Evaluation Items for Community-Based Health Care Focusing on Social Aspects: A Literature Review

The progressive aging of society has become a global concern, and is expected to lead to the development of effective, sustainable, person-centered, integrated community-based care systems. However, there is insufficient evidence regarding effective integrated community-based care. In particular, few studies have focused on social aspects of the community environment related to elderly health. This study aimed to consider social aspects as evaluation items, focusing particularly on social determinants from the perspective of community-dwelling people, to explore truly effective integrated community-based care to improve elderly health. The definition of social determinants means social cohesion in social and community contexts. A literature review of English articles published in peer-reviewed journals up to October 2019 was conducted using PubMed, MEDLINE, and CINAHL with the following search terms: “social cohesion,” “elderly health,” “mental health” and “community.” Identified articles were screened based on title and abstract, and selected articles were subjected to full-text assessment and critical review. All references cited in the selected articles were also reviewed. The following inclusion criteria were used: 1) studies targeting community-dwelling elderly people or community-dwelling people including elderly people as participants;2) studies with clear descriptions of social factors in the Methods section;and 3) studies with clear descriptions of health-related items in the Methods section. From the 21 articles analyzed, of which 9 articles defined social determinants as social cohesion in social and community context, 37 items were extracted as social aspects at the community level that reflect the perspective of residents. These items can be developed as evaluation items for community-based health care outcomes through consensus among community health care providers and further investigation.

Suicide Prevention in Mental Health Services—A Qualitative Study of a Web Based Program for Mental Health Care Staff

Background: Further strategies are needed to deal with the high losses to suicide. New modalities should be explored within the context of suicide prevention. Aim: The aim of the study was to evaluate participants’ experiences of a web based program for mental health care staff, including its potential clinical relevance. Methods: Nineteen participants participated in five focus groups. Data was analyzed using content analysis. Results: The analysis showed participants’ experiences of the program’s contents and format (“Web Based Modules”, “Discussion Groups”) and practical value (“Clinical Relevance and Use”, “Effects on Communication and Climate”). Conclusions: The program partly increased awareness about risk factors and the importance of inquiring about suicide ideation/plans and documenting suicide assessments. Experiences of the clinical value were varying and may be increased through potential enhancements.

Lifestyle, Biological Risk Markers, Morbidity and Mortality in a Cohort of Men 33 - 42 Years Old at Baseline, after 24-Year Follow-Up of a Primary Health Care Intervention

Objective: To study changes in lifestyle and biological risk markers in a 24-year follow-up study, and occurrences of cardiovascular diseases (CVD), cancer and total mortality from official registers. Design: A 24-year follow-up survey and register study of a cohort of men 33 - 42 years old, examined with a health profile at baseline. With the health profile based on lifestyle, biological risk markers, self-rated mental stress and mental health, the men were separated in different risk groups. Setting: Primary health care center of Habo in Sweden. Subjects: All 757 men, 33 - 42 years old, and living in the community of Habo in Sweden in 1985. Main Outcome Measures: Lifestyle, biological risk markers, morbidity from CVD and cancer, and total mortality. Results: Smoking and physical activity decreased during follow-up time while alcohol consumption increased. Biological risk markers, except diastolic blood pressure, deteriorated significantly with age. Based on three- lifestyle groups, 16 % of the men had a more favorable lifestyle and 19% had a less favorable life-style at follow-up compared with baseline. The men, who had been classified as high-risk, based on the health profile at baseline, had a significantly higher incidence of CVD and cancer in the register study compared to men in a low-risk group. The baseline non-participant group had a significantly higher incidence of CVD and a higher mortality compared to the low-risk group. Conclusion: A health profile with a combination of lifestyle factors and biological risk markers can already at the age of 33 - 42 years predict incidence of CVD and cancer on group level among men after 24 years.

