A possible way out of poor healthcare resulting from demographic problems: need-orientated home-based-nursing-care and nursing-home-care

Using a new interrater reliability method to test the modified Oulu Patient Classification instrument in home health care

Aim

To test the interrater reliability of the modified Oulu Patient Classification instrument, using a multiple parallel classification method based on oral case presentations in home health care in Norway.

Design

Reliability study.

Methods

Data were collected at two municipal home healthcare units during 2013-2014. The reliability of the modified OPCq instrument was tested using a new multiple parallel classification method. The data material consisted of 2 010 parallel classifications, analysed using consensus in per cent and Cohen's kappa. Cronbach's alpha was used to measure internal consistency.

Results

For parallel classifications, consensus varied between 64.78-77.61%. Interrater reliability varied between 0.49-0.69 (Cohen's kappa), the internal consistency between 0.81-0.94 (Cronbach's alpha). Analysis of the raw scores showed 27.2% classifications had the same points, 39.1% differed one point, 17.9% differed two points and 16.5% differed ≥3 points.

Assessment of dependency levels of older people in the community and measurement of nursing workload

AIM

This paper is a report of a study to explore the relationship between the dependency levels of older people who are part of the community nurse's caseload and the volume and nature of nursing input required.

BACKGROUND

International healthcare policy has consistently emphasized the reorientation of health services from hospital to community care. It is necessary to determine ways to use nursing resources appropriately to meet service needs of an increasing older population.

METHOD

This quantitative study was conducted in one region of Ireland, which included a city and sparsely populated rural areas. Over a 4-week period in 2004, a volunteer sample of 44 nurses assessed all older people (1482) on their community caseload using the Community Client Need Classification System. In addition, participants recorded the amount of care time spent with each individual client by all members of the community nursing team.

FINDINGS

The vast majority of clients were seen in their own homes (85%, n = 1259). On the 5-point Community Client Need Classification System, the majority (39%, n = 571) were assessed at level 2 (low level of need) and 4% (n = 61) at level 5 (high level of need). As client need level increased, the consumption of community nursing time also increased.

CONCLUSION

The tool was successful in discriminating between care needs levels of older people and may be useful in predicting the type and amount of human resources required by individuals who need community nursing services. Lack of information on demographic variables may limit the transferability of these findings.