications with South Africa junior investigators as lead authors. The NIH Fogarty program currently includes 56 short course trainees, 5 Masters and 6 PhD candidates. The four year (2011-2015, funding period) T-REC programme produced more than 20 publications, 4 PhDs, 42 in-service Diploma in Project Design and Management (DPDM), and supported bursaries for 60 Masters/undergraduate research. The main common challenges in the running of the research programmes include shortages of in-country mentoring and identified needs in high quality research grants writing.Discussion and conclusionThe key achievements for the blood services research capacity building include a mix of short courses, medium-term (epidemiology & biostats) and MS/PhD degree training. Also, having a "train the trainers' programme to develop in-country mentors has been instrumental. Overall, the key recommendations for blood services research capacity building include the need for research collaborations with high-income countries which can jump-start research,and for more in-country grant-writing capacity building, which would help sustainability.     

Using design science and artificial intelligence to improve health communication: ChronologyMD case example

Objective

This paper describes how design science theory and methods and use of artificial intelligence (AI) components can improve the effectiveness of health communication.

Methods

We identified key weaknesses of traditional health communication and features of more successful eHealth/AI communication. We examined characteristics of the design science paradigm and the value of its user-centered methods to develop eHealth/AI communication. We analyzed a case example of the participatory design of AI components in the ChronologyMD project intended to improve management of Crohn's disease.

Results

eHealth/AI communication created with user-centered design shows improved relevance to users’ needs for personalized, timely and interactive communication and is associated with better health outcomes than traditional approaches. Participatory design was essential to develop ChronologyMD system architecture and software applications that benefitted patients.

Conclusion

AI components can greatly improve eHealth/AI communication, if designed with the intended audiences. Design science theory and its iterative, participatory methods linked with traditional health communication theory and methods can create effective AI health communication.

Practice implications

eHealth/AI communication researchers, developers and practitioners can benefit from a holistic approach that draws from theory and methods in both design sciences and also human and social sciences to create successful AI health communication.     

Modeling the cost-effectiveness of health care systems for alcohol use disorders: how implementation of eHealth interventions improves cost-effectiveness

Background

Informing policy decisions about the cost-effectiveness of health care systems (ie, packages of clinical interventions) is probably best done using a modeling approach. To this end, an alcohol model (ALCMOD) was developed.

Objective

The aim of ALCMOD is to estimate the cost-effectiveness of competing health care systems in curbing alcohol use at the national level. This is illustrated for scenarios where new eHealth technologies for alcohol use disorders are introduced in the Dutch health care system.

Method

ALCMOD assesses short-term (12-month) incremental cost-effectiveness in terms of reductions in disease burden, that is, disability adjusted life years (DALYs) and health care budget impacts.

Results

Introduction of new eHealth technologies would substantially increase the cost-effectiveness of the Dutch health care system for alcohol use disorders: every euro spent under the current system returns a value of about the same size (€ 1.08, ie, a “surplus” of 8 euro cents) while the new health care system offers much better returns on investment, that is, every euro spent generates € 1.62 in health-related value.

Conclusion

Based on the best available evidence, ALCMOD''s computations suggest that implementation of new eHealth technologies would make the Dutch health care system more cost-effective. This type of information may help (1) to identify opportunities for system innovation, (2) to set agendas for further research, and (3) to inform policy decisions about resource allocation.     

Evaluation of the effect of an educational intervention on knowledge and adherence to HIV guidelines among frontline health workers in Alex-Ekwueme Federal University Teaching Hospital Abakaliki,Nigeria

BackgroundThe aim of this study was to appraise the implementation of the National HIV guidelines and determine the effect of an educational intervention on health worker knowledge and practice of the guidelines.MethodsA before and after study design without control was carried out using a self-administered questionnaire and key informant interviews. Data was also collected from client record cards. An educational intervention was carried out using pamphlets containing summarized information on the guideline. Data analysis was carried out using IBM-SPSS version 20.ResultResults showed that 54.5% of the respondents were males and 76% were medical doctors. Baseline knowledge level of respondents was high with 97% of respondents having good knowledge with a mean score of 3.9. This increased to 4.1 out of 5 post-intervention. All respondents had good practice of the guidelines before and after intervention with a mean score of 4.5 out of 5. Client records also showed good practice. Barriers to guideline implementation include: poor knowledge, inadequate training, guideline unavailability, poor functioning of the laboratory equipment, poor funding.ConclusionHIV guidelines are being implemented in the clinic to a large extent; however, trainings, funding and provision of the guideline in the clinics are recommended.