Population Aging: Implications for Nurse Practitioners

Leuven, Karen A. Van

doi:10.1016/j.nurpra.2012.02.006

Cited by 8 publications

(5 citation statements)

References 15 publications

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“…Owing to the convenient transportation, residents frequently seek cross-regional medical services (33, 62). In general, the elderly with chronic or mobility-impaired illnesses receive long-term treatment together with overwhelming nursing demands in local health institutions (63,64), which possibly induce hiring of nurses from neighboring regions. In addition, negative spillover effects of education expenditure were observed on the HRDI_P and HRDI_N of neighboring regions.…”

Section: Discussionmentioning

confidence: 99%

Finding flaws in the spatial distribution of health workforce and its influential factors: An empirical analysis based on Chinese provincial panel data, 2010–2019

Bai

Huang

et al. 2022

Front. Public Health

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BackgroundThe maldistributions of the health workforce showed great inconsistency when singly measured by population quantity or geographic area in China. Meanwhile, earlier studies mainly employed traditional econometric approaches to investigate determinants for the health workforce, which ignored spillover effects of influential factors on neighboring regions. Therefore, we aimed to analyze health workforce allocation in China from demographic and geographic perspectives simultaneously and then explore the spatial pattern and determinants for health workforce allocation taking account of the spillover effect.MethodsThe health resource density index (HRDI) equals the geometric mean of health resources per 1,000 persons and per square kilometer. First, the HRDI of licensed physicians (HRDI_P) and registered nurses (HRDI_N) was calculated for descriptive analysis. Then, global and local Moran's I indices were employed to explore the spatial features and aggregation clusters of the health workforce. Finally, four types of independent variables were selected: supportive resources (bed density and government health expenditure), healthcare need (proportion of the elderly population), socioeconomic factors (urbanization rate and GDP per capita), and sociocultural factors (education expenditure per pupil and park green area per capita), and then the spatial panel econometric model was used to assess direct associations and intra-region spillover effects between independent variables and HRDI_P and HRDI_N.ResultsGlobal Moran's I index of HRDI_P and HRDI_N increased from 0.2136 (P = 0.0070) to 0.2316 (P = 0.0050), and from 0.1645 (P = 0.0120) to 0.2022 (P = 0.0080), respectively. Local Moran's I suggested spatial aggregation clusters of HRDI_P and HRDI_N. For HRDI_P, bed density, government health expenditure, and GDP had significantly positive associations with local HRDI_P, while the proportion of the elderly population and education expenditure showed opposite spillover effects. More precisely, a 1% increase in the proportion of the elderly population would lead to a 0.4098% increase in HRDI_P of neighboring provinces, while a 1% increase in education expenditure leads to a 0.2688% decline in neighboring HRDI_P. For HRDI_N, the urbanization rate, bed density, and government health expenditure exerted significantly positive impacted local HRDI_N. In addition, the spillover effect was more evident in the urbanization rate, with a 1% increase in the urbanization rate relating to 0.9080% growth of HRDI_N of surrounding provinces. Negative spillover effects of education expenditure, government health expenditure, and elderly proportion were observed in neighboring HRDI_N.ConclusionThere were substantial spatial disparities in health workforce distribution in China; moreover, the health workforce showed positive spatial agglomeration with a strengthening tendency in the last decade. In addition, supportive resources, healthcare needs, and socioeconomic and sociocultural factors would affect the health labor configuration not only in a given province but also in its nearby provinces.

