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Smartphone applications (Apps) provide a new way to deliver healthcare, illustrated by the fact that healthcare Apps are estimated to make up over 30% of new Apps currently being developed; with this number seemingly set to increase as the benefits become more apparent. In this paper, using the development of an In Vitro Fertilisation (IVF) treatment stress study App as the exemplar, the alternatives of Native App and Web App design and implementa-tion are considered across several factors that include: user interface, ease of development, capabilities, performance, cost, and potential problems. Development for iOS and Android platforms and a Web App using JavaScript and HTML5 are discussed.

Two case studies of the development of Smartphone self-reporting mHealth applications are described: a wellness diary for asthma management combined with Bluetooth pulse oximeter and manual peak flow measurements; and a questionnaire for ecological assessment of distress during fertility treat-ment. Results are presented of user experiences with the self-reporting applica-tion and the capture of physiological measurements in the case of the asthma diary project and the findings from a phone audit at an early stage of design in the case of the in vitro fertilisation (IVF) study. Issues raised by ethics commit-tees are also discussed. It is concluded that the optimal adoption of Smartphone self-reporting applications will require a good appreciation of user and ethics panel requirements at an early stage in their development, so that the correct de-sign choices can be made.

Two case studies of the development of Smartphone self-reporting mHealth applications are described: a wellness diary for asthma management combined with Bluetooth pulse oximeter and manual peak flow measurements; and a questionnaire for ecological assessment of distress during fertility treat-ment. Results are presented of user experiences with the self-reporting applica-tion and the capture of physiological measurements in the case of the asthma diary project and the findings from a phone audit at an early stage of design in the case of the in vitro fertilisation (IVF) study. Issues raised by ethics commit-tees are also discussed. It is concluded that the optimal adoption of Smartphone self-reporting applications will require a good appreciation of user and ethics panel requirements at an early stage in their development, so that the correct de-sign choices can be made.

Objective: To determine whether people’s beliefs about their illness, conceptualised by the common sense model (CSM), can prospectively predict adherence to self-management behaviours (including, attendance, medication, diet and exercise) in adults with acute and chronic physical illnesses. Design and Main Outcome Measures: Electronic databases were searched in September 2014, for papers specifying the use of the ‘CSM’ in relation to ‘self-management’, ‘rehabilitation’ and ‘adherence’ in the context of physical illness. Six hundred abstracts emerged. Data from 52 relevant studies were extracted. Twenty-one studies were meta-analysed, using correlation coefficients in random effects models. The remainder were descriptively synthesised. Results: The effect sizes for individual illness belief domains and adherence to self-management behaviours ranged from .04 to .13, indicating very weak, predictive relationships. Further analysis revealed that predictive relationships did not differ by the: type of self-management behaviour; acute or chronic illness; or duration of follow-up. Conclusion: Individual illness belief domains, outlined by the CSM, did not predict adherence to self-management behaviours in adults with physical illnesses. Prospective relationships, controlling for past behaviour, also did not emerge. Other factors, including patients’ treatment beliefs and inter-relationships between individual illness beliefs domains, may have influenced potential associations with adherence to self-management behaviours.

