scholarly journals Impact of ‘Ideal Clinic’ implementation on patient waiting time in primary healthcare clinics in KwaZulu-Natal Province, South Africa: A before-and-after evaluation

2018 ◽  
Vol 108 (4) ◽  
pp. 311 ◽  
Author(s):  
B A Egbujie ◽  
A Grimwood ◽  
E C Mothibi-Wabafor ◽  
G Fatti ◽  
A M E T Tshabalala ◽  
...  
Keyword(s):  
South Africa ◽  
Waiting Time ◽  
Primary Healthcare ◽  
Kwazulu Natal ◽  
Before And After ◽  
Patient Waiting Time ◽  
Primary Healthcare Clinics ◽  
Patient Waiting

scholarly journals Factors Influencing Patient Experience in Primary Healthcare Clinics within the eThekwini Municipality in KwaZulu-Natal

2021 ◽  
Vol 23 (1) ◽  
Author(s):  
Hope Padayachee ◽  
Emmanuel Mutambara
Keyword(s):  
South Africa ◽  
Patient Experience ◽  
Primary Healthcare ◽  
Cross Sectional ◽  
Factors Influencing ◽  
Healthcare Evaluation ◽  
Kwazulu Natal ◽  
Experience Education ◽  
Quantitative Descriptive ◽  
Primary Healthcare Clinics

Patient experience is seen as a fundamental measure for healthcare evaluation, which fuels the debate regarding the most relevant factors influencing patient experience. Limited empirical knowledge exists concerning the factors that influence patient experience from the users’ perspective in South Africa. This study addresses the research gap by determining the factors influencing patient experience among primary healthcare users in Waterloo, Grove-End and Stonebridge communities in the eThekwini Municipality of KwaZulu-Natal. The study is quantitative, descriptive and cross-sectional, and utilises a self-administered questionnaire that was distributed among 280 primary healthcare users. They strongly agreed (> 90%) that all the factors presented in the study are contributors to their patient experience. The factor analysis determined the relevance of the factors as perceived by the respondents. It was found that the doctor’s role (0.970), clinic cleanliness (0.943), coordination and continuity of care (0.943), and waiting time (0.914) are the most significant influencers of patient experience. Education (0.898), nurses (0.882), medication (0.854) and the quality of care (0.853) serve as moderate influencers. Access (0.745), family/friend involvement (0.722) and the physical state of the infrastructure (0.714) are mild influencers of patient experience. Patient-centred care (0.639), management effectiveness (0.637), communication (0.596) and information (0.443) were non-influencers of patient experience. User experience is multifaceted and each factor represents a varying level of influence. It is recommended that a patient-experience framework should be developed that can be linked to improvement initiatives within South Africa in an effort to support quality improvement.

scholarly journals Improving Adult ART Clinic Patient Waiting Time by Implementing an Appointment System at Gondar University Teaching Hospital, Northwest Ethiopia

2015 ◽  
Vol 2015 ◽  
pp. 1-5 ◽  
Author(s):  
Asmamaw Atnafu ◽  
Damen Haile Mariam ◽  
Rex Wong ◽  
Taddese Awoke ◽  
Yitayih Wondimeneh
Keyword(s):  
Waiting Time ◽  
Target Population ◽  
Health Service Delivery ◽  
Northwest Ethiopia ◽  
University Teaching ◽  
Significance Level ◽  
Before And After ◽  
Patient Waiting Time ◽  
Appointment System ◽  
Patient Waiting

Background. Long waiting time has been among the major factors that affect patient satisfaction and health service delivery. The aim of this study was to determine the median waiting time at the Anti-Retroviral Therapy (ART) Clinic before and after introduction of an intervention of the systematic appointment system.Methods. Patient waiting time was measured before and after the introduction of an intervention; target population of the study was all adult HIV patients/clients who have visited the outpatient ART Clinic in the study period. 173 patients were included before and after the intervention. Systematic patient appointment system and health education to patients on appointment system were provided as an intervention. The study period was from October 2011 to the end of January 2012. Data were analyzed using SPSS software version 17.0. Independent samplet-test at 95% confidence interval and 5% significance level was used to determine the significance of median waiting time difference between pre- and postintervention periods.Results and Conclusion. The total median waiting time was reduced from 274.8 minutes (IQR 180.6 minutes and 453.6 minutes) before intervention to 165 minutes (IQR 120 minutes and 377.4 minutes) after intervention (40% decrease,p=0.02). Overall, the study showed that the introduction of the new appointment system significantly reduces patient waiting time.

scholarly journals The Impact of Longer Consultation Time: A Simulation-Based Approach

2020 ◽  
Vol 11 (05) ◽  
pp. 857-864
Author(s):  
Abdulrahman M. Jabour
Keyword(s):  
Waiting Time ◽  
Quality Care ◽  
Working Hours ◽  
Discrete Events ◽  
Simulation Based ◽  
Patient Waiting Time ◽  
Free Environment ◽  
The Impact ◽  
Consultation Time ◽  
Patient Waiting

