Inpatient Room Research Articles

Global Research Trends on Factors Affecting Patient Satisfaction Levels in Hospital Inpatient Wards: A Bibliometric Analysis

ABSTRACT Research on patient satisfaction in hospital inpatient rooms is one of the main focuses in efforts to improve the quality of health services. Understanding the factors that influence patient satisfaction is crucial for policy makers and healthcare practitioners. Although various studies have been conducted, the global map of this research trend is still not clearly depicted. This study aims to fill this gap by conducting a bibliometric analysis of the literature related to patient satisfaction in hospitals, using a visualization approach to provide deeper insights into the dynamics of research in this area. The method used involved data collection of scholarly articles from 2014 to 2024 using Google Scholar's Publish or Perish application. A total of 50 articles were selected based on relevance to keywords such as Patient Satisfaction, Inpatient Room, Satisfaction Factors, Hospital, and Health Services. This data was then analyzed using VOSviewer to visualize the relationship between various elements in the literature through network visualization, overlay visualization, and density visualization. This approach mapped research trends, identified key clusters, and showed collaboration patterns and dominant topics. The results show that service quality and patient satisfaction are the main focus in the literature. Research clusters showed significant attention to basic aspects of healthcare such as hospital care and facilities, while demographic aspects and specific determinants were less explored. Citation analysis showed that articles providing comprehensive reviews or practical models received more attention. In addition, the density visualization revealed the dominance of quality of care aspects, but also showed the potential for further research on topics such as technological innovation and the impact of health policy. The conclusions of this study show that although much research has been conducted, there are still significant research gaps that can be further explored. This study maps global trends in patient satisfaction studies, and provides guidance for researchers to focus on less explored areas, thereby contributing to the improvement of healthcare quality in hospitals. Keywords: Patient Satisfaction, Service Quality, Hospital, Bibliometric Analysis.

The Effect Of Virginia Coconut Oil (VCO) On The Prevention Of Decubitus In Prolonged Bed Rest Patients

Decubitus is a condition where external pressure causes damage or injury to local tissue. Trauma and surgical wounds can cause damage to skin integrity, long-term pressure on the skin can also cause irritation and the formation of decubitus, People who experience nerve damage due to stroke, traumatic injury, diabetes mellitus, or coma are also more likely to experience decubitus. The purpose of this study was to determine the effect of administering virgin coconut oil (VCO) on the risk of decubitus. The research method used the Pre Experiment design method with a one group pre post test design. The population in this study were all patients in the Akasia Inpatient Room, Siti Fatimah Az-Zahra Hospital, South Sumatra Province. The total number of patients treated was 30 respondents. Sampling was carried out using the total sampling technique. The results of the study showed that there was an effect of administering virginia coconut oil on the risk of decubitus in patients with long-term bed rest, the significant value of the non-parametric statistical test (Wilcoxon) was 0.000 (p value 0.000 <0.05). Suggestions are expected as input and sources of information in providing counseling to patients who are bedridden for a long time to use pharmacological therapy in preventing decubitus, and routinely use Virginia Coconut Oil which has many benefits.

Efficacy of a portable non-mydriatic fundus camera for "rule-out papilledema" consultations: A prospective study.

Ophthalmology is frequently consulted to "rule-out papilledema." We assessed the efficacy of a portable, non-mydriatic fundus camera in detecting optic disc edema in the inpatient and emergency room settings during "rule-out papilledema" consultations, comparing to the gold standard dilated fundus examination (DFE). This prospective, blinded, cohort study included 124 non-mydriatic fundus photographs (62 patients) that were obtained over the 11-month enrollment period. The images, along with a brief clinical history, were evaluated independently by an attending neuro-ophthalmologist (NO), general ophthalmologist (GO), emergency room (ER) physician, and ophthalmology resident (OR), for the presence of disc edema and indication for consultation. Results were compared to DFE. Sensitivity, specificity, and area under receiver operating characteristic (ROC) curves were determined to evaluate the efficacy of the camera. On DFE, disc edema was present in 51 eyes (41.1%). Compared to DFE, NO assessment had the greatest combined sensitivity (84.3%) and specificity (97.3%) for the detection of disc edema, followed by that of GO (sensitivity 77.4%, specificity 100%), OR (sensitivity 96.1%, specificity 80.8%), and ER clinician (sensitivity 68.6%, specificity 89.0%). Areas under ROC curves for NO, GO, OR, and ER physician were all statistically significant for the detection of disc edema (0.908, P < 0.001; 0.892, P < 0.001; 0.885, P < 0.001; 0.788, P < 0.001, respectively). Clinicians were able to correctly identify optic disc edema using non-mydriatic fundus photography. Non-mydriatic fundus photography may be an effective inpatient or telemedicine tool to assess for optic disc edema.

