Oregon Public Health Nurse Home Visiting Report: Babies First! Clients Experience with Care

2004 ◽  
Author(s):  
Joyce K. Edmonds ◽  
Alfred E. Ferro ◽  
Eve D. Pepos
2006 ◽  
Vol 97 (3) ◽  
pp. 191-196 ◽  
Author(s):  
Wendy A. Sword ◽  
Paul D. Krueger ◽  
M. Susan Watt

1993 ◽  
Vol 38 (6) ◽  
pp. 436-442 ◽  
Author(s):  
Harriet L. Macmillan ◽  
B. Helen Thomas

The purpose of this pilot study was to assess the feasibility of using public health nurse home visitations for the tertiary prevention of child maltreatment. The intervention was designed to provide support to the parents, education about child-rearing and child development and to assist families obtaining help from other services. Eighteen families referred from the Hamilton-Wentworth child protective agencies participated in the intervention. Enrolment criteria included first episode of suspected or verified child physical abuse or neglect, ongoing involvement with a child protective agency, index child less than 12 years of age and remaining in the home, and agreement to participate in the study. Home visits were provided weekly on average over a period of six months and the nurses were available by telephone. Pilot assessment included review of medical records, semi-structured interviews to gather background information, checklists of child-rearing attitudes, child behaviour and development. The participants were interviewed about their response to the intervention. The high degree of mobility of the families posed a problem in recruitment. Nevertheless, the public health nurses were able to develop a working alliance with 14 of the 18 families (77%) who participated. The participants gave permission for review of their medical records and reported that the methods of assessment were acceptable. The authors conclude that the intervention and assessment procedure are feasible and acceptable for preventing the recurrence of child maltreatment. Any decision about effectiveness of the intervention awaits a longitudinal, controlled trial.


2016 ◽  
Vol 39 (1) ◽  
pp. 127-146 ◽  
Author(s):  
Karen A. Monsen ◽  
Jessica J. Peterson ◽  
Michelle A. Mathiason ◽  
Era Kim ◽  
Brian Votava ◽  
...  

Visualization is a Big Data method for detecting and validating previously unknown and hidden patterns within large data sets. This study used visualization techniques to discover and test novel patterns in public health nurse (PHN)–client–risk–intervention–outcome relationships. To understand the mechanism underlying risk reduction among high risk mothers, data representing complex social interventions were visualized in a series of three steps, and analyzed with other important contextual factors using standard descriptive and inferential statistics. Overall, client risk decreased after clients received personally tailored PHN services. Clinically important and unique PHN–client–risk–intervention–outcome patterns were discovered through pattern detection using streamgraphs, heat maps, and parallel coordinates techniques. Statistical evaluation validated that PHN intervention tailoring leads to improved client outcomes. The study demonstrates the importance of exploring data to discover ways to improve care quality and client outcomes. Further research is needed to examine additional factors that may influence PHN–client–risk–intervention–outcome patterns, and to test these methods with other data sets.


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