Development of Health Equity Indicators in Primary Health Care Organizations Using a Modified Delphi

Objective

The purpose of this study was to develop a core set of indicators that could be used for measuring and monitoring the performance of primary health care organizations'' capacity and strategies for enhancing equity-oriented care.

Methods

Indicators were constructed based on a review of the literature and a thematic analysis of interview data with patients and staff (n = 114) using procedures for qualitatively derived data. We used a modified Delphi process where the indicators were circulated to staff at the Health Centers who served as participants (n = 63) over two rounds. Indicators were considered part of a priority set of health equity indicators if they received an overall importance rating of>8.0, on a scale of 1–9, where a higher score meant more importance.

Results

Seventeen indicators make up the priority set. Items were eliminated because they were rated as low importance (<8.0) in both rounds and were either redundant or more than one participant commented that taking action on the indicator was highly unlikely. In order to achieve health care equity, performance at the organizational level is as important as assessing the performance of staff. Two of the highest rated “treatment” or processes of care indicators reflects the need for culturally safe and trauma and violence-informed care. There are four indicators that can be used to measure outcomes which can be directly attributable to equity responsive primary health care.

Discussion

These indicators and subsequent development of items can be used to measure equity in the domains of treatment and outcomes. These areas represent targets for higher performance in relation to equity for organizations (e.g., funding allocations to ongoing training in equity-oriented care provision) and providers (e.g., reflexive practice, skill in working with the health effects of trauma).     

Obesity and the Use of Health Care Services

Objective: This study investigated differences in the use of health care services and associated costs between obese and nonobese patients. Research Methods and Procedures: New adult patients (N = 509) were randomly assigned to primary care physicians at a university medical center. Their use of medical services and related charges was monitored for 1 year. Data collected included sociodemographics, self‐reported health status using the Medical Outcomes Study Short Form‐36, evaluation for depression using the Beck Depression Index, and measured height and weight to calculate BMI. Results: Obese patients included a significantly higher percentage of women and had higher mean age, lower mean education, lower mean health status, and higher mean Beck Depression Index scores. Obese patients had a significantly higher mean number of visits to both primary care (p = 0.0005) and specialty care clinics (p = 0.0006), and a higher mean number of diagnostic services (p < 0.0001). Obese patients also had significantly higher primary care (p = 0.0058), specialty clinic (p = 0.0062), emergency department (p = 0.0484), hospitalization (p = 0.0485), diagnostic services (p = 0.0021), and total charges (p = 0.0033). Controlling for health status, depression, age, education, income, and sex, obesity was significantly related to the use of primary care (p = 0.0364) and diagnostic services (p = 0.0075). There was no statistically significant relationship between obesity and medical expenditures in any of the five categories or for total charges. Discussion: Obesity is a chronic condition requiring long‐term management, with an emphasis on prevention. If this critical health issue is not appropriately addressed, the prevalence of obesity and obesity‐related diseases will continue to grow, resulting in escalating use of health care services.     

Utilization of HIV and Tuberculosis Services by Health Care Workers in Uganda: Implications for Occupational Health Policies and Implementation

Background

Access to HIV testing and subsequent care among health care workers (HCWs) form a critical component of TB infection control measures for HCWs. Challenges to and gaps in access to HIV services among HCWs may thus compromise TB infection control. This study assessed HCWs HIV and TB screening uptake and explored their preferences for provision of HIV and TB care.

Methods

A cross-sectional mixed-methods study involving 499 HCWs and 8 focus group discussions was conducted in Mukono and Wakiso districts in Uganda between October 2010 and February 2011.

