. 2023 Sep 22;27(4):100–111. doi: 10.7812/TPP/23.022

Table 1:

Summary of articles included in this systematic review

Author, date	Focus	Technology	Health care practitioners’ demographics						Monitors
Author, date	Focus	Technology	Type		Gender		Age		Monitors
Cardiovascular System
Aamodt et al, 2019¹⁰	Heart failure	Internet-based personal devices	Nor	Lith	Nor	Lith	Nor	Lith	Body weight, blood pressure, heart rate, dyspnea, and other vitals
Aamodt et al, 2019¹⁰	Heart failure	Internet-based personal devices	P = 63 N = 163	P = 137 N = 173	M = 58 F = 167	M = 32 F = 278	P = 48 (SD 11) N = 45 (SD 11)	P = 51 (SD 12) N = 46 (SD 9)
Abdolkhani et al, 2019¹¹	Cardiac arrhythmia	Medical wearables	HCPs = 9 HI = 4 RPMS = 7		NR		NR		Cardiac rhythm
Ding et al, 2020¹²	Atrial fibrillation	FDA-approved consumer digital health devices	P = 1104 APP = 186 Nurse = 122		NR		NR		Electrocardiographic data
Fraiche et al, 2021⁷	Cardiology	Pacemakers, implantable cardioverter-defibrillators	P = 8 N = 3 DT = 2		NR		61 (range 27−84 years)		Cardiac rhythm
Respiratory System
Hollenbach et al, 2017¹³	Asthma	Inhaler sensor, mobile health application, FDA-approved spirometer	P = 17 PA = 7 APRN = 6 RN, BSN, LPN = 7 Unknown = 4		M = 9 F = 32		49 (±13.7) years)		Medication use, lung function
Korpershoek et al, 2018¹⁴	Chronic obstructive pulmonary disease	mHealth through smartphone or tablet	P = 2 N = 3 PT = 1		M = 4 F = 2		20–59 years		Self-management of exacerbations
Maguire et al, 2020¹⁵	Malignant pleural mesothelioma	Advanced Symptom Management System through a smartphone	P = 2 N = 9		NR		NR		Symptoms
Mansell et al, 2020¹⁶	Chronic hypercapnic respiratory failure	NIV with modem technology	HCPs = 12		M = 7 F = 5		25−34 (n = 4) or 35−44 (n = 6)		Tidal volume, leak, respiratory rate, minute ventilation, patient-triggered breaths, achieved pressure, patient compliance
Prenatal Care
Lanssens et al, 2019¹⁷	Pregnancy	Blood pressure monitor, activity tracker, weight scale	P = 13 MW = 52		NR		NR		Blood pressure, activity, weight
Runkle et al, 2019¹⁸	Pregnancy	Smartphone applications, wearables	P = 28		M = 21 F = 7		21–30 (n = 10) 31–40 (n = 11) 41–50 (n = 7)		Blood glucose, blood pressure, chronic conditions
Other Medical Fields
Abdolkhani et al, 2019¹¹	Diabetes, sleep disorders	Consumer (diabetes) and medical (sleep disorder) wearables	HCPs = 9 HI = 4 RPMS = 7		NR		NR		Blood glucose, insulin pumps, sleep disorder data
Craven et al, 2020¹⁹	Epilepsy, multiple sclerosis, depression	Wearables and mobile phone applications	HSR = 3 HTR = 2 C = 16 PAB = 7		NR		NR		Activity, location, user-supplied data from questionnaires
Jeffs et al, 2018²⁰	Chronic kidney disease	eQConnect software	P = 1 N = 2 PC = 3 CC = 1 PD = 1		M = 3 F = 5		NR		Peritoneal dialysis treatment progress, health status, supply usage
Sharif et al, 2020²¹	Orthopedics	RPM as part of Virtual Health Technology	HCPs = 16		NR		NR		Blood pressure, blood glucose, weight, physical fitness, heart rate, heart rhythm, respiratory rate

APP, advance practice practitioner; APRN, advance practice registered nurse; BSN, bachelor of science in nursing; C, clinician; CC, clinical coordinator; DT, Device Technicians; F, female; FDA, US Food and Drug Administration; HCPs, health care practitioners; HI, health information; HSR, health service researcher; HTR, health technology researcher; Lith, Lithuania; LPN, licensed practical nurse; M, male; MW, midwife; N, nurse; NIV, noninvasive ventilation; Nor, Norway; NR, not reported; P, physician; PA, physician assistant; PAB, patient advisory board; PC, project coordinator; PD, product development; PT, physiotherapist; RN, registered nurse; RPM, remote patient monitoring; RPMS, patient remote monitoring solution; SD, standard deviation.