The role of interdisciplinary research team in the impact of health apps in health and computer science publications: a systematic review

(1)

The role of interdisciplinary research

team in the impact of health apps in health

and computer science publications: a systematic

review

Guillermo Molina Recio

1†

_{, Laura García‑Hernández}

2*†

_{, Rafael Molina Luque}

1†

_{and Lorenzo Salas‑Morera}

2†

From

3rd International Work‑Conference on Bioinformatics and Biomedical Engineering‑IWBBIO 2015

Grenada, Spain. 15–17 April 2015

Abstract

Background:

Several studies have estimated the potential economic and social

impact of the mHealth development. Considering the latest study by Institute for

Healthcare Informatics, more than 165.000 apps of health and medicine are offered

including all the stores from different platforms. Thus, the global mHealth market

was an estimated $10.5 billion in 2014 and is expected to grow 33.5 percent annually

between 2015 and 2020s. In fact, apps of Health have become the third‑fastest grow‑

ing category, only after games and utilities.

Methods:

This study aims to identify, study and evaluate the role of interdisciplinary

research teams in the development of articles and applications in the field of mHealth.

It also aims to evaluate the impact that the development of mHealth has had on the

health and computer science field, through the study of publications in specific data‑

bases for each area which have been published until nowadays.

Results:

Interdisciplinary nature is strongly connected to the scientific quality of the

journal in which the work is published. This way, there are significant differences in

those works that are made up by an interdisciplinary research team because of they

achieve to publish in journals with higher quartiles. There are already studies that warn

of methodological deficits in some studies in mHealth, low accuracy and no reproduc‑

ibility. Studies of low precision and poor reproducibility, coupled with the low evidence,

provide low degrees of recommendation of the interventions targeted and therefore

low applicability.

Conclusions:

From the evidence of this study, working in interdisciplinary groups

from different areas greatly enhances the quality of research work as well as the quality

of the publications derived from its results.

Open Access

© 2016 The Author(s). This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdo‑ main/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

RESEARCH

*Correspondence: [email protected]

†_{Guillermo Molina Recio,}

Laura García‑Hernández, Rafael Molina Luque and Lorenzo Salas‑Morera contributed equally to this work

2_{Area of Project Engineering,}

University of Córdoba, Córdoba, Spain

Full list of author information is available at the end of the article

Background

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of medicine and public health supported by mobile devices. According to WHO [

1 ],

nearly 90 % of the world population could benefit from the opportunities offered by

mobile technologies and with a relatively low cost. Considering the latest study by

Institute for Healthcare Informatics (IMS) [

2 ], more than 165.000 apps of health and

medicine are offered including all the stores from different platforms. Thus, the global

mHealth market was an estimated $10.5 billion in 2014 and is expected to grow 33.5

percent annually between 2015 and 2020s [

3 ].

Also, the IMS Institute indicates that 70 % of health apps is focused on general

popula-tion, offering tools to reach and maintain wellness and to improve physical activity. The

remaining 30 %, were designed to more concrete areas such as professionals or people

affected by specific diseases.

Despite this situation, it is important to note that more than 50 % of the available apps

received less than 500 downloads and only five of them comprise 15 % of all those in

the health category. The IMS attributed this situation to different causes, which include:

poor quality in many of them, the lack of guidance on the usefulness of the app and a low

level of support from health professionals.

However, it is well-known that health apps, solving the problems detailed above, could

represent a very useful tool for monitoring chronic diseases will account for 65 % of the

global market for mHealth in 2017 [

3 ].

This fact will represent revenue of 15.000 million dollars. The pathologies with a higher

potential to increase business are in order: diabetes and cardiovascular disease. They will

also play an important role related to diagnostic services (they will reach 15 % and will

gen-erate 3.400 million of dollars) and medical treatments (10 % of the market and revenues

of 2.300 million). By the other hand, it is estimated that business will increase from 4.500

million in 2013, to 23.000 million in 2017. Continents with largest market share are, in

descending order, Europe and Asia (30 %), United States of America and Canada (28 %) [

3 ].

However, we do not know if the apps available to the population are based on

scien-tific knowledge and therefore, it is difficult to assess the real impact of this spectacular

development on the health of populations. On the other hand, we do not know how the

great spread of the phenomenon of Health 2.0 (that is a

term presented in the mid

-

2000s,

as the subset of health technologies mirroring the wider Web 2.0 movement, offering

pos-sibilities for changing health care which started with the introduction of eHealth following

the emergence of the World Wide Web

[

4 ,

5 ] ) that is reaching the scientific field (medical

or computer), which should occur in parallel in order to offer products that positively

affect the health of citizens.

Therefore, this study aims to identify, study and evaluate the role of interdisciplinary

research teams in the development of articles and applications in the field of mHealth

and the impact that the development of mHealth has had on the health and computer

sci-ence field, through the study of publications and the composition of the research teams in

specific databases for each area, which have been published until nowadays. According to

Yadros et al. [

6 ] interdisciplinary research seems to be a supplier of creative and

(3)

Methods

This work is extended and based on the previous work [

7 ]. A systematic review was

conducted in two stages during November 2014. The first one was focused on locating

papers available in databases from Health Sciences. After this step, we repeat the search

but in the Computer Science field because we wanted to find the different penetration in

each area. As recommended in the PRISMA Statement [

8 ] for systematic reviews. The

PRISMA Statement consists of a 27-item checklist and a four-phase flow diagram. The

aim of the PRISMA Statement is to help authors improve the reporting of systematic

reviews and meta-analyses. We describe the search strategy and the number of papers

located, discarded and finally selected for review using a for-phase flow diagram. In the

first stage, we have consulted the PubMed database. We used “mHealth” and “mHealth

AND app” terms as search strategies. Finally 79 items were selected for reviewing (see

Fig.

1 ). We also consulted “Science Direct” and “Scopus” using “mHealth” but reducing

the search to “Computer Science” area. Having initially located 375 publications, only

27 were chosen for our study (see Fig.

2 ). Thus, a total of 106 items were reviewed. The

impact factor of the journals that published the papers selected was consulted using the

journal citation report from web of science (WoS). Since this impact factor usually varies

for each year, we took the corresponding to the year when the article was published.

As noted previously, the execution of this work has been carried out by means of the

recommendations given by the PRISMA [

8 ] statement. So, this work includes a study

through the following information:

• The summaries and results of all reviewed papers after performing his complete

reading.

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• The departments that participate in the development of the works and their

categori-zation for subsequent statistical analysis.

This last categorization has been performed including the departments in ten large

groups, which are: ‘Research Center’, ‘Nursing and other health professionals’,

‘Engineer-ing and Technology’, ‘Finance and Statistics’, ‘General Medicine and Specialties’,

‘Agen-cies and Institutions’, ‘Health’, ‘Health Care and Community’, ‘Physiotherapy Associates’,

‘Pharmacy and Associates’.

In order to analyze and evaluate the impact of health apps in health and computer

sci-ence publications in a precise way, additional features which are not used to be

consid-ered into systematic reviews, have been included in this study. All the information taken

into account has been clustered into two main categories:

1. Publication characteristics:

• Journal name.