Disparities in infectious disease-related health care utilization between Medicaid-enrolled American Indians and non-Hispanic Whites-Lessons from the first 16 months of coronavirus disease 2019 and a decade of flu seasons.

To understand why American Indian and Alaskan Native (AIAN) populations have had exceptionally high COVID-19 mortality, we compare patterns of healthcare utilization and outcomes for two serious infectious respiratory diseases-Influenza-like-illness (ILI) and coronavirus disease 2019 (COVID-19)-between American Indian and Alaskan Native (AIAN) populations (as identified in Medicaid data) and non-Hispanic Whites over the 2009-2021 period. We select all people under the age of 65 years identified as non-Hispanic White or AIAN in the New York State Medicaid claims data between 2009 and 2021. We analyze data across 10 ILI cohorts (between September 2009 and August 2020) and 4 COVID-19 cohorts (March-June 2020, July-September 2020, October-December 2020, and January-June 2021). We examine mortality and utilization rates using logistic regressions, adjusting for demographic characteristics, prior chronic conditions, and geographic location (including residence near a reservation). We stratify the analysis by rural vs. nonrural counties. We use the New York State Medicaid claims data for the analysis. We find that even among Medicaid beneficiaries, who are similar in socioeconomic status and identical in health insurance coverage, AIAN populations have much lower rates of use of outpatient services and much higher rates of acute (inpatient and emergency room) service utilization for both ILI and COVID-19 than non-Hispanic Whites. Prior to COVID-19, demographic and health status-adjusted all-cause mortality rates, including from ILI, were lower among American Indians than among non-Hispanic Whites on New York State Medicaid, but this pattern reversed during the COVID-19 pandemic. Both findings are driven by nonrural counties. We did not observe significant differences in all-cause mortality and acute service utilization comparing AIAN to non-Hispanic Whites in rural areas. The utilization and mortality disparities we identify within the Medicaid population highlight the need to move beyond insurance in addressing poor health outcomes in the American Indian population.

The Influence of Workload, Work Stress, and Work Motivation towards Five Moment Hand Hygiene Obedience for the Nurse in Muhammadiyah University Hospital Malang

Hand hygiene is crucial and should be practiced consistently. Nurses who work in hospitals must do five moments of hand washing. Washing hands will prevent the transmission of diseases and microorganisms. Nurses often experience workload and work stress, especially in inpatient rooms. Lack of nursing staff and fatigue are the main factors that trigger this. With nurses' workload and work stress in hospitals, there needs to be work motivation for nurses to live healthily by complying with the five moments of hand washing in hospitals. This study aims to determine the effect of workload, work stress, and work motivation on compliance with the five moments of hand hygiene. The design of this study used cross-sectional research with a group with only one measurement time. The population of this study consisted of nurses in the inpatient room at the University of Muhammadiyah Malang Hospital. The sample used total sampling, namely all 74 nurses who were already employees in the inpatient room of the University of Muhammadiyah Malang Hospital. The percentage result of the influence of workload (X1), work stress (X2), and work motivation (X3) on compliance with five-moment hand hygiene (Y) is 57.1% (Adj R square). In comparison, the remaining 42.9% is influenced by other independent variables that were not studied.

Analysis of Determining Inpatient Room Rates Using the Activity-Based Costing Method in a Healthcare Setting

