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ICT for Health: Networks, standards and innovation




           the open-ended survey question, the predominant pathways   Beyond the risks of social control, this has the potential to
           to impact as well as the motivations and current practice of   open  up  individuals  to  the  risks  of  exploitation  through
           the participants with regards to personal informatics. Figure   surveillance  capitalism  and  commoditization  of  personal
           1 highlights the main “motivation and use” themes with their   data, as has been demonstrated, for example, in the cases of
           corresponding coding reference frequencies.        23andMe, Facebook, and Cambridge Analytica [17]–[19].

            Table 1 - Motivations and styles of personal informatics   Thirdly,   the   empowerment   narrative   echoes   the
                                                              technological  determinism  sentiments,  which  are  not
             Motivation & use / Tracking                      universally valid and consistent. In our survey results, on the
             style                                            investigation  of  the  participants’  use  of  personal  health
                                           Directive    Documentary   Diagnostic   Rewards   Fetishised   informatics  towards  health  outcomes  and  the  attitudes

                                                              towards data sharing, we coded 18 references that expressed
                                                              both a strong resistance and refusal to use and / or to share
             Awareness and monitoring        X                personal health data. For example: “I don’t use information
                                                              or data. I take my medicines and vitamins, and see my doctor
             Benefit for others                               often” (GIS_806); “How I feel, do not use data” (GIS_504),
             Compare and reflect                X             “Mindfulness of my moods and stress level; awareness that I
             Curiosity and information                        am  the  major  actor  in  my  life,  but  that  I  can’t  control
             Dealing with an ailment     X      X             anything outside myself” (GIS_379), where the participants
             Informing action            X                    emphasized the reliance on self-awareness as opposed to on
             Maintaining health and          X                technology  devices  and  data;  “Actually  none  because
             wellbeing                                        everything  changes  and  everyone  has  their  viewpoint  to
             Reach new goals and improve   X                  make you believe what they are telling is true” (GIS_596),
                                                              expressing the lack of trust in the system stakeholders.
           The  motivations  and  uses  of  personal  health  informatics
           identified  in  our  research  correspond  to  three  of  five  of   Health informatics tools and technologies are employed to
           Rooksby  et  al.  [13]  style  styles  of  personal  information   empower patients to achieve  better health and to improve
           tracking.  These  observations  support  the  position  that  as   health  service  delivery  by  health  service  providers.  The
           individuals  engage  in  the  collection  and  use  of  personal   impact  pathways  from  these  digital  resources  to  specific
           health  data,  through  various  impact  pathways  and  a   health  outcomes  are  non-trivial  and  need  to  be  critically
           combination  of  personal  conversion  factors  [14],  they  are   understood,  taking  into  consideration  the  situations  of  the
           empowered to pursue and achieved desired health outcomes.   different actants, the contextual factors, as well as the overall
           This empowerment narrative of personal health informatics   digital health ecosystem.
           has  informed  many  digital  health  programs  and  projects
           around the world. It has, however, been criticized and shown   2.2   Health data ecosystem
           to present an overly simplified techno-utopian perspective
           that fails to consider the nuanced complexities of personal   Individuals are the primary unit of attention within the health
           health informatics.                                domain, as far as being the main beneficiaries of the targeted
                                                              health outcomes. They, however, exist as one of the actants
           Firstly,  while  the  importance  of  the  informational  and   within  a  complex  ecosystem  consisting  of  a  variety  of
           technology  resources  cannot  be  denied,  the  empowerment   stakeholders,  including  health  service  providers,  health
           narrative fails to recognize the varying agency as well as the   industry stakeholders, public sector entities, households, and
           endowments of conversion factors, such as underlying data   communities, as well as other civil society stakeholders. The
           and  digital  illiteracies,  as  well  as  general  illiteracy,  for   use  of  data  towards  the  achievement  of  health  outcomes,
           different  individuals  and  population  groups  [14].  In  an   therefore, permeates this complex ecosystem and needs to be
           empirical research investigating “informational practices” of   considered  when taking into consideration the interactions
           32 mid-life women on the use of hormone replace therapy   with  and  the  data  exchanges  between  the  different
           (HRT) for relief of menopausal symptoms, Henwood et al.   stakeholders.
           [9] found that there was a strong reluctance on the part of the
           participants  to take on the implied responsibilities of data   Firstly, in the context of the sustainable development data
           management; they observed problems with the information   ecosystem or that of future data-driven societies, sharing of
           literacy of the participants; and there were also challenges   personal  data  needs  to  be  considered  not  only  with
           associated with information-sharing in medical encounters   individuals’  personal  social  circles  but  also  with  other
           with health professionals.                         stakeholders within the wider data ecosystem. For example,
                                                              the role of citizen-generate data to support the monitoring of
           Secondly,  the  proliferation  of  personal  health  informatics   progress towards the sustainable development goals, through
           technologies that track and monitor our everyday functioning   direct contributions to the indicators or via proxy indicators,
           has  the  potential  to  unleash  Orwellian  techno-dystopia  of   has been recognized and well highlighted in the literature.
           panoptic surveillance assemblages that extend paternalistic
           social  control  by  the  strong  and  the  powerful  [15],  [16].




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