Input, Process and Output indicators and LQAS judgment for three Senatorial Districts (C-Central, NE-North East, NW-North West) in Jigawa, Nigeria, 2009.

*<p>Number of adequately performing PMVs in the sample of n = 7 PMVs per SD and classification of SD as high or low performance based on the decision rule (d = 5).</p>†<p>95% confidence intervals for state estimates of coverage with finite population correction.</p>‡<p>as observed on the day of the survey.</p>§<p>PMV reported having had malaria-related training on at least three of the following components: treatment with ACTs, promotion of ITNs, referral for danger signs, disuse of chloroquine and SP for treatment.</p>††<p>PMV mentioned at least four of the following components of government recommendations: Treatment with ACTs, disuse of chloroquine and SP for treatment, disuse of oral artemisinin-based monotherapy for treatment, antimalarials to be given in single treatment packs, SP to be provided at least twice during pregnancy, treatment sought for febrile cases within 24 hrs of onset of symptoms.</p>§§<p>Interviewers brought the most common available brand of both types of recommended ACTs, showed them to the PMV and then asked them the dosage for a 2-year-old child for each drug. PMVs were not restricted from looking up dosage information if they wanted to do so.</p>¶<p>Recognizable danger signs to be named included convulsions, coma, severe vomiting, inability to drink or breastfeed, severe sickness/inability to sit or stand, difficulty in breathing/fast breathing, persistent fever, and lack of improvement or worsening of symptoms after two days.</p>**<p>PMV reported that client looking for treatment of fever/malaria purchased a first line antimalarial (recommended ACTs) rather than a non-recommended antimalarial.</p><p>AL = Arthemether-lumefantrine, AA = Artesunate-amodiaquine, ITN = Insecticide Treated Nets, LLIN = Long Lasting Insecticide treated Nets.</p

Operating Characteristic Curve for health facility assessments in Jigawa, Nigeria.

<p>Operating Characteristic Curve for health facility assessments with sample size n = 7 and a decision rule of d = 5 for the upper cut-off P_U = 80% and the lower cut-off P_L = 50% for Senatorial Districts with a total of N = 9 and 10 health facilities. The area in between the upper and lower cut-off is the “grey area”. Changing d would shift the curve to the left or right; increasing the sample size would result in a sharper gradient of the curve and a smaller grey area. However, no matter how large the sample size there will always be a grey area and a certain level of misclassification error. We selected n and d to reduce the two forms of misclassification errors; it was ensured that the alpha error or the probability of mistakenly failing to accept an SD with acceptable performance (≥80%) did not exceed a value of 0.10, and that similarly the beta error or the probability of mistakenly accepting an SD with unacceptable performance (≤50%) did not exceed 0.10.</p

Antimalarials in stock on survey day and sold on the day before the survey at PMV stores in Jigawa, Nigeria, 2009^*.

*<p>Multiple responses were allowed; no LQAS judgements made because the data are stratified by response options as well as by stocking and selling of drugs that are recommended and non-recommended for treatment of uncomplicated malaria in Nigeria.</p>†<p>As observed on survey day.</p>‡<p>Purchased by clients with fever/malaria on day before survey as reported by PMV.</p>§<p>Number of PMVs in the sample of 7 PMVs per Senatorial District (SD).</p>**<p>95% confidence intervals for state estimates of coverage with finite population correction.</p

Jigawa State with three Senatorial Districts by total number of Health Facilities (HFs), PMVs, sample sizes, and alpha and beta errors for an LQAS decision rule of “d” = 5.

<p>Jigawa State with three Senatorial Districts by total number of Health Facilities (HFs), PMVs, sample sizes, and alpha and beta errors for an LQAS decision rule of “d” = 5.</p

Jigawa State with Three Senatorial Districts by Total Number of Health Facilities (HF), PMVs, Sample Sizes, and Alpha and Beta Errors for an LQAS Decision Rule of “d” = 5.

<p>Jigawa State with Three Senatorial Districts by Total Number of Health Facilities (HF), PMVs, Sample Sizes, and Alpha and Beta Errors for an LQAS Decision Rule of “d” = 5.</p

Training received by health workers in Jigawa State, Nigeria.

<p>Training received by health workers in Jigawa State, Nigeria.</p

LQAS Classification of Health Facilities by Core Indicators in the Senatorial District of Jigawa and Coverage at the State Level during 2009.

*<p>number of high performance HF out of a sample of 7 HF per SD and classification of SD as high or low performance based on a decision rule of 5.</p>**<p>pass for at least 5 of 6 paediatric cases observed.</p

Percent of health workers in Jigawa carrying out IMCI assessment.

<p>Percent of health workers in Jigawa carrying out IMCI assessment.</p

Operating Characteristic Curve for Health Facility Assessments with n = 7 and a Decision Rule of 5 for P_U = 80% and P_L = 50% for areas with a total of 9 and 10 health facilities.

<p>Operating Characteristic Curve for Health Facility Assessments with n = 7 and a Decision Rule of 5 for P_U = 80% and P_L = 50% for areas with a total of 9 and 10 health facilities.</p

Additional file 1: of Correlates of facility delivery for rural HIV-positive pregnant women enrolled in the MoMent Nigeria prospective cohort study

Enrollment Form for pregnant HIV-positive women (Case Report Form 1). Form captures baseline socio-demographic, obstetric, and other clinical data for all women enrolled in the MoMent study. (PDF 113 kb