Inter-organizational cooperation: A rehabilitation project based on cooperation between health care and three social service agencies

Purpose: Cooperation between organizations is an often-suggested remedy for handling unsolved borderland problems. However, actual projects aiming at cooperation are seldom very successful. The purpose here is to highlight obstacles related to cooperation between different organizations based on a case study of a rehabilitation project where health care and several social service organizations (social insurance, social welfare, and the local employment agency) were involved. Data were gathered through participation and interviews. Findings: It seems that efficient cooperation requires an understanding of the participating organizations’ differences in work logic as well as work practices. Furthermore, only certain fairly standardized “normal” problems may be handled through organized cooperation while non-routine exceptional problem requires a more fully integrated work organization. Implications: Obstacles to cooperation are highlighted and ways to improve the possibilities of cooperation between organizations are suggested although such possibilities are generally hampered by differences in work logic.

Impact of community public health care on treatment effect,health cognition,and self-management in patients with type 2 diabetes

BACKGROUND At present,China has become the country with the largest number of individuals with diabetes mellitus(DM)in the world,with a total of approximately 140 million patients,the majority of whom have type 2 DM(T2DM).Based on conven-tional nursing methods,community home care has important clinical significance in controlling blood sugar and disease progression.AIM To explore the impact of community public health nursing on treatment effect,health cognition,and self-management in patients with T2DM.METHODS One hundred patients with T2DM were selected as the research subjects.The patients were divided into either a conventional nursing group or community nursing(CN)group using the random number table method.The conventional nursing group(50 cases)received routine care,while the CN group(50 cases)received community public health care in addition to routine care as that for the conventional nursing group.The rate of excellent and good blood glucose control,fasting blood glucose before and after care,2-h postprandial blood glucose,health cognition,and self-management ability,and patient satisfaction were compared between the two groups.RESULTS The CN group had a higher rate of excellent blood sugar control than the conventional nursing group(88%vs 70%,P<0.05).Before care,there was no significant difference in fasting blood glucose or 2-h postprandial blood glucose between the two groups of patients(P>0.05).After nursing,fasting blood glucose and 2-h postprandial blood glucose were reduced to varying degrees in both groups,and both blood glucose levels in the CN group were lower than those of the conventional nursing group(P<0.05).Compared with the scores before care,the cognitive level score for diabetes and self-management ability score improved after care in both groups.The cognitive level and self-management ability of patients in the CN group were higher than those of the conventional nursing group(P<0.05).The overall satisfaction of the CN group was better than that of the conventional nursing group(98%vs 86%,P<0.05).CONCLUSION Community public health care based on conventional care of T2DM can achieve better blood sugar control,and improve patients’health cognitive level and self-management ability.

Deep Learning-Driven Anomaly Detection for IoMT-Based Smart Healthcare Systems

The Internet of Medical Things(IoMT)is an emerging technology that combines the Internet of Things(IoT)into the healthcare sector,which brings remarkable benefits to facilitate remote patient monitoring and reduce treatment costs.As IoMT devices become more scalable,Smart Healthcare Systems(SHS)have become increasingly vulnerable to cyberattacks.Intrusion Detection Systems(IDS)play a crucial role in maintaining network security.An IDS monitors systems or networks for suspicious activities or potential threats,safeguarding internal networks.This paper presents the development of an IDS based on deep learning techniques utilizing benchmark datasets.We propose a multilayer perceptron-based framework for intrusion detection within the smart healthcare domain.The primary objective of our work is to protect smart healthcare devices and networks from malicious attacks and security risks.We employ the NSL-KDD and UNSW-NB15 intrusion detection datasets to evaluate our proposed security framework.The proposed framework achieved an accuracy of 95.0674%,surpassing that of comparable deep learning models in smart healthcare while also reducing the false positive rate.Experimental results indicate the feasibility of using a multilayer perceptron,achieving superior performance against cybersecurity threats in the smart healthcare domain.

