Ex Post Contract Market Structure: Implications for Performance Over Time

2015 ◽  
Vol 47 (5) ◽  
pp. 588-598 ◽  
Author(s):  
Julia L. Carboni
Keyword(s):  
Management Strategies ◽  
State Level ◽  
Individual Performance ◽  
Contract Management ◽  
Structural Factors ◽  
Structural Embeddedness ◽  
Contract Performance ◽  
Ex Post ◽  
Structural Variables ◽  
Over Time

Government increasingly relies on complex arrangements of providers to deliver public services. There is burgeoning public administration literature on contract management and performance. This literature emphasizes contract management strategies such as contract design and ex post monitoring and relationship building to promote contractor performance. The literature does not examine effects of structural variables on contract performance in ex post contract markets, though work on interorganizational networks has long established that structural factors influence individual performance. This study examines the influence of structural variables on publicly funded contract performance in networked structures of exchange using 5 years of state-level contract data. Network concepts are used to develop contracts as networked exchange structures and develop measures of structural embeddedness for individual programs. Findings include that the structural embeddedness of individual programs influences individual contract performance on quality and cost dimensions over time.

State-Level Infant, Neonatal, and Postneonatal Mortality: The Contribution of Selected Structural Socioeconomic Variables

1998 ◽  
Vol 28 (1) ◽  
pp. 13-27 ◽  
Author(s):  
Sheryl Thorburn Bird ◽  
Karl E. Bauman
Keyword(s):  
Infant Mortality ◽  
Health Outcomes ◽  
Neonatal Mortality ◽  
State Level ◽  
The United States ◽  
Mortality Rates ◽  
Structural Factors ◽  
Postneonatal Mortality ◽  
Structural Variables ◽  
Black Populations

Reducing infant mortality in the United States is a national priority. States' infant mortality rates vary substantially. Public health researchers, practitioners, and leaders have long argued that social and other structural factors must be addressed if health outcomes are to be improved. A knowledge of which structural variables are most strongly related to state-level infant mortality is needed to guide the development of policies and programs to reduce this mortality. The authors examine the importance of several structural (social, economic, and political) variables for state-level infant, neonatal, and postneonatal mortality. With the state as the unit of analysis, data for all 50 states were analyzed using multiple regression. Together, the structural variables accounted for two-thirds of the variance in infant and neonatal mortality rates and over half of the variance in postneonatal mortality rates. States with proportionately larger black populations had higher infant, neonatal, and postneonatal mortality rates. States with greater percentages of high school graduates had lower neonatal mortality rates but higher postneonatal mortality rates. The findings suggest that a better understanding of the relationship between states' social structure and infant health outcomes is needed if state-level infant mortality is to be reduced.

scholarly journals Analysis of 220 Years of Floodplain Population Dynamics in the US at Different Spatial Scales

Water ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 141
Author(s):  
Firoza Akhter ◽  
Maurizio Mazzoleni ◽  
Luigia Brandimarte
Keyword(s):  
Population Dynamics ◽  
Large Scale ◽  
Spatial Scales ◽  
National Level ◽  
State Level ◽  
Economic Activities ◽  
Protection Measures ◽  
Management Planning ◽  
The Us ◽  
Over Time

In this study, we explore the long-term trends of floodplain population dynamics at different spatial scales in the contiguous United States (U.S.). We exploit different types of datasets from 1790–2010—i.e., decadal spatial distribution for the population density in the US, global floodplains dataset, large-scale data of flood occurrence and damage, and structural and nonstructural flood protection measures for the US. At the national level, we found that the population initially settled down within the floodplains and then spread across its territory over time. At the state level, we observed that flood damages and national protection measures might have contributed to a learning effect, which in turn, shaped the floodplain population dynamics over time. Finally, at the county level, other socio-economic factors such as local flood insurances, economic activities, and socio-political context may predominantly influence the dynamics. Our study shows that different influencing factors affect floodplain population dynamics at different spatial scales. These facts are crucial for a reliable development and implementation of flood risk management planning.

scholarly journals Augmenting the Clinical Data Sources for Enigmatic Diseases: A Cross-Sectional Study of Self-Tracking Data and Clinical Documentation in Endometriosis

2020 ◽  
Vol 11 (05) ◽  
pp. 769-784
Author(s):  
Ipek Ensari ◽  
Adrienne Pichon ◽  
Sharon Lipsky-Gorman ◽  
Suzanne Bakken ◽  
Noémie Elhadad
Keyword(s):  
Additional Data ◽  
Intraclass Correlation ◽  
Management Strategies ◽  
The Self ◽  
Self Management ◽  
Cross Sectional ◽  
Two Samples ◽  
Data Source ◽  
Daily Function ◽  
Over Time

