scholarly journals ANALISIS LAMA WAKTU PELAYANAN LABORATORIUM DI RUMAH SAKIT UMUM DAERAH PASAMAN BARAT

2018 ◽  
Vol 5 (1) ◽  
pp. 114-121
Author(s):  
Betti Rosita ◽  
Ulfa Khairani
Keyword(s):  
Health Services ◽  
Waiting Time ◽  
Service Time ◽  
Clinical Chemistry ◽  
Clinical Pathology ◽  
Blood Chemistry ◽  
Pathology Laboratory ◽  
Cross Sectional ◽  
Laboratory Service ◽  
Laboratory Services

Hospital laboratory services is one of the activities in hospitals that support quality health services. One indicator of the success of health services in the field of clinical pathology laboratory services is the waiting time for laboratory services. The standard set for laboratory service outcome waiting time is ≤ 140 minutes for blood chemistry and routine blood. This research analyzed the service time of outpatient laboratory that conducted hematology and clinical chemistry examination in the laboratory of Pasaman Barat Hospital. This research is a type of descriptive analytic research that is quantitative and supported by qualitative using cross sectional approach. The result of the research showed that laboratory service time at RSUD Pasaman Barat fulfilled the standard (≤ 140 minutes) for hematology examination 33.94 minutes, clinical chemistry 83.92 minutes, hematology and clinical chemistry 98 minutes. Based on the results of this study, the stages that contribute to the length of time laboratory services for hematological examination lies in the pre analytical stage, for clinical chemistry examination is located at the analytical stage, as well as for hematology and clinical chemistry examination lies in the analytic stage as well as the factors that affect the length of time laboratory services are human resources that is in the ability of officers and infrastructure facilities

scholarly journals ANALISIS BEBAN KERJA DI INSTALASI LABORATORIUM

2016 ◽  
Vol 20 (1) ◽  
pp. 64
Author(s):  
Amiroh Kurniati ◽  
Tahono Tahono
Keyword(s):  
Clinical Pathology ◽  
Work Load ◽  
Accurate Method ◽  
Development Planning ◽  
Smear Microscopy ◽  
Pathology Laboratory ◽  
Laboratory Installation ◽  
Laboratory Service ◽  
Laboratory Staff ◽  
Manpower Needs

Human resources (HR) planning is associated with an institution’s strategic plan, so the study of the required number of support personnel is in line with the direction of business development planning of the Laboratory Installation Unit. WISN (work load indicator staff need) method is a calculation based on the analysis of health manpower needs of the workload (work load analysis) and is considered as the most accurate method to calculate labour requirements in short-term. Based on the results of the analysis of manpower needs at the Laboratory Installation of Lung Health of the Community Hall Surakarta, it is known that there is still a lack of a number of five (5) persons of the health laboratory staff. The persons still lacking consist of: one (1) laboratory person related to clinical pathology laboratory, one (1) laboratory person for smear microscopy laboratory, and still three (3) microbiology laboratory persons. These persons are needed to be able to carry out the activities for a good laboratory service, and quality which is in accordance with the related applicable standards.

scholarly journals Point-of-Care Diagnostic Services as an Integral Part of Health Services during the Novel Coronavirus 2019 Era

Diagnostics ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 449
Author(s):  
Tivani P. Mashamba-Thompson ◽  
Paul K. Drain
Keyword(s):  
Health Services ◽  
Mobile Technology ◽  
Point Of Care ◽  
Holistic Approach ◽  
The Novel ◽  
Pathology Laboratory ◽  
Laboratory Services ◽  
Point Of Care Diagnostics ◽  
Private And Public ◽  
Novel Coronavirus

