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Mobile phone applications may enhance the delivery of critical health services and the accuracy of health service data. Yet, the opinions and experiences of frontline health workers on using mobile apps to track pregnant and recently delivered women are underreported. This evaluation qualitatively assessed the feasibility, usability, and acceptability of a mobile Client Data App for maternal, neonatal, and child client data management by community health nurses (CHNs) in rural Ghana. The mobile app enabled CHNs to enter, summarize, and query client data. It also sent visit reminders for clients and provided a mechanism to report level of care to district officers. Fourteen interviews and two focus groups with CHNs, midwives, and district health officers were conducted, coded, and thematically analyzed. Results indicated that the app was easily integrated into care, improved CHN productivity, and was acceptable due to its capacity to facilitate client follow-up, data reporting, and decision-making. However, the feasibility and usability of the app were hindered by high client volumes, staff shortages, and software and device challenges. Successful integration of mobile client data apps for frontline health workers in rural and resource-poor settings requires real-time monitoring, program investments, and targeted changes in human resources.
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http://dx.doi.org/10.1155/2016/2515420 | DOI Listing |
J Dermatolog Treat
December 2025
Department of Dermatology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
Background: Bullous pemphigoid (BP) is a common autoimmune subepidermal bullous disease. Dupilumab, an IL-4/IL-13 inhibitor, represents a novel therapeutic approach for BP, but real-world long-term data in super-elderly patients are limited.
Methods: This retrospective, single-center observational study included super-elderly BP patients (≥80 years) receiving dupilumab monotherapy from September 2022 to September 2024.
JPEN J Parenter Enteral Nutr
September 2025
Department of Gastroenterology, Austin Health, Heidelberg, Victoria, Australia.
Background: Hospitalized patients may require nutrition support because of inadequate intake or impaired gut function. Enteral nutrition is preferred over parenteral nutrition because of fewer complications and earlier return of gut function. This study describes peripheral parenteral nutrition (PPN) use in an Australian tertiary center, evaluating its indications, incidence of adverse effects, and outcomes without the support of a nutrition support service.
View Article and Find Full Text PDFBackground: This retrospective analysis is a derivative cohort study based on a prior retrospective investigation by this author group.
Objective: To assess the effect of the number of cellular and/or tissue-based product (CTP) applications on healing outcomes and wound area reduction (WAR) rates in patients with chronic wounds of multiple etiologies.
Methods: Data from a multicenter private wound care practice electronic health record database were analyzed for Medicare patients receiving CTPs from January 2018 through December 2023.
Wounds
August 2025
Department of Nursing, Federal University of Ceará, Ceará, Brazil.
Background: Diabetic foot ulcers (DFUs) are a major clinical challenge, particularly among patients with refractory ulcers, that often lead to severe complications such as infection, amputation, and high mortality. Innovations supported by strong clinical evidence have the potential to improve healing outcomes, enhance quality of life, and reduce the economic burden on individuals and health care systems.
Objective: To describe the design of the concurrent optical and magnetic stimulation (COMS) therapy Investigational Device Exemption (IDE) study for refractory DFUs (MAVERICKS) trial.
Knee Surg Relat Res
September 2025
Florida Orthopaedic Institute, Gainesville, FL, 32607, USA.
Background: A clear understanding of minimal clinically important difference (MCID) and substantial clinical benefit (SCB) is essential for effectively implementing patient-reported outcome measurements (PROMs) as a performance measure for total knee arthroplasty (TKA). Since not achieving MCID and SCB may reflect suboptimal surgical benefit, the primary aim of this study was to use machine learning to predict patients who may not achieve the threshold-based outcomes (i.e.
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