Abstract Background Self-tracking through mobile health technology can augment the electronic health record (EHR) as an additional data source by providing direct patient input. This can be particularly useful in the context of enigmatic diseases and further promote patient engagement. Objectives This study aimed to investigate the additional information that can be gained through direct patient input on poorly understood diseases, beyond what is already documented in the EHR. Methods This was an observational study including two samples with a clinically confirmed endometriosis diagnosis. We analyzed data from 6,925 women with endometriosis using a research app for tracking endometriosis to assess prevalence of self-reported pain problems, between- and within-person variability in pain over time, endometriosis-affected tasks of daily function, and self-management strategies. We analyzed data from 4,389 patients identified through a large metropolitan hospital EHR to compare pain problems with the self-tracking app and to identify unique data elements that can be contributed via patient self-tracking. Results Pelvic pain was the most prevalent problem in the self-tracking sample (57.3%), followed by gastrointestinal-related (55.9%) and lower back (49.2%) pain. Unique problems that were captured by self-tracking included pain in ovaries (43.7%) and uterus (37.2%). Pain experience was highly variable both across and within participants over time. Within-person variation accounted for 58% of the total variance in pain scores, and was large in magnitude, based on the ratio of within- to between-person variability (0.92) and the intraclass correlation (0.42). Work was the most affected daily function task (49%), and there was significant within- and between-person variability in self-management effectiveness. Prevalence rates in the EHR were significantly lower, with abdominal pain being the most prevalent (36.5%). Conclusion For enigmatic diseases, patient self-tracking as an additional data source complementary to EHR can enable learning from the patient to more accurately and comprehensively evaluate patient health history and status.

scholarly journals Dynamic modeling of nutrient use and individual requirements of lactating sows1

2019 ◽  
Vol 97 (7) ◽  
pp. 2822-2836 ◽  
Author(s):  
Raphaël Gauthier ◽  
Christine Largouët ◽  
Charlotte Gaillard ◽  
Laetitia Cloutier ◽  
Frédéric Guay ◽  
...  
Keyword(s):  
Feed Intake ◽  
Average Daily Gain ◽  
Individual Performance ◽  
Maintenance Cost ◽  
Nutrient Requirements ◽  
Modeling Approach ◽  
Ex Post ◽  
Nutrient Use ◽  
The Mean ◽  
On Farm

AbstractNutrient requirements of sows during lactation are related mainly to their milk yield and feed intake, and vary greatly among individuals. In practice, nutrient requirements are generally determined at the population level based on average performance. The objective of the present modeling approach was to explore the variability in nutrient requirements among sows by combining current knowledge about nutrient use with on-farm data available on sows at farrowing [parity, BW, backfat thickness (BT)] and their individual performance (litter size, litter average daily gain, daily sow feed intake) to estimate nutrient requirements. The approach was tested on a database of 1,450 lactations from 2 farms. The effects of farm (A, B), week of lactation (W1: week 1, W2: week 2, W3+: week 3 and beyond), and parity (P1: 1, P2: 2, P3+: 3 and beyond) on sow performance and their nutrient requirements were evaluated. The mean daily ME requirement was strongly correlated with litter growth (R2 = 0.95; P < 0.001) and varied slightly according to sow BW, which influenced the maintenance cost. The mean daily standardized ileal digestible (SID) lysine requirement was influenced by farm, week of lactation, and parity. Variability in SID lysine requirement per kg feed was related mainly to feed intake (R2 = 0.51; P < 0.001) and, to a smaller extent, litter growth (R2 = 0.27; P < 0.001). It was lowest in W1 (7.0 g/kg), greatest in W2 (7.9 g/kg), and intermediate in W3+ (7.5 g/kg; P < 0.001) because milk production increased faster than feed intake capacity did. It was lower for P3+ (6.7 g/kg) and P2 sows (7.3 g/kg) than P1 sows (8.3 g/kg) due to the greater feed intake of multiparous sows. The SID lysine requirement per kg of feed was met for 80% of sows when supplies were 112 and 120% of the mean population requirement on farm A and B, respectively, indicating higher variability in requirements on farm B. Other amino acid and mineral requirements were influenced in the same way as SID lysine. The present modeling approach allows to capture individual variability in the performance of sows and litters according to farm, stage of lactation, and parity. It is an initial step in the development of new types of models able to process historical farm data (e.g., for ex post assessment of nutrient requirements) and real-time data (e.g., to control precision feeding).

scholarly journals Improving water productivity in the Australian Grains industry—a nationally coordinated approach