Point-of-care (POC) diagnostic services are commonly associated with pathology laboratory services. This issue presents a holistic approach to POC diagnostics services from a variety of disciplines including pathology, radiological and information technology as well as mobile technology and artificial intelligence. This highlights the need for transdisciplinary collaboration to ensure the efficient development and implementation of point-of-care diagnostics. The advent of the novel coronavirus 2019 (COVID-19) pandemic has prompted rapid advances in the development of new POC diagnostics. Global private and public sector agencies have significantly increased their investment in the development of POC diagnostics. There is no longer a question about the availability and accessibility of POC diagnostics. The question is “how can POC diagnostic services be integrated into health services in way that is useful and acceptable in the COVID-19 era?”.

scholarly journals Factors Associated With Patient Waiting Time at a Medical Outpatient Clinic: A Case Study of University of Nairobi Health Services

2021 ◽  
Vol 6 (12) ◽  
pp. 915-918
Author(s):  
Rebecca Bisanju Wafula (BSCN, MSCHSM) ◽  
Dr. Richard Ayah (MBCHB, MSC, PHD)
Keyword(s):  
Health Services ◽  
Health Care Providers ◽  
Waiting Time ◽  
Outpatient Clinic ◽  
Health Workers ◽  
Waiting Times ◽  
Care Providers ◽  
Cross Sectional ◽  
Patient Waiting Time ◽  
Patient Waiting

Background: Long waiting time in outpatient clinics is a constant challenge for patients and the health care providers. Prolonged waiting times are associated with poor adherence to treatment, missed appointment and failure or delay in initiation of treatment and is a major factor towards the perception of the patient towards the care received. Objective: To determine the waiting time and associated factors among out patients attending staff clinic at University of Nairobi health services. Method: A cross-sectional study design was used and data collected from 384 ambulatory patients over a period of four weeks using an interviewer administered pretested structured exit questionnaire with a time-tracking section. Simple random sampling was used to select respondents in a walk- in outpatient clinic set up. Data was cleaned and analysed using Statistical Package for Social Sciences (SPSS) 20. Analysis of variance (ANOVA), and cross tabulation was used to establish associations between the independent variable and dependent variables. Results: In total 384 patients were tracked and interviewed. The average patient waiting time was 55.3mins.Most respondents (52%) suggested that improving availability of staff at their stations would help to reduce patient waiting time. In this study, gender (P=0.005) and availability of doctors (p=0.000) were found to affect patient waiting time with women waiting longer than the male patients. Conclusion: Majority of the patients spent about an hour at the facility to be served. Inadequate number of health workers was the main cause of long waiting time.

scholarly journals The Relationship of Ability to Pay and Ownership of Health Insurance towards Willingness to Pay Laboratory Services at Persahabatan Hospital, East Jakarta

2020 ◽  
Author(s):  
Siska Putri Utami ◽  
◽  
Yanti Harjono Hadiwiardjo ◽  
Kristina Simanjuntak ◽  
◽  
...  
Keyword(s):  
Health Insurance ◽  
Health Services ◽  
Willingness To Pay ◽  
Observational Research ◽  
Chi Square ◽  
Study Program ◽  
Cross Sectional ◽  
Ability To Pay ◽  
Laboratory Services ◽  
The Relationship

ABSTRACT Background: Limited cost of health services, especially in laboratory tests for diagnoses, causes doctors to consider patient’s willingness to pay so the costs are spent more efficiently. Some factors which supposedly affect the willingness to pay are ability to pay and health insurance ownership. This study aims to know the relationship between ability to pay and health insurance ownership with the willingness to pay for laboratory services in outpatients at RSUP Persahabatan. Method: This research was an analytical observational research with cross-sectional design. Samples consisted of 70 outpatients at RSUP Persahabatan laboratory collected by consecutive sampling. The dependent variable is willingness to pay and the independent variable are the ability to pay and insurance ownership measured using a questionnaire. The data was analyzed by Chi-square. Results: Chi-square test results showed relationship between the ability to pay and the willingness to pay for laboratory health services (OR= 13.14; 95% CI= 2.76 to 62.49; p< 0.001). There was no relationship between health insurance ownership and the willingness to pay for laboratory health services (OR= 2.82; 95% CI= 0.85 to 9.33; p= 0.083). Conclusion: High ability to pay will lead to high willingness to pay, since their need for food has been met and they will shift to the need for health. The health insurance ownership does not affect the willingness of patients in paying laboratory service. Keywords: Ability to Pay, Health Insurance, Hospital, Laboratory Services, Willingness to Pay. Correspondence: Siska Putri Utami. Medicine Study Program, Medicine Study Program, Faculty of Medicine, UPN “Veteran” Jakart. Jl. RS. Fatmawati Raya, Pd. Labu, Cilandak district, Depok, West Java, 12450. Email: [email protected]. Phone: (021) 7656971 DOI: https://doi.org/10.26911/the7thicph.04.18

