Impact of health information technology optimization on clinical quality performance in health centers: A national cross-sectional study

Clinician Staffing and Quality of Care in US Health Centers

Importance

Health centers are vital primary care safety nets for underserved populations, but optimal clinician staffing associated with quality care is unclear. Understanding the association of clinician staffing patterns with quality of care may inform care delivery, scope-of-practice policy, and resource allocation.

Objective

To describe the association of clinician staffing models and ratios with quality-of-care metrics in health centers.

Design, Setting, and Participants

This cross-sectional study of US health centers used data from the 2022 Health Resources and Services Administration Uniform Data System (UDS).

Exposure

Clinician staffing ratios, expressed as the fraction of full-time equivalents (FTEs) per 1000 visits of physicians, advanced practice registered nurses (APRNs), and physician associates (PAs) to total clinician FTEs at each health center.

Main outcomes and measures

Percentage of eligible patients receiving the corresponding service or outcome for 14 individual clinical quality metrics collected by the UDS, including infant immunizations; screening for cancer, depression, tobacco use, hypertension, HIV, and glycated hemoglobin levels; weight and body mass index (BMI) assessment; and appropriate statin, aspirin, and/or antiplatelet therapy.

Results

This analysis of 791 health centers serving 16 114 842 patients (56.6% female) identified 5 clinician staffing models: balanced (similar FTEs of physicians, APRNs, and PAs; 152 [19.2%] of health centers), higher FTEs of APRNs than physicians (174 [22.0%]), higher FTEs of physicians than APRNs (160 [20.2%]), approximately equal FTEs of physicians and APRNs (263 [33.2%]), and large scale (42 [5.3%]). Adjusted linear models showed positive associations between physician FTEs per 1000 visits and cervical (β, 14.9; 95% CI, 3.1-26.7), breast (β, 15.7; 95% CI, 3.2-28.1), and colorectal (β, 18.3; 95% CI, 6.0-30.6) cancer screening. Generalized additive models showed nonlinear positive associations beginning at a physician FTE ratio of 0.45 (95% CI, 0.02-6.22) for infant vaccinations, 0.39 (95% CI, 0.05-2.21) for cervical cancer screening, 0.39 (95% CI, 0.02-1.67) for breast cancer screening, 0.47 (95% CI, 0.00-5.76) for HIV testing, and 0.70 (95% CI, 0.18-19.96) for depression in remission; APRN FTE ratio of 0.45 (95% CI, 0.17-7.46) for adult BMI assessment; and PA FTE ratio of 0.16 (95% CI, 0.11-3.88) for infant vaccinations. Staffing models were not associated with 7 of the 14 metrics analyzed.

Conclusions and Relevance

In this cross-sectional study of health centers, physician FTE ratio was associated with higher performance in cancer screening, infant vaccinations, and HIV testing; APRN FTE ratio was associated with higher performance in preventative health assessments; and PA FTE ratio was associated with higher performance in infant vaccination. These findings suggest that targeted staffing strategies may be associated with quality of care in certain domains and that tailored approaches to health center staffing based on community-specific needs are warranted.

Optimize and Thrive: An Electronic Health Record Optimization Program Case Study

Although electronic health record optimization programs are common in healthcare organizations, a dearth of published evaluations of these programs exists. Little is known about the ability of optimization programs to handle flooding requests for change and achieve their objectives of cost savings, value, quality of care, and efficiency. This program evaluation reviewed one organization's electronic health record clinical optimization program. The evaluation examines the implementation of the insulin dosing calculator project at five hospitals within a large nonprofit healthcare organization using interviews, project documents, reported insulin dosing errors, and workflow observation to determine if the program provides sufficient structure and processes to successfully implement large optimization projects and achieve the project's desired outcomes. This evaluation finds that the optimization program processes support the implementation of large projects. The program can improve the planning of human resources to increase productivity and reduce waste. A clearer definition of meaningful project outcomes at the onset would allow the program to measure and communicate its accomplishments across the organization.