2014 ◽  
Vol 65 (7) ◽  
pp. 583 ◽  
Author(s):  
J. A. Kirkegaard ◽  
J. R. Hunt ◽  
T. M. McBeath ◽  
J. M. Lilley ◽  
A. Moore ◽  
...  
Keyword(s):  
Water Use ◽  
Production Systems ◽  
Water Productivity ◽  
Management Strategies ◽  
Wheat Yield ◽  
Farming Systems ◽  
Annual Rainfall ◽  
Cost Ratio ◽  
Ex Post ◽  
Farm Scale

Improving the water-limited yield of dryland crops and farming systems has been an underpinning objective of research within the Australian grains industry since the concept was defined in the 1970s. Recent slowing in productivity growth has stimulated a search for new sources of improvement, but few previous research investments have been targeted on a national scale. In 2008, the Australian grains industry established the 5-year, AU$17.6 million, Water Use Efficiency (WUE) Initiative, which challenged growers and researchers to lift WUE of grain-based production systems by 10%. Sixteen regional grower research teams distributed across southern Australia (300–700 mm annual rainfall) proposed a range of agronomic management strategies to improve water-limited productivity. A coordinating project involving a team of agronomists, plant physiologists, soil scientists and system modellers was funded to provide consistent understanding and benchmarking of water-limited yield, experimental advice and assistance, integrating system science and modelling, and to play an integration and communication role. The 16 diverse regional project activities were organised into four themes related to the type of innovation pursued (integrating break-crops, managing summer fallows, managing in-season water-use, managing variable and constraining soils), and the important interactions between these at the farm-scale were explored and emphasised. At annual meetings, the teams compared the impacts of various management strategies across different regions, and the interactions from management combinations. Simulation studies provided predictions of both a priori outcomes that were tested experimentally and extrapolation of results across sites, seasons and up to the whole-farm scale. We demonstrated experimentally that potential exists to improve water productivity at paddock scale by levels well above the 10% target by better summer weed control (37–140%), inclusion of break crops (16–83%), earlier sowing of appropriate varieties (21–33%) and matching N supply to soil type (91% on deep sands). Capturing synergies from combinations of pre- and in-crop management could increase wheat yield at farm scale by 11–47%, and significant on-farm validation and adoption of some innovations has occurred during the Initiative. An ex post economic analysis of the Initiative estimated a benefit : cost ratio of 3.7 : 1, and an internal return on investment of 18.5%. We briefly review the structure and operation of the initiative and summarise some of the key strategies that emerged to improve WUE at paddock and farm-scale.

scholarly journals Fibromyalgia Impact Reduction Using Online Personal Health Informatics: Longitudinal Observational Study

10.2196/15819 ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. e15819
Author(s):  
William Collinge ◽  
Robert Soltysik ◽  
Paul Yarnold
Keyword(s):  
Health Informatics ◽  
A Priori ◽  
Management Strategies ◽  
Personal Health ◽  
Single Subject ◽  
Cumulative Number ◽  
Impact Reduction ◽  
Health Diary ◽  
Over Time

Background Personal health informatics have the potential to help patients discover personalized health management strategies that influence outcomes. Fibromyalgia (FM) is a complex chronic illness requiring individualized strategies that may be informed by analysis of personal health informatics data. An online health diary program with dynamic feedback was developed to assist patients with FM in identifying symptom management strategies that predict their personal outcomes, and found reduced symptom levels associated with program use. Objective The aim of this study was to determine longitudinal associations between program use and functional impact of FM as measured by scores on a standardized assessment instrument, the Fibromyalgia Impact Questionnaire (FIQ). Methods Participants were self-identified as diagnosed with FM and recruited via online FM advocacy websites. Participants used an online health diary program (“SMARTLog”) to report symptom ratings, behaviors, and management strategies used. Based on single-subject analysis of the accumulated data over time, individualized recommendations (“SMARTProfile”) were then provided by the automated feedback program. Indices of program use comprised of cumulative numbers of SMARTLogs completed and SMARTProfiles received. Participants included in this analysis met a priori criteria of sufficient program use to generate SMARTProfiles (ie, ≥22 SMARTLogs completed). Users completed the FIQ at baseline and again each subsequent month of program use as follow-up data for analysis. Kendall tau-b, a nonparametric statistic that measures both the strength and direction of an ordinal association between two repeated measured variables, was computed between all included FIQ scores and both indices of program use for each subject at the time of each completed FIQ. Results A total of 76 users met the a priori use criteria. The mean baseline FIQ score was 61.6 (SD 14.7). There were 342 FIQ scores generated for longitudinal analysis via Kendall tau-b. Statistically significant inverse associations were found over time between FIQ scores and (1) the cumulative number of SMARTLogs completed (tau-b=–0.135, P<.001); and (2) the cumulative number of SMARTProfiles received (tau-b=–0.133, P<.001). Users who completed 61 or more SMARTLogs had mean follow-up scores of 49.9 (n=25, 33% of the sample), an 18.9% drop in FM impact. Users who generated 11 or more new SMARTProfiles had mean follow-up scores of 51.8 (n=23, 30% of the sample), a 15.9% drop. Conclusions Significant inverse associations were found between FIQ scores and both indices of program use, with FIQ scores declining as use increased. Based on established criteria for rating FM severity, the top one-third of users in terms of use had clinically significant reductions from “severe” to “moderate” FM impact. These findings underscore the value of self-management interventions with low burden, high usability, and high perceived relevance to the user. Trial Registration ClinicalTrials.gov NCT02515552; https://clinicaltrials.gov/ct2/show/NCT02515552