scholarly journals Development and Implementation of Network-Resident Clinical Laboratory Tools in an Integrated Health Delivery System

1997 ◽  
Vol 2 (3) ◽  
pp. 18-22
Author(s):  
Michael E. Sendek ◽  
Mohamed A. Virji
Keyword(s):  
Delivery System ◽  
Clinical Laboratory ◽  
Care Delivery ◽  
Clinical Chemistry ◽  
Point Of Care ◽  
Clinical Pathology ◽  
Current Data ◽  
Conceptual Approach ◽  
Pathology Laboratory ◽  
Integrated Health

The conceptual approach to a system of network resident-training tools for use in a clinical pathology laboratory is described and specific modules developed for use in an integrated health care delivery system. The modules have been developed to be accessible throughout an organization, are amenable to customization, are designed for use by personnel with varied knowledge of laboratory techniques, and can be updated readily. The modules designed are for dry slide clinical chemistry analyses, white blood cell maturation sequence, and flow cytometry. The concept can be applied to other laboratory functions including point-of-care testing service. The modules incorporate flexibility of integrating text with digital images, sound and animation. The core of the system is based on readily available software for Internet. Therefore, the system of laboratory tools can provide the means for rapidly accessible, current data resources for a variety of purposes for a laboratory to operate in an integrated delivery system.

ANGKA BANDING ALBUMIN KREATININ AIR KEMIH DAN HbA1C SERTA ESTIMASI LAJU FILTRASI GLOMERULUS PADA PASIEN DIABETES MELITUS TIPE 2

2016 ◽  
Vol 21 (3) ◽  
pp. 250
Author(s):  
Amiroh Kurniati ◽  
Tahono Tahono
Keyword(s):  
Glycemic Control ◽  
Clinical Pathology ◽  
Poor Glycemic Control ◽  
Control Group ◽  
Pathology Laboratory ◽  
Cross Sectional ◽  
Chronic Hyperglycemia ◽  
Type 2 Dm ◽  
Spearman Correlation Test

Diabetes Mellitus (DM) type 2 is a metabolic disease that prevalence increasing. A chronic hyperglycemia with poor glycemic control can stimulate oxidative stress, which will continue to occurrence of complications in the kidneys characterized by the presenceof microalbuminuria can be measured by the ratio of urinary albumin creatinine ratio (UACR) and the change in estimated glomerular filtration rate (eGFR). The aims of this study was to know the correlation between the UACR with HbA1c value and eGFR in patients with type 2 DM by finding them out. This study used cross sectional research design. Subjects were patients with type 2 DM who attend control in Endocrinology Subdivision of Internal Medicine Departement and perform blood and urine tests in Clinical Pathology Laboratory in Dr. Moewardi Hospital Surakarta in August 2013. To determine the pattern of the data distribution, the researchers used KolmogorovSmirnov test, and to analyse the result used Spearman (r) correlation with p<0.05 and confidence interval 95%. Statistical analysis using Spearman correlation test (r), significant when p<0.05 with 95% confidence intervals. From 68 samples examined the mean age is 60.9 year old, with equal participants for male and female (34 subjects each). Most subjects were in poor glycemic control group (72.1%) and in the range of microalbuminuria (44.1%). There was a significant correlation between UACR with HbA1c and eGFR in type 2 DM patient (r=0.412, p=0.000; and r= -0.270, p=0.02, respectively). Based on this study it can be concluded that increased UACR were associated with worsened glycemic control and were characterized by higher levels of HbA1c and its eGFR value would be lower. Further analysis requires further research with a larger sample size and more attention to the factors that may affect the related examination

scholarly journals DETERMINATION OF GRAY ZONE RANGE IN HBsAg TEST AND ITS IMPLICATION FOR HBsAg CONFIRMATION TEST