The effect of high-fidelity simulation in medical nursing based on the healthcare simulation standards of best practice

Background:High-fidelity simulation has been demonstrated to make great progress in learning.However,there is still ongoing exploration on how to fully harness the advantages of this teaching method and enhance its effectiveness.This study conducted high-fidelity simulation in medical nursing based on the Healthcare Simulation Standards of Best Practice and evaluated its effect.Methods:The study was conducted from September 2019 to June 2020.A total of 82 undergraduate nursing students from a university in Shanghai participated in the high-fidelity simulation in medical nursing.The simulation design scale,educational practices in simulation scale,and students’satisfaction and self-confidence were used to evaluate the effect.Results:The mean score of simulation design scale was 4.06±0.63 with the mean scores of all dimensions being over 3.0.The mean score of educational practices in simulation scale was 4.14±0.56 with the mean scores of all dimensions being over 4.0.The mean scores of students’satisfaction and self-confidence were 4.07±0.72 and 3.89±0.58,respectively.Conclusion:Students reported high levels of simulation design and educational practices in simulation.They were also satisfied with learning and reported high levels of self-confidence.Some key points need to be considered so that the learning effects might be optimized.

Downsizing Health Care in the Community

This study reviewed recent changes in health care utilization in the health care providers of Syracuse, New York. The data indicated the largest decline in the numbers of inpatient volumes involved adult surgery and orthopedics. Numbers of inpatient discharges for this service declined by more than 2900 discharges for the combined Syracuse hospitals. The data also indicated that adult medicine discharges declined by more than 2600 during this time. For Diagnosis Related Groups with discharge differences of 30 or more, adult medicine discharges declined by 451 in neurology, 943 in respiratory medicine, and 625 in circulatory medicine. It was estimated that the value of the inpatient discharges amounted to approximately $1,740,000 in adult surgery and more than $1,560,000 for adult medicine. The savings that were achieved in this process related to staffing, pharmaceuticals, and testing.

An IoT Based Secure Patient Health Monitoring System

Internet of things(IoT)field has emerged due to the rapid growth of artificial intelligence and communication technologies.The use of IoT technology in modern healthcare environments is convenient for doctors and patients as it can be used in real-time monitoring of patients,proper administration of patient information,and healthcare management.However,the usage of IoT in the healthcare domain will become a nightmare if patient information is not securely maintainedwhile transferring over an insecure network or storing at the administrator end.In this manuscript,the authors have developed a secure IoT healthcare monitoring system using the Blockchainbased XOR Elliptic Curve Cryptography(BC-XORECC)technique to avoid various vulnerable attacks.Initially,thework has established an authentication process for patient details by generating tokens,keys,and tags using Length Ceaser Cipher-based PearsonHashingAlgorithm(LCC-PHA),EllipticCurve Cryptography(ECC),and Fishers Yates Shuffled Based Adelson-Velskii and Landis(FYS-AVL)tree.The authentications prevent unauthorized users from accessing or misuse the data.After that,a secure data transfer is performed using BC-XORECC,which acts faster by maintaining high data privacy and blocking the path for the attackers.Finally,the Linear Spline Kernel-Based Recurrent Neural Network(LSK-RNN)classification monitors the patient’s health status.The whole developed framework brings out a secure data transfer without data loss or data breaches and remains efficient for health care monitoring via IoT.Experimental analysis shows that the proposed framework achieves a faster encryption and decryption time,classifies the patient’s health status with an accuracy of 89%,and remains robust comparedwith the existing state-of-the-art method.

Continuity of Care in Primary Health Care Affecting Control of Diabetes

Background: Continuity of care is a distinguishing feature of primary care. Better continuity of care program showed a significant effect in controlling diabetes and it is complications. This study explores the effect of continuity of care on control of diabetes mellites in primary health care centres. Objectives: 1) To assess the effect of Continuity of care on controlling haemoglobin (Hb A1C) and fasting blood Sugar (FBS);2) To compare the control of Diabetes by using (Hb A1C and FBS) indices on same patient before and after application of chronic illness clinic;3) To identify the relation between age and gender affecting continuity of care in diabetic patient. Methods: It is a Prospective cohort study design. Included both gender and diabetic patient age above 24 years old. The data extracted from health care specialty center (HCSC) clinics in National guard hospital at Riyadh, through HCSC data base on three phases: 1) Phase 1: the data extracted of diabetic patients from October to November 2022 including MRN, diabetic patient, age, Hb A1C, Fasting blood glucose. 2) Phase 2: the same MRN extracted from phase 1 was extracted again retrospectively for six months from April to September 2022, to compare the indices before implanting the chronic illness clinic including Hb A1C, Fasting blood glucose. 3) Phase 3: prospectively from December 2022 to September 2023. Results: Among diabetic patients aged 60 years old and above showed better control of HbA1C and FBS comparing to these patients below age of 60 years old, with significant improvement of HbA1C after implanting chronic illness clinic. Conclusion: The significant improvement in the control of diabetic patients followed in primary health care centers reinforce the evidence of the importance of continuity of care.