• Type of journal (According to 22 categories taken from ISI Web of Knowledge).

• Journal ranking (quartile).

• Journal impact factor.

• Article publication date.

• Type of study.

• Number of received citations.

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2. Interdisciplinary nature:

• Departments working on the contribution.

The evaluation of the last item (interdisciplinary nature) has been performed using the

Rao–Stirling index as explained by Rafolds and Meyer [

9 ], among others.

Interdiscipli-nary research has been defined as a mode of research that integrates techniques, tools,

and/or theories from two or more disciplines to advance fundamental understanding or

to solve problems whose solutions are beyond the scope of a single discipline or area of

research practice [

10 ]. The advantage of the Rao–Stirling measure is that it takes into

account the distribution of references across disciplinary categories on journals in the

WoS for 220 WoS categories or subject categories (SC) and also considers how

cogni-tively distant these categories are.

For statistical analysis of the data we have used own descriptive statistics (frequency

tables, measures of central tendency and dispersion, Pearson correlation coefficient as

well as graphic representation) and analytical techniques, using as evidence contrast

hypothesis Chi square, t Student, ANOVA and Kruskal–Wallis as non-parametric

ver-sion. Processing and analysis of data was performed using the SPSS version 22.0.0 [

11 ].

Results and discussion

A brief summary of the main features, topics and contents in the reviewed papers is

shown in Tables

1 and

2 . We found papers focused on mHealth in 51 different journals,

being most of them (68.6 %) indexed in the ISI web of Knowledge. The higher

propor-tion of papers published in journal indexed in JCR, is located in four WoS categories:

medical informatics (17.9 %), Healthcare Sciences & Services (12.8 %), computer science

interdisciplinary applications (11.1 %) and mathematical and computational biology

(8.5 %), showing a great concern about developing mHealth research in two fields of ISI

that we think that must be strongly linked to this topic: clinical medicine and computer

science. Taking into account not indexed journals, we found same development patterns,

because most of the researches belong to different departments and institutions,

includ-ing professionals from health and computer science. This fact could be explained by

the concentration of articles in just three journals, journal of medical internet research

mHealth and uHealth, (JMU) containing 21.7 % of the published papers, journal of

med-ical internet research (JMIR), covering 7.5 % and international journal of medmed-ical

infor-matics, reaching 4.7 % papers. Thus, for example, journal of medical internet research is

classified by journal citation report (JCR) into several categories (“Health Care Sciences

& Services” and “Medical Informatics”) and the international journal of medical

infor-matics is listed by JCR into three categories, the two previously mentioned, as well as

in “Computer Science, Information Systems” that clearly belongs to a non-health area.

Another important result is the great impact factor of these publications. This way, in

any category where they could be classified of these two journals belong to the first

quar-tile, excepting JMU which is not indexed because it was created in 2013 like an spin-off

from JMIR. This may also explain that the average impact factor of the found

publica-tions was 1.54 (

±

1898) including all the papers, and 3.0248 (

±

1.6014) if we select just

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Table 1 M ain f ea tur es of r evie w ed pap ers A uthors/y ear Type of study Journal Type of journal Q uar tile Impac t fac tor

Number cita

tions Depar tmen ts in volv ed Br own et al . [ 42 ] Qualitativ e r esear ch Jour

nal of biomedical

inf or matics Comput er science Q1 2.482 7

1. HIV C

ent

er f

or Clinical and Beha

vioral Studies

2. D

epar

tment of Biomedical I

nf

or

matics

3. D

epar

nf

or

matics

4. S

chool of Nursing

Balsam et al . [ 43 ] Technolog ical impr ov ement

Sensors and ac

tuat ors B: chemical Chemistr y Q1 3.840 2

1. Division of Biology

, O

ffice of S

cience and Eng

ineer

ing

2. Univ

ersit

y of M

ar

yland

3. Division of C

ancer Biology

, National C

ancer I nstitut e Akt er et al . [ 44 ] Qualitativ e r esear ch Inf or

mation and man

‑ agement Social science , general Q1 1.788 8 1. S

chool of M

anagement and M

ar

keting

2. A

ustralian S

chool of Business

Van der Heijden et

al . [ 31 ] Technolog ical de vel ‑ opment Jour

nal of biomedical

inf or matics Comput er science Q1 2.482 11 1. I nstitut e f or C

omputing and I

nf or mation S ciences 2. D epar

tment of P

rimar

y and C

ommunit y C ar e 3. D epar

tment of P

ulmonar y Diseases Iwa ya et al . [ 25 ] Re vie w Int er national J our nal of M edical I nf or matics Clinical medicine Q1 2.716 12 1.D epar

tment of C

omput

er and Dig

ital Syst ems Eng ineer ing 2. Hear t I nstitut e (I nC or) 3. Er icsson R esear ch Lee et al . [ 26 ] D escr iptiv e Int er national J our nal of M edical I nf or matics Clinical medicine Q1 2.716 6 1. D epar

tment of R

heumat

ology and I

mmunology

2. D

epar

tment of Clinical R

esear ch 3. I nt eg rat

ed Health I

nf or mation Syst ems 4. Duk e‑ NUS Graduat e M edical S chool 5. Yong L

oo Lin S

chool of M

edicine Labr ique et al . [ 27 ] Exper t opinion Int er national J our nal of M edical I nf or matics Clinical medicine Q1 2.716 15 1. J ohns Hopk ins Bloomber g S

chool of P

ublic Health

2.J

ohns Hopk

ins S

chool of M

edicine

3.

W

or

ld Health Or

ganization Alnanih et al . [ 27 ] Technolog ical impr ov ement Pr ocedia C omput er Science Not index ed

Not index

ed

–

1

1. D

epar

tment of C

omput

er S

cience & S

of twar e Eng ineer ing 2. D epar

tment of C

omput er S cience M enez e et al . [ 29 ] Technolog ical de vel ‑ opment Pr ocedia T echnology Not index ed

Not index

ed – 2 1. S@BER: Tecnolog ias E

ducaionais e S

ociais R esear ch Gr oup 2. P rog

rama de P

ós

‑Graduaçao em Engenhar

ia Biomédica Liu et al . [ 12 ] D escr iptiv e Jour

nal of Syst

ems and Sof twar e Comput er science Q2 1.245 35 1. S

chool of EECS

2. P

sy

chology D

epar

(7)

Table 1 c on tinued A uthors/y ear Type of study Journal Type of journal Q uar tile Impac t fac tor

Number cita

tions Depar tmen ts in volv ed Datta et al . [ 45 ] Technolog ical de vel ‑ opment Pr ocedia C omput er Science Not index ed