2018 ◽  
Vol 24 (2) ◽  
pp. 127
Author(s):  
Vina Zakiah Latuconsina ◽  
Irda Handayani ◽  
Asvin Nurulita ◽  
Uleng Bahrun Uleng Bahrun
Keyword(s):  
False Positive ◽  
False Negative ◽  
Clinical Pathology ◽  
Cross Sectional Study ◽  
Gray Zone ◽  
Chi Square ◽  
Pathology Laboratory ◽  
Cross Sectional ◽  
Confirmation Test ◽  
Chi Square Test

Hepatitis is an inflammation of liver cells caused by infection (virus, bacteria, paracytes), medication, alcohol consumption, excessive lipid and autoimmune disease. Increasing method (sensitivity) of HBsAg test is often followed by a lot of false positive test results, which need a confirmation test which takes a longer time and higher cost so that it is needed to determine an optimal gray zone range for a confirmation test. This analytical cross-sectional study was held at the Clinical Pathology Laboratory of the Dr.Wahidin Sudirohusodo Hospital Makassar. The subjects were specimens which HBsAg value was within 0.06-1 COI. Specimens were examined using HBsAg confirmation test. Over 49 samples collected there were 32 reactive and 17 non-reactive. 14 out of 32 reactive samples (43.8%) were confirmed as negative (false positive) by HBsAg confirmation test and 3 out of 17 non-reactive samples (17.6%) were confirmed as positive (false negative). Chi-square test showed a significant correlation between HBsAg value and HBsAg confirmation test value (p=0.009). Chi-square test with some intervals with α=1% showed that the interval of HBsAg value 0.13-0.17 COI was the interval with the lowest significant value (p=0.004). This subsequent interval was recommended as the gray zone range. The range 0.13-0.17 was most optimal as HBsAg gray zone to determine the need for a confirmation test. A further study with larger samples is suggested. 

scholarly journals ANALISIS CAIRAN DARAH (TRANSUDAT) DAN SERUM CAMPURAN (EKSUDAT) DI PENDERITA DENGAN REMBESAN SELAPUT PARU (EFUSI PLEURA)

2018 ◽  
Vol 15 (2) ◽  
pp. 57
Author(s):  
Didi Irwadi ◽  
Sulina Y. Wibawa ◽  
Hardjoeno Hardjoeno
Keyword(s):  
Pleural Effusion ◽  
Leukocyte Count ◽  
Clinical Pathology ◽  
Cross Sectional Study ◽  
T Test ◽  
Pathology Laboratory ◽  
Cross Sectional ◽  
Old Patients ◽  
Acinetobacter Spp ◽  
Staphylococcus Spp

Pleural effusion is a fluid excess into pleural cavity due to transudation or exudation processes. The fluid deposited in the cavity canthreat the patient’s life. The pleural effusion could be produced in a patient with tuberculosis, cancer, cardiac failure, renal failure orviral/bacterial infection. The study is aimed to analyze the patterns of substance in the pleural effusion fluids produced by differentdiseases. A cross sectional study was performed from June 2006 to June 2007 at Clinical Pathology Laboratory of Dr. WahidinSudirohusodo Hospital, Makassar. The fluids were tested for glucose, total protein, LDH, and leukocyte count. Of 87 pleural effusion fluidsamples from 14–80 years old patients, 34.5% were transudates and 65.5% were exudates. Glucose value was higher (one tail T test,p < 0.01) in transudates group, whereas protein, LDH and leukocyte count were higher (one tail T test, p < 0.01) in exudates group.There were no significant differences of glucose, protein, LDH and leukocyte count among diseases within transudates group, as well aswithin exudates group. Staphylococcus spp., Klebsiella spp., and Acinetobacter spp., were the predominant bacteria revealed from thefluid cultures. Values of glucose, protein, LDH and leukocyte count have a different pattern between transudates and exudates groups.However, no special patterns were found among diseases within groups.

