Purpose: The aim of this study is to  determine how experiential marketing and brand trust affect general patient loyalty in the outpatient section of the Army Hospital in Malang.   Theoretical Framework: The competitiveness of the health industry is increasing so that hospitals must make marketing efforts to create loyal patients, which is expected to affect visit rates. Patient impressions and experiences, as well as consumer trust in hospital brands, are important considerations.   Design/methodology/approach: An analytic observational design with a cross-sectional study approach was used to analyze data collected at the Outpatient Unit from April to May 2022 involving outpatient unit patients as participants. By using convenience sampling, 255 people were selected. SmartPLS 3.0 is given to assess the results of research data.   Findings: The results of the study revealed a positive and significant effect of experiential marketing on loyalty (dc 0.225), a positive and significant effect of brand trust on loyalty (dc 0.686), a positive and significant effect of experiential marketing on brand trust (dc 0.819), and a positive and significant effect of experiential marketing on general patient loyalty via a brand trust (ic 0.562).   Research, Practical & Social implications: The implicative suggestion from this study is that that hospitals must always improve marketing, increase the competence and experience of human resources so that the trust and loyalty of non-insured patients in the Army Hospital outpatient unit will increase.   Originality/value: The value of this study focuses on analyzing the factors that are considered relevant to influence the decision to visit, namely marketing management, experience, and patient trust. The novelty in this study lies in the object study are in non-insurance patients, and the research site the Army Hospital, using the Structural Equation Modeling (SEM) approach with the Partial Least Square (PLS) method. The results of this study are expected to contribute to the development of marketing science, especially in the field of hospital management.

Knowing the Estimated Fetal Weight (EFW) in prenatal care is important to give appropriate pregnancy and delivery treatments. Since ultrasound device is unavailable in primary health care, fundal height measurement is used to calculate EFW. The Johnson-Toshack formula is commonly used in Indonesia while Risanto formula is a formula made by Indonesian researcher but still rarely used. This study aimed to determine which formula gave closer result to the baby's actual birth weight. Data was taken at Midwife Yeni's practice site since February until April 2019. All women who met the eligibility criteria were recruited. The fundal height was measured using a centimeter tape and the baby's weight was measured using a baby scale. All data was compared to find out which formula gave closer EFW result to the baby's actual birth weight. Both Johnson and Risanto formulas had no significant difference to the baby's birth weight (p value Johnson = 0.093; p value Risanto = 0.105). The mean difference between Risanto's EFW and baby birth weight (∆EFW Risanto) was lower than Johnson's (∆EFW Risanto = 103 gram; ∆EFW Johnson = 121 gram). The conclusion of this study is the Risanto formula gives closer EFW results to the baby's birth weight than the Johnson formula.

BACKGROUND: Families have an important role in prevention for patients who are positive for coronavirus diseases (COVID)-19 with mild symptoms and without symptoms to recover. Support such as providing positive information, moral reinforcement, and special time given by the family is thought to strengthen mental health and can increase the immunity of the patient. AIM: The purpose of this study was to determine the role of family support in the recovery of COVID-19 patients. METHODS: Used was observational analytic with a cross-sectional approach. The subjects were 30 people who had family members diagnosed with COVID-19 and lived in one house and 30 patients recovered from COVID-19 in the islands of Java and Kalimantan. Data analysis used Fisher’s exact test and calculated the prevalence ratio to determine the most dominant role. RESULTS: The results showed that the p-value of the relationship between family support and the recovery of COVID-19 patients was 0.023, and the p-value of the relationship between components and the recovery of COVID-19 patients was emotional support (0.048), appreciation or appraisal support (0.007), informational support (0.023), and instrumental support (0.034). The prevalence ratio for each of these components was emotional support (PR = 0.714), followed by instrumental support (0.667), informational support (0.600), and appreciation or appraisal support (PR = 0.333). CONCLUSIONS: There is a significant role between family supports in the recovery of COVID-19 patients. Emotional support is the strongest component that plays a role in recovery of COVID-19 patients.

To reduce the incidence of stunting, the Central Government, through the Regional Government, made an acceleration effort, namely by forming a stunting convergence team at the regional level. This team consists of related agencies (in this study conducted at the village community empowerment service), village officials, and healthcadres. If the convergence of the stunting prevention team is good, then the program can run accordingly so that the stunting rate can decrease. The convergence team was formed starting in 2019, but the stunting rate in Malang Regency is still high. A quantitative study with a cross-sectional approach involving 378 stunting convergence teams in all villages in Malang District. Data analysis using multiple regression. The results showed that all indicators affecting the convergence of the stunting team in Malang Districtwere still low. From the results of regression analysis with a significance value of p-value = 0.001, the value of the beta coefficient of the effect of team cohesiveness on team integration is 0.878, the R-square value is 0.776. This shows that 77.6% of team integration is influenced by team cohesiveness. The value of the Beta coefficient of the influence of leadership on team integration is 0.830, R-square is 0.852. This shows that 85.2% of team integration is influenced by leadership. To realize a good convergence of prevention teams and reduce stunting, team cohesiveness and leadership roles are needed. If team cohesiveness has been created properly and the leadership has played a maximum role, then team convergence will be good, the central government program can run accordingly, so that the incidence of stunting can be reduced.

The case of late referral is one of the main problems with maternal and infant mortality in Indonesia. The maternal mortality rate in Indonesia is at the highest position in Southeast Asia, at 305 per 100,000 live births. The concept of three models of procrastination is a determinant that has a considerable role in the occurrence of maternal death in society. These delays include being late in recognizing red flags and making decisions, being late in reaching health facilities, and being late in getting help. When a maternal emergency occurs, the rapid decision- making by the mother or family to decide on referral approval is a contributing factor to the success of medical interventions to prevent mortality. In addition, survival depends on the fast and appropriate initial management and implementation of referral procedures by the midwife or referring health center. This study aims to determine how the relationship between family support and referral procedures for delays in maternal emergency referrals with delays in decision making as intervening variables. This type of research is analytical with a cross- sectional design. A sample of 92 respondents was taken using accidental sampling techniques using inclusion and exclusion criteria. Data were obtained by distributing family support questionnaires to referral patients and structured interviews for referring midwives to explore referral procedures. The data were analyzed using chi-squere tests and path analysis. Of the 92 referral cases, 57 respondents (61.9%) experienced delays in making decisions and 8 cases (8.7%) experienced delays in referrals. The results of statistical tests on predisposing factors were found to have no meaningful relationship with delays in maternal emergency referrals with a p value of > α 0.05. The results of the path analysis on 2 independent variables, namely family support and referral procedures for delays in decision making and their impact on referral delays showed varying results. There is a significant relationship in several pathways, namely: family support with late referrals, family support for late decision making, referral procedures with delays in decision making, delays in decision making with late referrals, referral procedures with delays in referrals, and family support and referral procedures for late referrals through delays in decision making with a value of p<0.05. Meanwhile, in several other pathways, no significant relationship (p>0.05) was obtained, namely: predisposing factors (age, education, income, parity, frequency of pregnancy examinations) to late referrals Keywords: Family Support Referral Procedures Emergency Referral Delays