Perspective: Leveraging Electronic Health Record Data Within Food Is Medicine Program Evaluation: Considerations and Potential Paths Forward

Government, health care systems and payers, philanthropic entities, advocacy groups, nonprofit organizations, community groups, and for-profit companies are presently making the case for Food is Medicine (FIM) nutrition programs to become reimbursable within health care services. FIM researchers are working urgently to build evidence for FIM programs' cost-effectiveness by showing improvements in health outcomes and health care utilization. However, primary collection of this data is costly, difficult to implement, and burdensome to participants. Electronic health records (EHRs) offer a promising alternative to primary data collection because they provide already-collected information from existing clinical care. A few FIM studies have leveraged EHRs to demonstrate positive impacts on biomarkers or health care utilization, but many FIM studies run into insurmountable difficulties in their attempts to use EHRs. The authors of this commentary serve as evaluators and/or technical assistance providers with the United States Department of Agriculture's Gus Schumacher Nutrition Incentive Program National Training, Technical Assistance, Evaluation, and Information Center. They work closely with over 100 Gus Schumacher Nutrition Incentive Program Produce Prescription FIM projects, which, as of 2023, span 34 US states and territories. In this commentary, we describe recurring challenges related to using EHRs in FIM evaluation, particularly in relation to biomarkers and health care utilization. We also outline potential opportunities and reasonable expectations for what can be learned from EHR data and describe other (non-EHR) data sources to consider for evaluation of long-term health outcomes and health care utilization. Large integrated health systems may be best positioned to use their own data to examine outcomes of interest to the broader field.

Is a bio-psychosocial approach model possible at the first level of health services in the Democratic Republic of Congo? An organizational analysis of six health centers in South Kivu

BACKGROUND

The health system, in the Democratic Republic of Congo, is expected to move towards a more people-centered form of healthcare provision by implementing a biopsychosocial (BPS) approach. It's then important to examine how change is possible in providing healthcare at the first line of care. This study aims to analyze the organizational capacity of health centers to implement a BPS approach in the first line of care.

METHODS

A mixed descriptive and analytical study was conducted from November 2017 to February 2018. Six health centers from four Health Zones (South Kivu, Democratic Republic of Congo) were selected for this study. An organizational analysis of six health centers based on 15 organizational capacities using the Context and Capabilities for Integrating Care (CCIC) as a theoretical framework was conducted. Data were collected through observation, document review, and individual interviews with key stakeholders. The annual utilization rate of curative services was analyzed using trends for the six health centers. The organizational analysis presented three categories (Basic Structures, People and values, and Key Processes).

RESULT

This research describes three components in the organization of health services on a biopsychosocial model (Basic Structures, People and values, and Key processes). The current functioning of health centers in South Kivu shows strengths in the Basic Structures component. The health centers have physical characteristics and resources (financial, human) capable of operating health services. Weaknesses were noted in organizational governance through sharing of patient experience, valuing patient needs in Organizational/Network Culture, and Focus on Patient Centeredness & Engagement as well as partnering with other patient care channels.

CONCLUSION

This study highlighted the predisposition of health centers to implement a BPS approach to their organizational capacities. The study highlights how national policies could regulate the organization of health services on the front line by relying more on the culture of teamwork in the care structures and focusing on the needs of the patients. Paying particular attention to the values of the agents and specific key processes could enable the implementation of the BPS approach at the health center level.

Breaking Down Barriers and Paving the Way for Blockchain Adoption in Dentistry

Blockchain technology can potentially transform the dentistry sector by facilitating safe communication between dental practitioners and offering secure and efficient administration of patient information. Nevertheless, using this technology in dentistry confronts various barriers, including regulatory and legal obstacles, a lack of technical skills, and a lack of standardization. To overcome these challenges, dental practitioners, industry stakeholders, and regulators must work together to develop a legislative framework that encourages the use of blockchain technology in dentistry. Moreover, education and training programs must equip dental practitioners with the skills and expertise to properly incorporate and use blockchain technology. The use of blockchain technology in dentistry has the potential to greatly improve patient outcomes while also increasing the efficiency and security of the dental business.

Increasing the value of PSA through improved implementation

Low-value testing and treatment contribute to billions of dollars in waste to the United States health care system annually. High frequency, low-cost testing, including prostate-specific antigen (PSA) testing, is a major contributor to this inefficient health care delivery. Despite decreasing mortality of prostate cancer over the last few decades, the reputation of prostate specific antigen (PSA) for prostate cancer screening has fluctuated over the last decade due to lack of clarity of the benefits of screening and high risk for overtreatment. The value of PSA could be improved by efficient implementation of smarter testing strategies that reduce the harms and increase the benefits.

Perceived technology use, attitudes, and barriers among primary care nurses

BACKGROUND

In primary healthcare, health information technology has the potential to facilitate the delivery of healthcare services by improving quality of care, efficiency and patient safety. However, little is known about the uptake and technology acceptance among primary healthcare nurses.

AIM

The aim of this study was to describe health information technology acceptance and use among primary healthcare nurses.

SETTING

Primary healthcare centres in the Western Cape.

METHODS

A quantitative descriptive survey was conducted with a sample of 160 nurses working in primary healthcare for more than 6 months, using a self-administered questionnaire based on the technology acceptance model constructs. Eighteen primary healthcare centres were randomly selected with a sample of 160 using nonprobability purposive sampling.