COMPARISON OF ROUTINE HEMATOLOGY RESULTS BASED ON LOCAL LABORATORY REFERENCE VALUE AND SYSMEX KX-21 REFERENCE VALUE IN HASAN SADIKIN HOSPITAL BANDUNG

2015 ◽  
Vol 1 (2) ◽  
Author(s):  
Adrian Suhendra
Keyword(s):  
Reference Values ◽  
Japanese Population ◽  
Normal Population ◽  
Clinical Pathology ◽  
Reference Value ◽  
Pathology Laboratory ◽  
Cross Sectional ◽  
Value Range ◽  
The Subject ◽  
Local Laboratory

Various factors contribute to the routine hematology values in a healthy-looking person. Variability in analysis methods can also influence the results. However, all of the factors above can be standardized. Those variables have to be considered in determining hematology reference values. The aim of this research is to compare routine hematology results based on local RSHS Clinical Pathology laboratory with Sysmex KX-21 reference values in Medical Check Up (MCU) patients. Another aim is to determine own reference values of RSHS Clinical Pathology Laboratory. The subject of research is MCU patients who came to RSHS Clinical Pathology laboratory, Bandung, for medical check-ups and declared healthy by the internist, and meet the inclusion criteria. The method used is diagnostic test research with cross-sectional descriptive design. The result shows that routine hematology values range that is not too different from reference value range used for KX-21 in Japanese population. Nevertheless, the value range acquired in this research is closer to reference values in Wintrobe reference book. In conclusion, this research shows that routine hematology results of normal population in RSHS are closer to Wintrobe reference values compared to Sysmex KX-21 reference value in Japanese population.  Keywords : reference value range, MCU, Wintrobe, Sysmex KX-21

scholarly journals Role of laboratory services in primary health center (PHC) outpatient department performance: an Indian case study

2019 ◽  
Vol 20 ◽  
Author(s):  
Rahi Jain ◽  
Bakul Rao
Keyword(s):  
Positive Association ◽  
Outpatient Department ◽  
Secondary Source ◽  
Health Coverage ◽  
Population Coverage ◽  
Cross Sectional ◽  
Laboratory Service ◽  
Primary Health ◽  
Laboratory Services

Abstract Background: In resource-constrained settings, primary health centers (PHCs) are critical for universal health coverage. Laboratory service is one of its important components. While PHC and its performance are focused, its laboratory service has been neglected in developing countries like India. Aim: To determine the role of different level of PHC laboratory services on the overall PHC performance. Methods: Cross-sectional study based on 42 PHCs of Osmanabad District, Maharashtra, India was performed. The study used levels of laboratory services in PHC as independent parameter and PHC outpatient department (OPD) visits per day (≤ 80 versus > 80) as dependent parameter. The control parameters used in the study were number of medical doctors, availability of laboratory technicians (LTs) and population coverage by PHC. Field visit was done to collect data on levels of laboratory services, but secondary source was used for other parameters. The logistic regression analysis was performed in study. Findings: The study found variation in PHC population coverage (10 788–74 702) and OPD visits per day (40–182) across PHC. Strong positive association was observed between levels of laboratory services and number of OPD visits per day in PHC. PHC offering both malaria and tuberculosis in-house testing had higher odds (4.81) of getting more OPDs (≥ 80 OPD visits per day) as compared to PHC not offering in-house testing facility for malaria and tuberculosis. This association was stronger in PHCs with lower population coverage (0–75 quartile) as compared to PHCs with higher population coverage (75–100 quartile). Conclusion: Focus on laboratory services is needed to enhance the existing PHCs performance. Skill-up gradation of existing LT could help in improving the contribution of the existing laboratories in PHC functioning.

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