Not index

ed

–

4

1. NU C

ommunit y R esear ch I nstitut e 2. S

chool of Eng

ineer ing & Technology 3.I llinois D epar

tment of Human S

er vices Sur ka et al . [ 46 ] Clinical T rial Int er national J our nal of M edical I nf or matics Clinical medicine Q1 2.716 4 1. Chr

onic Disease I

nitiativ e f or A frica 2. C ent er f

or Online Health

3. Division of C

ar

dio

vascular M

edicine

4. S

chool of P

ublic Health

5. Chr

onic Disease I

nitiativ

e f

or A

frica, Division of Diabet

es

and Endocr

inology

, D

epar

tment of M

edicine

Cor

nelius and K

otz [ 47 ] Technolog ical impr ov ement Per vasiv

e and M

obile Computing Comput er science Q2 1.667 3 1. D epar

tment of C

omput er S cience 2. I nstitut e f or S ecur ity , T echnology

, and S

ociet y Hao et al . [ 35 ] Qualitativ e r esear ch Comput er M ethods and Pr og

rams in Biomedi

‑ cine Comput er science Q2 1.093 0 1. D epar

tment of C

ar

dio

vascular M

edicine

2. S

chool of Health C

ar e A dministration 3. Graduat e I nstitut

e of Biomedical I

nf

or

matics

4. I

nstitut

e of Biomedical I

nf

or

matics

5. O

ffice of R

esear

ch and D

ev

elopment

6. D

epar

tment of D

er mat ology Balsam et al . [ 32 ] Technolog ical impr ov ement

Biosensors and Bioelec

‑ tr onics Chemistr y Q1 6.451 2

1. Division of Biology

, O

ffice of S

cience and Eng

ineer ing , FD A 2. Univ ersit

y of M

ar yland 3. W est er n R eg ional R esear ch C ent er

4. Division of C

ancer Biology

, National C

ancer I

nstitut

e

Sezg

in and Ozk

an Yildir im [ 30 ] Re vie w Pr ocedia T echnology Not index ed

Not index

ed – 0 1. M iddle East Technical Univ ersit y, I nf or matics I nstitut e Tur ner ‑M cGr ie vya and Tat eb [ 48 ] Clinical T rial Int er national J our nal of M edical I nf or matics Clinical medicine Q1 2.716 1 1. D epar

tment of Health P

romotion, E

ducation, and Beha

vior

2. D

epar

tments of Nutr

ition and Health Beha

vior W ang et al . [ 15 ] D escr iptiv e Jour nal O f M edical I nt er ‑ net R esear ch mHealth and uHealth Not index ed

Not index

ed – 2 1. G er ont echnology Lab 2. En vir

onment and Health Gr

oup

3. D

epar

tment of P

sy

chiatr

y

4. Global I

nitiativ

e on C

ar

e g

iving f

or the Elder

ly

5. C

ollege of S

ocial W or k 6. D epar

tment of Global Health and S

ocial M

(8)

Number cita

tions Depar tmen ts in volv ed Ploder er et al . [ 16 ] Qualitativ e r esear ch Jour nal O f M edical Int er net R esear ch

mHealth and uHealth

Not index

ed

Not index

ed

–

1

1. D

epar

tment of C

omputing and I

nf or mation Syst ems 2. The C ancer C ouncil Vic tor ia Kuo et al . [ 36 ] D escr iptiv e Jour

nal of the Amer

ican M edical I nf or matics A ssociation Social science , general Q1 3.932 0 1. C atha y G eneral Hospital 2. I nstitut

e of Biomedical I

nf

or

matics C

ollege of Nursing

Kizak evich et al . [ 49 ] Technolog ical de vel ‑ opment

Studies in Health Technology and I

nf

or

‑

matics (IOS P

ress)

Not index

ed

Not index

ed – 2 1. R TI I nt er national , R esear ch Tr iangle P ar k

2. National C

ent er f or PT SD , V et

erans Health A

ffairs Jibb et al . [ 40 ] Technolog ical de vel ‑ opment Jour nal O f M edical Int er net R esear ch Resear ch P rot ocols Not index ed

Not index

ed

–

4

1. Hospital f

or Sick Childr

en

2. La

wr

ence S Bloomber

g F

acult

y of Nursing

3. I

nstitut

e of Health P

olic

y

4. C

ent

er f

or Global eHealth I

nno vation Sun yae v et al . [ 50 ] D escr iptiv e Jour

nal of the Amer

ican M edical I nf or matics A ssociation Social science , general Q1 3.932 2 1. F acult

y of M

anagement E

conomics and S

ocial S

ciences

D

epar

tment of P

ediatr ics , Bost on Childr en´s Hospital , Har var d M edical S chool , T he P etr ie ‑F lom C ent er f

or Health La

w

Polic

y, Biot

echnology

, and Bioethics

, Har var d La w S chool 2. Childr

en´s Hospital I

nf

or

matics P

rog

ram at Har

var

d‑

MIT Health S

ciences and Technology , Bost on Childr en Hospital ,Har var d M edical S chool Ly ons et al . [ 24 ] D escr iptiv e Jour nal O f M edical Int er net R esear ch Clinical medicine Q1 4,669 3 1. I nstitut e f or Translational S ciences 2. C ent er f or I nt er disciplinar y R esear ch in W omen´s Health 3. D epar

tment of R

ehabilitation S

ciences

4. C

ollege of M

edicine

5. D

epar

tment of P

hysical Therap y Gr indr od et al . [ 17 ] Technolog ical impr ov ement Jour nal O f M edical Int er net R esear ch

mHealth and uHealth

Not index

ed

Not index

ed

–

0

1. S

chool of P

har

mac

y

2. S

chool of P

ublic Health and Health Syst

ems

3. D

epar

tment of F

amily M edicine 4. C ommunit ech 5. S

chool of Opt

ometr

(9)

Number cita

tions Depar tmen ts in volv ed Hunder t et al . [ 14 ] D escr iptiv e Jour nal O f M edical I nt er ‑ net R esear ch mHealth and uHealth Not index ed

Not index

ed

–

5

1. IWK Health C

ent

er

2. D

epar

tment of C

ommunit

y Health and Epidemiology

3. D

epar

tments of P

ediatr

ics and P

sy

chiatr

y

4. Hospital f

or Sick Childr

en

5. La

wr

ence S. Bloomber

g F

acult

y of Nursing

M ar tínez ‑P ér ez et al . [ 51 ] Re vie w Jour nal O f M edical Int er net R esear ch

mHealth and uHealth

Not index

ed

Not index

ed

–

6

1. D

epar

tment of Sig

nal

Theor

y and C

ommunications and Telematics Eng ineer ing Tur ner ‑M cGr ie vy et al . [ 37 ] Quasi ‑Exper imental Jour

nal of the Amer

ican M edical I nf or matics A ssociation Social science , general Q1 3.932 24 1. D epar

tment of Health P

romotion, E

ducation, and Beha

vior

2. D

epar

tment of Ex

er

cise S

cience

3. D

epar

tment of Epidemiology and Biostatistics

4. D

epar

tment of Nutr

ition and D

epar

tment of Health

Beha vior Car ter et al . [ 52 ] D escr iptiv e Annals of V ascular Sur ger y Clinical medicine Q3 1.029 8 1. D epar

tment of Clinical Sur

ger

y

2. D

epar

tment of Clinical and Sur

gical S ciences (Sur ger y) Cafazz o et al . [ 13 ] Quasi ‑exper imental Jour nal O f M edical Int er net R esear ch Clinical medicine Q1 4.669 48 1. C ent er f

or Global eHealth I

nno

vation

2. I

nstitut

e of Health P

olic

y

3. I

nstitut

e of Biomat

er

ials and Biomedical Eng

ineer

ing

4. Division of A

dolescent M

edicine

5. D

epar

tment of P

ediatr

ics

6. Division of Endocr

inology Abel et al . [ 53 ] Technolog ical de vel ‑ opment Jour nal O f M edical I nt er ‑ net R esear ch mHealth and uHealth Not index ed

