Journal of a Sustainable Global South, Vol. 4 No. 1, February 2020

1

Effectiveness of Intervention with Health (m-Health) Technology for Health Care Compliance: Literature Review

Ni Made Parwati1, Pande Januraga2, Suarjaya3

Doctoral Study Program

Medical Faculty-Udayana University

Jimbaran

parwati.md@gmail.com

School of Public Health

Faculty of Medicine-Udayana University

Jimbaran

Bali Health Office

Denpasar

Abstract

The integration of cellular technology in healthcare (M-Health) has the potential in coping with the constraints of the medical service system and to become a breakthrough to support the patients’ medication adherence. This review was conducted to compare and evaluate the effectiveness of M-Healthin terms of the patients’ medication adherence.The literature review conducting on PubMed, Cochrane Library, Ebsco Health and Taylor & Francis was confined to the articles published between 2010 and 2019. Fifteen articles relating to medication adherence were reviewed, eleven of which employed RCT methods including quasi-experiment that assessed the effectiveness of M-Health to measure the adherence, while four other researches employed qualitative studies to explore patients’ perceptions.The review showed that the intervention of m-Health is effective to drive the compliance of the treatment in accordance with healthcare promotion efforts as well as the prevention, screening and the management of the diseases. Two studies have shown inconsistent results regarding the prevention of obesity and the management of hypertension patients. The development of such model abd the integration of parallel m-Health and healthcare promotion will improve the long-term medication adherence.

Index Terms— effectiveness, compliance, M-health, health care

  • I.    Introduction1

The rapid development of information technology in the digital revolution era has now penetrated the health realm. Mobile Health (m-Health) or cellular health as a subsegment of e-Health comprises medical and public health practices which includes prevention, health promotion, healthcare, or the transmission of information resources, and services related to health using cellular gadgets.1 With the intervention of m-Health, health services are expected to be personal, participatory and cheaper.2 The communities

can access health services and interact with mobile devices through mobile applications3. This study was conducted to provide input related to health innovation in healthcare compliance.

  • II.    Methods

  • A.    Search Strategy

Literature review uses the database from PubMed, Ebsco Health, Cochrane Library, and Taylor & Francis with the articles analyzed by peer reviewers between 2010 and 2019.

  • B.    Inclusion and Exclusion Criteria

utilization of M-Health in public health issues that focused on the intervention for the healthcare compliance.

  • C.    Selection Process

Articles are identified by titles and abstracts, which are then screened according to inclusion criteria.

  • D.    Design and Synthetic Data

The extraction of the articles in the literature review is shown in Table 1.

TABLE I

Study, Year of publicat ion, Locatio n

Stud y desig n

Sample

Technol y

Interv entio n

Relevant

Findings

Margare

RCT

250

SM

Educatio

Weight   loss,

t et al

children

S

n through

The difference

(2016)

aged 18-

and

2

between    the

Australi

35 years

emai

telephone

intervention

a

with over weight

l

calls, text messages , monthly emails. Duration for 6 months

and control groups was 4.3 kg. (SE 1.3) P <0.001, (OR = 3.2 (95% CI: 1.4, 7.3) and 3.4 (1.4, 8.0), p <0.01

Partridg

RCT

250

SMS,

8 weekly

Fruit

e et al

children

email

text

consumption (p

(2017)

aged 19-

and

messages

=0.029),

Sidney

35 years

website

,      113

weekly reminder emails, and access to 114 education al applicati ons and 15 websites Duration: 9 months

maintenancechange  stages

(respectively p < 0.001 and p = 0.012).self-efficacy, 8% -

37%  of  the

total effect.

Nystrom

RCT

315

Web

Diet

FMI (p = 0.57)

et al

children

based

behavior

changes     in

(2018)

aged 4.5

applicati

with

composite

Sweden

years

on

MINIST OP   or

basic pamphlet s, weekly feedback, Duration: 6 months

scores ± standard

deviation + 0.53 ± 1.49 units and + 0.35 ± 1.27 units, p = 0.25 between groups

Yousuf

Mix

108

applicati

Smartpho

Adult reference

H. et al

meth

children

on

ne-based

rate (p <0.05)

(2016) South Africa

od

(2-15 years), 598 (1685 years).

hearing screening

(4.3%) in the younger, in the older (13.2%)

Adolfo

RCT

Interventi

SMS

Monthly

Changes    in

Rubinst ein et al (2016) Amerika Latin

on: control 316:321

telephone calls and weekly text

messages

systolic blood pressure p = 0.43) or diastolic blood pressure (0 · 01 mm Hg p = 0.99). body weight (–0 · 66 kg [–1.24 –0 · 07]; p = 0 · 04) and high fat and high food intake p = 0 ∙ 008)

Maria

A

Case:

SMS

Automati

Large reduction

Odette

quasi

contr

c Cardio

in fat

Gore et

-

ol

SMS

intake,

al

expe

204: 504

send text

Intervention vs.