Evidence for an association between cortisol and clinical pregnancy in women undergoing In Vitro Fertilisation (IVF) is mixed with previous studies relying exclusively on short term measures of cortisol in blood, saliva, urine, and/or follicular fluid. Hair sampling allows analysis of systemic levels of cortisol over the preceding 3–6 months. The present study sought to explore the relationship between cortisol and clinical pregnancy outcome in women undergoing IVF utilising multiple indices of cortisol derived from both saliva and hair measured prior to commencing gonadotrophin treatment. A total of 135 women (mean age 34.5 SD +/−4.8) were recruited from an English fertility clinic (December 2012–April 2014) 60% of whom became pregnant (n = 81). Salivary cortisol data were obtained over two days: upon awakening, 30 min post awakening, and at 22:00. A subsample (n = 88) of the women providing salivary samples were approached consecutively to provide hair samples for the measurement of cortisol. Independent Logistic regression analyses revealed that salivary cortisol measures including cortisol awakening response (CAR) (p = 0.485), area under the curve with respect to ground (AUCg) (p = 0.527), area under the curve with respect to increase (AUCi) (p = 0.731) and diurnal slope (p = 0.889) did not predict clinical pregnancy. In contrast, hair cortisol concentrations significantly predicted clinical pregnancy (p = 0.017). Associations between hair cortisol and clinical pregnancy remained when controlling for accumulations of salivary cortisol (p = 0.034) accounting for 26.7% of the variance in pregnancy outcome. These findings provide preliminary evidence that longer term systemic cortisol may influence reproductive outcomes; and in turn suggests that interventions to reduce cortisol prior to commencing IVF could improve treatment outcomes.

Objective: To determine whether people’s beliefs about their illness, conceptualised by the common sense model (CSM), can prospectively predict adherence to self-management behaviours (including, attendance, medication, diet and exercise) in adults with acute and chronic physical illnesses. Design and Main Outcome Measures: Electronic databases were searched in September 2014, for papers specifying the use of the ‘CSM’ in relation to ‘self-management’, ‘rehabilitation’ and ‘adherence’ in the context of physical illness. Six hundred abstracts emerged. Data from 52 relevant studies were extracted. Twenty-one studies were meta-analysed, using correlation coefficients in random effects models. The remainder were descriptively synthesised. Results: The effect sizes for individual illness belief domains and adherence to self-management behaviours ranged from .04 to .13, indicating very weak, predictive relationships. Further analysis revealed that predictive relationships did not differ by the: type of self-management behaviour; acute or chronic illness; or duration of follow-up. Conclusion: Individual illness belief domains, outlined by the CSM, did not predict adherence to self-management behaviours in adults with physical illnesses. Prospective relationships, controlling for past behaviour, also did not emerge. Other factors, including patients’ treatment beliefs and inter-relationships between individual illness beliefs domains, may have influenced potential associations with adherence to self-management behaviours.

Smartphone applications (Apps) provide a new way to deliver healthcare, illustrated by the fact that healthcare Apps are estimated to make up over 30% of new Apps currently being developed; with this number seemingly set to increase as the benefits become more apparent. In this paper, using the development of an In Vitro Fertilisation (IVF) treatment stress study App as the exemplar, the alternatives of Native App and Web App design and implementa-tion are considered across several factors that include: user interface, ease of development, capabilities, performance, cost, and potential problems. Development for iOS and Android platforms and a Web App using JavaScript and HTML5 are discussed.

Two case studies of the development of Smartphone self-reporting mHealth applications are described: a wellness diary for asthma management combined with Bluetooth pulse oximeter and manual peak flow measurements; and a questionnaire for ecological assessment of distress during fertility treat-ment. Results are presented of user experiences with the self-reporting applica-tion and the capture of physiological measurements in the case of the asthma diary project and the findings from a phone audit at an early stage of design in the case of the in vitro fertilisation (IVF) study. Issues raised by ethics commit-tees are also discussed. It is concluded that the optimal adoption of Smartphone self-reporting applications will require a good appreciation of user and ethics panel requirements at an early stage in their development, so that the correct de-sign choices can be made.