Not index

ed – 1 1. K ing´s C ollege L ondon, I nstitut

e of P

sy

chiatr

y D

epar

tment

of Clinical Neur

oscience

,

2. D

epar

tment of P

har

macology and Clinical Neur

oscience 3. K ing´s C ollege L ondon, D epar

tment of Neur

oscience M ann et al . [ 23 ] Quasi ‑Exper imental

Studies in Health

Tech

‑

nology and I

nf or matics (IOS pr ess) Not index ed

Not index

ed

–

1

1. D

epar

tment of M

edicine

2. D

epar

tment of C

omput

er S

cience

3. D

epar

tment of P

ediatr

(10)

Number cita

tions Depar tmen ts in volv ed Chen et al . [ 54 ] Pr ot ocol de velop ‑ ment BMC P ublic Health Social science , general Q2 2.321 1 1. D epar

tment of I

nt

eg

rat

ed Ear

ly Childhood D

ev

elopment

1. Global eHealth Unit, D

epar

tment of P

rimar y C ar e and Public Health 3. Sa

ve the Childr

en China

4. Sa

ve the Childr

en China P

rog

ram

5. Sa

ve the Childr

en King et al . [ 38 ] D escr iptiv e

Global Health A

ction Social science , general Q2 1.646 0 1. I nstitut e f

or Global Health

2. M aiM awna P rojec t 3. D epar

tment of C

omput

er S

cience

4. Ba

ylor C

ollege of M

edicine Childr en´s F oundation van Dr ongelen et al . [ 33 ] Clinical T rial Scandina vian J our nal of W or k, En vir onment & Health Social science , general Q1 3.095 3 1. D epar

tment of P

ublic and O

ccupational Health, EMGO

Institut

e f

or Health and C

ar

e R

esear

ch

2. KLM Health S

er vices 3. Body@W or k TNO VUmc , R esear ch C ent

er on P

hysical A

ctiv

‑

ity D

epar

tment of Clinical Epidemiology and Biostatistics

Bier br ier et al . [ 55 ] D escr iptiv e Jour nal O f M edical Int er net R esear ch Clinical medicine Q1 4.669 10 1. Univ ersit

y Health Net

w or k, C ent er f or I nno vation in Complex C ar e 2. Univ ersit

y Health Net

w

or

k, D

epar

tment of G

eneral I nt er nal M edicine O ’M alle y et al . [ 18 ] D escr iptiv e Jour nal O f M edical Int er net R esear ch

mHealth and uHealth

Not index

ed

Not index

ed

–

2

1. D

epar

tment of P

hysiotherap

y

2. D

epar

tment of Epidemiology and P

ublic Health

3. Child Health I

nf or mation C ent er 4. S

chool of Health S

ciences

5. D

epar

tment of Applied P

sy chology Br ook e and T hompson [ 56 ] Exper t opinion Jour

nal of diabet

es sci

‑

ence and t

echnology

Not index

ed

Not index

ed – 2 1. V asoptic M edical 2. Epst ein Beck er Gr een Dunf or d et al . [ 19 ] Technolog ical de vel ‑ opment Jour nal O f M edical I nt er ‑ net R esear ch mHealth and uHealth Not index ed

Not index

ed – 3 1. The G eor ge I nstitut e f

or Global Health

2. Univ

ersit

y of Sy

dne y 3. X yr is S of twar e

4. Bupa A

ustralia

5. K

ey t

o nutr

(11)

Number cita

tions Depar tmen ts in volv ed M ast ers [ 57 ] D escr iptiv e M edical T eacher Clinical medicine Q1 2.045 1 1. M edical E

ducation and I

nf or matics Unit Pulman et al . [ 20 ] Qualitativ e r esear ch Jour nal O f M edical I nt er ‑ net R esear ch mHealth and uHealth Not index ed

Not index

ed

–

1

1.

The S

chool of Health & S

ocial C ar e 2. Bour nemouth Univ ersit y 3. F acult

y of Health and S

ocial C ar e 4. Diabet es C ent er Par mant o et al . [ 58 ] D escr iptiv e Jour nal O f M edical I nt er ‑ net R esear ch mHealth and uHealth Not index ed

Not index

ed

–

2

1. D

epar

tment of Health I

nf or mation M anagement 2. D epar

tment of R

ehabilitation S

cience &

Technology

3. D

epar

tment of P

sy

chical M

edicine & R

ehabilitation Vr iend et al . [ 59 ] D escr iptiv e Br itish J our nal O f Spor ts M edicine Clinical medicine Q1 4.171 0 1. V eiligheidNL 2. D epar

tment of P

ublic and O

ccupational Health EMGO

Institut

e f

or Health and C

ar e R esear ch Pér ez ‑Cruzado and Cuesta ‑V ar gas [ 60 ] Pr ot ocol de velop ‑ ment BMC P ublic Health Social science , general Q2 2.321 0 1. D epar

tment of P

hysiotherap

y

2. S

chool of Clinical S

cience Ribu et al . [ 41 ] Pr ot ocol de velop ‑ ment Jour nal O f M edical I nt er ‑ net R esear ch R esear ch Pr ot ocols Not index ed

Not index

ed

–

2

1. D

epar

tment of Nursing

2. D

epar

tment of Health S

ciences 3. Nor w eg ian C ent er f or I nt eg rat ed C ar e and Telemedicine 4. I nstitut

e of Clinical M

edicine Fior delli et al . [ 61 ] Re vie w Jour nal O f M edical Int er net R esear ch Clinical medicine Q1 4.669 37 1. I nstitut

e of C

ommunication and Health, F

acult

y of C

om ‑ munication S ciences Beck er et al . [ 21 ] Exper t opinion Jour nal O f M edical Int er net R esear ch

mHealth and uHealth

Not index

ed

Not index

ed

–

8

1. I

nstitut

e of Drug Saf

et

y, D

epar

tment of Nephr

ology 2. M ar keting D epar tment 3. Lif epat ch GmbH 4. Black Tusk A G

5. Division of Nephr

ology

, Univ

ersit

y of M

ar

yland S

chool of

M

edicine

6. PL R

eicher tz I nstitut e f or M edical I nf or matics Le wis and Wyatt [ 62 ] Exper t opinion Jour nal O f M edical Int er net R esear ch Clinical medicine Q1 4.669 8 1. W ar wick M edical S chool 2. L eeds I nstitut

e of Health S

ciences

, F

acult

y of M

edicine

,

Health & P

sy

(12)