Regional Consumer Price Differences Within Germany

2010 ◽  
Vol 230 (6) ◽  
Author(s):  
Stefan Linz
Keyword(s):  
Price Index ◽  
Consumer Price Index ◽  
Sufficient Information ◽  
Price Development ◽  
Price Data ◽  
Ex Post ◽  
Consumer Prices ◽  
Information Demand ◽  
Price Comparisons ◽  
Over Time

SummaryEvery month the Consumer Price Index for Germany (CPI) provides comprehensive and detailed information regarding the price development over time. However, when differences in the price level across regions in Germany have to be analysed at a given point in time, sufficient information is not available at present.Interest in regional consumer price data is shown by both scientists and policy makers. Currently, this information demand is not met as regional consumer prices or regional price comparisons are not provided by the Federal Statistical Office in Germany.Data available from the German Consumer Price Index is suitable to follow the price development over time but cannot be used directly to compare price levels of different regions because the goods tracked may be different from region to region.The article first considers the information demand and gives an overview of existing price data. Its main part refers to an empirical study which was conducted to check if existing Consumer Price Index data can be used to calculate regional consumer price comparisons by ex-post selecting comparable products.

Using Hierarchical Linear Modeling to Examine Dynamic Performance Criteria Over Time

1997 ◽  
Vol 23 (6) ◽  
pp. 745-757 ◽  
Author(s):  
Diana L. Deadrick ◽  
Nathan Bennett ◽  
Craig J. Russell
Keyword(s):  
Hierarchical Linear Modeling ◽  
Dynamic Performance ◽  
Individual Performance ◽  
Performance Criteria ◽  
Practical Significance ◽  
Linear Modeling ◽  
Modeling Analysis ◽  
And Performance ◽  
Over Time ◽  
Dynamic Criteria

The selection literature has long debated the theoretical and practical significance of dynamic criteria. Recent research has begun to explore the nature of individual performance over time. This study contributes to this body of research through a hierarchical linear modeling analysis of dynamic criteria. The purpose of this study was to investigate the role of ability in explaining initial job performance, as well as the rate of improvement-or performance trend-among a sample of 408 sewing machine operators over a 24 week period. The results of a hierarchical linear modeling analysis suggest that ability measures are differentially related to initial performance and performance improvement trend.

scholarly journals Purchasing in service triads: the influence of contracting on contract management

2018 ◽  
Vol 38 (5) ◽  
pp. 1188-1204 ◽  
Author(s):  
Manda Broekhuis ◽  
Kirstin Scholten
Keyword(s):  
Social Contract ◽  
Contract Management ◽  
Content Type ◽  
Relational Structures ◽  
Ex Post ◽  
The Social ◽  
Source Data ◽  
Multiple Case ◽  
Formal Contract

Purpose The purpose of this paper is to investigate purchasing practices in service triads by exploring the link between ex ante contracting and ex post contract management and how these practices influence the satisfaction of buyers and suppliers (in concessionary arrangements) with their relationship in terms of meeting the needs of the buyer’s customers. Design/methodology/approach An in-depth exploratory multiple case study was carried out in a shop-in-shop context. Multi-method and multi-source data collection included interviews, documents and the contracts between buyer and supplier, providing evidence of the formal and relational structures in both the contracting and contract management stages. Findings The case findings provide evidence that behavioural standards established in a social contract are important prerequisites for the establishment and subsequent management of a formal contract. Second, this study shows that, when outsourcing core services in a service triad, a combination of performance-oriented and behavioural-oriented contract terms, covering a mix of topics related to both the customer-experience and to buyer-supplier-oriented aspects, contribute to aligning the buyer’s, suppliers’ and customers’ interests. The main findings are presented in a causal model and formulated as propositions. Originality/value This paper is one of the first studies to explore how core services are outsourced in a service triad. It provides evidence that the social contract between buyer and supplier influences the establishment of the formal contract as well as contract management, and a mix of contract topics, some related to the customers’ experience and others purely buyer-supplier oriented, contribute to the alignment of buyer’s, suppliers’ and customers’ interests.

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