Abstract Background Maintaining a sufficient consultation length in primary health care (PHC) is a fundamental part of providing quality care that results in patient safety and satisfaction. Many facilities have limited capacity and increasing consultation time could result in a longer waiting time for patients and longer working hours for physicians. The use of simulation can be practical for quantifying the impact of workflow scenarios and guide the decision-making. Objective To examine the impact of increasing consultation time on patient waiting time and physician working hours. Methods Using discrete events simulation, we modeled the existing workflow and tested five different scenarios with a longer consultation time. In each scenario, we examined the impact of consultation time on patient waiting time, physician hours, and rate of staff utilization. Results At baseline scenarios (5-minute consultation time), the average waiting time was 9.87 minutes and gradually increased to 89.93 minutes in scenario five (10 minutes consultation time). However, the impact of increasing consultation time on patients waiting time did not impact all patients evenly where patients who arrive later tend to wait longer. Scenarios with a longer consultation time were more sensitive to the patients' order of arrival than those with a shorter consultation time. Conclusion By using simulation, we assessed the impact of increasing the consultation time in a risk-free environment. The increase in patients waiting time was somewhat gradual, and patients who arrive later in the day are more likely to wait longer than those who arrive earlier in the day. Increasing consultation time was more sensitive to the patients' order of arrival than those with a shorter consultation time.

scholarly journals Social and Demographic Factors Associated with Postnatal Depression Symptoms among HIV-Positive Women in Primary Healthcare Facilities, South Africa

Healthcare ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 65
Author(s):  
Kebogile Elizabeth Mokwena ◽  
Nontokozo Lilian Mbatha
Keyword(s):  
South Africa ◽  
Primary Healthcare ◽  
Postnatal Depression ◽  
Hiv Positive ◽  
P Value ◽  
Depression Symptoms ◽  
Healthcare Facilities ◽  
Factors Associated ◽  
Hiv Positive Women ◽  
Kwazulu Natal

Background: Mothers living with HIV are at risk for mental health problems, which may have a negative impact on the management of their HIV condition and care of their children. Although South Africa has a high prevalence of HIV, there is a dearth of studies on sociodemographic predictors of postnatal depression (PND) among HIV-positive women in South Africa, even in KwaZulu Natal, a province with the highest prevalence of HIV in the country. Objective: The objective of the study was to determine sociodemographic factors associated with the prevalence of postnatal depression symptoms among a sample of HIV-positive women attending health services from primary healthcare facilities in Umhlathuze District, KwaZulu Natal. Methods: A quantitative cross-sectional survey was used to collect data from 386 HIV-positive women who had infants aged between 1 and 12 weeks. The Edinburgh Postnatal Depression Scale (EPNDS), to which sociodemographic questions were added, was used to collect data. Results: The prevalence of PND symptoms among this sample of 386 HIV-positive women was 42.5%. The age of the mothers ranged from 16 to 42 years, with a mean of 29 years. The majority of the mothers were single or never married (85.5%; n = 330), living in a rural setting (81.9%; n = 316%), with a household income of less than R 2000 (estimated 125 USD) per month (64.9%; n = 120). The government child support grant was the main source of income for most of the mothers (53%; n = 183). PND symptoms were significantly associated with the participant’s partner having other sexual partners (p-value < 0.001), adverse life events (p-value = 0.001), low monthly income (p-value = 0.015), and being financially dependent on others (p-value = 0.023). Conclusion: The prevalence of PND symptoms among the sample is high, with a number of social and demographic factors found to be significantly associated with PND. This requires the consideration of sociodemographic information in the overall management of both HIV and postnatal depression. Addressing the impact of these factors can positively influence the health outcomes of both the mother and the baby.

scholarly journals Implementation of Point-of-Care Diagnostics in Rural Primary Healthcare Clinics in South Africa: Perspectives of Key Stakeholders

Diagnostics ◽  
2017 ◽  
Vol 7 (1) ◽  
pp. 3 ◽  
Author(s):  
Tivani Mashamba-Thompson ◽  
Ngcwalisa Jama ◽  
Benn Sartorius ◽  
Paul Drain ◽  
Rowan Thompson
Keyword(s):  
South Africa ◽  
Primary Healthcare ◽  
Point Of Care ◽  
Point Of Care Diagnostics ◽  
Key Stakeholders ◽  
Primary Healthcare Clinics

scholarly journals Hearing-screening record-keeping practices at primary healthcare clinics in Gauteng

2013 ◽  
Vol 60 (1) ◽  
Author(s):  
Karin Joubert ◽  
Aisha Casoojee
Keyword(s):  
South Africa ◽  
Child Health ◽  
Primary Healthcare ◽  
Hearing Screening ◽  
Child Health Services ◽  
Record Keeping ◽  
Screening Practices ◽  
The Road ◽  
Primary Healthcare Clinics ◽  
Accurate Record

Objectives: As little is known about hearing screening practices at primary healthcare (PHC) clinics in South Africa, the study aimed to describe hearing-screening and record-keeping practices of nurses during typical immunisation sessions at PHC clinics in Gauteng, South Africa.Methods: Data were obtained through observations (N2=80) and questionnaires (N1=20) which were then cross-checked with retrospective information collected from the Road-to-Health Charts and City of Johannesburg Child Health Services Blue Cards of children observed during typical immunisation sessions.Results: A key finding of this study was that PHC nurses who participated in this study do not adhere to the hearing-screening record-keeping practices as outlined by the national Department of Health.Conclusions: Poor record-keeping practices hinder the efficacy of hearing-screening programmes. Accurate record keeping is important in order to document outcomes which can be used to evaluate service delivery and the efficacy of hearing-screening programmes.

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