Number cita

tions Depar tmen ts in volv ed de la

Vega and M

iró [ 63 ] Re vie w PL oS One M ultidisciplinar y Q1 3.534 3

1. Unit f

or the study and

Tr

eatment of P

ain – AL

GOS, R esear ch Cent er f or Beha vior A ssessment, D epar

tment of P

sy chology and I nstitut e d´I nv estigació Sanitàr ia P er e Vir gili Shishido et al . [ 64 ] D escr iptiv e

Studies in Health

Tech

‑

nology and I

nf

or

matics

Not index

ed

Not index

ed

–

0

1. D

epar

tment of C

omput e Eng ineer ing 2. C olleg iat e Nursing Technician C ourse

Slaper and C

onk ol [ 65 ] Exper t Opinion Pediatr ic Annals Clinical medicine Q4 0.306 0 1. Telemedicine P rog ram C oor dinat or , Nation wide Childr en´s Hospital 2. C ar e C oor dination P rog ram M anager , C omplex C ar e and

Telehealth Nurse Clinician, Nation

wide Childr en´s Hospital M ar tínez ‑P ér ez et al . [ 66 ] Re vie w Jour nal O f M edical Int er net R esear ch

mHealth and uHealth

Not index

ed

Not index

ed

–

9

1. D

epar

tment of Sig

nal

Theor

y and C

ommunications

2. I

nstitut

e of Biomedical Eng

ineer

ing and Health

Technology M ar tínez ‑P ér ez et al . [ 67 ] Re vie w Jour

nal of M

edical Syst ems Clinical medicine Q3 1.372 20 1. D epar

tment of Sig

nal

Theor

y and C

ommunications and

Telematics Eng

ineer

ing

2. Biomedical I

nf or matics Gr oup , I nstitut

o de Aplicaciones de

las

Tecnolog

ías de la I

nf

or

mación y de las C

omunicaciones A vanzadas (IT A CA) M ar tínez ‑P ér ez et al . [ 68 ] Re vie w Jour nal O f M edical Int er net R esear ch Clinical medicine Q1 4.669 29 1. D epar

tment of Sig

nal

Theor

y and C

ommunications and

Telematics Eng

ineer

ing

Yang and Silv

er man [ 69 ] Exper t opinion Health A ffairs (M illw ood) Social science , general Q1 4.321 13 1. D epar

tment of Health P

olic

y and M

anagement

2. Health and P

olic

y M

anagement & P

ublic Health and La

w Boulos et al . [ 70 ] Exper t opinion Online J our

nal of P

ublic Health I nf or matics Not index ed

Not index

ed

–

9

1. F

acult

y of Health & Human S

ciences 2. D er mat ology R esidenc y P rog ram 3. C olumbia R esidenc y C

ollege of P

hysicians and Sur

geons

Klein Buendel I

(13)

Number cita

tions Depar tmen ts in volv ed Ahtinen et al . [ 71 ] Quasi ‑exper imental Jour nal O f M edical Int er net R esear ch

mHealth and uHealth

Not index

ed

Not index

ed – 2 1. VT T Technical R esear ch C ent

er of F

inland

2. D

epar

tment of P

sy chology Esk enazi et al . [ 34 ] Technolog ical de vel ‑ opment En vir onment I nt er na ‑ tional En vir onment, ecology Q1 5.664 1 1. C ent er f or En vir onmental R esear

ch and Childr

en´s Health

(CER

CH), S

chool of P

ublic Health 2. M alar ia C ontr ol P rog ramme

, Limpopo D

epar tment of Health 3. M alar ia C ontr ol P rog ramme

, National D

epar tment of Health 4. C ent er f

or Sustainable M

alar ia C ontr ol , D epar tment of Ur ology 5. C ent er f or I nf or mation

Technology in the I

nt

er

est S

ociet

y

(CITRIS) Health C

ar e I nitiativ e 6. En vir

onmental & O

ccupational Health S

ciences D epar t‑ ment Bar wais et al . [ 72 ] Clinical T rial

Health and Qualit

y of Lif e Out comes Clinical medicine Q2 2.099 4 1. S

chool of Ex

er

cise and Nutr

ition S

ciences

2. D

epar

tment of P

hysical E

ducation and Spor

ts

3. S

chool of E

ducation and P

rof essional Studies Tsui et al . [ 73 ] Quasi ‑Exper imental Jour

nal of Diabet

es S ci ‑ ence and T echnology Not index ed

Not index

ed

–

0

1. D

epar

tment of Ophthalmology

2. D

epar

tment of M

edicine and the G

onda Diabet es C ent er 3. D epar

tments of P

sy

chology and P

sy chiatr y/Biobeha vioral Sciences 4. D epar

tment of Ophthalmology and Jules St

ein E ye Institut e G oldenber g et al . [ 74 ] Qualitativ e r esear ch Jour nal O f M edical Int er net R esear ch

mHealth and uHealth

Not index

ed

Not index

ed

–

1

1. D

epar

tment of Epidemiology

2. D

epar

tment of M

edicine

, Division of Aller

gy and I

nf ec tious Diseases 3. Huber t D epar

(14)

Number cita

tions Depar tmen ts in volv ed Br ick er et al . [ 39 ] Clinical T rial

Drug and Alcohol D

ependence

Neur

oscience & beha

vior

Q1 & Q2

3.278 9 1. F red Hut chinson C ancer R esear ch C ent er

, Division of P

ublic

Health S

ciences

2. D

epar

tment of P

sy

chology

3. D

epar

tment of Human C

ent

er

ed D

esig

n and Eng

ineer

ing

4. D

epar

tment of P

sy

chiatr

y and Beha

vioral S ciences Lopez et al . [ 22 ] Technolog ical de vel ‑ opment Jour nal O f M edical Int er net R esear ch

mHealth and uHealth

Not index

ed

Not index

ed – 0 1. C ent er f or I nno

vation and Health E

ducation

2. S

chool of M

edicine and Health S

ciences

3. Syst

ems and C

omputing Eng ineer ing D epar tment 4. S

chool of M

edicine M obasher i et al . [ 75 ] Re vie w Br east Clinical medicine

Q3 & Q1

2.581

0

1. D

epar

tment of Sur

ger

y & C

ancer

2. I

nstitut

e of Global Health I

nno

vation

3. D

epar

tment of Br

east Sur ger y Zmily et al . [ 76 ] Quasi ‑exper imental study Jour nal O f M edical Int er net R esear ch

mHealth and uHealth

Not index

ed

Not index

ed

–

0

1. S

chool of C

omput

er Eng

ineer

ing and I

nf or mation Technol ‑ ogy

2. Darat Samir Shamma

M irk ovic et al . [ 77 ] Technolog ical de vel ‑ opment Jour nal O f M edical Int er net R esear ch

mHealth and uHealth

Not index

ed

Not index

ed – 3 1. C ent er f or Shar ed D ecision M ak

ing and C

ollaborativ e C ar e Resear ch 2. D epar

nf or matics Klonoff [ 78 ] Re vie w Jour

nal of Diabet

es S ci ‑ ence and T echnology Not index ed

Not index

ed – 6 1. M ills ‑P

eninsula Health S

er vices van der W eegen et al . [ 79 ] Technolog ical de vel ‑ opment Jour nal O f M edical Int er net R esear ch

mHealth and uHealth

Not index

ed

Not index

ed

–

11

1. CAPHRI S

chool f

or P

ublic and P

rimar y C ar e, D epar tment of Health S er vices R esear ch 2. R esear ch C ent er