Evidence for an association between cortisol and clinical pregnancy in women undergoing In Vitro Fertilisation (IVF) is mixed with previous studies relying exclusively on short term measures of cortisol in blood, saliva, urine, and/or follicular fluid. Hair sampling allows analysis of systemic levels of cortisol over the preceding 3–6 months. The present study sought to explore the relationship between cortisol and clinical pregnancy outcome in women undergoing IVF utilising multiple indices of cortisol derived from both saliva and hair measured prior to commencing gonadotrophin treatment. A total of 135 women (mean age 34.5 SD +/−4.8) were recruited from an English fertility clinic (December 2012–April 2014) 60% of whom became pregnant (n = 81). Salivary cortisol data were obtained over two days: upon awakening, 30 min post awakening, and at 22:00. A subsample (n = 88) of the women providing salivary samples were approached consecutively to provide hair samples for the measurement of cortisol. Independent Logistic regression analyses revealed that salivary cortisol measures including cortisol awakening response (CAR) (p = 0.485), area under the curve with respect to ground (AUCg) (p = 0.527), area under the curve with respect to increase (AUCi) (p = 0.731) and diurnal slope (p = 0.889) did not predict clinical pregnancy. In contrast, hair cortisol concentrations significantly predicted clinical pregnancy (p = 0.017). Associations between hair cortisol and clinical pregnancy remained when controlling for accumulations of salivary cortisol (p = 0.034) accounting for 26.7% of the variance in pregnancy outcome. These findings provide preliminary evidence that longer term systemic cortisol may influence reproductive outcomes; and in turn suggests that interventions to reduce cortisol prior to commencing IVF could improve treatment outcomes.

Objective: To determine whether people’s beliefs about their illness, conceptualised by the common sense model (CSM), can prospectively predict adherence to self-management behaviours (including, attendance, medication, diet and exercise) in adults with acute and chronic physical illnesses. Design and Main Outcome Measures: Electronic databases were searched in September 2014, for papers specifying the use of the ‘CSM’ in relation to ‘self-management’, ‘rehabilitation’ and ‘adherence’ in the context of physical illness. Six hundred abstracts emerged. Data from 52 relevant studies were extracted. Twenty-one studies were meta-analysed, using correlation coefficients in random effects models. The remainder were descriptively synthesised. Results: The effect sizes for individual illness belief domains and adherence to self-management behaviours ranged from .04 to .13, indicating very weak, predictive relationships. Further analysis revealed that predictive relationships did not differ by the: type of self-management behaviour; acute or chronic illness; or duration of follow-up. Conclusion: Individual illness belief domains, outlined by the CSM, did not predict adherence to self-management behaviours in adults with physical illnesses. Prospective relationships, controlling for past behaviour, also did not emerge. Other factors, including patients’ treatment beliefs and inter-relationships between individual illness beliefs domains, may have influenced potential associations with adherence to self-management behaviours.

Smartphone applications (Apps) provide a new way to deliver healthcare, illustrated by the fact that healthcare Apps are estimated to make up over 30% of new Apps currently being developed; with this number seemingly set to increase as the benefits become more apparent. In this paper, using the development of an In Vitro Fertilisation (IVF) treatment stress study App as the exemplar, the alternatives of Native App and Web App design and implementa-tion are considered across several factors that include: user interface, ease of development, capabilities, performance, cost, and potential problems. Development for iOS and Android platforms and a Web App using JavaScript and HTML5 are discussed.

Two case studies of the development of Smartphone self-reporting mHealth applications are described: a wellness diary for asthma management combined with Bluetooth pulse oximeter and manual peak flow measurements; and a questionnaire for ecological assessment of distress during fertility treat-ment. Results are presented of user experiences with the self-reporting applica-tion and the capture of physiological measurements in the case of the asthma diary project and the findings from a phone audit at an early stage of design in the case of the in vitro fertilisation (IVF) study. Issues raised by ethics commit-tees are also discussed. It is concluded that the optimal adoption of Smartphone self-reporting applications will require a good appreciation of user and ethics panel requirements at an early stage in their development, so that the correct de-sign choices can be made.

