Motivating Regulatory Compliance: Monitoring, Enforcement, and Sanctions

Some fishery characteristics such as total discards are often inferred from data collected by at-sea observers on a subset of fishing trips. Such inference is predicated on the assumption that observed and unobserved trips are statistically exchangeable. There are two principal reasons why this may not be so. A deployment effect results from nonrandom distribution of observers among sampling units. An observer effect results from changes in fishing practice or location when observers are present. Both effects can impact the precision and accuracy of fishery-level inferences drawn from observer data, though this is rarely addressed quantitatively. We found evidence for deployment and observer effects in Gulf of St. Lawrence fisheries. The impact of deployment bias was further quantified by resampling from fisheries data collected with 100% observer coverage. We conclude that the nature of the effects observed in our study preclude merely correcting observer-collected catch data for possible biases and imprecision. Furthermore, regulatory compliance monitoring by observers in the existing program may not be completely effective. Modifications to program structure would therefore be beneficial and some suggestions are evaluated in this paper.

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An integrated framework for control system simulation and regulatory compliance monitoring

International Journal of Critical Infrastructure Protection ◽

10.1016/j.ijcip.2011.03.002 ◽

2011 ◽

Vol 4 (1) ◽

pp. 41-53 ◽

Cited By ~ 13

Author(s):

William Mahoney ◽

Robin A. Gandhi

Keyword(s):

Control System ◽

System Simulation ◽

Regulatory Compliance ◽

Compliance Monitoring ◽

Integrated Framework

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Communication Disordered: Program Implementation in Long-Term Care

Perspectives of the ASHA Special Interest Groups ◽

10.1044/persp1.sig15.64 ◽

2016 ◽

Vol 1 (15) ◽

pp. 64-67

Author(s):

George Barnes ◽

Joseph Salemi

Keyword(s):

Program Implementation ◽

Long Term Care ◽

Family Satisfaction ◽

Regulatory Compliance ◽

Care Staff ◽

Term Care ◽

Staff Members ◽

Change Policy

The organizational structure of long-term care (LTC) facilities often removes the rehab department from the interdisciplinary work culture, inhibiting the speech-language pathologist's (SLP's) communication with the facility administration and limiting the SLP's influence when implementing clinical programs. The SLP then is unable to change policy or monitor the actions of the care staff. When the SLP asks staff members to follow protocols not yet accepted by facility policy, staff may be unable to respond due to confusing or conflicting protocol. The SLP needs to involve members of the facility administration in the policy-making process in order to create successful clinical programs. The SLP must overcome communication barriers by understanding the needs of the administration to explain how staff compliance with clinical goals improves quality of care, regulatory compliance, and patient-family satisfaction, and has the potential to enhance revenue for the facility. By taking this approach, the SLP has a greater opportunity to increase safety, independence, and quality of life for patients who otherwise may not receive access to the appropriate services.

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Knochenumbaumarker

Osteologie/Osteology ◽

10.1055/s-0037-1622068 ◽

2015 ◽

Vol 24 (04) ◽

pp. 215-218

Author(s):

B. Obermayer-Pietsch ◽

V. Schwetz

Keyword(s):

Cathepsin K ◽

Alkalische Phosphatase ◽

Compliance Monitoring ◽

Saure Phosphatase

ZusammenfassungKnochenumbauparameter können zusätzliche Informationen zur Abschätzung der Dynamik des Knochenstoffwechsels in der Osteoporosediagnostik nebst Knochendichte, den klinischen Daten und Routine-Laborparametern liefern. Zu den Aufbaumarkern des Knochenstoffwechsels zählen Prokollagen Typ 1 N-terminales Propeptid (P1NP), die knochenspezifische alkalische Phosphatase (bALP) und Osteokalzin (OC), zu den Abbaumarkern des Knochenstoffwechsels gehören Pyridinolin (PYD) und Desoxypyridinolin (DPD), N-terminales Kollagen-Typ-I-Telopeptid (NTX) und C-terminales Kollagen-Typ-ITelopeptid (CTX), β-CrossLaps (β-CTX), die Tartrat-resistent saure Phosphatase (TRAP5b) sowie Cathepsin K. Das Einsatzgebiet liegt vor allem in der Verlaufsbeurteilung nach Einleitung einer Osteoporosetherapie und im Compliance-Monitoring. Knochenumbaumarker stellen jedoch derzeit keine alleinige Entscheidungsgrundlage zur Initiierung einer Therapie dar. In der Hämatoonkologie scheinen hohe Knochenabbaumarker mit einem höheren Rezidivrisiko bzw. einem höheren Risiko für skelettassoziierte Ereignisse verbunden zu sein.

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