Technology in C

ar

e

3. CAPHRI S

chool f

or P

ublic Health and P

rimar y C ar e, D epar t‑

ment of G

eneral P rac tice Leal Net o et al . [ 80 ] Technolog ical de vel ‑ opment Jour nal O f M edical Int er net R esear ch

mHealth and uHealth

Not index

ed

Not index

ed – 0 1. A ggeu M agalhaes R esear ch C ent er

2. PPGIA, D

epar

tment of Statistics and I

nf

or

(15)

Number cita

tions Depar tmen ts in volv ed Albr echt et al . [ 81 ] D escr iptiv e Jour nal O f M edical Int er net R esear ch

mHealth and uHealth

Not index

ed

Not index

ed – 1 1. P .L. R eicher tz I nstitut e f or M edical I nf or matics

2. Nursing D

epar tment H illiar d et al . [ 82 ] Qualitativ e r esear ch Jour nal O f M edical Int er net R esear ch

mHealth and uHealth

Not index

ed

Not index

ed

–

2

1. Ba

ylor C

ollege of M

edicine

, D

epar

tment of P

ediatr ics 2. Nation wide Childr en´s Hospital 3. J ohns Hopk ins Univ ersit y S

chool of M

edicine , D epar tment of M edicine Ar nhold et al . [ 83 ] D escr iptiv e Jour nal O f M edical Int er net R esear ch Clinical medicine Q1 4.669 11 1. R esear ch A ssociation P

ublic Health Sax

on

y and Sax

on y‑ Anhalt Br et on et al . [ 84 ] D escr iptiv e Translational Beha vioral M edicine: P rac tice , Polic y, R esear ch Not index ed

Not index

ed – 42 1. The G eor ge W ashingt on Univ ersit

y of P

ublic Health and

Health S

er

vices

2. D

epar

ment of C

ommunit

y and F

amily M

edicine and 3.

Psy

chology and Neur

oscience BinDhim et al . [ 85 ] D escr iptiv e Jour nal O f M edical Int er net R esear ch

mHealth and uHealth

Not index

ed

Not index

ed – 2 1. Sy dne y M edical S chool , D epar

tment of P

ublic Health

2. P

ublic Health and Health I

nf or matics S chool Br eland et al . [ 86 ] D escr iptiv e Translational Beha vioral M edicine: P rac tice , Polic y, R esear ch Not index ed

Not index

ed

–

5

1. D

epar

tment of P

sy

chology

2. I

nstitut

e f

or Health, Health C

ar

e P

olic

y and A

ging R esear ch Silva et al . [ 87 ] Technolog ical de vel ‑ opment Jour nal O f M edical Int er net R esear ch Clinical medicine Q1 4.669 7 1. I nstitut o de Telecomunicaçoes

2. Nanjing Univ

ersit

y of P

osts and Telecomunications M ann et al . [ 88 ] Technolog ical de vel ‑ opment Jour nal O f M edical Int er net R esear ch

mHealth and uHealth

Not index

ed

Not index

ed

–

1

1. D

epar

tment of M

edicine

2. D

epar

tment of G

eneral I nt er nal M edicine 3. D epar

tment of P

re

ventiv

e M

edicine & Epidemiology

4. D

epar

ment of C

omput er S cience A guilera et al . [ 89 ] Technolog ical de vel ‑ opment Jour

nal of A

ffec tiv e Disor ders Psy chiatr y, psy chology Q2 3.383 1 1. Univ ersit

y of C

alif or nia, Ber kele y, US 2. Nor th w est er n Univ ersit y, US 3. Univ ersit

y of C

alif

or

nia, San F

rancisco

(16)

Number cita

tions Depar tmen ts in volv ed Almuna war et al . [ 90 ] Re vie w Health P olic y and Tech ‑ nology Not index ed

Not index

ed

–

0

1. S

chool of Business & E

conomics

, Univ

ersiti Brunei

2. CEC & J

oint Appointment e

‑G ov er nment I nno vation Centr e, Univ ersiti Brunei 3. D epar

tment of Health P

olic

y & M

anagement, Jackson Stat

e Univ ersit y, US An war et al . [ 91 ] Exper t Opinion Health P olic y and Technology Not index ed

Not index

ed

–

0

1. D

epar

tment of C

omput er S cience , Nor th C ar olina A&T Stat e Univ ersit y, USA 2. S

chool of I

nf or mation S ciences , Univ ersit

y of P

ittsbur

gh,

USA

3. Division of I

nf or mation Syst ems , M cM ast er Univ ersit y, Canada A zzaz yand Elbeher y [ 92 ] Re vie w

Clinica Chimica A

cta Clinical medicine Q1 2.824 0 1. No vel Diag nostics and Therapeutics , Y

ousef Jameel S

ci ‑ ence & Technology R esear ch C entr

e, and D

epar

tment of

Chemistr

y, S

chool of S

ciences & Eng

ineer ing , T he Amer ican Univ ersit

y in C

air o,E gypt 2. Graduat e P rog

ram of Biot

echnology

, S

chool of S

ciences and Eng ineer ing , T he Amer ican Univ ersit

y in C

air o, E gypt Boissin et al . [ 93 ] D escr iptiv e Bur ns Clinical medicine Q4 1.880 0 1. D epar

tment of P

ublic Health S

ciences , K ar olinsk a I nstitut et, Sw eden 2. St ellenbosch I nstitut e f or A

dvanced Study (STIAS),

W al ‑ lenber g R esear ch C entr

e at St

ellenbosch Univ ersit y,, S outh A frica 3. Univ ersit

y of S

outh A frica, P reller Str eet, P ret or ia, S outh A frica

4. Division of Emer

genc

y M

edicine

, F

acult

y of M

edicine and Health S ciences , St ellenbosch Univ ersit y, S outh A frica Bradwa y et al . [ 94 ] Exper t opinion Tr

ends in Endocr

inology and M etabolism Social science , general Q1 9.392 0 1. Nor w eg ian C entr e f or I nt eg rat ed C ar e and Telemedicine (NST ), Univ ersit

y Hospital of Nor

th Nor

wa

y, Nor

wa

y

2. US D

epar

tment of Stat

e Bur

eau of E

ducational and C

ultural

A

ffairs and IIE: Unit

ed Stat

es of Amer

(17)