RESULTS

Ninety-three (58.1%) respondents completed the survey. Three-quarters of the respondents reported positive attitudes, positive perceptions of usefulness and ease of use towards the use of health information technology. Barriers of access and training were reported by 75%, with around half the respondents reporting poor computer and information accessing skills. Health information technology use was varied, with high ratings for seeking and using and low ratings of ability to use health information technology for patient administration and management. Health information technology use was predicted by perceptions of ease of use.

CONCLUSION

This research presents a mixed picture of acceptance of technology among primary healthcare nurses and highlights the lack of access to computers and Internet in these settings.

CONTRIBUTION

This study contributes to the field of technology acceptance among primary healthcare nurses.

Melhor em casa: caracterização dos serviços de atenção domiciliar

RESUMO Objetivo caracterizar os Serviços de Atenção Domiciliar em funcionamento na Paraíba. Método trata-se de uma pesquisa descritiva, exploratória, de abordagem quantitativa. A coleta de dados foi realizada entre março e junho de 2020 com profissionais e coordenadores do Serviço de Atenção Domiciliar de 17 municípios paraibanos a partir da utilização de formulário no Google Forms enviado por correio eletrônico. Os dados foram analisados estatisticamente por meio de frequências absolutas e relativas. O projeto foi aprovado pelo Comitê de Ética em Pesquisa. Resultados 14 equipes (61%) estavam em atividade de segunda a sexta-feira; 16 (69,6%) utilizavam o transporte assistencial compartilhado com outros serviços; 11 equipes (47,8%) não utilizavam prontuário eletrônico do paciente e, dentre as que utilizavam, o faziam no formato interligado à Rede de Atenção à Saúde ou em comunicação apenas com o Serviço de Atenção Domiciliar (34,8%; 17,4%). Quanto ao Projeto Terapêutico Singular, 13 equipes (56,5%) o elaboravam. O processo de referência e contrarreferência ocorria apenas na admissão e na alta em 19 equipes (82,6%). Conclusões e implicações para a prática evidenciou-se a necessidade de adequações no funcionamento do serviço e de melhorias nos recursos tecnológicos, comunicação e transporte a serem implementadas pela gestão pública para a qualificação da assistência domiciliar.

It is better at home: characterization of home care services

ABSTRACT Objective to characterize the Home Care Services in operation in Paraíba. Method this is a descriptive, exploratory, quantitative research. Data collection was conducted between March and June 2020 with professionals and coordinators of Home Care Services in 17 municipalities of Paraiba using Google Forms sent by email. Data were statistically analyzed using absolute and relative frequencies. The project was approved by the Research Ethics Committee. Results 14 teams (61%) were active from Monday to Friday; 16 (69.6%) used transportation of care shared with other services; 11 teams (47.8%) did not use electronic patient records and, among those who did, they did so in the format interconnected to the Health Care Network or in communication only with the Home Care Service (34.8%; 17.4%). As for the Singular Therapeutic Project, 13 teams (56.5%) prepared it. The reference and counter-reference process occurred only at admission and discharge in 19 teams (82.6%). Conclusions and implications for the practice it was evidenced the need for adjustments in the operation of the service and improvements in technological resources, communication and transportation to be implemented by public management for the qualification of home care.

Evaluating the effects of electronic health records system adoption on the performance of Malaysian health care providers

BACKGROUND

The Ministry of Health of Malaysia has invested significant resources to implement an electronic health record (EHR) system to ensure the full automation of hospitals for coordinated care delivery. Thus, evaluating whether the system has been effectively utilized is necessary, particularly regarding how it predicts the post-implementation primary care providers' performance impact.

METHODS

Convenience sampling was employed for data collection in three government hospitals for 7 months. A standardized effectiveness survey for EHR systems was administered to primary health care providers (specialists, medical officers, and nurses) as they participated in medical education programs. Empirical data were assessed by employing partial least squares-structural equation modeling for hypothesis testing.

RESULTS

The results demonstrated that knowledge quality had the highest score for predicting performance and had a large effect size, whereas system compatibility was the most substantial system quality component. The findings indicated that EHR systems supported the clinical tasks and workflows of care providers, which increased system quality, whereas the increased quality of knowledge improved user performance.

CONCLUSION

Given these findings, knowledge quality and effective use should be incorporated into evaluating EHR system effectiveness in health institutions. Data mining features can be integrated into current systems for efficiently and systematically generating health populations and disease trend analysis, improving clinical knowledge of care providers, and increasing their productivity. The validated survey instrument can be further tested with empirical surveys in other public and private hospitals with different interoperable EHR systems.