Perceived impact of digital health technology on health professionals and their work: A qualitative study in Southern Ghana.

Background: Digital health technology (DHT) has become an essential part of an effective and efficient healthcare information system. Although DHT promises great potential it does not always meet the expectation of users. Often, in low- and middle-income countries (LMICs), the implemented DHT does not function as intended and impacts negatively on health professionals and their work. Therefore, this study explored the views of participants about the impact of DHTs on the work of health professionals after it has been introduced in Ghana. Methodology: The study used a qualitative research approach where in-depth interviews (IDIs) were conducted with study participants across three health facilities in Ghana. A purposive sampling technique was used to select participants. All interviews were audio recorded, transcribed, and coded into themes using QSR Nvivo 12 software before thematic content analysis. Results: Our findings revealed that DHT reduced the workload on the healthcare providers and also ensures continuity of care. Participants perceived that DHT was fast, and ensures quality and accurate information, which could be easily accessed by health professionals for better decision making. However, poor internet connectivity and erratic power supplies were reported as the main impediments causing delays and frustrations to the staff at the study health facilities. Conclusion: The study found that DHT has a positive effect on the work of health professionals. However, poor internet connectivity and unstable power supply caused delays in the provision of care and disruptions in the work process affecting the smooth operation of the DHT and threatening to erode the potential benefits to the health system and users.

Telehealth services for global emergencies: implications for COVID-19: a scoping review based on current evidence.

INTRODUCTION: The availability of low-cost computing and digital telecommunication in the 1980s made telehealth practicable. Telehealth has the capacity to improve healthcare access and outcomes for patients while reducing healthcare costs across a wide range of health conditions and situations. OBJECTIVE: This study compares the adoption, advantages, and challenges of telehealth services between high-income (HICs) and low-and-middle-income countries (LMICs) before and during the COVID-19 pandemic. METHODS: Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. The key search terms were: "Telehealth", "Telehealth in HICs", "Telehealth in LMICs", "Telehealth before COVID-19", "Telehealth during COVID-19". We searched exhaustively ProQuest, Scopus, Web of Science, Google Scholar, CINAHL, and EMBASE databases from 2012. Booleans OR/AND were combined with key search terms to increase relevant search results. The literature search and selection process followed the Sample, Phenomena of Interest, Design, Evaluation, and Research (SPIDER) question format. RESULTS: The adoption of telehealth before COVID-19 was generally low in both HICs and LMICs. The impact of COVID-19 accelerated the adoption of telehealth at the facility level but not nationwide in both high-income countries and LMICs. The rapid adoption of telehealth at the facility level in both high-income and LMICs introduced several challenges that are unique to each country and need to be addressed. CONCLUSION: The lack of national policies and regulations is making the adoption of telehealth at the national level challenging in both high and low-middle-income countries. Governments and Stakeholders of healthcare must consider telehealth as a healthcare procedure that should be deployed in clinical working procedures. Primary quantitative and qualitative studies must be conducted to address challenges encountered during the pilot implementation of telehealth services in both high-income countries and LMICs before and during pandemics.

Health professional's readiness and factors associated with telemedicine implementation and use in selected health facilities in Ghana.

Background: Telemedicine, which is the practice of medicine using technology to deliver health care remotely, has a low adoption rate in low- and middle-income countries (LMICs). However, the advent of coronavirus disease 2019 (COVID-19) has forced healthcare systems in these settings to begin implementing telemedicine programs. It is unknown how prepared health professionals and the healthcare system are to adopt this technology. Therefore, this study aimed to assess the readiness of health professionals and explore factors associated with telemedicine implementation in Ghana. Methods: A cross-sectional study was conducted in six health facilities between March and August 2021. Convenience sampling was used to select the six health facilities, and the participants were selected randomly for the study. Questionnaires were self-completed by participants. Data was exported into STATA 15.0 for analysis, and appropriate statistical methods were employed. All statistical tests were performed at a significance level of p < 0.05. Results: Of the 613 health professionals involved in the study, about 579 (94.5%) were comfortable using computers, and the majority, 503 (82.1%) of them, had access to computers at the workplace. Health professionals agreed that the measures outlined by the health facilities supported their readiness to use telemedicine for healthcare services. Analysis revealed a statistically significant positive relationship between health facilities' core readiness and health professionals' readiness, with a correlation coefficient (r) of 0.5484 and a p-value<0.0001. Of the factors associated with health professionals' readiness towards telemedicine implementation, facility core readiness, engagement readiness, staff knowledge and attitude readiness showed a statistically significant relationship with health professionals' readiness. Conclusion: The study revealed that health professionals are ready to adopt telemedicine. There was a statistically significant relationship between health facilities' core readiness, engagement readiness, staff knowledge and attitude readiness, and health professionals' readiness. The study identified factors facilitating telemedicine adoption.

Healthcare Providers' Intention to Use Technology to Attend to Clients in Cape Coast Teaching Hospital, Ghana.