Number cita

tions Depar tmen ts in volv ed Chang et al . [ 95 ] Technolog ical de vel ‑ opment Comput er M ethods and Pr og

rams n Biomedi

‑ cine Comput er science Q1 1.897 0 1. D epar

tment of Eng

ineer

ing S

cience

, National Cheng Kung

Univ ersit y,T aiwan 2. D epar

tment of Nursing

, C

ollege of M

edicine

, National

Cheng Kung Univ

ersit

y,

Taiwan

3. D

epar

tment of M

edical I

nf

or

matics

, National Cheng Kung

Univ

ersit

y Hospital

, C

ollege of M

edicine , T aiwan Danaher et al . [ 96 ] Re vie w Int er net I nt er ventions Not index ed

Not index

ed – 3 1. Or egon R esear ch I nstitut e, E ugene , USA 2. Nor w eg ian C entr e f or A ddic tion R esear ch, Univ ersit y of Oslo , Nor wa y 3. IEQ Technology , Spr ing field , USA Gr een et al . [ 97 ] Exper t Opinion Jour

nal of the Amer

ican

Societ

y of H

yper ten ‑ sion Clinical medicine Q3 2.606 0 1. Gr

oup Health C

ooperativ

e and Gr

oup Health R

esear ch Institut e, S eattle , W A, USA Guo et al . [ 98 ] Technolog ical de vel ‑ opment Comput

ers in I

ndustr y Comput er science Q3 1.287 0 1. D epar

tment of Nursing

, M ack ay M edical C ollege , Ne w Taipei, T aiwan 2. D epar

tment of I

nf

or

mation M

anagement, Chang Gung

Univ ersit y, T ao yuan, T aiwan

Helf and H

la vacs [ 99 ] Re vie w Ent er tainment C omput ‑ ing Not index ed

Not index

ed – 0 1. Univ ersit y of Vienna, R esear ch Gr oup Ent er tainment C om ‑ puting , F acult

y of C

omput

er S

cience

, W

ähr

inger Straße 29,

1090 V ienna, A ustr ia Jain et al . [ 100 ] D escr iptiv e A sian J our

nal of P

sy ‑ chiatr y Not index ed

Not index

ed

–

0

1. D

epar

tment of P

sy

chiatr

y, Pt. B

.D .S. P ost graduat e I nstitut e of M edical S ciences , R ohtak , Har yana, I ndia 2. D epar

tment of P

sy

chiatr

y, SP M

edical C ollege , Bik aner , Rajasthan, I ndia 3. D epar

tment of P

sy

chiatr

y, Dr

. SN M

edical C ollege , J odhpur , Rajasthan, I ndia 4. D epar

tment of P

sy

chiatr

y, SMS M

edical C ollege , Jaipur , Rajasthan, I ndia Kramer et al . [ 101 ] Exper t Opinion Cog nitiv

e and Beha

vioral Prac tice Psy chiatr y, psy chology Q3 1.562 1

1. National C

(18)

Number cita

tions Depar tmen ts in volv ed Kumar et al . [ 102 ] D escr iptiv e Jour

nal of the Amer

ican

Societ

y of H

yper ten ‑ sion Clinical medicine Q3 2.606 1 1. D epar

tment of M

edicine

, C

ambr

idge Health Alliance

, Har var d M edical S chool , USA; 2. D epar

tment of M

edicine

, All

‑India I

nstitut

e of M

edical S ci ‑ ences , Ne w D elhi, I ndia; 3. D epar

tment of M

edicine , Univ ersit y of Texas S outh w est er n M ed C ent er , USA

4. Division of Nephr

ology

, D

epar

tment of M

edicine , Beth Israel D eaconess M edical C ent er , Har var d M edical S chool , Bost on, USA Luciv er

o and P

rainsack [ 103 ] Exper t Opinion Applied and T ransla ‑ tional G enomics Not index ed

Not index

ed

–

0

1, S

ocial S

cience Health and M

edicine D epar tment, K ing ’s College L ondon, Unit ed K ingdom M

aciel and Ha

yashi [ 104 ] Technolog ical de vel ‑ opment Pr ocedia M anufac tur ing Not index ed

Not index

ed

–

0

1. Univ

ersidade F

ederal de P

er

nambuco

,Brazil

2. Univ

ersidadeF

ederal do Amaz

onas , Brazil M cC ar roll et al . [ 105 ] Clinical T rial G ynecolog ic Oncology Clinical medicine Q1 3.774 2

1. Summa Health Syst

em, Ak

ron, OH, USA

2. Youngst own Stat e Univ ersit y, Youngst

own, OH, USA

3. Nor

theast Ohio M

edical Univ

ersit

y (NEOMED), USA

Nocum et al . [ 106 ] Technolog ical de vel ‑ opment Pr ocedia M anufac tur ing Not index ed

Not index

ed

–

0

1. BS I

ndustr

ial Eng

ineer

ing student, D

epar

tment of I

ndustr

ial

Eng

ineer

ing and Operations R

esear

ch, UP Diliman, P

hilip ‑ pines 2. I nstruc tor , D epar

tment of I

ndustr ial Eng ineer ing and Operations R esear

ch, UP Diliman, 1101, P

hilippines

Nunes and Simões

‑ M ar ques [ 107 ] D escr iptiv e Pr ocedia M anufac tur ing Not index ed

Not index

ed

–

0

1. F

aculdade de Ciências e

Tecnolog

ia, Univ

ersidade No

va

de Lisboa

2. UNIDEMI, C

ampus de C

apar ica, C apar ica, P or tugal 3. CINA V‑ Por tuguese Na vy , Alf eit e, ALM AD A, P or tugal Olla et al . [ 108 ]. Technolog ical de vel ‑ opment Health P olic y and Tech ‑ nology Not index ed

Not index

ed – 0 1. M adonna Univ ersit y, Liv

onia 48150, USA

2. M cM ast er Univ ersit y, W est Hamilt on, C anada 3.iST OC A ut

omaatiotie 1, 90460 Oulunsalo

, F

(19)

Number cita

tions Depar tmen ts in volv ed O vbiagele [ 109 ] Re vie w Jour

nal of Str

ok e and Cer ebr ovascular Diseases Neur

oscience & beha

vior Q4 1.669 0 1. D epar

tment of Neur

ology and Neur

osur ger y, M edical Univ ersit

y of S

outh C ar olina, Char lest on, S outh C ar olina. Paschou et al . [ 110 ] Technolog ical de vel ‑ opment The J our

nal of Syst

ems and S of twar e Comput er science Q2 1.352 0 1. D epar

tment of C

omput

er Eng

ineer

ing & I

nf

or

matics

,

School of Eng

ineer

ing

, Univ

ersit

y of P

atras ,Gr eece 2. DFG ‑C ent er f or R egenerativ e Therapies Dr esden ( CR TD), TU Dr esden, G er man y Patt erson et al . [ 111 ] Qualitativ e r esear ch Seizur e Neur

oscience & beha

vior Q3 1.822 0 1. Dhulik hel Hospital , K avr e, Nepal

2. All I

ndia I

nstitut

e of M

edical S ciences , Ne w D elhi, I ndia 3. K athmandu M odel Hospital , K athmandu , Nepal