Self-care practices and health-seeking behavior among older persons in a developing country:Theories-based research

Purpose:The aim of this study was to examine the self-care practices and health-seeking behaviours of older adults in urban Indonesia.Methods:The cross-sectional study was performed from January to March 2014 in the Tammua sub-district of Indonesia.At the time of the study,273 older adults resided in Tammua,and half of them(51.2%)participated in this study.Data collection was carried out including self-care practices,health literacy,self-efficacy and basic conditioning factors.Results:It was found that most respondents(124;88.6%)always ate various protein sources daily.However,many participants never limited consumption of sugar(55;39.3%)or salt(40;28.6%),and more than half of respondents(96;68.6%)did not regularly visit MHCs.Health status(p<0.05),health maintenance(p<0.01)and salt limitation(p<0.05)were all significantly associated with salt limitation.It was found that respondents with higher selfefficacy,those who did not want to get information,and those of younger ages are less likely to visit MHCs regularly.Conclusion:An understanding of self-care practices and self-efficacy is needed to improve health care in developing countries.High self-efficacy should be promoted along with adequate health literacy.Older persons should learn the importance of regular health examinations to promote health,prevent diseases,and slow the progress of chronic diseases.The number of respondents who never limit their sugar and salt intake was especially surprising.An intervention program should be developed to limit salt and sugar intake of Indonesian elderly and to motivate older persons to use primary health services.

Assessment of Breast Cancer Prevention Practices among Women Attending Primary Health Care in Abha City, Aseer Region, Saudi Arabia

Cancer is a leading cause of death worldwide, with breast cancer being the most common (2.26 million new cases and 685,000 deaths). In Saudi Arabia, breast cancer ranked the first among females in 2014, accounting for 15.9% of all cancers reported among Saudi nationals and 28.7% of all cancers reported among females of all ages. Early detection of breast cancer could decrease the risks, have a better prognosis, and have better outcomes/more successful treatments. Prevalence of breast cancer reached more than 25% of all diagnosed cancer in the kingdom among women. Aim: This study aims to assess the knowledge and performance of women attending primary care centers about breast self-examination and mammogram screening for prevention and early detection of breast cancer in Abha city primary healthcare centers, Kingdom of Saudi Arabia. Research Method: cross sectional design was conducted by using questionnaire, which was distributed to primary care center nurses. The collected data was statistically analyzed using the Statistical Package for Social Sciences, version 25. Results: The study found that participants had poor awareness and knowledge about breast self-examination, risk factors for breast cancer, and trends and practices in early diagnosis of breast cancer. Conclusion and Recommendations: It recommends increasing awareness campaigns and providing educational programs to improve knowledge and practices.

Practice and Determinants of Infection Prevention and Control Measures among Health Care Workers at Benjamin Mkapa Hospital, Dodoma-Tanzania

Introduction: Infection Prevention and Control are scientific approaches and practical solutions designed to prevent harm caused by infection to patients and health workers. The study aimed to assess Infection prevention and control practices and determinants. Method: The hospital-based analytical cross-sectional study design was employed through a convenience approach. The SPSS version 26 was used for data analysis. Results: 72.5% of healthcare workers at Benjamin Mkapa Hospital observed not performing hand hygiene before direct contact with the patient or before the procedure and 60.3% observed performing hand hygiene after direct contact with the patient or after removing gloves. Professionals (Doctors, Medical attendants, and Nurses) were significantly practiced more in infection prevention and control by 2.860, 2.923, and 3.237 units respectively compared to pharmacy personnel. Conclusion: The sustainable availability of Infection Prevention and Control resources is important to enhance a healthy working environment. The current study has shown that the availability of Equipment and Supplies was 100% for gloves, face masks, and sanitizer. The multivariate results showed a statistically significant relationship between those trained in IPC and those more likely to practice IPC than those not trained.

