Achieving Universal Primary Education: Can Kenya Afford it?

Kenya has experienced a rapid expansion of the education system partly due to high government expenditure on education. Despite the high level of expenditure on education, primary school enrolment has been declining since early 1990s and until 2003 when gross primary school enrolment increased to 104 percent after the introduction of free primary education. However, with an estimated net primary school enrolment rate of 77 percent, the country is far from achieving universal primary education. The worrying scenario is that the allocations of resources within the education sector seems to be ineffective as the increasing expenditure on education goes to recurrent expenditure (to pay teachers salaries). Kenya's Poverty Reduction Strategy Paper (PRSP) and the Economic Recovery Strategy for wealth and Employment Creation (ERS) outlines education targets of reaching universal primary education by 2015. The Government is faced with budget constrains and therefore the available resources need to be allocated efficiently in order to realize the education targets. The paper uses Budget Negotiation Framework (BNF) to analyze the cost effective ways of resource allocation in the primary education sector to achieve universal primary education and other education targets. Budget Negotiation Framework is a tool that aims at achieving equity and efficiency in resource allocation. Results from the analysis shows that universal primary education by the year 2015 is a feasible target for Kenya. The results also show that with a more cost- effective spending of education resources - increased trained teachers, enhanced textbook supplies and subsidies targeting the poor - the country could realize higher enrolment rates than what has been achieved with free primary education.

Depression care for the old-old in a primary care setting

Objective. Although those age 75 and older are the fastest growing age group in the U.S., few studies focus on the course and treatment of depression in this age group. This study examines the differences between the young-old (age 60 to 74) and the old-old (age 75 and older) in regards to their response to a collaborative care model for depression in primary care. We hypothesized that old-old participants would have more severe depression and have a lower rate of treatment response compared to young-old participants. ^ Methods. The sample consisted of 906 participants (n = 606 young-old; n = 300 old-old) who were randomized to receive the intervention with a depression care manager in the IMPACT trial. This study compared young-old and old-old patients on process of care and outcome variables to identify potential differences between the two age groups. Process of care was determined by the type of treatment and level of stepped care received. Clinical outcomes included SCL-20 depression scores, treatment response (defined as a ≥50% decrease in SCL-20 score from baseline) and complete remission (defined as a SCL-20 score <0.5) at 3-, 6-, and 12-months follow-up. ^ Results. The process of care variables did not differ between the two age groups. SCL-20 depression scores did not significantly differ between the two age groups at all follow-up intervals. Treatment response was significantly different between young-old and old-old participants at 6- and 12-months. Complete remission rates were significantly different between the two age-groups at 12-months follow-up. ^ Conclusions. Young-old and old-old patients have a similar clinical response to initial collaborative depression care in a primary care setting, but old-old patients may have lower rates long-term treatment response and complete remission. These findings will help guide future clinical and public health approaches to treat old-old patients with depression. ^

An empirical model to estimate the demand for primary care in urban settings

Objective. To measure the demand for primary care and its associated factors by building and estimating a demand model of primary care in urban settings.^ Data source. Secondary data from 2005 California Health Interview Survey (CHIS 2005), a population-based random-digit dial telephone survey, conducted by the UCLA Center for Health Policy Research in collaboration with the California Department of Health Services, and the Public Health Institute between July 2005 and April 2006.^ Study design. A literature review was done to specify the demand model by identifying relevant predictors and indicators. CHIS 2005 data was utilized for demand estimation.^ Analytical methods. The probit regression was used to estimate the use/non-use equation and the negative binomial regression was applied to the utilization equation with the non-negative integer dependent variable.^ Results. The model included two equations in which the use/non-use equation explained the probability of making a doctor visit in the past twelve months, and the utilization equation estimated the demand for primary conditional on at least one visit. Among independent variables, wage rate and income did not affect the primary care demand whereas age had a negative effect on demand. People with college and graduate educational level were associated with 1.03 (p < 0.05) and 1.58 (p < 0.01) more visits, respectively, compared to those with no formal education. Insurance was significantly and positively related to the demand for primary care (p < 0.01). Need for care variables exhibited positive effects on demand (p < 0.01). Existence of chronic disease was associated with 0.63 more visits, disability status was associated with 1.05 more visits, and people with poor health status had 4.24 more visits than those with excellent health status. ^ Conclusions. The average probability of visiting doctors in the past twelve months was 85% and the average number of visits was 3.45. The study emphasized the importance of need variables in explaining healthcare utilization, as well as the impact of insurance, employment and education on demand. The two-equation model of decision-making, and the probit and negative binomial regression methods, was a useful approach to demand estimation for primary care in urban settings.^