Background: Hospitalization rate determination is crucial for healthcare cost management, yet traditional methods often lead to cost distortions. Specific Background: Muhammadiyah Tuban Hospital has historically utilized conventional costing methods, which have resulted in higher than necessary charges for hospital services. Knowledge Gap: There is limited research comparing traditional costing methods with more accurate and modern approaches like Activity Based Costing (ABC) in the Indonesian healthcare context. Aim: This study aims to compare hospitalization rates at Muhammadiyah Tuban Hospital using traditional methods and the ABC method, to highlight discrepancies and propose a more accurate costing framework. Results: The ABC method yielded significantly lower hospitalization rates across various classes (VIP, Class 1, Class 2, and Class 3) compared to traditional methods. For instance, the ABC rate for the VIP class was IDR 270,619, compared to IDR 495,000 set by traditional methods. Novelty: This study introduces the application of ABC in an Indonesian hospital setting, providing a clear contrast in cost-efficiency against traditional costing. Implications: The findings suggest that adopting the ABC method can lead to more precise and lower hospitalization rates, potentially reducing healthcare costs for patients and improving financial management within hospitals.Highlights: Cost Accuracy: ABC method offers more precise hospitalization rates than traditional methods. Economic Impact: Adoption of ABC can lower patient costs and improve hospital financial management. Innovation: Introduces a modern costing method to Indonesian healthcare, suggesting a shift from outdated practices. Keywords: Activity Based Costing, Hospitalization Rates, Cost Management, Healthcare Economics

Perspectives of Families and Healthcare Staff on the Design of Inpatient Hospital Rooms in Saudi Arabia.

Aim: This study aims to explore the relationship between the perspectives of both family members and healthcare staff regarding the design of hospital inpatient rooms. It investigates the impact of family presence on the healing environment and examines the influence of specific design elements within inpatient rooms on the extent of family presence. Background: The positive impact of family presence in healthcare settings is rooted in the notion that patients and their families are significant stakeholders in the care process. However, little is known about the influence of inpatient room design elements on family presence in healthcare settings in the Middle East. Methods: A questionnaire survey was conducted among 359 participants, encompassing patients, family visitors, and healthcare professionals from three hospitals in Saudi Arabia. The questionnaire items sought insights into the influence of design elements within inpatient rooms on family presence and the overall healing environment. Results: The results indicate a strong preference for single-patient rooms (74.5%), natural light (77.6%), comfortable seating (85.8%), and a family zone positioned by the window for unobstructed views of nature (50.5%). Furthermore, the study reveals that family presence is perceived to have positive effects on the healing environment (84.0%), patient safety (81.3%), and satisfaction with the care process (88.0%). Conclusion: This study proposes a design model for inpatient rooms that can effectively cater to the needs of patients and their families, thereby contributing to the overall improvement of healthcare building design.

The Relationship Between The Accuracy of Filling Out The Early Warning Score System Form and Nurse Decision Making

&lt;p&gt;&lt;em&gt;Early Warning Score System plays an important role in monitoring and tracking patient deterioration through vital signs and physical condition. Nursing decision making is a complex process that has the potential to influence the quality of care provided. Clinical decision making requires critical thinking skills for nurses. This study aims to analyze the relationship between the accuracy of filling out the Early Warning Score System form and nurses' decision making. The type of research used is quantitative research using a retrospective descriptive research design with a cross sectional descriptive research design. The sampling technique is purposive sampling. The respondents of this study were nurses in integrated inpatient rooms A and B at the Haji Adam Malik Central General Hospital, Medan. This research was carried out in the integrated inpatient ward at the Haji Adam Malik Central General Hospital, Medan. The sample consisted of 148 respondents in the inpatient ward. The instruments used were the standardized Early Warning Score System monitoring form at Haji Adam Malik Hospital and nurse decision making adopted from the Ekwantoro questionnaire. The data were analyzed using the Spearman rank test to obtain a correlation coefficient of +0.470 with a significant p-value = 0.000. The conclusion is that there is a relationship between the accuracy of filling in the Early Warning Score System formula and nurse decision making which is quite strong and in the same direction. It is recommended that nurses increase their in-depth understanding of filling out the Early Warning Score System form in order to make appropriate decisions in providing nursing care.&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Keywords: Accuracy of filling, Decision making, ERWSS&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt;

Real-World Effectiveness of Nirsevimab Against Respiratory Syncytial Virus: A Test-Negative Case-Control Study.

