The burden of recording and reporting health data in primary health care facilities in five low- and lower-middle income countries.

BACKGROUND: Recording and reporting health data in facilities is the backbone of routine health information systems which provide data collected by health facility workers during service provision. Data is firstly collected in a register, to record patient health data and care process, and tallied into nationally designed reporting forms. While there is anecdotal evidence of large numbers of registers and reporting forms for primary health care (PHC) facilities, there are few systematic studies to document this potential burden on health workers. This multi-country study aimed to document the numbers of registers and reporting forms use at the PHC level and to estimate the time it requires for health workers to meet data demands. METHODS: In Cambodia, Ghana, Mozambique, Nigeria and Tanzania, a desk review was conducted to document registers and reporting forms mandated at the PHC level. In each country, visits to 16 randomly selected public PHC facilities followed to assess the time spent on paper-based recording and reporting. Information was collected through self-reports of estimated time use by health workers, and observation of 1360 provider-patient interactions. Data was primarily collected in outpatient care (OPD), antenatal care (ANC), immunization (EPI), family planning (FP), HIV and Tuberculosis (TB) services. RESULT: Cross-countries, the average number of registers was 34 (ranging between 16 and 48). Of those, 77% were verified in use and each register line had at least 20 cells to be completed per patient. The mean time spent on recording was about one-third the total consultation time for OPD, FP, ANC and EPI services combined. Cross-countries, the average number of monthly reporting forms was 35 (ranging between 19 and 52) of which 78% were verified in use. The estimated time to complete monthly reporting forms was 9 h (ranging between 4 to 15 h) per month per health worker. CONCLUSIONS: PHC facilities are mandated to use many registers and reporting forms pausing a considerable burden to health workers. Service delivery systems are expected to vary, however an imperative need remains to invest in international standards of facility-based registers and reporting forms, to ensure regular, comparable, quality-driven facility data collection and use.

The Nigerian health information system policy review of 2014 : the need, content, expectations and progress.

BACKGROUND: Nigeria's national health information system (HIS) data sources are grouped into institutional and population based data that traverse many government institutions. Communication and collaboration between these institutions are limited, fraught with fragmentation and challenges national HIS functionality. OBJECTIVES: The objective of this paper was to share insights from and the implications of a recent review of Nigeria's HIS policy in 2014 that resulted in its substantial revision. We also highlight some subsequent enactments. REVIEW PROCESS AND OUTCOMES: In 2013, Nigeria's Federal Ministry of Health launched an inter-ministerial and multi-departmental review of the National Health Management Information System policy of 2006. The review was guided by World Health Organization's 'Framework and Standards for Country Health Information Systems'. The key finding was a lack of governance mechanisms in the execution of the policy, including an absent data management governance process. The review also found a multiplicity of duplicative, parallel reporting tools and platforms. CONCLUSION: Recommendations for HIS Policy revisions were proposed to and implemented by the Federal Government of Nigeria. The revised HIS policy now provides for a strong framework for the leadership and governance of the HIS with early results.

A Decade of Monitoring HIV Epidemics in Nigeria: Positioning for Post-2015 Agenda.

BACKGROUND: Nigeria accounts for 9% of the global HIV burden and is a signatory to Millennium Development Goals as well as the post-2015 Sustainable Development Goals. This paper reviews maturation of her HIV M&E system and preparedness for monitoring of the post-2015 agenda. METHODS: Using the UNAIDS criteria for assessing a functional M&E system, a mixed-methods approach of desk review and expert consultations, was employed. RESULTS: Following adoption of a multi-sectoral M&E system, Nigeria experienced improved HIV coordination at the National and State levels, capacity building for epidemic appraisals, spectrum estimation and routine data quality assessments. National data and systems audit processes were instituted which informed harmonization of tools and indicators. The M&E achievements of the HIV response enhanced performance of the National Health Management Information System (NHMIS) using DHIS2 platform following its re-introduction by the Federal Ministry of Health, and also enabled decentralization of data management to the periphery. CONCLUSION: A decade of implementing National HIV M&E framework in Nigeria and the recent adoption of the DHIS2 provides a strong base for monitoring the Post 2015 agenda. There is however a need to strengthen inter-sectoral data linkages and reduce the rising burden of data collection at the global level.

Dried blood spot specimens are a suitable alternative sample type for HIV-1 viral load measurement and drug resistance genotyping in patients receiving first-line antiretroviral therapy.

