Older South Sami women and men’s expectations regarding home healthcare in Sweden

Owing to the nature of their jobs, nurses all over the world experience burnout. The aim of this descriptive and correlational study was to describe the job characteristics, job satisfaction and burnout levels of home care nurses, and to predict what factors contributed to their job satisfaction and burnout levels. The study population consisted of 80 nurses working in home care units. Of them, 71 participated in the study. A socio-demographic questionnaire, the Minnesota Satisfaction Scale and the Maslach Burnout Inventory were used. Of the participants, 85.9 per cent were female, 56.4 per cent had a bachelor’s degree, and 46.5 per cent were employed in the public sector, 36.6 per cent in municipalities and 16.9 per cent in the private sector. The results revealed that their burnout levels for emotional exhaustion and personal accomplishment were high, and moderate for depersonalisation. Perceived work-related stress was more associated with emotional exhaustion and depersonalisation than with work satisfaction. Home healthcare nurses were suffering from high levels of burnout. Interventions are needed to improve job satisfaction, to reduce the burden of burnout among nurses, and to prevent them from leaving their jobs and retiring earlier.

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An Inquiry into Unionizing Home Healthcare Workers: Benefits for Workers and Patients

American Journal of Law & Medicine ◽

10.1017/s0098858800002355 ◽

2003 ◽

Vol 29 (1) ◽

pp. 117-138

Author(s):

Kristin Jenkins Gerrick

Keyword(s):

Health Insurance ◽

Chest Pain ◽

Healthcare Worker ◽

Healthcare Workers ◽

Constant Stress ◽

Home Healthcare ◽

Client Needs

Susan Carter has not been feeling well for days. She would like to see a doctor about her chest pain and wheezing, but Susan knows that missing work will leave her client without a replacement and, worse, she could be fired. Susan is a home healthcare worker in Illinois. Like many of her fellow workers, Susan has no health insurance and cannot afford to risk losing her job by going to see a doctor.Often, Susan feels unable to handle the constant stress of her job. She helps her clients bathe and dress, prepares their meals and assists them with their medications and housekeeping. Susan travels by bus daily to care for two to five clients. She carries a pager day and night in case a client needs help with a plugged catheter or another emergency. Susan often has to work seven days a week, and she steps in to care for patients whose caregivers have left for better-paying jobs.

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Occupational Exposures in the Homecare Environment: Piloting an Observation Tool

Home Health Care Management & Practice ◽

10.1177/1084822320986917 ◽

2021 ◽

pp. 108482232098691

Author(s):

Elizabeth Bien ◽

Kermit Davis ◽

Susan Reutman ◽

Gordon Gillespie

Keyword(s):

Home Care ◽

Patient Care ◽

Occupational Safety ◽

Occupational Exposures ◽

Care Patient ◽

Home Healthcare ◽

Occupational Hazards ◽

Cross Sectional ◽

Direct Observations ◽

Occupational Setting

The population of home healthcare workers (HHCWs) is rapidly expanding. Worker tasks and the unique home care environments place the worker at increased risks of occupational exposures, injury, and illness. Previous studies focusing on occupational exposures of HHCWs are limited to self-reports and would benefit from direct observations. The purpose of this study is to describe the occupational hazards observed in the unique work environment of home healthcare. HHCWs and home care patient participants were recruited from one home care agency in the Midwest to be observed during a routine home visit. This cross-sectional study used a trained occupational health nurse for direct observation of the occupational setting. Standardized observations and data collection were completed using the Home Healthcare Worker Observation Tool. The observer followed a registered nurse and occupational therapist into 9 patient homes observing visits ranging from 22 to 58 minutes. Hazards observed outside of and within the home include uneven pavements (n = 6, 67%), stairs without railings (n = 2, 22%), throw rugs (n = 7, 78%), unrestrained animals (n = 2, 22%), dust (n = 5, 56%), and mold (n = 2, 22%). Hand hygiene was observed prior to patient care 2 times (22%) and after patient care during 5 visits (56%). Observations have identified hazards that have the potential to impact workers’ and patients’ health. The direct observations of HHCWs provided opportunities for occupational safety professionals to understand the occupational exposures and challenges HHCWs encounter in the home care environment and begin to identify ways to mitigate occupational hazards.