Results

Overall, 5% of the HCWs reported a history of TB in the past five years. None reported routine screening for TB disease or infection, although 89% were willing to participate in a TB screening program, 77% at the workplace. By contrast, 95% had previously tested for HIV; 34% outside their workplace, and 27% self-tested. Nearly half (45%) would prefer to receive HIV care outside their workplace. Hypothetical willingness to disclose HIV positive status to supervisors was moderate (63%) compared to willingness to disclose to sexual partners (94%). Older workers were more willing to disclose to a supervisor (adjusted prevalence ratio [APR] = 1.51, CI = 1.16–1.95). Being female (APR = 0.78, CI = 0.68–0.91), and working in the private sector (APR = 0.81, CI = 0.65–1.00) were independent predictors of unwillingness to disclose a positive HIV status to a supervisor. HCWs preferred having integrated occupational services, versus stand-alone HIV care.

Conclusions

Discomfort with disclosure of HIV status to supervisors suggests that universal TB infection control measures that benefit all HCWs are more feasible than distinctions by HIVstatus, particularly for women, private sector, and younger HCWs. However, interventions to reduce stigma and ensuring confidentiality are also essential to ensure uptake of comprehensive HIV care including Isoniazid Preventive Therapy among HCWs.     

Study on Equity and Efficiency of Health Resources and Services Based on Key Indicators in China

Background

This study aims to evaluate the dialectical relationship between equity and efficiency of health resource allocation and health service utilization in China.

Methods

We analyzed the inequity of health resource allocation and health service utilization based on concentration index (CI) and Gini coefficient. Data envelopment analysis (DEA) was used to evaluate the inefficiency of resource allocation and service utilization. Factor Analysis (FA) was used to determine input/output indicators.

Results

The CI of Health Institutions, Beds in Health Institutions, Health Professionals and Outpatient Visits were -0.116, -0.012, 0.038, and 0.111, respectively. Gini coefficient for the 31 provinces varied between 0.05 and 0.43; out of these 23 (742%) were observed to be technically efficient constituting the “best practice frontier”. The other 8 (25.8%) provinces were technically inefficient.

Conclusions

Health professionals and outpatient services are focused on higher income levels, while the Health Institutions and Beds in Health Institutions were concentrated on lower income levels. In China, a few provinces attained a basic balance in both equity and efficiency in terms of current health resource and service utilization, thus serving as a reference standard for other provinces.     

Perceptions About Oral Health and Utilization of Oral Health Care Services Among Urban Finnish Elderly1

A representative sample of urban elderly living at home were studied for their perceived problems of oral health, treatment need felt for these problems, and their utilization of oral health care services. The majority of these elderly were denture wearers. Nearly all of the denture-wearing elderly had problems with their dentures, and about half of the dentate elderly had problems with their remaining teeth. The number of problems perceived increased with deteriorating health and decreasing income. Half of the elderly with denture problems and two-thirds of those who had problems with remaining teeth felt they needed dental treatment. Multivariate analyses found the number of perceived problems, having some natural teeth, and perceived general health to be the most important determinants of their perceived treatment need. Although two-thirds of the studied elderly felt no barriers to seeking treatment, only half of them had made their last dental visit less than five years ago. Having some teeth remaining, oral health education experiences, and income were found to be the best predictors of service utilization. Altogether, affective and cognitive factors rather than socio-demographic differences appeared to determine the elderly's perceptions about treatment need and their actual utilization of dental services, emphasizing the necessity of oral health education approaches designed for the elderly.     

A Home-Based Educational Intervention Improves Patient Activation Measures and Diabetes Health Indicators among Zuni Indians

Introduction

One in three people will be diagnosed with diabetes by 2050, and the proportion will likely be higher among Native Americans. Diabetes control is currently suboptimal in underserved populations despite a plethora of new therapies. Patient empowerment is a key determinant of diabetes control, but such empowerment can be difficult to achieve due to resource limitation and cultural, language and health literacy barriers. We describe a home-based educational intervention using Community Health Representatives (CHRs), leading to improvement in Patient Activation Measures scores and clinical indicators of diabetes control.

