Pengaruh Praktek Manajemen Pada Nurse Satisfaction Serta Dampaknya Terhadap Nurse Loyalty Di Era Pandemi Covid-19 (Studi Empiris Pada Rumah Sakit Swasta XYZ di Jakarta)

Tenaga perawat merupakan tenaga kesehatan yang sangat krusial dalam berlangsungnya suatu pelayanan kesehatan di rumah sakit. Namun terdapat banyak faktor penyulit yang muncul di era pandemi Covid-19 yang menuntut manajemen rumah sakit untuk lebih adaptif dalam mengelola tenaga perawat di rumah sakit.. Penelitian ini bertujuan untuk menguji anteseden dari satisfaction yaitu healthcare planning, healthcare organizing, healthcare staffing, healthcare leading, dan healthcare controlling terhadap nurse loyalty di rumah sakit dalam situasi pandemi Covid-19. Data empiris yang di analisis dalam penelitian ini diperoleh dari rumah sakit XYZ. Sampel diperoleh menggunakan probability sampling yang memperoleh 204 data responden melalui kuesioner yang disebar secara online. Analisis dari data yang dikumpulkan dilakukan dengan menggunakan metode PLS-SEM. Hasil penelitian ini menunjukkan bahwa healthcare staffing, healthcare leading, dan healthcare controlling memilki pengaruh positif yang signifikan pada nurse satisfaction. Pengaruh langsung pada nurse satisfaction yang terkuat adalah healthcare staffing. Dampak positif dari nurse satisfaction terhadap nurse loyalty juga terbukti signifikan. Dengan demikian, teori kepuasan pegawai dalam pelayanan kesehatan dapat dikonfirmasi oleh penelitian ini. Model penelitian ini memiliki moderate predictive accuracy serta medium predictive relevance sehingga masih dapat dikembangkan lebih lanjut. Beberapa implikasi manajerial dapat diambil dari penelitian ini, serta rekomendasi bagi penelitian selanjutnya.

Rural citizen-patient priorities for healthcare in British Columbia, Canada: findings from a mixed methods study

Background The challenge of including citizen-patient voices in healthcare planning is exacerbated in rural communities by regional variation in priorities and a historical lack of attention to rural healthcare needs. This paper aims to address this deficit by presenting findings from a mixed methods study to understand rural patient and community priorities for healthcare. Methods We conducted a provincial survey of rural citizens-patients across British Columbia, Canada to understand their most pressing healthcare needs, supplemented by semi-structured interviews. Survey and interview participants were asked to articulate, in their own words, their communities’ most pressing healthcare needs, to explain the importance of these priorities to their communities, and to offer possible solutions to address these challenges. Open-text survey responses and interview data were analyzed thematically to elicit priorities of the data and their significance to answer the research questions. Results We received 1,287 survey responses from rural citizens-patients across BC, 1,158 of which were considered complete. We conducted nine telephone interviews with rural citizens-patients. Participants stressed the importance of local access to care, including emergency services, maternity care, seniors care, specialist services and mental health and substance use care. A lack of access to primary care services was the most pronounced gap. Inadequate local health services presented geographic, financial and social barriers to accessing care, led to feelings of vulnerability among rural patients, resulted in treatment avoidance, and deterred community growth. Conclusions Two essential prongs of an integration framework for the inclusion of citizen-patient voices in healthcare planning include merging patient priorities with population needs and system-embedded accountability for the inclusion of patient and community priorities.

Healthcare planning across healthcare sectors in Baden-Wuerttemberg, Germany: a stakeholder online survey to identify indicators

Background Stakeholders in the German state of Baden-Wuerttemberg agreed upon the central aims for healthcare planning. These include a focus on geographical districts; a comprehensive, cross-sectoral perspective on healthcare needs and services; and use of regional data for healthcare planning. Therefore, healthcare data at district level is needed. Nevertheless, decision makers face the challenge to make a selection from numerous indicators and frameworks, which all have limitations or do not well apply to the targeted setting. The aim of this study was to identify district level indicators to be used in Baden-Wuerttemberg for the purpose of cross-sectoral and needs-based healthcare planning involving stakeholders of the health system. Methods A conceptual framework for indicators was developed. A structured search for indicators identified 374 potential indicators in indicator sets of German and international institutions and agencies (n = 211), clinical practice guidelines (n = 50), data bases (n = 35), indicator databases (n = 25), published literature (n = 35), and other sources (n = 18). These indicators were categorised according to the developed framework dimensions. In an online survey, institutions of various stakeholders were invited to assess the relevance of these indicators from December 2016 until January 2017. Indicators were selected in terms of a median value of the assessed relevance. Results 22 institutions selected 212 indicators for the five dimensions non-medical determinants of health (20 indicators), health status (25), utilisation of the health system (34), health system performance (87), and healthcare provision (46). Conclusions Stakeholders assessed a large number of indicators as relevant for use in healthcare planning on district level. Trial registration Not applicable.