Nirsevimab, a long-acting monoclonal antibody, has demonstrated efficacy against RSV-related lower respiratory tract infections (LRTIs) in clinical trials. Post-licensure monitoring is essential to confirm these benefits in real-world settings. To evaluate the real-world effectiveness of nirsevimab against medically attended RSV infections in infants and to assess how effectiveness varies by disease severity, dosage, and time since immunization. This test-negative case-control study used inpatient, outpatient, and emergency room data from the Yale New Haven Health System. Nirsevimab-eligible infants who were tested for RSV using polymerase chain reaction between October 1, 2023 and May 9, 2024 were included. Cases were infants with confirmed RSV infections; controls were those who tested negative. Nirsevimab immunization, verified through state immunization registries. Effectiveness was estimated using multivariable logistic regression, adjusting for age, calendar month, and individual risk factors. Separate models examined effectiveness by clinical setting, disease severity, dose, and time since immunization. Broader outcomes, including all-cause LRTI and LRTI-related hospitalization, were also analyzed, with stratification by early and late respiratory seasons. The analytic sample included 3,090 infants (median age 6.7 months, IQR 3.6-9.7), with 680 (22.0%) RSV-positive and 2,410 (78.0%) RSV-negative. 21 (3.1%) RSV-positive and 309 (12.8%) RSV-negative infants received nirsevimab. Effectiveness against RSV infection was 68.4% (95% CI, 50.3%-80.8%). Effectiveness was 61.6% (95% CI, 35.6%-78.6%) for outpatient visits and 80.5% (95% CI, 52.0%-93.5%) for hospitalizations. The highest effectiveness, 84.6% (95% CI, 58.7%-95.6%), was observed against severe RSV outcomes requiring ICU admission or high-flow oxygen. Although effectiveness against RSV infections declined over time, it remained significant at 55% (95% credible interval, 16%-75%) at 14 weeks post-immunization. Protective effectiveness was also observed against all-cause LRTI and LRTI-related hospitalizations during peak RSV season (49.4% [95% CI, 10.7%-72.9%] and 79.1% [95% CI, 27.6%-94.9%], respectively). However, from February to May, when RSV positivity was low, effectiveness against these broader outcomes was negligible. Nirsevimab provided substantial protection against RSV-related outcomes for at least three months. These findings support the continued use of nirsevimab and provide evidence that may help build public confidence in the immunization program. Question: What is the effectiveness of nirsevimab against medically attended respiratory syncytial virus (RSV) infections in infants?Findings: 680 RSV test-positive cases and 2,410 RSV test-negative controls were included in this test-negative case-control study. Nirsevimab's effectiveness was 69% against RSV infections, 81% against RSV-associated hospitalization, and 85% against severe RSV disease. Effectiveness against RSV infection declined from 79% at 2 weeks post-immunization to 55% at 14 weeks post-immunization.Meaning: Nirsevimab provides strong protection against a wide range of RSV outcomes, but its effectiveness diminishes over time. These data can be utilized to optimize nirsevimab's implementation and sustain its uptake.

ANALYSIS OF PATIENT SATISFACTION WITH INPATIENT SERVICES IN REGIONAL GENERAL HOSPITALS

Patient satisfaction is a measure of the extent to which patients are satisfied with the health care they receive from health service providers. This study aims to determine factors related to patient satisfaction with inpatient services at Regional General Hospitals in 2024. The design of this research is quantitative with a cross-sectional approach. The population in this study were inpatient patients at the Regional General Hospital in 2023. The sample in this study was 94 people. The sampling method uses purposive sampling. This research was carried out on February 12 - March 16 2024. Data was collected using a questionnaire. Bivariate data analysis used the Chi-Square test and multivariate logistic regression. The results of the research show that there is a relationship between tangible (p value 0.001), reliability (p value 0.000), responsiveness (p value 0.001), assurance (p value 0.007) and empathy (p value 0.000) on patient satisfaction with inpatient services at Regional General Hospitals in 2024 The most dominant factor in patient satisfaction with regional general hospital inpatient services in 2024 is empathy (p value 0.000) (OR .125). The conclusion is that there is a relationship between tangible, reliability, responsiveness, assurance and empathy on patient satisfaction with inpatient services at Regional General Hospitals in 2024. Hospitals should provide services in inpatient rooms, provide fast and responsive service in responding to complaints from patients.

An Overview of Patient Safety Supervision in Government Hospitals

Effective supervision is needed to achieve optimal implementation of patient safety goals, where patient safety is prioritized in every activity. Nurses' performance in implementing patient safety goals is influenced by several factors. Objective to know the description of patient safety supervision in hospitals in 2024. This study is a quantitative study with a cross-sectional design conducted in April-June 2024 at the Hospital. The study population was all executive nurses in the hospital inpatient room. The population was 42 people with total sampling technique. The research instrument used a questionnaire to collect data on the characteristics of respondents consisting of nurse identity, namely: level of education, length of work, and supervision. Patient safety supervision is mostly in the good category (78.57%). Patient safety supervision in hospitals in 2024 is mostly in the good category. This indicates that nurses have implemented various safety standards and effective procedures to protect patients from injury or harm during treatment.