Theory of uncertainty in illness in patients with cancer of unknown primary origin: Structure providers as antecedents of uncertainty in a population of cancer patients with an unknown primary diagnosis

Uncertainty has been found to be a major component of the cancer experience and can dramatically affect psychosocial adaptation and outcomes of a patient's disease state (McCormick, 2002). Patients with a diagnosis of Carcinoma of Unknown Primary (CUP) may experience higher levels of uncertainty due to the unpredictability of current and future symptoms, limited treatment options and an undetermined life expectancy. To date, only one study has touched upon uncertainty and its' effects on those with CUP but no information exists concerning the effects of uncertainty regarding diagnosis and treatment on the distress level and psychosocial adjustment of this population (Parker & Lenzi, 2003). ^ Mishel's Uncertainty in Illness Theory (1984) proposes that uncertainty is preceded by three variables, one of which being Structure Providers. Structure Providers include credible authority, the degree of trust and confidence the patient has with their doctor, education and social support. It was the goal of this study to examine the relationship between uncertainty and Structure Providers to support the following hypotheses: (1) There will be a negative association between credible authority and uncertainty, (2) There will be a negative association between education level and uncertainty, and (3) There will be a negative association between social support and uncertainty. ^ This cross-sectional analysis utilized data from 219 patients following their initial consultation with their oncologist. Data included the Mishel Uncertainty in Illness Scale (MUIS) which was used to determine patients' uncertainty levels, the Medical Outcomes Study-Social Support Scale (MOSS-SSS) to assess patients, levels of social support, the Patient Satisfaction Questionnaire (PSQ-18) and the Cancer Diagnostic Interview Scale (CDIS) to measure credible authority and general demographic information to assess age, education, marital status and ethnicity. ^ In this study we found that uncertainty levels were generally higher in this sample as compared to other types of cancer populations. And while our results seemed to support most of our hypothesis, we were only able to show significant associations between two. The analyses indicated that credible authority measured by both the CDIS and the PSQ was a significant predictor of uncertainty as was social support measured by the MOSS-SS. Education has shown to have an inconsistent pattern of effect in relation to uncertainty and in the current study there was not enough data to significantly support our hypothesis. ^ The results of this study generally support Mishel's Theory of Uncertainty in Illness and highlight the importance of taking into consideration patients, psychosocial factors as well as employing proper communication practices between physicians and their patients.^

Bioterrorism preparedness at a hospital level in the Southwest Region of the United States -- A systematic review

Since the tragic events of September, 11 2001 the United States bioterrorism and disaster preparedness has made significant progress; yet, numerous research studies of nationwide hospital emergency response have found alarming shortcomings in surge capacity and training level of health care personnel in responding to bioterrorism incidents. The primary goals of this research were to assess hospital preparedness towards the threat of bioterrorist agents in the Southwest Region of the United States and provide recommendations for its improvement. Since little formal research has been published on the hospital preparedness of Oklahoma, Arizona, Texas and New Mexico, this research study specifically focused on the measurable factors affecting the respective states' resources and level of preparedness, such as funding, surge capacity and preparedness certification status.^ Over 300 citations of peer-reviewed articles and 17 Web sites were reviewed, of which 57 reports met inclusion criteria. The results of the systematic review highlighted key gaps in the existing literature and the key targets for future research, as well as identified strengths and weaknesses of the hospital preparedness in the Southwest states compared to the national average. ^ Based on the conducted research, currently, the Southwest states hospital systems are unable fully meet presidential preparedness mandates for emergency and disaster care: the staffed beds to 1,000 population value fluctuated around 1,5 across the states; funding for the hospital preparedness lags behind hospital costs by millions of dollars; and public health-hospital partnership in bioterrorism preparedness is quite weak as evident in lack of joint exercises and training. However, significant steps towards it are being made, including on-going hospital preparedness certification by the Joint Commission of Health Organization. Variations in preparedness levels among states signify that geographic location might determine a hospital level of bioterrorism preparedness as well, tending to favor bigger states such as Texas.^ Suggested recommendations on improvement of the hospital bioterrorism preparedness are consistent with the existing literature and include establishment and maintenance of solid partnerships between hospitals and public health agencies, conduction of joint exercises and drills for the health care personnel and key partners, improved state and federal funding specific to bioterrorism preparedness objectives, as well as on-going training of the clinical personnel on recognition of the bioterrorism agents.^