Feasibility of an Educational Program for Public Health Nurses to Promote Local Healthcare Planning: Protocol for a Pilot Randomized Controlled Trial

Background: The promotion of local healthcare planning is crucial to assist public health nurses in improving community health inequities. However, there is no effective educational program for developing relevant skills and knowledge among these nurses. Therefore, this study aims to assess the feasibility and acceptability of a newly developed web-based self-learning program, designed to promote the involvement of public health nurses in the local healthcare planning process. Methods: This pilot randomized control trial will randomly allocate eligible public health nurses to intervention and control wait-list groups [1:1]. The intervention group will be exposed to six web-based learning modules from July to October 2021. After collecting post-test data, the wait-list group will be exposed to the same modules to ensure learning equity. We will then evaluate the primary outcomes by implementing a validated and standardized scale designed to measure public health policy competencies both at baseline and post-intervention, while secondary outcomes will be measured on an action scale to demonstrate the necessity of healthcare activities. The third outcome will be knowledge and skills related to local healthcare planning by public health nurses. Participants will also provide feedback on both trial feasibility and the web-based self-learning program itself, which will help us identify improvement points for continual refinement. Feedback will be given through free descriptions. Discussion: This pilot study will assess the feasibility and preliminary effects of a web-based self-learning program designed to develop the competencies of public health nurses involved in local healthcare planning. We will examine all outcome scales and data collection procedures in preparation for a future definitive randomized controlled trial. This will provide preliminary data for an intervention aimed at improving relevant competencies among public health nurses who are tasked with resolving health inequities in their respective communities through local health planning. Trial registration: The protocol for this study was registered with the University Hospital Medical Information Network Clinical Trials Registry and approved by the International Committee of Medical Journal Editors (No. UMIN000043628, March 23, 2021).

Big Data’s Exploitation of Social Determinants of Health: Human Rights Implications

This Article acknowledges the necessity of including social determinants of health (SDH) data in healthcare planning and treatment but highlights the lack of regulation around the collection of SDH data and potential for violating consumers’ basic rights to be treated equally, protected from discrimination, and to have their privacy respected. The Article analyzes different approaches from the U.S. and EU and proffers the global application of the GDPR plus data human rights provisions as the most sustainable option in a world where technology is ever-changing.

A retrospective review of the contribution of rare diseases to paediatric mortality in Ireland

Aims To ascertain the number of paediatric deaths (0–14 years) with an underlying rare disease in the Republic of Ireland between the years 2006–2016, and to analyse bed usage by a paediatric cohort of rare disease inpatients prior to in-hospital death. Background Rare diseases are often chronically debilitating and sometimes life-threatening diseases, with the majority (69.9%) of rare diseases being of paediatric onset. The Orphanet database contains information on 6172 unique rare diseases. Under-representation of rare diseases in hospital healthcare coding systems leads to a paucity of rare disease epidemiological data required for healthcare planning. Studies have cited variable incidence rates for rare disease, however the burden of rare diseases to healthcare services still remains unclear. This study represents a thorough effort to identify the percentage of child mortality and paediatric bed usage attributable to rare diseases in the Republic of Ireland, thus addressing a major gap in the rare disease field. Methods Retrospective analysis of paediatric death registration details for the Republic of Ireland in the 11-year period 2006–2016 from the National Paediatric Mortality Register. Data was subcategorised as Neonatal (0–28 days), Post Neonatal (29 days < 1 year) and older (1–14 years). Bed usage data (ICD-10 code, narrative and usage) of paediatric inpatients who died during hospitalisation from January 2015 to December 2016 was extracted from the National Quality Assurance Improvement System of in-patient data. Orphacodes were assigned to rare disease cases from ICD-10 codes or diagnostic narrative of both datasets. Results There were 4044 deaths registered from 2006–2016, aged < 15 years, of these 2368 (58.6%) had an underlying rare disease. Stratifying by age group; 55.6% (1140/2050) of neonatal deaths had a rare disease, 57.8% (450/778) post-neonatal, and 64% (778/1216) of children aged 1–14 years. Mortality coding using ICD-10 codes identified 42% of rare disease cases with the remainder identified using death certificate narrative records. Rare disease patients occupied 87% of bed days used by children < 15 years who died during hospitalisation from January 2015 to December 2016. Conclusion Additional routine rare disease coding is necessary to identify rare diseases within Irish healthcare systems to enable better healthcare planning. Rare disease patients are overrepresented in paediatric mortality statistics and in-patient length of stay during hospital admission prior to death.