Evidence for an association between cortisol and clinical pregnancy in women undergoing In Vitro Fertilisation (IVF) is mixed with previous studies relying exclusively on short term measures of cortisol in blood, saliva, urine, and/or follicular fluid. Hair sampling allows analysis of systemic levels of cortisol over the preceding 3–6 months. The present study sought to explore the relationship between cortisol and clinical pregnancy outcome in women undergoing IVF utilising multiple indices of cortisol derived from both saliva and hair measured prior to commencing gonadotrophin treatment. A total of 135 women (mean age 34.5 SD +/−4.8) were recruited from an English fertility clinic (December 2012–April 2014) 60% of whom became pregnant (n = 81). Salivary cortisol data were obtained over two days: upon awakening, 30 min post awakening, and at 22:00. A subsample (n = 88) of the women providing salivary samples were approached consecutively to provide hair samples for the measurement of cortisol. Independent Logistic regression analyses revealed that salivary cortisol measures including cortisol awakening response (CAR) (p = 0.485), area under the curve with respect to ground (AUCg) (p = 0.527), area under the curve with respect to increase (AUCi) (p = 0.731) and diurnal slope (p = 0.889) did not predict clinical pregnancy. In contrast, hair cortisol concentrations significantly predicted clinical pregnancy (p = 0.017). Associations between hair cortisol and clinical pregnancy remained when controlling for accumulations of salivary cortisol (p = 0.034) accounting for 26.7% of the variance in pregnancy outcome. These findings provide preliminary evidence that longer term systemic cortisol may influence reproductive outcomes; and in turn suggests that interventions to reduce cortisol prior to commencing IVF could improve treatment outcomes.

Objective: To determine whether people’s beliefs about their illness, conceptualised by the common sense model (CSM), can prospectively predict adherence to self-management behaviours (including, attendance, medication, diet and exercise) in adults with acute and chronic physical illnesses. Design and Main Outcome Measures: Electronic databases were searched in September 2014, for papers specifying the use of the ‘CSM’ in relation to ‘self-management’, ‘rehabilitation’ and ‘adherence’ in the context of physical illness. Six hundred abstracts emerged. Data from 52 relevant studies were extracted. Twenty-one studies were meta-analysed, using correlation coefficients in random effects models. The remainder were descriptively synthesised. Results: The effect sizes for individual illness belief domains and adherence to self-management behaviours ranged from .04 to .13, indicating very weak, predictive relationships. Further analysis revealed that predictive relationships did not differ by the: type of self-management behaviour; acute or chronic illness; or duration of follow-up. Conclusion: Individual illness belief domains, outlined by the CSM, did not predict adherence to self-management behaviours in adults with physical illnesses. Prospective relationships, controlling for past behaviour, also did not emerge. Other factors, including patients’ treatment beliefs and inter-relationships between individual illness beliefs domains, may have influenced potential associations with adherence to self-management behaviours.

Smartphone applications (Apps) provide a new way to deliver healthcare, illustrated by the fact that healthcare Apps are estimated to make up over 30% of new Apps currently being developed; with this number seemingly set to increase as the benefits become more apparent. In this paper, using the development of an In Vitro Fertilisation (IVF) treatment stress study App as the exemplar, the alternatives of Native App and Web App design and implementa-tion are considered across several factors that include: user interface, ease of development, capabilities, performance, cost, and potential problems. Development for iOS and Android platforms and a Web App using JavaScript and HTML5 are discussed.

Two case studies of the development of Smartphone self-reporting mHealth applications are described: a wellness diary for asthma management combined with Bluetooth pulse oximeter and manual peak flow measurements; and a questionnaire for ecological assessment of distress during fertility treat-ment. Results are presented of user experiences with the self-reporting applica-tion and the capture of physiological measurements in the case of the asthma diary project and the findings from a phone audit at an early stage of design in the case of the in vitro fertilisation (IVF) study. Issues raised by ethics commit-tees are also discussed. It is concluded that the optimal adoption of Smartphone self-reporting applications will require a good appreciation of user and ethics panel requirements at an early stage in their development, so that the correct de-sign choices can be made.