Methods

Sixty participants with type 2 diabetes (T2D) completed a baseline evaluation including physical exam, Point of Care (POC) testing, and the Patient Activation Measure (PAM) survey. Participants then underwent a one hour group didactic session led by Community Health Representatives (CHRs) who subsequently carried out monthly home-based educational interventions to encourage healthy lifestyles, including diet, exercise, and alcohol and cigarette avoidance until follow up at 6 months, when clinical phenotyping and the PAM survey were repeated.

Results

PAM scores were increased by at least one level in 35 (58%) participants, while 24 participants who started at higher baseline score did not change. Six months after intervention, mean levels of A1C decreased by 0.7 ± 1.2%; fasting blood glucose decreased by 24.0 ± 38.0 mg/dl; BMI decreased by 1.5 ± 2.1 kg/m2; total cholesterol decreased by 12.0± 28.0 mg/dl; and triglycerides decreased by 52.0 ± 71.0 mg/dl. All of these changes were statistically significant (p<0.05).

Conclusion

This six month, CHR led and community-oriented educational intervention helps inform standards of practice for the management of diabetes, engages diabetic populations in their own care, and reduces health disparities for the underserved population of Zuni Indians.

Trial Registration

ClinicalTrials.gov NCT02339311     

Reasons for Unmet Need for Child and Family Health Services among Children with Special Health Care Needs with and without Medical Homes

Objectives

Medical homes, an important component of U.S. health reform, were first developed to help families of children with special health care needs (CSHCN) find and coordinate services, and reduce their children’s unmet need for health services. We hypothesize that CSHCN lacking medical homes are more likely than those with medical homes to report health system delivery or coverage problems as the specific reasons for unmet need.

Methods

Data are from the 2005-2006 National Survey of Children with Special Health Care Needs (NS-CSHCN), a national, population-based survey of 40,723 CSHCN. We studied whether lacking a medical home was associated with 9 specific reasons for unmet need for 11 types of medical services, controlling for health insurance, child’s health, and sociodemographic characteristics.

Results

Weighted to the national population, 17% of CSHCN reported at least one unmet health service need in the previous year. CSHCN without medical homes were 2 to 3 times as likely to report unmet need for child or family health services, and more likely to report no referral (OR= 3.3), dissatisfaction with provider (OR=2.5), service not available in area (OR= 2.1), can’t find provider who accepts insurance (OR=1.8), and health plan problems (OR=1.4) as reasons for unmet need (all p<0.05).

Conclusions

CSHCN without medical homes were more likely than those with medical homes to report health system delivery or coverage reasons for unmet child health service needs. Attributable risk estimates suggest that if the 50% of CSHCN who lacked medical homes had one, overall unmet need for child health services could be reduced by as much as 35% and unmet need for family health services by 40%.     

Patient Referral Patterns and the Spread of Hospital-Acquired Infections through National Health Care Networks

Rates of hospital-acquired infections, such as methicillin-resistant Staphylococcus aureus (MRSA), are increasingly used as quality indicators for hospital hygiene. Alternatively, these rates may vary between hospitals, because hospitals differ in admission and referral of potentially colonized patients. We assessed if different referral patterns between hospitals in health care networks can influence rates of hospital-acquired infections like MRSA. We used the Dutch medical registration of 2004 to measure the connectedness between hospitals. This allowed us to reconstruct the network of hospitals in the Netherlands. We used mathematical models to assess the effect of different patient referral patterns on the potential spread of hospital-acquired infections between hospitals, and between categories of hospitals (University medical centers, top clinical hospitals and general hospitals). University hospitals have a higher number of shared patients than teaching or general hospitals, and are therefore more likely to be among the first to receive colonized patients. Moreover, as the network is directional towards university hospitals, they have a higher prevalence, even when infection control measures are equally effective in all hospitals. Patient referral patterns have a profound effect on the spread of health care-associated infections like hospital-acquired MRSA. The MRSA prevalence therefore differs between hospitals with the position of each hospital within the health care network. Any comparison of MRSA rates between hospitals, as a benchmark for hospital hygiene, should therefore take the position of a hospital within the network into account.