(2018)

rime

(over 18

messages

control group

Colorad o

ntal

years)

56 people with acute

Smart phone and

accordin g to schedule

(26.3% vs

10.6%, p =

0.001). Greater program retention (p =

Lakshmi Narayana et al (2018) India

RCT

stroke (40

85 years

wireles s BP monito

r

M-healthbased HTN managem ent monitors its own blood pressure every day for 90 days

0.03)

In AT, HTN was controlled at 89% (23/26) IA and 58% (14/24) CA, (p = 0.015) m-Health had excellent uses in HTN control

Mauriell

335

applicati

Cessation

The risk was

o et al

(RA

pregnant

on

of risky

significantly

(2016) New York

L)

women

behavior for pregnant women with education through applicati ons on the iPad

less at 1 month (0.85 vs. 1.20, odds      ratio

[OR] 1⁄ 4.70) and 4 months postpartum (0.72 vs 0.91, or 1 ⁄ 4 .81).

Johnson et al (2016) Kenya

RCT

5164 married couples

SMS

Survey with text messages through the m4RH system with 3 stages for 6 months

Full access to m4RH increased consumer scores      on

contraceptive knowledge tests by 14% (95% confidence interval: 9.9% -18.2%)

Jasemza

RCT

130

applicati

EPPM-

There were no

deh et al (2017) India

pregnant women

n

based cellular telephone interventi

significant differences

between   the

mean

on

vulnerability

behavior

scores  (p  >

promotio

0.05),    high

n

response, and

pollution

self-efficacy,

protectio

protective

n, short

behavior;

message for 2 months

p <0.05.

Yan

RCT

62 people

WeCha

Weekly

m-Health  can

Guo at

are gay or

t

SMS

be   accepted

al

bisexual

reminder

and   facilitate

(2018)

s, and

access

China

articles three times a week through WeChat for 3 months

Natalie

Qualitati

2 focus

SMS

Receivin

Technology

Leon

groups of

g SMS as

using  text

(2015)

each 11

a

messages is

South

participa

motivatio

acceptable,

Africa

nts

n to

relevant

remind

and useful,

obedienc

providing

e

practical and

Qualitati

Werele

emotional

30

ss

support for

Sherida

partisipa

Health

improving

n W

nts

and

compliance

(2016)

FGD

Wellness

behavior

Amerika

Interventi

User

Serikat

n

views in

The design

Qualita

promotin

of

g

partnership

individua

and service

71

SMS

l

integration

Hirsch

patients

activities

technology

M

increases

(2017)

the

Lesotho

Treatmen

existence of users    for

sustainable behavior

t

change

reminder s by sms,

SMS

monthly

messages

in-depth

support

interview

compliance

s

with improved access   to

services for people with HIV / TB.

  • E.    Intervention Using m-Health

Various innovations have been made by adopting smartphone technology to create health care services in order to easily monitor patients’ health. This modification comes in different forms such as medication reminder

services, motivation, health promotion via SMS, telephone calls, software or applications. SMS intervention requires the most sophisticated hardware that can be used to send simple information to patients on their personal phones. Special software or applications including patient portals, management systems, and other complex communication platforms require commercially available smartphones [1].

  • III.    Results

  • A.    Characteristics of Study and Intervention

All studies that integrated technology-based interventions in the application of m-Health entirely focused on behavioral changing so that compliance arises in healthcare, especially in the intervention in preventive efforts[2][3][4][5], health promotion for behavioral change interventions [6][7][8], compliance with the treatments of the diseases [9][10][11][12][13][14][15]. Interventions are not limited to the intervention using SMS. There are various technological platforms used to inform patients about healthcare.

Eleven studies have used SMS or e-mails to remind patients about their medication on a daily and weekly basis, encourage them to do physical activity and give them nutritional advice [4][15]. The interventions were carried out for 12 weeks to 6 months, which is later evaluated to find the effects they had. We also found other studies that used website, multimedia and apps, wireless technology, WeChat, Pro Ask [2][3][14]. Four of which delved into the perspective of the community in relation to the experience of using m-Health for health promotion as well as its integration to traditional health services and the identification of risk factors in preventive programs of childhood obesity [16][8].

  • B.    Effectiveness of M-Health

We analyzed 11 studies (68.75%) with randomized controlled trial in various disease management strategies that measured the effect of compliance to treatment. We found that there was a statistically significant difference between groups (p<.05 to p<.001) in 5 studies. One study that employed a mixed method in hearing screening showed a significant effect on clinical utility and the development screening conducted by Community Care Workers with continued intervention at home via smartphone. This has shown to have a positive impact on compliance.