Water, Sanitation and Hygiene in Lower-Level Health Care Facilities of Dar es Salaam Region in Tanzania: Status towards Achieving the Sustainable Development Goals and Way Forward

Background: Improving Water, Sanitation and Hygiene in health care settings is a critical prerequisite for achieving national health goals and Sustainable Development Goals (SDGs). The World Health Organization (WHO) has set a target for each United Nations member state to reach by 2030. Each member state is required to reach by 2022, 2025 and 2030 at least 60%, 80% and 100%, respectively of basic level of service of the five elements which are water, sanitation, hygiene, waste management and environmental cleaning. Methods: This study aimed to evaluate and document the current state of basic water, sanitation, and hygiene services in all lower-level health care facilities in the Dar es Salaam region of Tanzania as of July 2022. A cross-sectional study was conducted in 99 public dispensaries in the Dar es Salaam region’s five councils: Ubungo, Kigamboni, Kinondoni and Temeke Municipalities, and Ilala City. The interviewee form and observational checklists were both digitalized using the Kobo tool software. The respondents were health care facility in-charges or nurse in-charges. Data were downloaded, validated, and imported to Stata version 15 for analysis. Results: The basic WASH level per JMP is far below the target in 2022. Each member state by 2022 is required to reach at least 60% of the basic level of service of each element. We found a low coverage of basic WASH in the 99 dispensaries included in this study. The basic WASH coverage was met in only 10 (10.1%) of the dispensaries, while the remaining 89 (89.9%) dispensaries fall on limited WASH services. Conclusion: This study revealed lower coverage of basic WASH services in dispensaries. An urgent need is required to improve the status of WASH in all the dispensaries and facilitate the provision of quality health care services, patient safety and reduce health care associated infections.

Does community-based health insurance affect lifestyle and timing of treatment seeking behavior?Evidence from Ethiopia

Objectives This paper aims to investigate the effects of enrollment in the Ethiopian community-based health insurance(CBHI)scheme on household preventive care activities and the timing of treatment-seeking behavior for illness symptoms.There is growing concern about the financial sustainability of CBHI schemes in developing countries.However,few empirical studies have identified potential contributors,including ex-ante and ex-post moral hazards.Methods We implement a household fixed-effect panel data regression model,drawing on three rounds of household survey data collected face to face in districts where CBHI scheme is operational and in districts where it is not operational in Ethiopia.Results The findings show that enrolment in CBHI does not significantly influence household behaviour regarding preventive care activities such as water treatment before drinking and handwashing before meals.However,CBHI significantly increases delay in treatment-seeking behaviour for diseases symptoms.Particularly,on average,we estimate about 4-6 h delay for malaria symptoms,a little above 4 h for tetanus,and 10-11 h for tuberculosis among the insured households.Conclusions While there is evidence that CBHI improve the utilization of outpatient or primary care services,our study suggests that insured members may wait longer before visiting health facilities.This delay could be partly due to moral hazard problems,as insured households,particularly those from rural areas,may consider the opportunity costs associated with visiting health facilities for minor symptoms.Overall,it is essential to identify the primary causes of delays in seeking medical services and implement appropriate interventions to encourage insured individuals to seek early medical attention.

Ozone Sterilizer for Treatment and Health Care

Ozone is a green broad-spectrum bactericidal disinfectant, and a trace amount of ozone in the atmosphere makes many viruses and bacteria lose their biochemical activity and infectivity. Nature produces trace amounts of ozone in the air through lightning to purify the ecological environment. The product of ozone decomposition is oxygen, without secondary pollution. Ozone sterilizer is widely used in the epidemic prevention and control of intensive breeding farms and achieved remarkable results. If the concentration and action time of ozone can be accurately controlled, then ozone can quickly eliminate pathogens, without harming the normal cells in the human body. How to use medical ozone for epidemic prevention, treatment and health care is a subject worthy of serious study, which should arouse the attention of the experts in the field.

