THE MULTIPLE LOCATION TIME WEIGHTED INDEX: USING PATIENT ACTIVITY SPACES TO CALCULATE PRIMARY CARE SERVICE AREAS

Geographic health planning analyses, such as service area calculations, are hampered by a lack of patient-specific geographic data. Using the limited patient address information in patient management systems, planners analyze patient origin based on home address. But activity space research done sparingly in public health and extensively in non-health related arenas uses multiple addresses per person when analyzing accessibility. Also, health care access research has shown that there are many non-geographic factors that influence choice of provider. Most planning methods, however, overlook non-geographic factors influencing choice of provider, and the limited data mean the analyses can only be related to home address. This research attempted to determine to what extent geography plays a part in patient choice of provider and to determine if activity space data can be used to calculate service areas for primary care providers. During Spring 2008, a convenience sample of 384 patients of a locally-funded Community Health Center in Houston, Texas, completed a survey that asked about what factors are important when he or she selects a health care provider. A subset of this group (336) also completed an activity space log that captured location and time data on the places where the patient regularly goes. Survey results indicate that for this patient population, geography plays a role in their choice of health care provider, but it is not the most important reason for choosing a provider. Other factors for choosing a health care provider such as the provider offering “free or low cost visits”, meeting “all of the patient’s health care needs”, and seeing “the patient quickly” were all ranked higher than geographic reasons. Analysis of the patient activity locations shows that activity spaces can be used to create service areas for a single primary care provider. Weighted activity-space-based service areas have the potential to include more patients in the service area since more than one location per patient is used. Further analysis of the logs shows that a reduced set of locations by time and type could be used for this methodology, facilitating ongoing data collection for activity-space-based planning efforts.

Considering the Consequences of Child Welfare Service Decisions

The following commentary serves as a response to the article, “That Wall is Around My Heart,” underscoring the importance of decision making in child welfare services. The commentary supports the need for child welfare systems to carefully consider the long-term consequences of various service intervention strategies. Child welfare systems must attend to both the internal external elements of safety, giving special attention to the emotional trauma of child maltreatment and the trauma resulting from removal and placement in alternative care. The commentary supports the need for child welfare systems to provide effective interventions that prevent and respond to child abuse and neglect, as well as break the cyclical nature of child maltreatment, helping ensure the safety of children and families for future generations.

Targeting Families to Receive Intensive Family Preservation Services: Assessing the Use of Imminent Risk of Placement as a Service Criterion

The process for targeting families to receive intensive family preservation services was examined for 71 child welfare agencies in the United States. The focus of this exploratory/descriptive study was the concept of imminent risk of placement as a criterion for providing services. Findings indicated that agencies had difficulty defining imminent risk and were unable to successfully restrict services to imminent risk cases. Several factors besides imminent risk were identified in relation to the targeting process.

HEALTH STATUS - HEALTH SERVICE RESOURCES - ECONOSOCIOCULTURAL DEVELOPMENT: IMPLICATIONS FOR HEALTH CARE POLICY IN AFRICA

Rational health services planning requires an examination of the effects of various factors on the health status of a population within a given set of socioeconomic circumstances. The commonly accepted explanations for improved health in the less developed countries (LDCs) are: Health Service Resources available to a population, Environmental and Life conditions, and the Econosociocultural Characteristics of the population.^ In the context of the low economic base from which many LDCs initiate development activities, a strong imperative exists for identifying in which of these major areas public health policy would be most effective in terms of improving health. A new conceptual model is proposed that would be used for future policy analyses to assess what changes in health status of populations in LDCs can be expected as direct functions of increased health service resources, and of improved environmental and econosociocultural conditions.^ While direct policy analysis is ill-advised at this time due to data inadequacy, the model is illustrated using data presently available for twenty-five relatively homogeneous Sub-Sahara African countries. Within the limitations of available data, study findings indicate that while econosociocultural conditions were the most important explanatory factors of the three major independent variables in 1970, health service resources became the most important in 1975. Study findings are inconclusive at this time with regards to the relative contributions of physicians and medical assistants in explaining variances in mortality in these countries.^ Because of the deficient nature of available data, study findings should be interpreted very cautiously. Tests of statistical significance of study findings were by-passed because of their situational technical inappropriateness. This study is significant in being the first of its kind and scope to focus on the Sub-Sahara African region of the World Health Organization, using the Wroclaw Taxonomic Method in conjunction with a stepwise regression technique. It is desirable, therefore, to examine the observed magnitude and directional consistency of all hypothesized relationships, even if evidence is inconclusive. ^

Measuring Service Effectiveness for Families

While most professionals do not dispute the fact that evaluation is necessary to determine whether agencies and practitioners are truly providing services that meet clients’ needs, information regarding consistent measures on service effectiveness in human service organizations is sparse. A national survey of 250 not-for-profit family service organizations in the United States (52.8% return rate) yielded results relevant to client identified needs and agency effectiveness measures in serving today’s families. On an open-ended survey item, 52.3% agencies indicated that poverty represented the most pressing problem among today’s families because other psychological needs also take priority. Over two thirds of these agencies used multiple methods to evaluate their services. Clients’ feedback and outcome measures are the most popular methods. The findings reveal agencies' difficulties in determining what or who decides if the most appropriate services are being provided for the target population. Limited data collected on outcomes and impact may impose additional difficulties in program design and planning.

Parental Employment and Home Visiting Program Service Delivery

Home visiting programs, which provide in-home services to disadvantaged families with young children, rest on the assumption that poor parents can be reached at home. Increased levels of maternal employment raise questions about this assumption. In this study, longitudinal data collected for a home visiting program evaluation were analyzed to assess whether employment patterns of parents who receive home visiting services reflect employment patterns of other poor mothers between 1995 and 2000. The study also addresses the relationship between maternal employment and home visiting service intensity. To effectively reach home visiting participants, service providers may need to modify service delivery practices.