BACKGROUND: Antiretroviral therapy (ART) is being administered in developing nations at unprecedented numbers following the World Health Organization's (WHO) development of standardized first-line drug regimens. To ensure continued efficacy of these drug regimens, WHO recommends monitoring virological responses and development of human immunodeficiency virus (HIV) drug resistance (HIVDR) in HIV-infected patients in a prospective cohort. The current study compared dried fluid spot specimens with the reference standard plasma specimens as a practical tool for viral load (VL) and HIVDR genotyping in resource-limited settings. METHODS: Dried blood spot (DBS), dried plasma spot (DPS), and plasma specimens were collected from 173 -patients receiving ART at 2 hospital sites in Abuja, Nigeria. HIV-1 VL analysis was performed using NucliSENS EasyQ HIV-1 v1.1 RUO test kits. Genotyping of the HIV-1 pol gene was performed using a broadly sensitive in-house assay. RESULTS: Direct comparison of VL levels showed that DBS specimens, and not DPS specimens, gave results comparable to those of plasma specimens (P = .0619 and .0007, respectively); however, both DBS and DPS specimens had excellent correlation with plasma specimens in predicting virological failure (VL, ≥1000 copies/mL) in patients (κ = 0.78 and 0.83, respectively). Of the 18 specimens with a plasma VL ≥1000 copies/mL, HIVDR genotyping rates were 100% in DBS and 38.9% in DPS specimens, and DBS specimens identified 61 of 65 HIVDR mutations (93.8%) identified in plasma specimens. CONCLUSIONS: Our results indicate that DBS specimens could be used for surveys to monitor HIVDR prevention failure in resource-limited settings.

Virological response and HIV drug resistance 12 months after antiretroviral therapy initiation at 2 clinics in Nigeria.

This report describes a pilot study, conducted in Nigeria, of the World Health Organization protocol for monitoring human immunodeficiency virus (HIV) drug resistance (HIVDR) and associated program factors among patients receiving first-line antiretroviral therapy (ART). In 2008, 283 HIV-infected patients starting ART were consecutively enrolled at 2 ART clinics in Abuja. Twelve months after ART initiation, 62% were alive and on first-line ART, 3% had died, 1% had transferred out of the program, and 34% were lost to follow-up. Among patients on first-line ART at 12 months, 90% had viral suppression. However, in view of the high loss to follow-up rate (34%), strategies for patient retention and tracking are critical to minimize possible HIVDR and optimize treatment outcomes.

HIV prevalence and risk behaviours among men having sex with men in Nigeria.

OBJECTIVE: To evaluate HIV and syphilis prevalence among men who have sex with men (MSM) in Nigeria, and assess their HIV-related risk behaviours and exposure to HIV prevention interventions. METHODS: Cross-sectional study using respondent-driven sampling conducted in Lagos, Kano and Cross River states, Nigeria, between July and September 2007. RESULTS: A total of 879 MSM participated, 293 from each state. Eight participants (1.1%, CI 0.1% to 2.2%) in Cross River, 27 (9.3%, CI 5.7% to 15.4%) in Kano and 74 (17.4%, CI 12.3% to 23.2%) in Lagos tested positive for HIV. No syphilis was detected. The median age was 22 years. MSM reported an average of 4.2 male anal sex partners in the past 6 months. Between 24.4% (Lagos) and 36.0% (Kano) of MSM reported selling sex to other men. Up to 49.7% of MSM reported sex with a girlfriend and ≤ 6.5% purchased sex from female sex workers. Consistent condom use in commercial sex with other men over the past 6 months ranged from 28.0% (Cross River) to 34.3% (Kano), in contrast to between 23.9% (Kano) and 45.8% (Lagos) for non-commercial sex. Associations with HIV positivity included age in the three states, having been the receptive partner in anal sex in the past 6 months in Lagos and in Lagos and Kano feeling at risk of HIV. CONCLUSION: Large differentials in HIV prevalence between states together with high mobility, inconsistent condom use and behavioural links with female sex partners, have the potential for further HIV transmission within MSM networks, and between MSM and the general population.

Potential use cases for the development of an electronic health facility registry in Nigeria: Key informant's perspectives.

BACKGROUND: Master facility lists (MFL) maintain an important standard (unique identifier) in country health information systems that will aid integration and interoperability of multiple health facility based data sources. However, this standard is not readily available in several low and middle income countries where reliable data is most needed for efficient planning. The World Health Organization in 2012 drew up guidelines for the creation of MFLs in countries but this guideline still requires domestication and process modeling for each country adopting it. Nigeria in 2013 published a paper-based MFL directory which it hopes to migrate to an electronic MFL registry for use across the country. OBJECTIVE: To identify the use cases of importance in the development of an electronic health facility registry to manage the MFL compiled in Nigeria. METHODS: Potential use cases for the health facility registry were identified through consultations with key informants at the Federal Ministry of Health. These will serve as input into an electronic MFL registry development effort. RESULTS: The use cases identified include: new health facility is created, update of status of health facility, close-out, relocation, new information available, delete and management of multi-branch health facility. CONCLUSION: Development of an application for the management of MFLs requires proper architectural analysis of the manifestations that can befall a health facility through its lifecycle. A MFL electronic registry will be invaluable to manage health facility data and will aid the integration and interoperability of health facility information systems.

Development of a master health facility list in Nigeria.