Improving adherence in African American women with uncontrolled primary hypertension

Background and Objectives: African American (AA) women are disproportionately affected with hypertension (HTN). The aim of this randomized controlled trial was to evaluate the effectiveness of a 6-week culturally-tailored educational intervention for AA women with primary HTN who lived in rural Northeast Texas. ^ Methods: Sixty AA women, 29 to 86 years (M 57.98 ±12.37) with primary HTN were recruited from four rural locations and randomized to intervention (n =30) and wait-list control groups ( n =30) to determine the effectiveness of the intervention on knowledge, attitudes, beliefs, social support, adherence to a hypertension regimen, and blood pressure (BP) control. Survey and BP measurements were collected at baseline, 3 weeks, 6 weeks (post intervention) and 6 months post intervention. Culturally-tailored educational classes were provided for 90 minutes once a week for 6 weeks in two local churches and a community center. The wait-list control group received usual care and were offered education at the conclusion of the data collection six months post-intervention. Linear mixed models were used to test for differences between the groups. ^ Results: A significant overall main effect (Time) was found for systolic blood pressure, F(3, 174) =11.104, p=.000, and diastolic blood pressure. F(3, 174) =4.781, p=.003 for both groups. Age was a significant covariate for diastolic blood pressure. F(1, 56) =6.798 p=.012. Participants 57 years or older (n=30) had lower diastolic BPS than participants younger than 57 (n=30). No significant differences were found between groups on knowledge, adherence, or attitudes. Participants with lower incomes had significantly less knowledge about HBP Prevention (r=.036, p=.006). ^ Conclusion: AA women who participated in a 6 week intervention program demonstrated a significant decrease in BP over a 6 month period regardless of whether they were in the intervention or control group. These rural AA women had a relatively good knowledge of HTN and reported an average level of compliance, compared to other populations. Satisfaction with the program was high and there was no attrition, suggesting that AA women will participate in research studies that are culturally tailored to them, held in familiar community locations, and conducted by a trusted person with whom they can identify. Future studies using a different program with larger sample sizes are warranted to try to decrease the high level of HTN-related complications in AA women. ^

Effect of primary care availability and health insurance coverage on risk and cost of Preventable Hospitalizations in Harris County

Preventable Hospitalizations (PHs) are hospitalizations that can be avoided with appropriate and timely care in the ambulatory setting and hence are closely associated with primary care access in a community. Increased primary care availability and health insurance coverage may increase primary care access, and consequently may be significantly associated with risks and costs of PHs. Objective. To estimate the risk and cost of preventable hospitalizations (PHs); to determine the association of primary care availability and health insurance coverage with the risk and costs of PHs, first alone and then simultaneously; and finally, to estimate the impact of expansions in primary care availability and health insurance coverage on the burden of PHs among non-elderly adult residents of Harris County. Methods. The study population was residents of Harris County, age 18 to 64, who had at least one hospital discharge in a Texas hospital in 2008. The primary independent variables were availability of primary care physicians, availability of primary care safety net clinics and health insurance coverage. The primary dependent variables were PHs and associated hospitalization costs. The Texas Health Care Information Collection (THCIC) Inpatient Discharge data was used to obtain information on the number and costs of PHs in the study population. Risk of PHs in the study population, as well as average and total costs of PHs were calculated. Multivariable logistic regression models and two-step Heckman regression models with log-transformed costs were used to determine the association of primary care availability and health insurance coverage with the risk and costs of PHs respectively, while controlling for individual predisposing, enabling and need characteristics. Predicted PH risk and cost were used to calculate the predicted burden of PHs in the study population and the impact of expansions in primary care availability and health insurance coverage on the predicted burden. Results. In 2008, hospitalized non-elderly adults in Harris County had 11,313 PHs and a corresponding PH risk of 8.02%. Congestive heart failure was the most common PH. PHs imposed a total economic burden of $84 billion at an average of $7,449 per PH. Higher primary care safety net availability was significantly associated with the lower risk of PHs in the final risk model, but only in the uninsured. A unit increase in safety net availability led to a 23% decline in PH odds in the uninsured, compared to only a 4% decline in the insured. Higher primary care physician availability was associated with increased PH costs in the final cost model (β=0.0020; p<0.05). Lack of health insurance coverage increased the risk of PH, with the uninsured having 30% higher odds of PHs (OR=1.299; p<0.05), but reduced the cost of a PH by 7% (β=-0.0668; p<0.05). Expansions in primary care availability and health insurance coverage were associated with a reduction of about $1.6 million in PH burden at the highest level of expansion. Conclusions. Availability of primary care resources and health insurance coverage in hospitalized non-elderly adults in Harris County are significantly associated with the risk and costs of PHs. Expansions in these primary care access factors can be expected to produce significant reductions in the burden of PHs in Harris County.^