Analysis of Customer Needs in the House of Quality to Improve the Quality of Inpatient Room Services at Hospital X in Yogyakarta

Analysis of Customer Needs in the House of Quality to Improve the Quality of Inpatient Room Services at Hospital X in Yogyakarta

The Relationship between Nurses' Knowledge of Patient Identification and the Implementation of Patient Safety Identification in Inpatient Rooms at Ibu Fatmawati Soekarno Regional General Hospital, Surakarta

Patient identification is a key component of the six patient safety goals and patient safety is a part of hospital accreditation standards. This study aims to examine the relationship between nurses' knowledge of patient identification and the implementation of patient safety protocols in inpatient settings at Ibu Fatmawati Soekarno Regional General Hospital, Surakarta. The research utilizes a quantitative approach with a cross-sectional design. A total of 42 respondents were selected using total sampling, and data were gathered through questionnaires. The data analysis was performed using the Spearman’s Rho test. The findings indicate that 95.2% of nurses had excellent knowledge, while 4.8% had good knowledge. Regarding the implementation of identification practices, 90.5% were rated as excellent and 9.5% as good. The Spearman’s Rho test revealed a correlation coefficient of 0.000 with p&lt;0.05, indicating a strong positive relationship between nurses’ knowledge and identification practices with a correlation degree of 0.689. This study concludes that the nurses at Ibu Fatmawati Soekarno Regional General Hospital demonstrate excellent knowledge and effectively implement patient identification according to established standards.

HUBUNGAN TINGKAT PENGETAHUAN DENGAN PERILAKU PERAWAT DALAM PENYUSUNAN DISCHARGE PLANNING DI RUANG RAWAT INAP RUMAH SAKIT SWASTA YOGYAKARTA

Discharge planning is a continuous process to prepare post-hospitalization patients so they can carry out independent care. Nurse knowledge is one of the factors that influences the implementation of discharge planning. The research aims to analyze the relationship between the level of knowledge and the behavior of nurses in preparing discharge planning in inpatient rooms at private hospitals in Yogyakarta. This research uses descriptive analytical correlation with a cross sectional approach. Samples were taken using purposive sampling as many as 33 respondents with data analysis using the Spearman Rank test. The research instrument used questionnaires and observations of patient medical records. The research results showed that the level of nurses' knowledge regarding discharge planning was in the good category (76%). The behavior of nurses in preparing discharge planning was good (73%). Analysis between the level of knowledge and behavior of nurses in preparing discharge planning with a p value of 0.007 and strength of correlation (r) 0.460. There is a relationship between the level of knowledge and the behavior of nurses in preparing discharge planning. It is recommended that nurses increase their knowledge, especially in preparing patient discharge planning, by increasing their knowledge independently via the internet, attending training or seminars related to discharge planning.

Assessing the Effect of Electronic Health Record Data Quality on Identifying Patients With Type 2 Diabetes: Cross-Sectional Study.

Increasing and substantial reliance on electronic health records (EHRs) and data types (ie, diagnosis, medication, and laboratory data) demands assessment of their data quality as a fundamental approach, especially since there is a need to identify appropriate denominator populations with chronic conditions, such as type 2 diabetes (T2D), using commonly available computable phenotype definitions (ie, phenotypes). To bridge this gap, our study aims to assess how issues of EHR data quality and variations and robustness (or lack thereof) in phenotypes may have potential impacts in identifying denominator populations. Approximately 208,000 patients with T2D were included in our study, which used retrospective EHR data from the Johns Hopkins Medical Institution (JHMI) during 2017-2019. Our assessment included 4 published phenotypes and 1 definition from a panel of experts at Hopkins. We conducted descriptive analyses of demographics (ie, age, sex, race, and ethnicity), use of health care (inpatient and emergency room visits), and the average Charlson Comorbidity Index score of each phenotype. We then used different methods to induce or simulate data quality issues of completeness, accuracy, and timeliness separately across each phenotype. For induced data incompleteness, our model randomly dropped diagnosis, medication, and laboratory codes independently at increments of 10%; for induced data inaccuracy, our model randomly replaced a diagnosis or medication code with another code of the same data type and induced 2% incremental change from -100% to +10% in laboratory result values; and lastly, for timeliness, data were modeled for induced incremental shift of date records by 30 days to 365 days. Less than a quarter (n=47,326, 23%) of the population overlapped across all phenotypes using EHRs. The population identified by each phenotype varied across all combinations of data types. Induced incompleteness identified fewer patients with each increment; for example, at 100% diagnostic incompleteness, the Chronic Conditions Data Warehouse phenotype identified zero patients, as its phenotypic characteristics included only diagnosis codes. Induced inaccuracy and timeliness similarly demonstrated variations in performance of each phenotype, therefore resulting in fewer patients being identified with each incremental change. We used EHR data with diagnosis, medication, and laboratory data types from a large tertiary hospital system to understand T2D phenotypic differences and performance. We used induced data quality methods to learn how data quality issues may impact identification of the denominator populations upon which clinical (eg, clinical research and trials, population health evaluations) and financial or operational decisions are made. The novel results from our study may inform future approaches to shaping a common T2D computable phenotype definition that can be applied to clinical informatics, managing chronic conditions, and additional industry-wide efforts in health care.