Two studies (13.33%) found a tendency of differences in outcomes among groups, but mostly did not reach statistical significance, except for a greater reduction in fat intake as reported in the intervention and control groups (26.3% vs 10.6%, p = 0.001).6 Also, a subset of survey participants who read SMS messages as encouragement showed a greater program retention (p = 0.03). In accordance with Margaret et.al. a weight loss occurred in the intervention group and with the difference of 4.3 kg to the control group, (SE 1.3) P <0.001, (OR = 3.2 (95% CI: 1.4, 7.3) and 3.4

(1.4, 8.0), P <0.01[3][15].

Studies in weight loss showed that there weren’t any statistically significant differences for body composition, food variable, or physical activity variable between the intervention group and the control group [2]. Comparing the common treatment to m-Health-based intervention on people with the risk of cardio metabolic diseases, we found that there wasn’t any change in the blood pressure. Yet, it affected a minor weight loss and gain on a few diet habits [10-11].

Text messaging can be an effective method for increasing the insight of family planning, but perhaps it’s not enough to make a behavioral change. It is necessary to identify barriers to be able to develop the strategy to reduce the risk of infant obesity [5][8] The high response and self-efficacy of both experiment and control groups in the parallel-based cell phone interventions can increase the awareness among pregnant women to develop the protective behavior against air pollution. The results are p<0.05. self-efficacy, 8% -37% of the total effect [1] [5-7]. Four qualitative studies (26.66%) were conducted to find the perception of the community of the advantages of m-Health. They employed interview methods, Focus Group Discussion to inform the community about m-Health.

These studies found that m-Health can sustain the accessibility of information in terms of the punctuality of the treatment. People with HIV/AIDS need the information to improve the quality of life, as strategies to reduce anxiety and depression [8][13].

The content of the SMS, the courteous nature of the messages, the frequency of SMS delivery as well as the relational aspects made the participants feel respected. The sub-groups that benefit the most are those who have struggled with compliance because of high levels of personal stress. The studies showed from monthly in-depth interviews that the participants found SMS reminders important to encourage the compliance [12].

  • IV.    Discussion

Short Message Service (SMS) reminders offers the confidentiality of recipients (especially people with HIV / AIDS). SMS reminder is effective in targeting isolated populations in rural areas and those with limited access to health information [14]. Qualitative studies provided feedback to the participants.

In addition, it is important to consider designing voice messages for people with poor literacy. It is also necessary to identify constraints especially those related to areas without internet connection and anticipatory efforts to resolve the situation [9]. It is essential to design m-Health technology with partnership in order to maintain the motivation, attain the behavioral change and a significant and sustainable compliance [16][9]

The users of m-Health argued that the application can be

more effective if it provides various medical information, integrated with traditional health treatments which are parallel with the information of health promotion. It is also necessary to provide a supervision in terms of the roles of m-Health application [9][16].

The increase of the treatment compliance is influenced by the choice of technology platforms with application design modifications that includes motivational texts using multimedia messaging and interactive programs [12]. SMS reminders have a measurable impact and have a greater ability to influence behavior than through radio and television campaigns.

Also, a subset of participants surveyed that saw SMS messages as motivation showed a greater program retention (p = 0.03) on the prevention of cardiovascular disease [3]. There were no significant results between the intervention and control groups in weight loss. This is possibly due to the short duration of interventions which is unable to sustain behavioral changes in weight loss [2]

Utilization of technology in health services requires the infrastructural support, human resources and funds which is why the involvement of stakeholders and policyholders is necessary for the empowerment of the regulations for the implementation. Areas with limited internet coverage need different approaches in terms of tackling the constraint in order to reach all targets. With adequate support, a sustainable service can be achieved.

  • V.    Conclusion

Health services through m-Health effectively encourage behavioral change in prevention interventions, health promotion and screening. Various designshave proven to increase people's interest in the use of m-Health.

References

  • [1]  [17] Lazakidou, Zimeras, S., Iliopoulou, D., Koutsouris., “M-

Health ecosystems and social networks in healthcare.(ebooks) 1st ed Kindle Edition Springer, 2016.

  • [2]    Nyström, Christine Delisle, Sven Sandin, Pontus Henriksson, Hanna Henriksson, Ralph Maddison, and Marie Löf., “A 12-Month followup of a mobile-based ( mhealth ) obesity prevention intervention in pre-school children: the ministop randomized controlled trial,”, BMC Public Health, 2018.