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Section: Discussionmentioning

confidence: 99%

Finding flaws in the spatial distribution of health workforce and its influential factors: An empirical analysis based on Chinese provincial panel data, 2010–2019

Bai

Huang

et al. 2022

Front. Public Health

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“…Different discourses related to the increasing demand for services for an aging population are present in the literature. Some describe the rising number of elderly as a “silver tsunami” (Van Leuven, 2012); thus, pointing out the threat old persons may represent for existing health care and social services that cannot deal with the demands and expenses involved. Other representations range from vulnerable, dependent groups (Weicht, 2011) to “ageless” consumers of health and lifestyle services (Katz and Marshall, 2003) or reflect a sociocultural pressure to conform to youthful appearance norms to avoid negative stereotypes associated with looking older (Jankowski et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

I wonder if robots will take care of me when I am old: Positive aging representations of professionals working in health promotion services

Crăciun

Flick

2016

J Health Psychol

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How the social and institutional context is structured and represented by its actors has an impact on positive aging representations. This qualitative study explores professionals' views on positive aging, how they promote positive aging in their practice and what disparities occur between their discourses and the actual practice of promoting positive aging. Interviews were conducted with professionals from different active aging promotion services and analyzed with thematic coding. Findings show professionals hold negative views on aging while trying to promote positive views in their work, illustrating an existing theory-practice gap. Strategies used in practice can be integrated in existing agency models and inform interventions and active aging policies.

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“…Berdasarkan prediksi, pada tahun 2030, satu dari delapan orang di dunia, dapat mencapai usia di atas 65 tahun. 1 Hal tersebut menggambarkan bahwa jumlah penduduk lanjut usia atau lansia akan semakin meningkat seiring bertambahnya tahun, termasuk di Indonesia yang diperkirakan pada tahun 2025 mencapai 32 sampai 36 juta orang atau 11,34 % dari populasi penduduk. 2 Jumlah lansia yang semakin meningkat merupakan suatu hal yang harus menjadi perhatian karena lansia dalam aspek fisik, psikologis dan sosialnya akan mengalami penurunan fungsi pula.…”

Section: Pendahuluanunclassified

Pengaruh Relaksasi Otot Progresif dengan Musik terhadap Kualitas Tidur Lansia di Posyandu Lansia “Anjasmoro” Kelurahan Sukorame Kediri

Setyoadi¹,

Lestari²,

Kusuma³

2016

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Kualitas tidur merupakan kepuasan tidur yaitu suatu keadaan istirahat badan dan pikiran (tidur nyenyak atau pulas) yang ditandai dengan badan terasa segar ketika bangun tidur. Kualitas tidur buruk akan mengakibatkan badan terasa lelah, tanda-tanda vital tidak stabil meskipun tidur dalam waktu yang lama. Tujuan penelitian ini adalah untuk menganalisis pengaruh relaksasi otot progresif dengan musik terhadap kualitas tidur lansia di Posyandu Lansia "Anjasmoro" Kelurahan Sukorame Kota Kediri. Penelitian ini menggunakan desain penelitian pre-experimental. Sampel penelitian adalah 17 orang lansia. Variabel bebas dalam penelitian ini adalah relaksasi otot progresif dengan musik. Variabel tergantung adalah kualitas tidur. Pengumpulan data dilakukan dengan cara observasi dan dianalisis menggunakan uji Wilcoxon. Hasil penelitian menunjukkan adanya pengaruh yang signifikan dari relaksasi otot progresif dengan musik terhadap kualitas tidur pada lansia di Posyandu Lansia Kelurahan Sukorame Kota Kediri (p = 0,000) Kesimpulan penelitian ini adalah relaksasi otot progresif dengan musik dapat meningkatkan kualitas tidur lansia.

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Population Aging: Implications for Nurse Practitioners

Cited by 8 publications

References 15 publications

Finding flaws in the spatial distribution of health workforce and its influential factors: An empirical analysis based on Chinese provincial panel data, 2010–2019

Finding flaws in the spatial distribution of health workforce and its influential factors: An empirical analysis based on Chinese provincial panel data, 2010–2019

I wonder if robots will take care of me when I am old: Positive aging representations of professionals working in health promotion services

Pengaruh Relaksasi Otot Progresif dengan Musik terhadap Kualitas Tidur Lansia di Posyandu Lansia “Anjasmoro” Kelurahan Sukorame Kediri

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