The Effectiveness of Leaflet and Video Educational Media Toward the Knowledge of Type 2 Diabetes Mellitus Patients

This study aims to know the effectiveness of leaflets and video educational media in the knowledge of type 2 diabetes mellitus patients in the inpatient room of RSUD Beriman Balikpapan. The methodology used is a quasi-experimental study with a pretest and posttest research design with control group. The intervention group used video media and the control group used leaflet media. The results obtained were that the average patient knowledge increased in the experimental group, which was 50.90, ± 8,228 SD before the intervention, increasing to 81.37, ± 9,615 SD after the intervention. In the control group, the mean knowledge of patients before the intervention was 55.75, ± 7,036 SD, increasing after the intervention to 84.18, ± 9,895 SD. The P-Value value is 0.000 &lt; 0.05 from the results of the analysis of the difference in knowledge between the experimental group and the control group after the intervention shows that there is a significant difference between the two; so that H0 is rejected and Ha is accepted. This means that nutritional counseling using video and leaflet media can increase knowledge about Diabetes Mellitus and video media is more effective than leaflet media. The providing nutritional counseling using video media was more effective than using leaflet media in increasing the knowledge of Diabetes Mellitus patients in the inpatient ward of the Beriman Balikpapan Regional Hospital.

Dissecting Heterogeneity in Functional Network Connectivity Aberrations in Antipsychotic Medication-Naïve First Episode Psychosis Patients - A Normative Modeling Study.

While there is a general consensus that functional connectome pathology is a key mechanism underlying psychosis spectrum disorders, the literature is plagued with inconsistencies and translation into clinical practice is non-existent. This is perhaps because group-level findings may not be accurate reflections of pathology at the individual patient level. To characterize inter-individual heterogeneity in functional networks and investigate if normative values can be leveraged to identify biologically less heterogeneous subgroups of patients. We used data collected in a case-control study conducted at the University of Alabama at Birmingham (UAB). We recruited antipsychotic medication-naïve first-episode psychosis patients from UAB outpatient, inpatient, and emergency room settings. Individual-level patterns of deviations from a normative reference range in resting-state functional networks using the Yeo-17 atlas for parcellations. Statistical analyses included 108 medication-naïve first-episode psychosis patients. We found that there is a high level of inter-individual heterogeneity in resting-state network connectivity deviations from the normative reference range. Interestingly 48% of patients did not have any functional connectivity deviations, and no more than 11.1% of patients shared functional deviations between the same regions of interest. In a post hoc analysis, we grouped patients based on deviations into four theoretically possible groups. We discovered that all four groups do exist in our experimental data and showed that subgroups based on deviation profiles were significantly less heterogeneous compared to the overall group (positive deviation group: z= -2.88, p = 0.002; negative deviation group: z= -3.36, p<0.001). Our findings experimentally demonstrate that there is a high level of inter-individual heterogeneity in resting-state network pathology in first-episode psychosis patients which support the idea that group-level findings are not accurate reflections of pathology at the individual level. We also demonstrated that normative functional connectivity deviations may have utility for identifying biologically less heterogeneous subgroups of patients, even though they are not distinguishable clinically. Our findings constitute a significant step towards making precision psychiatry a reality, where patients are selected for treatments based on their individual biological characteristics. Question: How heterogeneous is individual-level resting-state functional network pathology in patients suffering from a first psychotic episode? Can normative reference values in functional network connectivity be leveraged to identify biologically more homogenous subgroups of patients?Findings: We report that functional network pathology is highly heterogeneous, with no more than 11% of patients sharing functional deviations between the same regions of interest.Meaning: Normative modeling is a tool that can map individual neurobiological differences and enables the classification of a clinically heterogenous patient group into subgroups that are neurobiologically less heterogenous.