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High Accuracy Heartbeat Detection from CW-Doppler Radar Using Singular Value Decomposition and Matched Filter

Sensors ◽

10.3390/s21113588 ◽

2021 ◽

Vol 21 (11) ◽

pp. 3588

Author(s):

Yuki Iwata ◽

Han Trong Thanh ◽

Guanghao Sun ◽

Koichiro Ishibashi

Keyword(s):

Heart Rate ◽

Singular Value Decomposition ◽

Continuous Wave ◽

Doppler Radar ◽

Matched Filter ◽

Singular Value ◽

Home Healthcare ◽

Body Motion ◽

Sitting Posture ◽

Value Decomposition

Heart rate measurement using a continuous wave Doppler radar sensor (CW-DRS) has been applied to cases where non-contact detection is required, such as the monitoring of vital signs in home healthcare. However, as a CW-DRS measures the speed of movement of the chest surface, which comprises cardiac and respiratory signals by body motion, extracting cardiac information from the superimposed signal is difficult. Therefore, it is challenging to extract cardiac information from superimposed signals. Herein, we propose a novel method based on a matched filter to solve this problem. The method comprises two processes: adaptive generation of a template via singular value decomposition of a trajectory matrix formed from the measurement signals, and reconstruction by convolution of the generated template and measurement signals. The method is validated using a dataset obtained in two different experiments, i.e., experiments involving supine and seated subject postures. Absolute errors in heart rate and standard deviation of heartbeat interval with references were calculated as 1.93±1.76bpm and 57.0±28.1s for the lying posture, and 9.72±7.86bpm and 81.3±24.3s for the sitting posture.

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A three-phase methodology for home healthcare routing and scheduling under uncertainty

Computers & Industrial Engineering ◽

10.1016/j.cie.2021.107416 ◽

2021 ◽

pp. 107416

Author(s):

Mahdyeh Shiri ◽

Fardin Ahmadizar ◽

Houra Mahmoudzade

Keyword(s):

Home Healthcare ◽

Routing And Scheduling ◽

Three Phase ◽

Scheduling Under Uncertainty

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Rehabilitation needs and mortality associated with the Covid-19 pandemic: a population-based study of all hospitalised and home-healthcare individuals in a Swedish healthcare region

EClinicalMedicine ◽

10.1016/j.eclinm.2021.100920 ◽

2021 ◽

Vol 36 ◽

pp. 100920

Author(s):

Anestis Divanoglou ◽

Assoc. Prof Kersti Samuelsson ◽

Prof. Emer. Rune Sjödahl ◽

Christer Andersson ◽

Prof. Richard Levi

Keyword(s):

Population Based ◽

Home Healthcare ◽

Population Based Study ◽

Rehabilitation Needs

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User knowledge factors that hinder the design of new home healthcare devices: investigating thirty-eight devices and their manufacturers

BMC Medical Informatics and Decision Making ◽

10.1186/s12911-021-01464-3 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Fan Yang ◽

Abdullah Al Mahmud ◽

Tao Wang

Keyword(s):

End Users ◽

Home Healthcare ◽

Success Factor ◽

User Research ◽

The Public ◽

Root Cause ◽

Potential Applications ◽

User Knowledge ◽

Key Success Factor ◽

Innovation Processes

Abstract Background The demand for home healthcare devices arises; however, many home healthcare devices on the market are not designed to reflect the needs and features of the end-users. This study explored the user knowledge factors that hindered the design of new home healthcare devices and the interrelationships between the factors. Methods The abovementioned factors were identified from analysing the project documents of thirty-eight carefully selected home healthcare devices produced by five manufacturers; followed by interviewing the thirty stakeholders playing key roles in developing the devices. Results The design of the home healthcare devices was influenced by (1) the user insights utilised in formulating project strategies; (2) the sources of user information; (3) the execution of user research; and (4) the formulation of the manufacturers’ principal innovation processes. Conclusions The users’ characteristics and needs were not sufficiently reflected in developing new home healthcare devices. One root cause was that the end-users were not perceived by the manufacturers as a key success factor in most cases, given that most of the devices were initiated following the public sector’s requests. Actual or potential applications of this study include the facilitation of the appropriate application of human factors methods in developing new home healthcare devices and the improvement of the user performance of the end-devices.

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