BACKGROUND: Patient records' relevance is associated with a variety of needs and objectives. Substantiating the health of patients perpetually and allowing professionals in the medical field to assess both signs and symptoms that fall in a relatively wider temporal point of view and contributions that lead to enhanced diagnoses and treatment are all quintessential of patient records. The advancement of information technology systems has led to the anticipation that development will be put into digitization and electronic means of storing patient records in order to grease their handling. Cape Coast Teaching Hospital (CCTH) is piloting implementation of patient's electronic health record system. The introduction of the electronic health record system known as Lightwave Hospital Information Management System (LHIMS) was to provide a permanent solution to patients' continuity of care. User's acceptance of new information technology is seen to be one of the most challenging issues in information system. This study assesses healthcare providers' (HP') behavioural intention to use LHIMS to attend to clients in Cape Coast Teaching Hospital and other factors influencing it. METHODS: A nonexperimental cross-sectional study was used to obtain information from 84 HP recruited from the various departments and units in CCTH who use LHIMS to attend to clients. The sample size of 90, representing 8% of HP in CCTH, was randomly selected from the various departments and units. However, 84 (indicating 93.3% response rate) of the selected HP were available during the period of the research. RESULTS: Perceived ease of use (PEOU) of LHIMS had the strongest direct effect on perceived usefulness (PU), with a highly significant path coefficient of 0.75. PU had the greatest impact on attitude about HP' behavioural intention to use (BIU) LHIMS to attend to patients' healthcare delivery in CCTH (0.91). This relationship was highly significant at p < 0.001. PEOU did not have a significant direct effect on attitude about LHIMS use, as hypothesized in the original technology acceptance model. However, attitude towards use had a strong significant effect on HP' BIU of LHIMS, with a strong statistically significant path coefficient of 0.98 at p < 0.001. CONCLUSIONS: We conclude that attitude towards use have a significant influence on HP' behavioural intention to use LHIMS to attend to clients in Cape Coast Teaching Hospital.

Challenges and experiences in linking community level reported out-of-pocket health expenditures to health provider recorded health expenditures: Experience from the iHOPE project in Northern Ghana.

Out of pocket health payment (OOPs) has been identified by the System of Health Accounts (SHA) as the largest source of health care financing in most low and middle-income countries. This means that most low and middle-income countries will rely on user fees and co-payments to generate revenue, rationalize the use of services, contain health systems costs or improve health system efficiency and service quality. However, the accurate measurement of OOPs has been challenged by several limitations which are attributed to both sampling and non-sampling errors when OOPs are estimated from household surveys, the primary source of information in LICs and LMICs. The incorrect measurement of OOP health payments can undermine the credibility of current health spending estimates, an otherwise important indicator for tracking UHC, hence there is the need to address these limitations and improve the measurement of OOPs. In an attempt to improve the measurement of OOPs in surveys, the INDEPTH-Network Household out-of-pocket expenditure project (iHOPE) developed new modules on household health utilization and expenditure by repurposing the existing Ghana Living Standards Survey instrument and validating these new tools with a 'gold standard' (provider data) with the aim of proposing alternative approaches capable of producing reliable data for estimating OOPs in the context of National Health Accounts and for the purpose of monitoring financial protection in health. This paper reports on the challenges and opportunities in using and linking household reported out-of-pocket health expenditures to their corresponding provider records for the purpose of validating household reported out-of-pocket health expenditure in the iHOPE project.

Effect of specificity of health expenditure questions in the measurement of out-of-pocket health expenditure: evidence from field experimental study in Ghana.

BACKGROUND: The effect of number of health items on out-of-pockets (OOPs) has been identified as a source of bias in measuring OOPs. Evidence comes mostly from cross-sectional comparison of different survey instruments to collect data on OOPs. Very few studies have attempted to validate these questionnaires, or distinguish bias arising from the comprehensiveness of the OOPs list versus specificity of OOPs questions. OBJECTIVES: This study aims to estimate biases arising from the specificity of OOPs questions by comparing provider and household's information. METHODS: A generic questionnaire to collect data on household's OOPs was developed following the nomenclature proposed in division 6 of the classification of household final consumption 2018. The four categories within such division are used to set the comprehensiveness of the OOPs list, the specificity within each category was tailored to the design of the nationally representative living standard survey in Ghana where a field experiment was conducted to test the validity of different versions. Households were randomised to 11, 44 or 56 health items. Using data from provider records as the gold standard, we compared the mean positive OOPs, and estimated the mean ratio and variability in the ratio of household expenditures to provider data for the individual households using the Bland-Altman method of assessing agreement. FINDINGS: We found evidence of a difference in the overall mean ratio in the specificity for OOPs in inpatient care and medications. Within each of these two categories, a more detailed disaggregation yielded lower OOPs estimates than less detailed ones. The level of agreement between household and provider OOPs also decreased with increasing specificity of health items. CONCLUSION: Our findings suggest that, for inpatient care and medications, systematically decomposing OOPs categories into finer subclasses tend to produce lower OOPs estimates. Less detailed items produced more accurate and reliable OOPs estimates in the context of a rural setting.