Caste-washing the healthcare system will do little to address its discriminatory practices

Bullying, discrimination and harassment within the healthcare system in India is well known and urgent measures have to be put in place to address them. However locating caste-based harassment as general bullying would be a disservice to the thousands of young people from vulnerable communities who often face extreme harassment within the system. Naming this as caste based harassment would be the first step to addressing it. There is an urgent need for reservation policies to be strengthened to allow representation of vulnerable communities at all levels of healthcare planning, implementation and evaluation.

A Retrospective Review of the Contribution of Rare Diseases to Paediatric Mortality in Ireland

Aims: To ascertain the number of paediatric deaths (0-14 years) with an underlying rare disease in the Republic of Ireland between the years 2006-2016, and to analyse bed usage by a paediatric cohort of rare disease inpatients prior to in-hospital death.Background: Rare diseases are often chronically debilitating and sometimes life-threatening diseases, with the majority (69.9%) of rare diseases being of paediatric onset. The Orphanet database contains information on 6172 unique rare diseases. Under-representation of rare diseases in hospital healthcare coding systems leads to a paucity of rare disease epidemiological data required for healthcare planning. Studies have cited variable incidence rates for rare disease, however the burden of rare diseases to healthcare services still remains unclear. This study represents a thorough effort to identify the percentage of child mortality and paediatric bed usage attributable to rare diseases in the Republic of Ireland, thus addressing a major gap in the rare disease field.Methods: Retrospective analysis of paediatric death registration details for the Republic of Ireland in the 11-year period 2006-2016 from the National Paediatric Mortality Register. Data was subcategorised as Neonatal (0-28 days), Post Neonatal (29 days < 1 year) and older (1-14 years). Bed usage data (ICD-10 code, narrative and usage) of paediatric inpatients who died during hospitalisation from January 2015 to December 2016 was extracted from the National Quality Assurance Intelligence System of in-patient data. Orphacodes were assigned to rare disease cases from ICD-10 codes or diagnostic narrative of both datasets.Results: There were 4044 deaths registered from 2006-2016, aged <15yrs, of these 2368 (58.6%) had an underlying rare disease. Stratifying by age group; 55.6% (1140/2050) of neonatal deaths had a rare disease, 57.8% (450/778) post-neonatal, and 64% (778/1216) of children aged 1-14 years. Mortality coding using ICD-10 codes identified 42% of rare disease cases with the remainder identified using death certificate narrative records. Rare disease patients occupied 87% of bed days used by children <15 years who died during hospitalisation from January 2015 to December 2016.Conclusion: Additional routine rare disease coding is necessary to identify rare diseases within Irish healthcare systems to enable better healthcare planning. Rare disease patients are overrepresented in paediatric mortality statistics and in-patient length of stay during hospital admission prior to death.

A Retrospective Review of the Contribution of Rare Diseases to Paediatric Mortality in Ireland

Aims: To ascertain the number of paediatric deaths (0-14 years) with an underlying rare disease (RD) in the Irish Republic between the years 2006-2016, and to analyse bed usage by a paediatric cohort of RD inpatients prior to in-hospital death.Background: Rare diseases are often chronically debilitating and sometimes life-threatening diseases, affecting fewer than 5 per 10,000 people in the EU. Although individually rare, collectively RDs are common, with a prevalence of 3.5-5.9% of the population. Under-representation of RDs in hospital healthcare coding systems leads to a paucity of RD epidemiological data required for healthcare planning. Studies have cited variable incidence rates for RD, however the burden of RDs to healthcare services still remains unclear. This study represents a thorough effort to identify the percentage of child mortality and paediatric bed usage attributable to rare diseases in Ireland addressing a major gap in the RD field.Methods: Retrospective analysis of paediatric death registration details for the Irish Republic in the 11-year period 2006-2016 from the National Paediatric Mortality Register. Data was subcategorised as Neonatal (0-28 days), Post Neonatal (29 days < 1 year) and older (1-14 years). Bed usage data (ICD-10 code, narrative and usage) of paediatric inpatients who died during hospitalisation from January 2015 to December 2016 was extracted from the National Quality Assurance Intelligence System of in-patient data. Orphacodes were assigned to RD cases from narrative records of both datasets.Results: There were 4044 deaths registered from 2006-2016, aged <15yrs, of these 2368 (58.6%) had an underlying RD. Stratifying by age group; 55.6% (1140/2050) of neonatal deaths had an RD, 57.8% (450/778) post-neonatal, and 64% (778/1216) of children >1yr. Mortality coding using ICD-10 codes identified 42% of RD cases with the remainder identified using death certificate narrative records. RD patients occupied 87% of bed days used by children <15 years who died during hospitalisation from January 2015 to December 2016.Conclusion: Additional routine RD coding is necessary to identify RDs within Irish healthcare systems to enable better healthcare planning. RD patients are overrepresented in paediatric mortality statistics and inpatient length of stay during hospital admission prior to death.