4. All I

ndia I

nstitut

e of M

edical S ciences , Ne w D elhi, I ndia

Schnall and I

ribar ren [ 112 ] Re vie w Amer ican J our nal of Inf ec tion C ontr ol Inmunology Q2 2.206 0 1. C olumbia Univ ersit y S

chool of Nursing

, Ne w Yor k Silva et al . [ 113 ] Re vie w Jour

nal of Biomedical

Inf or matics Comput er science Q1 2.126 0 1. I nstitut o de Telecomunicações , Univ ersit

y of Beira I

nt er ior , Co vilhã, P or tugal 2. C ent

er of Ex

cellence in I

nf

or

mation A

ssurance (

CoEIA),

King Saud Univ

ersit

y, Saudi Arabia

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(21)

Table 2 Main results and conclusions of reviewed papers

Paper Author/year Main results and conclusions

Paper 1: Assessment of the health IT usability evaluation model (Health‑ITUEM) for evaluat‑ ing mobile health (mHealth) technology

Brown et al. [43] This work analyzes the assessment model ITUEM (Health‑ITUEM) usability in adolescents when evaluating the usability of Health Apps

Paper 2: Capillary array waveguide amplified fluorescence detector for mHealth

Balsam et al. [44] This work aims to improve the operation of the optical detector in mobile phones through the expansion of fluorescent signals to be used in health apps with diagnostic purposes Paper 3: Development and

validation of an instrument to Measure user perceived service quality of mHealth

Akter et al. [31] Pilot study to develop a scale for measuring the quality perceived by the user regarding the mHealth which showed a clear link between service quality and satisfaction, as well as satisfac‑ tion and continuity in use, as well as between the quality of service and continued use

Paper 4: An autonomous mobile system for the management of COPD

Van der Heijden et al.

[25] Work based on the development of an app to detect exacerbations in COPD patients through the use of a spirometer and pulse oximeter. The evaluation showed that the model can reliably detect exacer‑ bations and the pilot study suggests that an inter‑ vention based on this system may be successful Paper 5: Mobile health in emerg‑

ing countries: A survey of research initiatives in Brazil

Iwaya et al. [25] Systematic review to see the state of development of mHealth initiatives in Brazil. Most projects were focused on health surveys and surveillance and patient records and monitoring, the majority being deployed as prototypes for testing and being supported by the university

Paper 6: The feasibility of using SMS as a health survey tool: An exploratory study in patients with rheumatoid arthritis

Lee et al. [26] This research tests the feasibility of using SMS as a tool for the study of patients with rheumatoid arthritis. It proved feasible, reducing response time and at a lower price than mail or postal mail Paper 7: H_pe for mHealth: More

“y” or “o” on the horizon? Labrique et al. [27] Letter to the editor in which appear a criticism of the changes and development that is occurring in mHealth, with a saturation of pilot studies, unclassifiable designs impossible to extrapolate to larger sample sizes and with a lack of evidence Paper 8: Context‑based and rule‑

based adaptation of mobile user interfaces in mHealth

Alnanih et al. [28] Study where a user interface (MUI) is developed to serve as a bridge between any application and the health professional. The results showed that the proposed improvement did not increase the efficacy, safety, navigation, productivity or efficiency in the work. Neither it increased its satisfaction

Paper 9: A Proposal of mobile sys‑ tem to support scenario‑based learning for health promotion

Menezes et al. [29] The document presents “KNOW Communities” which includes a series of virtual scenarios where the goal is to present health problems for students, workers and population, allowing developing educational activities. No results are displayed

Paper 10: Status and trends of mobile‑health applications for iOS devices: A developer’s perspective

Liu et al. [13] Study of 159 applications from the AppStore, approached from the perspective of developers, looking at features like architecture, interface design, etc. The purpose of the text is to be used as a reference and guide for anyone who wants to develop on iOS

Paper 11: mCHOIS: An Application of mobile technology for child‑ hood obesity surveillance

(22)

Table 2 continued

Paper Author/year Main results and conclusions

Paper 12: Evaluating the use of mobile phone technology to enhance cardiovascular disease screening by community health workers

Surka et al. [46] The purpose of this study is to develop an applica‑ tion that assess the risk of cardiovascular disease, assessing its impact on health staff and the duration of the screening, compared with paper‑ based. The application was considered easy to use, faster and more accurate, but with a worse visual display to explain the risk to the population Paper 13: Recognizing whether

sensors are on the same body Cornelius and Kotz [47] The proposition of this paper is to improve con‑nectivity with sensors Smartphone. It shows a probabilistic model to look for correlations between sensors and accelerometers of your device to avoid the above mentioned problem. The new model achieved an accuracy of 85 % Paper 14: LabPush: a pilot study

of providing remote Clinics with laboratory results via short mes‑ sage service (SMS) in Swaziland, Africa—a qualitative study

Hao et al. [35] The study presents the use of short message ser‑ vice (SMS) “LabPush” to send the most important results to the professionals, to facilitate and accel‑ erate decision‑making. SMS method shortened the turnaround time of results. The professionals expressed satisfaction at the prospect of starting treatment earlier, because communication with the laboratory was improved and if results were lost, it was easily recovered by a call

Paper 15: Thousand‑fold fluores‑ cent signal Amplification for mHealth diagnostics

Balsam et al. [32] Capillary array focus and image stacking computer that is capable of amplifying the weak fluorescent signals, thereby improving the sensitivity of the optical sensors of mobile devices. It is the same studio as Article 2

Paper 16: A literature review on attitudes of health professionals towards health information sys‑ tems: from e‑Health to m‑ Health

Sezgin and Ozkan

Yildirim [30] The study presents a review of the acceptance of health information systems by health profession‑ als. Through various theoretical models it gets explained the purpose of the health professionals in the use of health technologies with high rates of variability

Paper 17: Are we sure that Mobile Health is really mobile? An examination of mobile device use during two remotely‑ deliv‑ ered weight loss interventions

Turner‑McGrievya and

Tateb [37] This study compared the effectiveness in terms of access to information in the traditional way (desktops, laptops…) against mobile, and if they affect the results of commitment and health in a weight loss intervention in 137 patients. It showed greater weight loss for those who used the mobile device

Paper 18: A Classification scheme for analyzing mobile apps used to prevent and manage disease in late life

Wang et al. [15] The study carried out the classification of 119 mobile applications from the AppStore in the categories of health and welfare for the elderly. The classification was carried out satisfactorily, reaching 100 % agreement between what was developed in the study and what was conducted by two external encoders. This system give you a view of the distribution of applications to developers and allow users to know which one suits your needs.

Paper 19: A data encryption solu‑ tion for mobile health apps in cooperation environments

Silva et al. [87] The study has the goal to develop a system of data encryption (DE4MHA) to guarantee the security of data. That the app had a similar behaviour to the one it would have without the data encryp‑ tion system was achieved, so that quality was also guaranteed. The system could be adapted to other apps of mHealth

Paper 20: Adherence to evidence‑ based guidelines among diabe‑ tes self‑management apps