Evidence for an association between cortisol and clinical pregnancy in women undergoing In Vitro Fertilisation (IVF) is mixed with previous studies relying exclusively on short term measures of cortisol in blood, saliva, urine, and/or follicular fluid. Hair sampling allows analysis of systemic levels of cortisol over the preceding 3–6 months. The present study sought to explore the relationship between cortisol and clinical pregnancy outcome in women undergoing IVF utilising multiple indices of cortisol derived from both saliva and hair measured prior to commencing gonadotrophin treatment. A total of 135 women (mean age 34.5 SD +/−4.8) were recruited from an English fertility clinic (December 2012–April 2014) 60% of whom became pregnant (n = 81). Salivary cortisol data were obtained over two days: upon awakening, 30 min post awakening, and at 22:00. A subsample (n = 88) of the women providing salivary samples were approached consecutively to provide hair samples for the measurement of cortisol. Independent Logistic regression analyses revealed that salivary cortisol measures including cortisol awakening response (CAR) (p = 0.485), area under the curve with respect to ground (AUCg) (p = 0.527), area under the curve with respect to increase (AUCi) (p = 0.731) and diurnal slope (p = 0.889) did not predict clinical pregnancy. In contrast, hair cortisol concentrations significantly predicted clinical pregnancy (p = 0.017). Associations between hair cortisol and clinical pregnancy remained when controlling for accumulations of salivary cortisol (p = 0.034) accounting for 26.7% of the variance in pregnancy outcome. These findings provide preliminary evidence that longer term systemic cortisol may influence reproductive outcomes; and in turn suggests that interventions to reduce cortisol prior to commencing IVF could improve treatment outcomes.

Objective: To determine whether people’s beliefs about their illness, conceptualised by the common sense model (CSM), can prospectively predict adherence to self-management behaviours (including, attendance, medication, diet and exercise) in adults with acute and chronic physical illnesses. Design and Main Outcome Measures: Electronic databases were searched in September 2014, for papers specifying the use of the ‘CSM’ in relation to ‘self-management’, ‘rehabilitation’ and ‘adherence’ in the context of physical illness. Six hundred abstracts emerged. Data from 52 relevant studies were extracted. Twenty-one studies were meta-analysed, using correlation coefficients in random effects models. The remainder were descriptively synthesised. Results: The effect sizes for individual illness belief domains and adherence to self-management behaviours ranged from .04 to .13, indicating very weak, predictive relationships. Further analysis revealed that predictive relationships did not differ by the: type of self-management behaviour; acute or chronic illness; or duration of follow-up. Conclusion: Individual illness belief domains, outlined by the CSM, did not predict adherence to self-management behaviours in adults with physical illnesses. Prospective relationships, controlling for past behaviour, also did not emerge. Other factors, including patients’ treatment beliefs and inter-relationships between individual illness beliefs domains, may have influenced potential associations with adherence to self-management behaviours.

Smartphone applications (Apps) provide a new way to deliver healthcare, illustrated by the fact that healthcare Apps are estimated to make up over 30% of new Apps currently being developed; with this number seemingly set to increase as the benefits become more apparent. In this paper, using the development of an In Vitro Fertilisation (IVF) treatment stress study App as the exemplar, the alternatives of Native App and Web App design and implementa-tion are considered across several factors that include: user interface, ease of development, capabilities, performance, cost, and potential problems. Development for iOS and Android platforms and a Web App using JavaScript and HTML5 are discussed.

Two case studies of the development of Smartphone self-reporting mHealth applications are described: a wellness diary for asthma management combined with Bluetooth pulse oximeter and manual peak flow measurements; and a questionnaire for ecological assessment of distress during fertility treat-ment. Results are presented of user experiences with the self-reporting applica-tion and the capture of physiological measurements in the case of the asthma diary project and the findings from a phone audit at an early stage of design in the case of the in vitro fertilisation (IVF) study. Issues raised by ethics commit-tees are also discussed. It is concluded that the optimal adoption of Smartphone self-reporting applications will require a good appreciation of user and ethics panel requirements at an early stage in their development, so that the correct de-sign choices can be made.