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Predictors of district nursing care utilisation for community-living people in the Netherlands: an exploratory study using claims data

OBJECTIVE: To explore predictors of district nursing care utilisation for community-living (older) people in the Netherlands using claims data. To cope with growing demands in district nursing care, knowledge about the current utilisation of district nursing care is important. SETTING: District nurs...

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Autores principales: Veldhuizen, Jessica Desirée, Mikkers, Misja Chiljon, Schuurmans, Marieke J, Bleijenberg, Nienke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8422312/
https://www.ncbi.nlm.nih.gov/pubmed/34489273
http://dx.doi.org/10.1136/bmjopen-2020-047054
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author Veldhuizen, Jessica Desirée
Mikkers, Misja Chiljon
Schuurmans, Marieke J
Bleijenberg, Nienke
author_facet Veldhuizen, Jessica Desirée
Mikkers, Misja Chiljon
Schuurmans, Marieke J
Bleijenberg, Nienke
author_sort Veldhuizen, Jessica Desirée
collection PubMed
description OBJECTIVE: To explore predictors of district nursing care utilisation for community-living (older) people in the Netherlands using claims data. To cope with growing demands in district nursing care, knowledge about the current utilisation of district nursing care is important. SETTING: District nursing care as a part of primary care. PARTICIPANTS: In this nationwide study, claims data were used from the Dutch risk adjustment system and national information system of health insurers. Samples were drawn of 5500 pairs of community-living people using district nursing care (cases) and people not using district nursing care (controls) for two groups: all ages and aged 75+ years (total N=22 000). OUTCOME MEASURES: The outcome was district nursing care utilisation and the 114 potential predictors included predisposing factors (eg, age), enabling factors (eg, socioeconomic status) and need factors (various healthcare costs). The random forest algorithm was used to predict district nursing care utilisation. The performance of the models and importance of predictors were calculated. RESULTS: For the population of people aged 75+ years, most important predictors were older age, and high costs for general practitioner consultations, aid devices, pharmaceutical care, ambulance transportation and occupational therapy. For the total population, older age, and high costs for pharmaceutical care and aid devices were the most important predictors. CONCLUSIONS: People in need of district nursing care are older, visit the general practitioner more often, and use more and/or expensive medications and aid devices. Therefore, close collaboration between the district nurse, general practitioner and the community pharmacist is important. Additional analyses including data regarding health status are recommended. Further research is needed to provide an evidence base for district nursing care to optimise the care for those with high care needs, and guide practice and policymakers’ decision-making.
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spelling pubmed-84223122021-09-22 Predictors of district nursing care utilisation for community-living people in the Netherlands: an exploratory study using claims data Veldhuizen, Jessica Desirée Mikkers, Misja Chiljon Schuurmans, Marieke J Bleijenberg, Nienke BMJ Open Nursing OBJECTIVE: To explore predictors of district nursing care utilisation for community-living (older) people in the Netherlands using claims data. To cope with growing demands in district nursing care, knowledge about the current utilisation of district nursing care is important. SETTING: District nursing care as a part of primary care. PARTICIPANTS: In this nationwide study, claims data were used from the Dutch risk adjustment system and national information system of health insurers. Samples were drawn of 5500 pairs of community-living people using district nursing care (cases) and people not using district nursing care (controls) for two groups: all ages and aged 75+ years (total N=22 000). OUTCOME MEASURES: The outcome was district nursing care utilisation and the 114 potential predictors included predisposing factors (eg, age), enabling factors (eg, socioeconomic status) and need factors (various healthcare costs). The random forest algorithm was used to predict district nursing care utilisation. The performance of the models and importance of predictors were calculated. RESULTS: For the population of people aged 75+ years, most important predictors were older age, and high costs for general practitioner consultations, aid devices, pharmaceutical care, ambulance transportation and occupational therapy. For the total population, older age, and high costs for pharmaceutical care and aid devices were the most important predictors. CONCLUSIONS: People in need of district nursing care are older, visit the general practitioner more often, and use more and/or expensive medications and aid devices. Therefore, close collaboration between the district nurse, general practitioner and the community pharmacist is important. Additional analyses including data regarding health status are recommended. Further research is needed to provide an evidence base for district nursing care to optimise the care for those with high care needs, and guide practice and policymakers’ decision-making. BMJ Publishing Group 2021-09-06 /pmc/articles/PMC8422312/ /pubmed/34489273 http://dx.doi.org/10.1136/bmjopen-2020-047054 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Nursing
Veldhuizen, Jessica Desirée
Mikkers, Misja Chiljon
Schuurmans, Marieke J
Bleijenberg, Nienke
Predictors of district nursing care utilisation for community-living people in the Netherlands: an exploratory study using claims data
title Predictors of district nursing care utilisation for community-living people in the Netherlands: an exploratory study using claims data
title_full Predictors of district nursing care utilisation for community-living people in the Netherlands: an exploratory study using claims data
title_fullStr Predictors of district nursing care utilisation for community-living people in the Netherlands: an exploratory study using claims data
title_full_unstemmed Predictors of district nursing care utilisation for community-living people in the Netherlands: an exploratory study using claims data
title_short Predictors of district nursing care utilisation for community-living people in the Netherlands: an exploratory study using claims data
title_sort predictors of district nursing care utilisation for community-living people in the netherlands: an exploratory study using claims data
topic Nursing
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8422312/
https://www.ncbi.nlm.nih.gov/pubmed/34489273
http://dx.doi.org/10.1136/bmjopen-2020-047054
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