  • [3]    Odette, Maria, Mori J Krantz, Karen Albright, Brenda Beaty, Stephanie Coronel-mockler, Sheana Bull, and Raymond O Estacio., “A Controlled trial of mobile short message service among participants in a rural cardiovascular disease prevention program.” Preventive Medicine Reports, 2019.

  • [4]    Partridge, Stephanie R, Kevin Mcgeechan, Adrian Bauman, Philayrath Phongsavan, and Margaret Allman-Farinelli., “Improved confidence in performing nutrition and physical activity behaviours mediates behavioural change in young adults: mediation results of a randomised controlled m-health intervention”, J.Appetite, 2016.

  • [5]    Johnson, Douglas, Randall Juras, Pamela Riley, Minki Chatterji, and Phoebe Sloane., “A Randomized controlled trial of the impact of a family planning m-health service on knowledge and use of contraception”, J.Contraception,2016.

  • [6]    Jasemzadeh, Mehrnoosh, Morteza Abdullatif Khafaie, Nematallah Jaafarzadeh, and Marzieh Araban, “Effectiveness of a theory-based mobile phone text message intervention for improving protective behaviors of pregnant women against air pollution: a randomized

controlled trial.”, Environmental Science and Pollution Research, 2018.

  • [7]    Mauriello, Leanne M, Deborah F Van Marter, Cindy D Umanzor, Patricia H Castle, and Emma L De Aguiar, “Using MHealth to Deliver Behavior Change Interventions Within Prenatal Care at Community Health Centers”, American Journal of Health Promotion, 2015.

  • [8]    Rose, Jennie, Cris Glazebrook, Heather Wharrad, A Niroshan Siriwardena, Judy Anne Swift, Dilip Nathan, Stephen Franklin Weng, et al, “Proactive assessment of obesity risk during infancy (proask): a qualitative study of parents ’ and professionals ’ perspectives on an m-health intervention,”, BMC Public Health, 2019.

  • [9]    Leon, Natalie et al, “Improving Treatment Adherence for Blood Pressure Lowering via Mobile Phone SMS-Messages in South Africa: A qualitative evaluation of the sms-text adherence support (star) trial.”, European Journal of Preventive Cardiology.BMC Family Practice, 2015.

  • [10]    Rubinstein, Adolfo, J Jaime Miranda, Andrea Beratarrechea, Francisco Diez-canseco, Rebecca Kanter, Laura Gutierrez, and Antonio Bernabé-ortiz, “Effectiveness of an m-health intervention to improve the cardiometabolic profi le of people with prehypertension in low-resource urban settings in Latin America: a randomised controlled trial”, J. Lancet Diabetes Endocrinol, 2016.

  • [11]    Lakshminarayan, Kamakshi, Sarah Westberg, Carin Northuis, Candace C. Fuller, Farah Ikramuddin, Mustapha Ezzeddine, Julie Scherber, and Stuart Speedie, “A M-Health-based care model for improving hypertension control in stroke survivors: pilot RCT.”, J. Contemporary Clinical Trials, 2018.

  • [12]    Guo, Yan, Zhimeng Xu, Jiaying Qiao, Y. Alicia Hong, Hanxi Zhang, Chengbo Zeng, Weiping Cai, Linghua Li, and Cong Liu., “Development and feasibility testing of an m-health (text message and wechat) intervention to improve the medication adherence and quality of life of people living with HIV in China: Pilot randomized controlled trial.”, Journal of Medical Internet Research, vol. 6, 2018.

  • [13]    Hirsch-Moverman, Yael, Amrita Daftary, Katharine A Yuengling, Suzue Saito, Moeketsi Ntoane, Koen Frederix, Llang B Maama, and Andrea A Howard., “Using m-health for hiv / tb treatment support in lesotho: enhancing patient - provider communication in the start study”, J Acquir Immune Defic Syndr vol 74, 2017.

  • [14]    Yousuf Hussein, Shouneez, De Wet Swanepoel, Leigh Biagio de Jager, Hermanus C. Myburgh, Robert H. Eikelboom, and Jannie Hugo.,  “Smartphone hearing screening in mhealth assisted

community-based primary care.”, Journal of Telemedicine and Telecare vol.22, 2016.

  • [15]    Margaret, Allman-Farinelli, Partridge Stephanie, McGeechan Kevin, Balestracci Kate, Phongsavan Philayrath, Hebden Lana, Wong Annette, Denne Wilson Elizabeth, Harris Mark, and Bauman Adrian., “Maintenance of behaviour change after a 12-week m-health lifestyle programme for young adults.”, Frontiers in Public Health, 2016.

  • [16]    Buhi, Eric R, Tara E Trudnak, Mary P Martinasek, Alison B Oberne, and Hollie J Fuhrmann., “Mobile phone-based behavioural interventions for health: a systematic review, Health Education Journal.”, 2012.