Effectiveness of Compression Therapy on Lower Extremity Oedema in Heart Failure Patients: A Case Study

Background: Heart Failure is a condition that the heart can not pump enough blood to meet the circulatory needs used in the body's metabolic processes. Patients with heart failure disease may experience swelling (oedema) in certain parts of the body, especially the lower extremities. Oedema that is not treated will exacerbate damage to the circulatory system. One of the treatments for lower extremity oedema in heart failure patients can be done by giving compression therapy. Purpose: The purpose of this study is to determine the effectiveness of compression therapy on lower extremity oedema in heart failure patients. Method: This research is a case study that managed one patient with heart failure disease who has lower extremity oedema. Data collection was carried out by observation, interview and provision of interventions carried out for 4 days using moderate pressure (20-30 mmHg). This research use compression stocking for 18 hours within 24 hours. Compression therapy is given once a day that the stocking is used at 14.00 WIB and removed at 08.00 WIB on the following day. The instrument used in this study was the pitting oedema observation sheet. Result: The results of this study were a decrease in the degree of pitting oedema in patients from a value of +3 with a depth of 5 mm in a return time of 65 seconds to a value of +1 with a depth of 1 mm in a return time of 2 seconds. Conclusion: Compression therapy is effective in reducing the degree of pitting oedema in patients with heart failure. Compression therapy has optimal effectiveness on the third day of intervention. Therefore, this therapy is highly recommended to be applied in the inpatient room, especially in patients with heart failure who have oedema in lower extremity.

THE CORELATION BETWEEN THE IMPLEMENTATION OF THERAPEUTIC COMMUNICATION BY HEALTH WORKERS AND THE LEVEL OF PATIENT SATISFACTION IN THE INPATIENT ROOM AT RSUD KABUPATEN BEKASI

Therapeutic communication was able to affect the level of patient satisfaction. Therapeutic communication is a problem that health workers need to pay attention to. However, it turns out that there are still hospitals that provide or carry out therapeutic communication which are considered not good by patients so that most of the patients who visit the hospital feel less satisfied. Therapeutic communication is something that every health worker must master and possess. This study was conducted to determine the relationship between the implementation of therapeutic communication by health workers with the level of patient satisfaction in the inpatient room at RSUD Kabupaten Bekasi. This research method is a quantitative type that is analytic with a cross sectional approach. The population of this study were patients in the inpatient room at Bekasi District Hospital using probability sampling technique with stratified random sampling. Based on the results of statistical analysis using the chi-square test, the p-value was 0.000 ≤ 0.05. This indicates that H0 is rejected. There is a significantly relationship between the implementation of therapeutic communication by health workers with the level of patient satisfaction in the inpatient room at RSUD Kabupaten Bekasi.

Nursing Care for Mrs. W with Dyspepsia Diagnosis

Dyspepsia is a clinical condition that can cause limb pain, such as flatulence, fullness, nausea, and vomiting. Dyspepsia is one of the non-communicable diseases and not only occurs in Indonesia but also in other parts of the world. This study aims to provide an overview of the implementation of Nursing Care in patients with dyspepsia diagnoses in the Old Jimbaran Room, Sumber Kasih Hospital, Cirebon City. The method used is a case study approach. The subject in this case study was one patient with a medical diagnosis of dyspepsia in the inpatient room. The results of the study showed that the management of nursing care in patients with a medical diagnosis of dyspepsia in fulfilling basic needs with dyspeptic nursing problems carried out the intervention of deep breath relaxation techniques with a frequency of 15 times with a time of approximately 10--15 minutes, the intervention was carried out when the patient felt pain, the results of the patient's pain level were reduced from pain scale 6 (moderate) to pain scale 3 (mild). From the results of nursing care that has been made and interventions that have been carried out, it can be concluded that deep breath relaxation techniques are effective in reducing the pain scale from 6 (moderate) to a pain scale of 3 (mild). These non-pharmacological techniques can be used as a companion to pharmacological therapy.