A Health State Prediction Model Based on Belief Rule Base and LSTM for Complex Systems

In industrial production and engineering operations,the health state of complex systems is critical,and predicting it can ensure normal operation.Complex systems have many monitoring indicators,complex coupling structures,non-linear and time-varying characteristics,so it is a challenge to establish a reliable prediction model.The belief rule base(BRB)can fuse observed data and expert knowledge to establish a nonlinear relationship between input and output and has well modeling capabilities.Since each indicator of the complex system can reflect the health state to some extent,the BRB is built based on the causal relationship between system indicators and the health state to achieve the prediction.A health state prediction model based on BRB and long short term memory for complex systems is proposed in this paper.Firstly,the LSTMis introduced to predict the trend of the indicators in the system.Secondly,the Density Peak Clustering(DPC)algorithmis used todetermine referential values of indicators for BRB,which effectively offset the lack of expert knowledge.Then,the predicted values and expert knowledge are fused to construct BRB to predict the health state of the systems by inference.Finally,the effectiveness of the model is verified by a case study of a certain vehicle hydraulic pump.

Estimating the Future of Health Care at the Community Level

Developments in health care in the United States are changing the delivery of services for providers and payors. This study focused on inpatient hospital discharges in the Syracuse hospitals and other services. It demonstrated that, during the past five years, numbers of inpatient adult medicine discharges had increased while adult surgery discharges had declined. This information suggested that adult medicine discharges could be expected to increase and approach levels of five years ago. It also suggested adult surgery discharges could be expected to remain at previous levels or decline. This information indicated that the combined emergency department visits declined from 238,000 to 202,000 between 2019 and 2020, then increased from 218,000 to 228,000 visits between 2021 and 2023. These developments will probably result in greater efficiency at the community level. With a decline in numbers of inpatient beds, providers will be able to focus on the more efficient management by reducing numbers of staff as well as fewer pharmaceuticals and testing.

Affordability, Accessibility, and Quality of Maternal Health Care Services and Level of Satisfaction of Mothers in Rural Areas in China

Objective:This study aimed to understand the affordability,accessibility,and quality of maternal and child health services for postpartum mothers,and their impact on satisfaction.Methods:The study utilized the Anderson model and revised the Maternal Pregnancy and Perinatal Health Service Questionnaire.A survey was conducted among 289 mothers aged 20–49 in Feicheng City.Results:Regarding accessibility,most respondents(133)reported that travel time to healthcare services exceeded 60 minutes,while 99 respondents indicated a travel time of 16–30 minutes.The issue of affordability was highlighted,with 86.85%of participants perceiving maternal healthcare services as costly,indicating a significant financial burden.More than 50%of respondents were satisfied with two specific dimensions(P<0.05)regarding the quality of maternal healthcare services.Conclusion:The study found that accessibility,affordability,and quality significantly affect mothers’satisfaction with maternal health services.Future research should focus on developing more suitable service pathways for rural mothers.

An Efficient Blockchain-Based Healthcare System Using Artificial Intelligence

Personal health records and electronic health records are considered as the most sensitive information in the healthcare domain.Several solutions have been provided for implementing the digital health system using blockchain,but there are several challenges,such as secure access control and privacy is one of the prominent issues.Hence,we propose a novel framework and implemented an attribute-based access control system using blockchain.Moreover,we have also integrated artificial intelligence(AI)based approach to identify the behavior and activity for security reasons.The current methods only focus on the related clinical records received from a medical diagnosis.Moreover,existing methods are too inflexible to resourcefully sustenance metadata changes.A secure patient data access framework is proposed in this research,integrating blockchain,trust chain,and blockchain methods to overcome these problems in the literature for sharing and accessing digital healthcare data.We have used a neural network and classifier to categorize the user access to our proposed system.Our proposed scheme provides an intelligent and secure blockchain-based access control system in the digital healthcare system.Experimental results surpass the existing solutions by collecting attributes such as the number of transactions,number of nodes,transaction delay,block creation,and signature verification time.