UNLABELLED: Abstract. INTRODUCTION: Routine Health Information Systems (RHIS) are increasingly transitioning to electronic platforms in several developing countries. Establishment of a Master Facility List (MFL) to standardize the allocation of unique identifiers for health facilities can overcome identification issues and support health facility management. The Nigerian Federal Ministry of Health (FMOH) recently developed a MFL, and we present the process and outcome. METHODS: The MFL was developed from the ground up, and includes a state code, a local government area (LGA) code, health facility ownership (public or private), the level of care, and an exclusive LGA level health facility serial number, as part of the unique identifier system in Nigeria. To develop the MFL, the LGAs sent the list of all health facilities in their jurisdiction to the state, which in turn collated for all LGAs under them before sending to the FMOH. At the FMOH, a group of RHIS experts verified the list and identifiers for each state. RESULTS: The national MFL consists of 34,423 health facilities uniquely identified. The list has been published and is available for worldwide access; it is currently used for planning and management of health services in Nigeria. DISCUSSION: Unique identifiers are a basic component of any information system. However, poor planning and execution of implementing this key standard can diminish the success of the RHIS. CONCLUSION: Development and adherence to standards is the hallmark for a national health information infrastructure. Explicit processes and multi-level stakeholder engagement is necessary to ensuring the success of the effort.

High HIV prevalence among men who have sex with men in Nigeria: implications for combination prevention.

BACKGROUND: This study provides population-based estimates of HIV prevalence and factors associated with HIV infection among men who have sex with men (MSM) in 3 large cities in Nigeria. We aimed to increase the knowledge base of the evolving HIV epidemic among MSM, highlight risk factors that may fuel the epidemic, and inform future HIV prevention packages. METHODS: A total of 712 MSM, aged 18 years and older, living in Abuja, Ibadan, and Lagos were recruited using respondent-driven sampling. Participants completed a behavioral questionnaire and tested for HIV. Population-based estimates were obtained using RDSAT software. Factors associated with HIV infection were ascertained using multiple logistic regression adjusting for RDSAT individualized weights. RESULTS: A high proportion of MSM reported high-risk behaviors, including unprotected anal sex with men (30-50%), unprotected vaginal sex with women (40%), bisexual behavior (30-45%), and never been tested for HIV (40-55%). The population-based estimates of HIV among MSM in the 3 cities were 34.9%, 11.3%, and 15.2%, respectively. In Abuja, HIV was significantly associated with unprotected sex and transactional sex. In Ibadan, HIV was significantly associated with unprotected sex and self-identified bisexual. In Lagos, HIV was significantly associated with the older age. CONCLUSIONS: HIV prevalence among MSM in the 3 cities was 4-10 times higher than the general population prevalence and was behaviorally linked. In response to a complex set of risks and disadvantages that put African MSM at a greater risk of HIV infection, future interventions targeting MSM should focus on a comprehensive approach that combines behavioral, biomedical, and structural interventions.

Sexual risk behaviors and HIV among female sex workers in Nigeria.

BACKGROUND: Female sex workers (FSWs) account for about 20% of new HIV infections in Nigeria. We estimated the change in HIV prevalence and sexual risk behaviors between 2 consecutive rounds of integrated biological and behavioral surveillance surveys (IBBSSs) and determined correlates of HIV transmission among FSWs. METHODS: In 2007 and 2010, HIV prevalence and risk behavior data on brothel-based (BB) and non-brothel-based (NBB) FSWs from the integrated biological and behavioral surveillance survey were evaluated in 6 Nigerian states. Logistic regression was used to identify correlates of HIV infection. RESULTS: A total of 2897 and 2963 FSWs were surveyed in 2007 and 2010, respectively. Overall HIV prevalence decreased in 2010 compared to 2007 (20% vs. 33%; P < 0.001), with similar magnitude of declines among BB-FSW (23% vs. 37%; P < 0.0001) and NBB-FSW (16% vs. 28%; P < 0.0001). Consistent condom use with boyfriends in the last 12 months was lower in 2010 compared to 2007 overall (23% vs. 25%; P = 0.02) and among BB-FSWs (17% vs. 23%; P < 0.01] while NBB-FSWs showed a marginal increase (30% vs. 27%; P = 0.08). FSWs residing in the Federal Capital Territory [adjusted odds ratio (AOR): 1.74 (1.34 - 2.27)] and Kano state [AOR: 2.07 (1.59 - 2.70)] were more likely to be HIV-positive while FSWs recruited in 2010 [AOR: 0.81 (0.77-0.85)] and those who had completed secondary education [AOR: 0.70 (0.60-0.80)] were less likely to be HIV-positive. CONCLUSIONS: Results suggest significant progress in reducing the burden of HIV among FSWs in Nigeria, although low condom use with boyfriends continued to be a potential bridge between FSWs and the general population. Venue-based prevention programs are needed to improve safer sex practices among BB-FSWs.