Pathway analysis of genome-wide association study data in primary biliary cirrhosisa

Genome-wide association studies (GWAS) have successfully identified several genetic loci associated with inherited predisposition to primary biliary cirrhosis (PBC), the most common autoimmune disease of the liver. Pathway-based tests constitute a novel paradigm for GWAS analysis. By evaluating genetic variation across a biological pathway (gene set), these tests have the potential to determine the collective impact of variants with subtle effects that are individually too weak to be detected in traditional single variant GWAS analysis. To identify biological pathways associated with the risk of development of PBC, GWAS of PBC from Italy (449 cases and 940 controls) and Canada (530 cases and 398 controls) were independently analyzed. The linear combination test (LCT), a recently developed pathway-level statistical method was used for this analysis. For additional validation, pathways that were replicated at the P <0.05 level of significance in both GWAS on LCT analysis were also tested for association with PBC in each dataset using two complementary GWAS pathway approaches. The complementary approaches included a modification of the gene set enrichment analysis algorithm (i-GSEA4GWAS) and Fisher's exact test for pathway enrichment ratios. Twenty-five pathways were associated with PBC risk on LCT analysis in the Italian dataset at P<0.05, of which eight had an FDR<0.25. The top pathway in the Italian dataset was the TNF/stress related signaling pathway (p=7.38×10 -4, FDR=0.18). Twenty-six pathways were associated with PBC at the P<0.05 level using the LCT in the Canadian dataset with the regulation and function of ChREBP in liver pathway (p=5.68×10-4, FDR=0.285) emerging as the most significant pathway. Two pathways, phosphatidylinositol signaling system (Italian: p=0.016, FDR=0.436; Canadian: p=0.034, FDR=0.693) and hedgehog signaling (Italian: p=0.044, FDR=0.636; Canadian: p=0.041, FDR=0.693), were replicated at LCT P<0.05 in both datasets. Statistically significant association of both pathways with PBC genetic susceptibility was confirmed in the Italian dataset on i-GSEA4GWAS. Results for the phosphatidylinositol signaling system were also significant in both datasets on applying Fisher's exact test for pathway enrichment ratios. This study identified a combination of known and novel pathway-level associations with PBC risk. If functionally validated, the findings may yield fresh insights into the etiology of this complex autoimmune disease with possible preventive and therapeutic application.^

Water Table Level as Influenced by Rainfall, Crop Requirements, and Tiling Method during the past Three Years

In 1979, a portion of the research farm was pattern tiled including the large tillage plots. This was used as an opportunity to compare tile installation methods: a conventional trenching machine (used widely prior to late 70s), and a trenchless “tile plow” machine. The tile plow inserted plastic tile using a mole approach, which is the current primary tiling method. This research showed that plow and trenching tiling methods were not significantly different and both provided adequate drainage. It also showed that water table measurements were influenced more by timing of water needs of the crop being grown and intensity of the rainfall event than tiling method. This report focuses on continued research completed on these trial plots from 2009 to 2011 measuring water table level.